Remote Learning Opportunities and Skills Fulfillment (pilot)

Online Learning Opportunities

Microsoft for Startups Founders Hub

Purpose and objectives for remote work

Microsoft for Startups Founders Hub is a digital platform that provides tailored resources, support and benefits to assist new businesses at any digital maturity level, with no funding requirements. The program is for Startups in any business field that plan to incorporate some digital tools as a part of their business processes.

Businesses that are eligible to join the Hub receive up to $150,000 worth of MS Azure credits, along with access to MS development and productivity tools and services such as Open AI, Github, Studios, Dynamics 365 and other third-party offers. Besides, companies can receive mentorship and technical guidance from the MS expert network.

In upcoming chapters, you will find detailed information about each product and service offered by MS for Startups Founders Hub.

Benefits for applicants doing business remotely

Incorporate AI into your product or service using OpenAI products such as Chat-GPT4, DALL-E and others.
Use one integrated environment, MS Azure, to store your company data and explore the selection of over 200 cloud computing solutions to various business needs.
Collaborate with colleagues in IT product and service development projects and use the wide range of IT solution libraries for your benefit in GitHub enterprise.
Develop, test, debug, and deploy your software and programs in Visual Studio Enterprise with MS AI features, one of the most comprehensive Integrated Development Environments for .NET and C++ developers.
Empower everyone in your organisation to develop solutions with low-code tools such as interactive dashboards with Key Performance Indicators or automate processes using Power Automate.
Manage business operations by integrating Enterprise Resource Planning, Customer Relationship Management and other applications offered by MS Dynamics 365.
Enhance productivity and collaboration by using communication tools such as MS Teams or Skype, and by using everyday common tools such as MS Excel, Word and PowerPoint.

For the overview of the benefits of MS for Startups Founders Hub, please, see the table below.

Support and benefits from Microsoft family of products and services

Benefit	Level 1: Ideate	Level 2: Develop	Level 3: Grow	Level 4: Scale
Azure credits	$1k/1 year	$5k / 1 year (Additional $4k +1 year for those who go from level to level 2)	$25k/ 1 year (Additional $20k + 1 year for those who go from level 2 to level 3)	$150 k/ 2 years (when entering at L4)( Additional 125k + 1 year for those who go from level 3 o level 4)
Azure Standard Support	Access to 24/7 Azure Global Support
MS 365 Business Standard	10 seats / 1 year
GitHub Enterprise	20 seats / 1 year
PowerBI Pro	10 seats / 1 year
Visual Studio Enterprise	5 seats, until the time in Founders Hub ends
Visual Studio Code	Free download

Trusted third-party offers from MS for Startup Funders Hub

Developer Tools and Prototyping
OpenAI	Free access to OpenAI team. $2,500 worth of OpenAI credits
Bubble	$3,000 in credits
CodeSee	3 months free subscription, additional 25% discount for next 3 months
Massdriver	Unlimited seats for 1 year ($20,000 value)
MongoDB	Up to $5,000 credits / 1 year

Fundraising and Investment Readiness
Swoop	50% discount on Swoop’s Fundraising Package (1 year at a value of $1,250)
E.B. Howard Consulting	60% discount on full EBHC Funding Menu service (1 year at a value of $3,300)
Forecastr	30% discount on Forcastr Launch Plan (1 year at a value of $2,800)
WE.VESTR	Free 1 year subscription for Startups of less than 30 Stakeholders. Startups with over 30 stakeholders receive a 70% discount for the first year.
Yoodli	Free 3-month subscription (valued at $100)
Ansarada	Free 1 year access to Ansarad’s board portal and curated startup deal room

Sales, Marketing and Customer Management
LinkedIn	$1,000 in LinkedIn ads credits. For Qualified members 75% off 4-month Recruiter Lite, Sales Navigator Core, and LinkedIn Premium Business subscriptions
Close	1-month free, then 12 months 80% discount on any Close subscription plan

Business Tools
Byteboard	55% discount on 1-year subscription (valued at $6,950)
Toptal	15% discount on global freelance services up to %25,000, valued at $4,500 for 12 months
Stripe	$25,000 in fee-free payment processing. 50% discount on incorporation fee worth $250.
Mercury	$750 cash when you deposit $50,000 within 90 days of approval. Free checking and savings accounts, ACH transfers, domestic and international wires, and more (up to $30,000 in value).
Miro	Access to Miro Team offer or Growth offer

Application process

To join MS for Startups Founders Hub, all applicants have to meet the selection criteria:

Your startup must be engaged in the development of a software-based product or service that will be a core part of your current or intended business – this software must be owned, not licensed by another party.
Your startup has received fewer than $10,000 in free Azure credits.
Your headquarters is in one of the countries covered by Azure.
Your startup has not gone through a Series D or later funding round.
Your startup must be privately held.
Your startup must be a for-profit business.
Your startup is not an educational institution, government entity, personal blog, dev shop, consultancy, agency, bitcoin, or cryptomining company.

To apply for the Hub, you first need to have a LinkedIn account which you can sign up for here. If you have linked in your profile, then the sign-up for the Founders Hub for startup can be done here.

After application, it takes up to 5 working days to receive acceptance or non-acceptance for the Hub.

In case of admission to the MS for Startups Founders Hub, you can select one of the four categories- Ideate, Develop, Grow, or Scale (see picture below).

For a detailed view of the application process and Hubs portal, please, see this YouTube video.

With the platform, startups can build their businesses at their own pace with up to $150,000 of Microsoft Azure. As usage increases, founders can unlock additional credits over time. For instance, if a founder is in the “Ideate” stage and is developing a prototype we will provide $1,000 for one year. If the startup utilises those credits in a few months, they can request more from within the platform and we will move them up to the “Develop” stage at $5,000 for one year.

https://blogs.microsoft.com/blog/2022/03/08/microsoft-for-startups-founders-hub-now-open-to-all-no-funding-needed/

For more information about the program, application process, and benefits go to the MS for Startups Support Center

Disclaimer

This information provided for the Distance Lab project is based on the information, pictures and sources available on the Microsoft website (https://www.microsoft.com/en-us/). It contains links to other websites or content belonging to or originating from third parties or links to websites. Such external links are not investigated, monitored, or checked for accuracy, adequacy, validity, reliability, availability or completeness by us. We do not warrant, endorse, guarantee, or assume responsibility for the accuracy or reliability of any information offered by third-party websites linked through the site or any website and feature linked in any banner or other advertising, we will not be a party to or in any way be responsible for monitoring any transaction between you and third party providers of products or services.

Microsoft Azure Cloud Platform

Products of Azure Cloud Services

MS Azure is an industry leading cloud computation platform, which has over 200 products and services in Computing services, Storage services, analytics and big data, Internet of Things (IoT), AI and machine learning, networking and others.

Purpose and objective for remote work

Enabling users to build, run, and manage applications across multiple clouds, on-premises, and at the edge, with the tools and frameworks of choice.
Providing one connected ecosystem of diverse service and product offerings for the digital needs of users.
Ensuring availability of services that enable processes automatization, integration, productivity, scalability, security, and global reach.
Providing cutting-edge technologies for resource and cost optimization.

Opportunities and benefits

Storing and managing all data in one place (Azure cloud).
Building applications by using DevOps tools.
Using advanced tools such as AI&ML, IoT, BI and big data analytics.
Ensuring the highest data security by encryption, threat detection and access management.
Ensuring server and data availability at all times.
Not needing upfront costs to buy hardware and make own company server and database infrastructure

To see the full list of MS Azure products and services, please, go to the Azure products web page.

Accessibility, costs and timing

The Founders Hub program offers from 1,000 to 150 thousand dollars’ worth of credits for usage of Azure services for a maximum of 4 years. The amount of Azure credit depends on the assigned startup development stage (Described in 1.1.1.). If your startup is in level 1, then you can get $1,000 worth of credits, in level 2, an additional $4,000 worth of credits, in level 3, an additional $20,000 worth of credits, and in level 4, an additional $100,000 worth of credits.

The credits can be used in any of the Azure cloud products and services. Azure follows a pay-as-you-go pricing model where users are only charged for the resources consumed. To see the prices of Azure products and services, please, visit the Azure product pricing web page. To see the costs and billing details, log into the Azure Sponsorship Portal.

To learn more about the frequently used terms in cloud computing, visit the cloud computing term site. For theoretical and practical knowledge about MS Azure, check out the MS Learn platform Azure learning path site. There you can select specific learning paths or modules ranging from 25 minutes worth of material up to several weeks of video lectures, articles and tasks.

If there is a need for support, please, visit the Azure support site, where you can find more information about. Information about Azure If you have a specific question about your problem, then it is possible to request support through your Azure profile, on the left side menu, bottom of the list there is a Help + support option.

For more information visit the Azure webpage.

Disclaimer

This information provided for the Distance Lab project is based on the information, pictures and sources available on the MS Azure (https://azure.microsoft.com/en-us). It contains links to other websites or content belonging to or originating from third parties or links to websites. Such external links are not investigated, monitored, or checked for accuracy, adequacy, validity, reliability, availability or completeness by us. We do not warrant, endorse, guarantee, or assume responsibility for the accuracy or reliability of any information offered by third-party websites linked through the site or any website and feature linked in any banner or other advertising, we will not be a party to or in any way be responsible for monitoring any transaction between you and third party providers of products or services.

Microsoft CoPilot for Microsoft 365

What is Microsoft Copilot for Microsoft 365

The MS Copilot for MS 365 is an advanced AI tool for enhancing productivity and creativity across the MS suite of applications and services. The copilot uses large language models (LLMs) from ChatGPT with your data to assist you through various MS applications such as Word, Excel, PowerPoint, Outlook, Teams and more.

Currently, there are two types of MS copilot- Web-based Copilot and Copilot for MS 365. The major differences between the two can be seen in the picture below.

The Web-based Copilot can be used for free but it has limited usability. The best feature of it is the chat feature, where it will answer asked questions. This feature is based on ChatGPT Language learning models and encompasses similar features to it. The copilot can provide information about all kinds of topics that can be found on the surface web and does not violate its terms and conditions. Below in the picture, you can find the user interface of the copilot and examples of its use case.

Opportunities and benefits

The features and benefits of a Web-based MS Copilot:

Information retrieval from a database and the web – quick to find answers to questions;
Communication in different languages – answers to your questions and tasks can be done in your preferred language;
Generation of content – copilot can generate stories, songs, essays, codes, jokes, summaries, reviews, explanations and more;
Writing assistance – improve user writing and give suggestions for better text;
Error identification and rectification – save users time by correcting text errors;
Image understanding – analyze and understand a picture and give relevant response.

MS Copilot for MS 365 has the potential to revolutionize the way work online is being done, by eliminating small, repetitive and time-consuming tasks. This copilot version includes all the benefits of Web-based MS Copilot plus many more:

Enhanced productivity as the copilot for MS 365 can be linked with various MS applications and services (see picture below).

Provides intelligent solutions such as Excel reports, presentations based on the text that is provided, summaries of documents and more.
Copilot adheres to privacy, compliance and enterprise-grade security standards to make sure that the data of the company is safe and not used for third-party interests.

Benefits of copilot for Word documents:

Based on the information that is given to the copilot (Prompts), it can create first drafts of the paper, and suggest new ideas and directions.
The copilot can transform texts into tables and vice-versa.
The copilot can search for additional details that are necessary for the documents.
Create a summary of the documents.

Benefits of copilot for PowerPoint:

Based on the prompts given, the copilot can create draft slides and draft presentations.
The copilot can generate a summary of the presentation.
The copilot can structure and rearrange presentation and restructure slides.
Use already existing enterprise presentation styles and templates for creating new slides and presentations.

Benefits of copilot in Excel:

The copilot can be used for exploring and better understanding data in Excel files.
The copilot can analyse and visualize data.
Generation of formulas based on your data.
The copilot can help in highlighting, filtering and sorting data.

Benefits of copilot for Outlook:

The copilot can help with writing e-mails by giving it prompts about what the e-mail is about.
The copilot can summarize long email conversations.
Emails can be created by using different tones and writing styles.

Benefits of Copilot for Teams:

The copilot can make real-time summaries of the online Teams call or meeting.
The copilot can analyse chats and conversations.
Use copilot to quickly access relevant information from documents, presentations, emails, calendar invites, notes and contacts.

Benefits of copilot for OneNote:

It can summarize the selection of your notes.
Use notes to create a to-do list, and actionable plans for events, meetings and celebrations.

Benefits of copilot for Whiteboard:

The copilot can suggest ideas to enhance creativity and complement the existing template of the whiteboard.
It can organize ideas and structure output so that you do not have to.
It can summarize whiteboard outputs.

Accessibility and costs

The MS Copilot for MS 365 costs $30.00 per user in a month with an annual commitment.

Before you can access Copilot for Microsoft 365, you must meet the following requirements:

Microsoft 365 E3, E5, F3, A3, A5, Business standard or Business premium licensing is a prerequisite.
An Azure Active Directory-based account is required.
You need to have a OneDrive account for several features within Copilot, such as saving and sharing your files. Deploy a OneDrive account.

MS has created the Copilot for MS 365 onboarding kit that is available for download on this page, which consists of sets of informational e-mails that can be sent out to employees who want to learn how to use Copilot for MS 365.

MS has made MS copilot for MS 365 documentation page, where all relevant information about the copilot can be found. Important information and answers to questions about the MS copilot for MS 365 can be found on the products overview page. To find more information about data, privacy and security please visit this page. Guidance for achieving strong data security before implementing the MS pilot can be found in the Apply principles of Zero Trust to Microsoft Copilot for Microsoft 365 page. Information about managing MS copilot for the needs of the enterprise can found here.

Before deciding on implementing MS copilot for 365 in your enterprise we highly recommend completing free-of-charge courses and video series about the MS copilot:

Get started with Copilot for Microsoft 365
Discover how to successfully drive the adoption of Microsoft Copilot for Microsoft 365 in your organization
Video series about the copilot for MS 365
To get a better understanding of MS Copilot possibilities watch this short video.

For specific questions about the copilot, please, refer to the copilot for MS 365 community or MS documentation page.

Disclaimer

Purpose and objective

MS Learn is an online learning platform where individuals can get free, interactive, and hands-on learning experiences in developing skills and knowledge related to Microsoft technologies, products, and services, starting from beginner level up to advanced level. After completion of the module, learning path, or instructor-led training a certification of completion is awarded.

Benefits for applicants

All learning material available on the platform is free of charge.
Possibility to learn at own pace and come back to the last learning point at any time.
Many modules offer environments for learners to test the actual tool of interest in real-world scenarios.
Learning opportunities for all levels and backgrounds.
Learning paths prepare students for MS certification exams.
Community guidelines and forums for individuals to seek help and support.

Application process

The learning journey in the MS Learn platform starts with account creation. If the user already has an MS account, then that account can be used for signing in the MS Learn and creating an MS Learn profile which will record and store learning activities. For more information and customization of the profile refer to MS Learn profile setting guide.

In the platform, individuals can browse modules, instructor-led training, and learning paths by career paths that individual is pursuing or by MS products of interest. To see all available modules, instructor-led training and training paths go to browse all training.

In the browse all training page, at the left side of the page, you can filter the training by product of MS, by roles the individual intends to master, levels of individual, subjects of IT field, and types of training.

In the catalogue of all available trainings, you will see three different types of training: module, instructor-led training, and learning path.

A module is typically a small (less than an hour) web-based course that provides information about services and technologies. Each module consists of multiple units, which are webpages of actual training content provided in various forms (text, video, knowledge checks, interactive experiences). Each module is a part of one or several Learning paths, which is a collection of related modules. (See picture below)

After selecting either a module, instructor-led training, or learning path you can start your learning journey by clicking on the desired course and pressing the Start button. (see picture below)

Each module, instructor-led training, and learning path has assigned experience points you can get after completion, which can be seen on the top right corner of the training page. The experience points contribute to your experience level. (see the example in the picture below)

More information on your achievements, completed courses, and credentials can be found on your profile page, which can be accessed by clicking on the top right corner badge of credentials and pressing the Profile button. (See picture below)

Artificial Intelligence

In the rapidly evolving digital landscape, Artificial Intelligence (AI) has emerged as a transformative force, redefining the way businesses operate, innovate and compete. The integration of AI technologies into business processes is no longer futuristic concept but a strategic approach for companies seeking to gain a sustainable competitive advantage by enhancing operational efficiency, minimizing costs, and delivering exceptional customer experiences.

Microsoft product catalogue includes AI tools that can be used for enhancing business practices such as Azure, Power Bi and Dynamics 365. MS Azure AI offers a wide range of AI services and Cognitive APIs that enable businesses to build intelligent applications capable of seeing, hearing, speaking, understanding and interpreting human needs. Power BI leverages AI to transform data into actionable insights, facilitating informed decision-making across all levels of an organization. Dynamics 365, with its AI-driven insights, optimizes customer engagement and streamlines operations, enabling businesses to anticipate customer needs and deliver personalized experiences.

Artificial Intelligence for Beginners

What the course is about and its format

In the course, participants will learn core concepts and principles of AI, ML, regression models, Azure machine learning tools, and more. At the end of the modules, students will have a self-check questionnaire to assess and test their knowledge.

For whom it is and its difficulty, benefits of the course

The course is for beginners who want to learn more about AI, and ML and how to use these technologies with MS provided tools such as MS Azure.

Brief content of the course

The course is divided into four blocks:

Introduction to data, AI, ML and Python
Machine learning models and data
Machine learning in MS Azure, regression models
Natural language processing, computer vision and Azure Open AI.

Duration of the course

Self-paced learning, around 40 hours of material.

Course Content

Introduction to AI, and ML

Machine learning models and data

Machine learning in MS Azure, regression models

Natural language processing, computer vision and Azure Open Ai

Artificial Intelligence with Python

What the course is about and its format

In the course, participants will learn core concepts and principles of AI, ML, regression models, Azure machine learning tools, and more. At the end of modules, students will have a self-check questionnaire to assess and test their knowledge.

For whom it is and its difficulty, benefits of the course

The course is for intermediate level who want to learn more about AI, ML and how to use these technologies with MS provided tools such as MS Azure.

Brief content of the course

The course is divided into 4 blocks :

Introduction to AI, and
Machine learning models and
Machine learning in MS Azure, regression
Natural language processing, computer vision and Azure Open AI.

Duration of the course

Self-paced learning, around 50 hours of material

Course content

Introduction to AI, and ML

Machine learning models and data

Machine learning in MS Azure, regression models

Natural language processing, computer vision and Azure Open Ai

Data analysis and visualization tools

Data analysis and visualization tools are an important part of the business decision making process. With proper techniques used and tools at hand, business managers can make informed decision making. Moreover, these tools can be valuable not only for top managers but also for employees who have data driven jobs such as financial analysts, business analysts, marketing and sales employees, supply chain analysts and others. Being able to use raw data, transform and visualize it is a valuable ability that companies should possess to gain sustainable competitive advantage.

One of the most used tools for data analysis and visualization is MS Excel and MS PowerBI, which complement each other. Excel is an ideal space for creating, manipulating a performing complex calculations for small to medium-sized data sets, whereas PowerBI is a tool that can transform those data sets into visual material such as Key Performance Indicators, dashboards and graphs. The following course will give participants the necessary skills to start using PowerBI.

Business and Data Analysis

What the course is about and its format

The course is designed to give participants both theoretical and practical knowledge in business and data analysis using Power BI and other MS applications.

For whom it is and its difficulty, benefits of the course

The course is set to have materials that participants can go through and learn all the necessary information without prior experience. This beginner to intermediate level course will give participants knowledge on how to import data, clean data, model data and visualize it.

Brief content of the course

The course material is divided into 8 blocks:

What is Power Platform and Power BI?
Basics of Power BI reports and dashboards
Start to work with data
Power BI from a DevOps point of view
Power Query, calculated fields and data risk mitigation
DAX
Visuals
Publish and Share

Duration of the course

The course takes approximately 2 months at 10 hours per week to complete.

Course Content

What is Power Platform and Power BI?

Basics of Power Bl reports and dashboards

Start to work with data

Power BI from a DevOps point of view

Power Query, calculated fields and data risk mitigation

DAX

Visuals

Publish and Share

Programming languages

Programming languages have been the core of computer science and technology since it was first created by IBM corporation in 1957. Since then, a lot has changed, and various programming languages for various purposes have been introduced. One of the most relevant programming languages recently has been Python.

Python is an open-sourced programming language that is widely used nowadays in the development of web applications, game and software development, internet of things applications, AI and ML applications, and also for data analysis and task automation. Python syntax is easier to understand than other programming languages, it has multipurpose use cases and large libraries, which contributes to the gain in popularity of the language. MS Learn platform offers courses in Python for beginners who want to learn basic principles and use cases in the MS ecosystem.

Python for beginners

What the course is about and its format

The course provides information about the basic concepts and principles of Python programming language.

For whom it is and its difficulty, benefits of the course

The course is for those with little or no experience in programming and Python. After completion of the course, participants will be able to use the Python interpreter to execute statements and scripts, build a simple Python app that takes input and produces output, and understand and use Python basic for code writing.

Content of the course

Duration of the course

The course is estimated to take 30 hours of work to complete.

Disclaimer

This information provided for the Distance Lab project is based on the information, pictures and sources available on the MS Learn platform (https://learn.microsoft.com/en-us/training/) and Virtual Internships in Baltics platform (https://balticinternships.eu/). It contains links to other websites or content belonging to or originating from third parties or links to websites. Such external links are not investigated, monitored, or checked for accuracy, adequacy, validity, reliability, availability or completeness by us. We do not warrant, endorse, guarantee, or assume responsibility for the accuracy or reliability of any information offered by third-party websites linked through the site or any website and feature linked in any banner or other advertising, we will not be a party to or in any way be responsible for monitoring any transaction between you and third party providers of products or services.

EIT Digital

General information about organization

EIT Digital is a European digital innovation and entrepreneurship education organization, which was founded in 2008 to foster growth and quality of life in Europe by providing education and sets of services to SMEs, entrepreneurs, corporations, universities, and governments. EIT Digital focuses on 3 key areas: Innovation and Entrepreneurship, Ecosystem building, and Education.

Innovation and Entrepreneurship activities include facilitating cross-border collaboration projects, providing fundraising programme for business development, or venture programme for Entrepreneurs.

Networking events, workshops, innovation days and collaborative projects facilitate the EIT Ecosystem building, making it a digital centre for EU digital Innovation and entrepreneurship activities.

EIT Digital offers various opportunities to learn and improve skills by participating in EIT Digital Master School, Summer School, Professional School, and Self-paced courses, which can be accessed in the largest online learning platform Coursera. EIT Digital has published 3 specialisation tracks and 46 courses in the Coursera platform. More information about the specialization tracks can be found on the next pages.

Value Creation Through Innovation Specialization

What the course is about and its format

The Value Creation Through Innovation specialization track equips you with the fundamental knowledge and skills to foster innovation and generate value in the fast-paced business world of today. It will enable you to acquire a competitive edge in marketing, sales,
digital marketing, and entrepreneurship. The course provides a flexible schedule that allows you to access the study materials and engage with interactive content at your convenience and pace.

For Whom it is and its difficulty, benefits of the course

Upon completing this track, you will have gained practical skills in innovation, entrepreneurship, marketing strategies, technology-based innovation, and transformation. You will be able to identify and capitalize on emerging opportunities. The track is for those who already have little experience and know the most basic principles in previously mentioned topics. Possibility to get certification after completion of the track.

Brief content of the course

The specialization track consists of 5 courses:

Duration of the course

The specialisation track is estimated to take approximately 3 months at 10 hours a week.

Privacy and Standardization Specialization

What the course is about and its format

The Privacy and Standardisation Specialization dives into the topic of legal texts for technological solutions, legal rules of standardisation and (the history of) privacy laws in this privacy and standardisation.

The privacy courses provide a historical perspective on international privacy rights, while the standardisation course covers the legal context and scalable power of standardisation.

For whom it is and its difficulty, benefits of the course

The course is for those who have knowledge and experience in international law, privacy, and technology. After completion of this track, you will know the legal fundamentals in European and American privacy laws, the societal role of standards and fundamentals that constitute a good standard, and you will be able to relate privacy and data protection to human rights and freedoms.

Brief content of the course

The specialization track consists of 5 courses:

Duration of the course

The specialisation track is estimated to take approximately 2 months at 10 hours a week.

Disclaimer

This information provided for the Distance Lab project is based on the information, pictures and sources available on the EIT Digital webpage (https://www.eitdigital.eu/) and Coursera platform (https://www.coursera.org/). It contains links to other websites or content belonging to or originating from third parties or links to websites. Such external links are not investigated, monitored, or checked for accuracy, adequacy, validity, reliability, availability or completeness by us. We do not warrant, endorse, guarantee, or assume responsibility for the accuracy or reliability of any information offered by third-party websites linked through the site or any website and feature linked in any banner or other advertising, we will not be a party to or in any way be responsible for monitoring any transaction between you and third party providers of products or services.

Elements of AI

Elements of AI is a learning platform where people from all around the world can learn the basic principles and usage of AI. The platform was first launched in 2018 to educate Finish citizens about AI, and since then, the platform has expanded its reach to global level and updated information on courses. Elements of AI offers two free-of-charge courses – Introduction to AI and Building AI. The courses are available in all official European Union languages and in Austrian, Belgian, Icelandic, Luxembourgish, and Norwegian. After completing the course, it is possible to gain a certificate of completion.

To start learning in the Elements of AI platform you first need to sign up. After that, you will be able to log in to your profile and choose which course to learn from the menu bar. On the course homepage, you will see statistics of your progress such as correct answers percentage and exercises completed (See the picture below).

Course content can be seen in chapters that are divided into multiple sections. The chapter is completed when the exercises are passed (see picture below)

Introduction to AI

What the course is about and its format

Introduction to AI is an online learning course dedicated to teaching participants key principles, concepts and ideas about AI, machine learning and neural networks. The goal of this course is to demystify AI.

For whom it is and its difficulty, benefits of the course

The course is for those who have little to no knowledge in AI, machine learning, and neural networks. Participants will understand how AI might affect their job or life, what AI is and how it is created. After completing the course, participants will receive a certificate of course completion that can be shared on LinkedIn and other platforms.

Brief content of the course

The course is divided into 6 chapters and subsequent sections:

What is AI? – How should we define AI; II. Related fields; III. Philosophy of AI.
AI problem solving – Search and problem solving; II. Solving problems with AI; III. Search and games.
Real world AI – Odds and probability; II. The Bayes rule; III. Naive Bayes classification.
Machine learning – The types of machine learning; II. The nearest neighbour classifier; III. Regression.
Neural networks – Neural network basics; II. How neural networks are built; III. Advanced neural network techniques.
Implications – About predicting the future; II. The societal implications of AI; III. Summary

Duration of the course

It is estimated that, to complete the course it takes up to 6 weeks, 5-10 hours a week.

Introduction to AI

What the course is about and its format

Building AI course is for those who want to learn in a more practical way how to utilize AI technology in reality. Tests after each section and exercises available provide an opportunity for participants to check their knowledge. It is recommended to complete the Introduction to AI course before starting this one.

For whom it is and its difficulty, benefits of the course

The course is designed for 3 difficulty levels – beginner, intermediate, and advanced. Participants can easily switch from one level to another to get different level of exercises and training. To get the most out of the course, some Python programming skills are recommended.

After completion of the course, you will know how to generate your AI idea and present it. Also, you will have the opportunity to gain certification of course completion.

Brief content of the course

The course consists of 5 chapters and subsequent sections:

Getting started with AI – I. Why Ai matters; II. Optimization; III. Hill climbing.
Dealing with uncertainty – I. Probability fundamentals; II. The Bayes Rule; III. Naive Bayes classifier.
Machine learning – Linear regression; II. The nearest neighbour method; III. Working with text; IV. Overfitting.
Neural networks- I. Logistic regression; II. From logistic regression to neural networks; III. Deep learning.
Conclusion – I. Summary; II. Your AI idea; III. Ai idea gallery

Duration of the course

The course completion will take approximately 50 hours.

Disclaimer

This information provided for the Distance Lab project is based on the information, pictures and sources available on the Elements of AI platform (https://www.elementsofai.com/). It contains links to other websites or content belonging to or originating from third parties or links to websites. Such external links are not investigated, monitored, or checked for accuracy, adequacy, validity, reliability, availability or completeness by us. We do not warrant, endorse, guarantee, or assume responsibility for the accuracy or reliability of any information offered by third-party websites linked through the site or any website and feature linked in any banner or other advertising, we will not be a party to or in any way be responsible for monitoring any transaction between you and third party providers of products or services.

Coursera platform

General information about the platform

Coursera is an online learning platform that provides a wide range of courses for anyone to learn at their own pace. The platform was first launched in 2012 and since then it has become the global leader in online learning courses with over 7,000 courses available. Coursera collaborates with top universities and experts to create high-quality courses that feature interactive content and peer-reviewed assignments. Besides, one can enhance their learning experience by participating in community discussion forums and live events.

Purpose and Objective

Coursera was founded with a vision to make education more affordable as compared to traditional methods and accessible to everyone from anywhere. The platform offers a wide variety of courses, specializations, professional certificates, and degrees from top universities and organizations worldwide.

Benefits for applicants

Many courses and specializations on Coursera are designed to equip learners with the skills needed in the job market.
Accessible from anywhere from a computer/smartphone/tablet as long as there is an internet connection.
Learning at own pace and own schedule.
Courses for various levels of topics.
Certification after completion of a course, specialization, and degree learning paths.
High quality content of courses developed by professionals.
Possibility to access course materials and complete courses free of charge.

Costs

Coursera offers a 7-day free trial that grants access to all courses. After the end of the free trial, you can select your subscription plan:

	Single program learning	Coursera Plus Monthly	Coursera Plus Annual
Learning possibilities	Single course selected	Access to 7,000+ courses and specializations	Access to 7,000+ courses and specializations
Certification	Single certificate	Unlimited certificate amount	Unlimited certificate amount
Cost	45-73 € / Month	54 € / month	370 € / year upfront expense
Extras		Participate in 1,000 applied projects. Possibility to obtain certificates from Google, Facebook and other industry leaders.	Participate in 1,000 applied projects. Possibility to obtain certificates from Google, Facebook and other industry leaders.

Application process

To start the learning journey in Coursera, creating a personal profile is necessary, which can be done on the sign-up page. You can use your email, Google or Facebook account to create a profile.

After the signing up process, you can start your free 7-day trial.

To explore and find relevant courses for you, search in the taskbar for the exact topic of interest or start exploring the available courses from the Explore bar (see picture below).

you want to browse from all available courses go to the Browse all page.

At the top right corner of the Coursera main page, you can access information about courses that you have enrolled in through My Courses, edit your profile and information about yourself on the Coursera page through Profile, see all the purchases and subscriptions through My Purchases, edit and update information about your account details and preferences through Settings, check information about enrolled courses, specialisations and degrees through Updates, see all your successfully finished learning paths through Accomplishments, use Coursera help centre to find or ask any relevant question.

In the following sections, you can find information about the learning courses that are best rated and most popular among topics of Artificial Intelligence, data and business analysis, programming languages, business process automation, big data and big data analysis, online marketing tools, and website creation.

Artificial Intelligence and Machine Learning

AI For Business Specialization by the University of Pennsylvania

What the specialization is about

AI For Business Specialization developed by one of the top Universities of the USA, the University of Pennsylvania will introduce participants to possibilities that AI offer to support businesses from various aspects.

Brief content of the specialization

The specialization is divided into 4 courses:

AI Fundamentals for Non-Data Scientists.
AI Applications in Marketing and Finance.
AI Applications in People Management.
AI Strategy and Governance.

For whom it is and its difficulty, benefits of the specialization

The course is for beginners with little to no experience who want to learn AI, machine learning and big data fundamentals, and how to apply them to support your business.

By the end of this course, you will have an understanding of ethical AI, and the relationship between data analytics, AI and ML. More specifically, you will understand how to use AI, ML and data analytics for marketing, Finance, People management, and governance.

Duration of the course

The course is estimated to take 10 hours per week for a month to complete.

Machine Learning Specialization

What the specialization is about

The Machine Learning Specialization is an online program developed by Standford University together with DeepLearning.Ai that teaches the basics of machine learning and how to use it in real-world AI applications.

For whom it is and its difficulty, benefits of the specialization

The course is for beginners who know basic level coding (for loops, functions, if/else statements) & high school-level math (arithmetic, algebra).

After completion of the course, you will be able to build ML models, apply unsupervised learning techniques for your model, build neural networks, and more.

Brief content of the specialization

The specialization is divided into 3 course series:

Supervised Machine Learning: Regression and Classification.
Advanced Learning Algorithms.
Unsupervised Learning, Recommenders, Reinforcement Learning.

Duration of the course

The course is estimated to take 10 hours per week for two months to complete.

Natural Language Processing Specialization

What the specialization is about

Natural Language Processing Specialization is designed to give participants information and practical tasks to learn about the subcategory of AI, Natural Language Processing (NLP). This technology is critical for effectively analysing massive quantities of unstructured, text-heavy data, and is one of the most widely applied areas of machine learning.

For whom it is and its difficulty, benefits of the specialization

This is an intermediate-level specialization for those who have a working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & statistics.

After course completion you will be able to:

Use logistic regression, naïve Bayes, word veg, hidden Markov models, and word embeddings to autocorrect misspelt words, autocomplete partial sentences, and identify part-of-speech tags for words.
Use dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks in TensorFlow and Trax to perform advanced sentiment analysis, text generation, named entity recognition, and to identify duplicate questions.
Use encoder-decoder, causal, and self-attention to perform advanced machine translation of complete sentences, text summarization, question-answering, and to build chatbots. Learn T5, BERT, transformer, reformer, and more.

Brief content of the specialization

The specialization is divided into 4 courses:

Natural Language Processing with Classification and Vector Spaces.
Natural Language Processing with Probabilistic Models.
Natural Language Processing with Sequence Models.
Natural Language Processing with Attention Models.

Duration of the course

It is estimated that the course takes 3 months at 10 hours per week of practice and learning to complete.

Machine Learning Engineering for Production (MLOps) Specialization

What the specialization is about

Machine Learning Engineering for Production (MLOps) Specialization is for those who want to become machine learning experts and be able to conceptualize, build, and maintain integrated systems that continuously operate in production.

For whom it is and its difficulty, benefits of the specialization.

This is an advanced-level specialization, and it is recommended to have knowledge in AI/ deep learning, intermediate Python skills, and experience with any deep learning framework (PyTorch, Keras, or TensorFlow).

After completion of the specialization, you will be able to:

Design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment requirements.
Establish a model baseline, address concept drift, and prototype how to develop, deploy, and continuously improve a production ML application.
Build data pipelines by gathering, cleaning, and validating datasets.
Implement feature engineering, transformation, and selection with TensorFlow Extended.
Establish data lifecycle by leveraging data lineage and provenance metadata tools and follow data evolution with enterprise data schemas.
Apply techniques to manage modelling resources and best serve offline/online inference requests.
Use analytics to address model fairness, and explainability issues, and mitigate bottlenecks.
Deliver deployment pipelines for model serving that require different infrastructures.
Apply best practices and progressive delivery techniques to maintain a continuously operating production system.

Brief content of the specialization

The specialization is divided into 4 courses:

Introduction to Machine Learning in Production.
Machine Learning Data Lifecycle in Production.
Machine Learning Modeling Pipelines in Production.
Deploying Machine Learning Models in Production.

Duration of the course

It is estimated that the course takes 2 months at 10 hours per week of practice and learning to complete.

Data analysis and visualization tools

Data Analysis and Visualization Foundations Specialization

What the specialization is about

Data Analysis and Visualization Foundations Specialization is designed to provide participants with basic knowledge of Excel and Cognos applications. This Specialization is designed for learners interested in starting a career in the field of Data or Business Analytics.

For whom it is and its difficulty, benefits of the specialization

To participate in the course, you do not need any prior experience in data analytics. The course will equip participants with the knowledge to explain the basic functionality of spreadsheets and utilize Excel to perform a variety of data analysis tasks, list various types of charts and plots and create them, describe the data ecosystem, and tasks a Data Analyst performs.

Brief content of the specialization

The specialization is divided into 4 courses:

Introduction to Data Analytics.
Excel Basics for Data Analysis.
Data Visualization and Dashboards with Excel and Cognos.
Assessment for Data Analysis and Visualization Foundations.

Duration of the specialization

To complete the specialization, it is estimated to take the learning of 10 hours a week for 1 month.

Business Statistics and Analysis Specialization

What the specialization is about

For whom it is and its difficulty, benefits of the specialization

This course is for beginners with no experience in data analysis. This course is for beginners with no experience in data analysis.

After completion of the specialization, you will have knowledge in essential spreadsheet functions, descriptive business data measures, data modelling, basic probability concepts, linear regression models and more.

Brief content of the specialization

The specialization is divided into 5 courses:

Introduction to Data Analysis Using Excel.
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions.
Business Applications of Hypothesis Testing and Confidence Interval Estimation.
Linear Regression for Business Statistics.
Business Statistics and Analysis Capstone.

Duration of the specialization

To complete the specialization, you need to invest 10 hours a week for 3 months.

Data Analysis with R Specialization

What the specialization is about

Data Analysis with R Specialization developed by Duke University is for those who want to learn how to use R and RStudio, one of the most popular and powerful statistical and analytical programming languages. R programming language is designed to generate statistical calculations, analysis, and visualizations, though R use cases are numerous.

For whom it is and its difficulty, benefits of the specialization

The specialization is designed so that anyone with no prior experience and knowledge in data analysis with R can learn the fundamentals.

In this Specialization, you will learn to:

analyse and visualize data in R and create reproducible data analysis reports.
Demonstrate a conceptual understanding of the unified nature of statistical inference.
Perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions.
Communicate statistical results correctly, effectively, and in context without relying on statistical jargon.
Critique data-based claims and evaluate data-based decisions.
Wrangle and visualize data with R packages for data analysis.

Brief content of the specialization

The specialization is divided into 3 courses:

Introduction to Probability and Data with R.
Inferential Statistics.
Linear Regression and Modeling.

Duration of the specialization

To complete the specialization, you need to invest 10 hours a week for 3 months.

Programming skills

Python for Everybody Specialization

What the specialization is about

Python for Everybody Specialization is the first step into understanding and being able to utilize the possibilities that Python programming language provides for analysing data.

For whom it is and its difficulty, benefits of the specialization

This course is for beginners with no prior experience in Python programming.

In the track, you will learn about data structures, networked application program interfaces, and databases. The theoretical learning part, combined with practical tasks will give you experience and a better understanding of how to design and create your applications for data retrieval, processing, and visualization.

Brief content of the specialization

The specialization is divided into 5 courses:

Programming for Everybody( getting started with python).
Python Data Structures.
Using Python to Access Web Data.
Using Databases with Python.
Capstone: Retrieving, Processing, and Visualizing Data with Python.

Duration of the specialization

To complete the specialization, you need to invest 10 hours a week for 2 months.

Coding for Everyone: C and C++ Specialization

What the specialization is about

Coding for Everyone: C and C++ Specialization introduces participants to C and C++ which are two of the most widely used programming languages. C is one of the first programming languages designed for system programming, which is still relevant today and from whom many other languages are built. Understanding C and C++ can provide a solid foundation for learning other languages more easily.

For whom it is and its difficulty, benefits of the specialization

This Specialization is intended for all programming enthusiasts, as well as beginners, computer and other scientists, and artificial intelligence enthusiasts seeking to develop their programming skills in the foundational languages of C and C++.

In the specialization, you will learn about algorithms and how to properly express them, as well as how to write and debug code in both languages.

Brief content of the specialization

The specialization is divided into 4 courses:

C for Everyone: Programming Fundamentals.
C for Everyone: Structured Programming.
C++ For C Programmers, Part A.
C++ For C Programmers, Part B.

Duration of the specialization

To complete the specialization, you need to invest 10 hours a week for 1 month.

Java Programming and Software Engineering Fundamentals Specialization

What the specialization is about

Java Programming and Software Engineering Fundamentals Specialization is a comprehensive learning programme that is valuable for those who want to build a career in software engineering or for those who want to learn core programming concepts to solve complex problems. Java is used for the development of web applications, mobile applications, enterprise applications, embedded systems and more.

For whom it is and its difficulty, benefits of the specialization

The course is designed to first introduce participants to basic principles, therefore, no prior experience is required.

After completion of this specialization, you will have gained skills in:

Software engineering.
Java programming.
Data structures.
Computer programming.
HTML.
Debugging.
JavaScript.
Cascading Style Sheets(CSS).
Software design.

Brief content of the specialization

The specialization is divided into 5 courses:

Programming Foundations with JavaScript, HTML and CSS.
Java Programming: Solving Problems with Software.
Java Programming: Arrays, Lists, and Structured Data.
Java Programming: Principles of Software Design.
Java Programming: Build a Recommendation System.

Duration of the specialization

To complete the specialization, you need to invest 10 hours a week for 6 months.

Learn SQL Basics for Data Science Specialization

What the specialization is about

Learn SQL Basics for Data Science Specialization is developed by the University of California, Davis, and is aimed at those who want to learn about databases. SQL stands for Structured Query Language which is a programming language used for collecting, managing, storing and utilizing structured data.

This specialization is beneficial for companies that on a daily basis receive extensive amounts of structured data and want to use it to their benefit.

For whom it is and its difficulty, benefits of the specialization

This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. In this specialization you will learn to:

Use SQL commands to filter, sort, & summarize data; manipulate strings, dates, & numerical data from different sources for analysis.
Assess and create datasets to solve your business questions and problems using SQL.
Use the collaborative Databricks workspace and create an end-to-end pipeline that reads data, transforms it, and saves the result.
Use programmes such as Apache Spark and methods like data wrangling, AB testing, Delta Lake and more.

Brief content of the specialization

The specialization is divided into 4 courses:

SQL for Data Science.
Data Wrangling, Analysis and AB Testing with SQL.
Distributed Computing with Spark SQL.
SQL for Data Science Capstone Project.

Duration of the specialization

To complete the specialization, you need to invest 10 hours a week for 2 months.

Automation for business processes

Implementing RPA with Cognitive Automation and Analytics Specialization

What the specialization is about

Implementing RPA with Cognitive Automation and Analytics Specialization is designed to introduce RPA, provide a foundation of the RPA lifecycle–from design to bot deployment–and implement RPA with cognitive automation and analytics. With RPA, companies can deploy software robots to automate repetitive tasks, improving business processes and outcomes. When used in combination with cognitive automation and automation analytics, RPA can help transform the nature of work, adopting the model of a Digital Workforce for organizations.

For whom it is and its difficulty, benefits of the specialization

Experienced and novice users and developers of RPA will all benefit from completing this Specialization.

During the track, you will learn to design a project plan for RPA implementation, deploy cognitive bots and monitor their performance via the IQ Bot portal, develop & test bots in AAE Client and deploy & monitor them via the Web Control Room, generate operational analytics on AAE Client and business analytics on Bot Insight.

Brief content of the specialization

The specialization consists of 4 courses:

RPA Lifecycle: Introduction, Discovery and Design.
RPA Lifecycle: Development and Testing.
RPA Lifecycle: Deployment and Maintenance.
Cognitive Solutions and RPA Analytics.

Duration of the specialization

The course should take approximately 1 month at 10 hours a week to complete.

Robotic Process Automation (RPA) Specialization

What the specialization is about

The Robotic Process Automation (RPA) specialization offers comprehensive knowledge and professional-level skills focused on developing and deploying software robots.

For whom it is and its difficulty, benefits of the specialization

This is a beginner-level specialization, however, it is recommended to have basic programming skills.

After specialization completion, you will have learned the basic concepts of Robotic Process Automation, how to independently design and create automation for business processes, and UiPath Platform configurations.

Brief content of the specialization

The specialization consists of 6 courses:

RPA Basics and Introduction to UiPath.
Data Manipulation in RPA.
UI Automation and Selectors.
Control Flow in RPA.
Automation Techniques in RPA.
UiPath Orchestrator and Capstone Projects

Duration of the specialization

The course should take approximately 1 month at 10 hours per week to complete.

Automation for Business

What the specialization is about

Automation for Business is a short course that gives theoretical knowledge and skills to harness the transformative power of automation in today’s business environment.

For whom it is and its difficulty, benefits of the specialization

While no prior automation experience is required, a general understanding of business operations and technology concepts will be beneficial.

Brief content of the specialization

In the course, you will learn fundamental automation concepts and terminologies, how to Analyze automation opportunities and strategies for implementation, Comprehend the benefits, challenges, and tools of business automation, and evaluate the impact of automation on business operations and the future of work.

Duration of the specialization

The course should take approximately 4 hours to complete.

Big data and big data analysis

Big Data Specialization

What the specialization is about

The Big Data Specialization track developed by UC SanDiego is a 6-course series that will teach you from basics about Big Data and Big Data tools. The data amount generated every day is immense and to manage huge amounts of data, typical data analysis tools fall short. Big data tools provide frameworks and methods to deal with large amounts of data and to get the best out of it.

For whom it is and its difficulty, benefits of the specialization

This track is for beginners who want to build an understanding of Big Data and Big data tools.

After completion of the track, you will know the basics of different tools of Big Data such as Apache Spark, Apache Hive, Apache Pig, and frameworks such as Hadoop MapReduce. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets.

Brief content of the specialization

The Specialization is divided into 6 courses:

Introduction to Big Data.
Big Data Modeling and Management Systems.
Big Data Integration and Processing.
Machine Learning with Big Data.
Graph Analytics for Big Data.
Big Data – Capstone Project.

Duration of the specialization

It is estimated to take 3 months at 10 hours per week to complete this specialization.

Modern Big Data Analysis with SQL Specialization

What the specialization is about

Modern Big Data Analysis with SQL Specialization track is designed to show participants how to create modern distributed SQL engines for big data storage, as traditional relational databases fail to store large volumes of data. The track provides both theoretical and practical learning opportunities.

For whom it is and its difficulty, benefits of the specialization

The course is for beginners with no prior experience as well as for those who know SQL traditional relational databases but also want to gain skills for Big Data analysis. The track is for those who want to obtain skills in Big Data management with modern distributed SQL engines such as Apache Hive, Apache Impala, Apache Drill and Presto.

Brief content of the specialization

The Specialization is divided into 3 courses:

Foundations for Big Data Analysis with SQL.
Analysing Big Data with SQL.
Managing Big Data in Clusters and Cloud Storage.

Duration of the specialization

It is estimated to take 1 month at 10 hours per week to complete this specialization.

Software Architecture for Big Data Specialization

What the specialization is about

Software Architecture for Big Data Specialization track is an advanced level track for software engineers interested in the principles of building and architecting large software systems that use big data. The course series covers software architecture, transforming big data prototypes into tested production software, and building a production-ready distributed system. The instructors share their experiences to guide students throughout the courses.

For whom it is and its difficulty, benefits of the specialization

The course is an advanced level course and requires experience in software engineering or big data.

After completing the track, you will be able to test the first development of architecture, refactoring, continuous integration, and continuous delivery, create a performant, scalable distributed system that handles big data, and architect and create a big data or distributed system using rest collaboration, event collaboration, and batch processing.

Brief content of the specialization

The Specialization is divided into 3 courses:

Fundamentals of Software Architecture for Big Data.
Software Architecture Patterns for Big Data.
Applications of Software Architecture for Big Data.

Duration of the specialization

It is estimated to take 2 months at 10 hours per week to complete this specialization.

Online marketing tools

Digital Marketing Specialization

What the specialization is about

The Digital Marketing Specialization track developed by the University of Illinois is designed to give participants fundamental knowledge about digital marketing and an overview of the latest digital marketing skills.

For whom it is and its difficulty, benefits of the specialization

This track is for those who have no experience in digital marketing and are keen on learning about digital marketing analytics, search engine optimization, social media marketing, and 3D Printing.

Upon finishing the Digital Marketing Specialization, you will gain a better comprehension of the fundamental principles of the modern digital marketing industry. You will also obtain a fresh batch of stories, concepts, and tools that will allow you to create, distribute, promote, and price products and services digitally.

Brief content of the specialization

The track is divided into 7 courses:

The Digital Marketing Revolution.
Marketing in a Digital World.
Digital Marketing Analytics in Theory.
Digital Marketing Analytics in Practice.
Digital Media and Marketing Principles.
Digital Media and Marketing Strategies.
Digital Marketing Capstone.

Duration of the specialization

It is estimated to take 4 months at 10 hours per week to complete this specialization.

Search Engine Optimization (SEO) Specialization

What the specialization is about

Search Engine Optimization (SEO) Specialization track by the University of California, Davis, offers to equip individuals with knowledge in search engines to improve company or product visibility on Google search and other search engines. The theoretical content provides information from fundamental concepts to advanced frameworks and tactics that can be used for achieving great product or service placement on search engines.

For whom it is and its difficulty, benefits of the specialization

This track is designed for beginners with little to no knowledge of search engines and their optimization, however, it is recommended to have some business experience.

After course completion you will be able to:

Perform a competitive analysis on a webpage,
Create influencer relationships and collaborations and analyse data to see which content gets the most shares,
Develop a solid approach for achieving a productive and successful relationship with your client,
Create a final report of your findings and recommendations for SEO and present your recommendations to your client.

Brief content of the specialization

The track is divided into 5 courses:

Introduction to Google SEO.
Google SEO Fundamentals.
Optimizing a Website for Google Search.
Advanced Content and Social Tactics to Optimize SEO.
Google SEO Capstone Project.

Duration of the specialization

It is estimated to take 3 months at 10 hours per week to complete this specialization.

Introduction to Social Media Marketing

What the specialization is about

Introduction to Social Media Marketing developed by Meta, owner of Facebook, Instagram, and WhatsApp, has developed a short course for individuals planning on using one of the social media platforms for promotion of products and services. This course is part of the Meta Social Media Marketing Professional Certificate.

For whom it is and its difficulty, benefits of the specialization

The course is for individuals with no experience in social media or digital marketing.

After course completion, you will be able to:

Understand the landscape of traditional, digital, and social media marketing,
Create SMART goals, identify KPIs, and define your target audience and their customer journey,
Understand how major social media platforms work,
Choose the right social media platforms for your needs.

Brief content of the specialization

The course is divided into 5 modules:

The Social Media Landscape,
Social Media Platforms Overview,
Goals and Planning for success,
Understand Your Audience,
Choose Your Social Media Channels.

Duration of the specialization

It is estimated to take 17 hours to complete this course.

Web Development

Web Design for Everybody: Basics of Web Development & Coding Specialization

What the specialization is about

Web Design for Everybody: Basics of Web Development & Coding Specialization developed by the University of Michigan is a great starting point for those who want to build and design their website. In this track, you will learn to use tools such as JavaScript, Cascading Style Sheets (CSS), and HTML5 for website creation.

For whom it is and its difficulty, benefits of the specialization

The specialization does not require prior knowledge of any of the tools used for WEB development and designing.

After completion of the track you will have basic knowledge in CSS, JavaScript and HTML5, and you will be able to write syntactically correct HTML and CSS code for websites, add interactive experience by using JavaScript, Use the Document Object Model (DOM) to modify pages, Apply a responsive design to enable the page to be viewed by various devices.

Brief content of the specialization

The track is divided into 5 courses:

Introduction to HTML5.
Introduction to CSS3.
Interactivity with JavaScript.
Advanced Styling with Responsive Design.
Web Design for Everybody Capstone.

Duration of the specialization

It is estimated to take 2 months at 10 hours a week to complete this course.

Meta Front-End Developer Professional Certificate

What the specialization is about

Meta Front-End Developer Professional Certificate is designed by software engineers at Meta, responsible for Facebook and Instagram website and mobile app design and user interface (UI). The combination of theoretical lectures and practical learning projects provides a valuable learning opportunity for everyone who wants to master developing and designing websites that people will interact with.

For whom it is and its difficulty, benefits of the specialization

The specialization does not require prior knowledge of Front-End Developer programming.

In this professional certificate track you will learn to:

Create a responsive website using HTML to structure content.
Use CSS to handle visual style.
Use JavaScript to develop interactive experiences.
Use React in relation to Javascript libraries and frameworks.
Bootstrap CSS Framework to create webpages and work with GitHub repositories and version control.

Brief content of the specialization

The track is divided into 9 courses:

Introduction to Front-End Development.
Programming with JavaScript.
Version Control.
HTML and CSS in depth.
React Basics.
Advanced React.
Principles of UX/UI Design.
Front-End Developer Capstone.
Coding Interview Preparation.

Duration of the specialization

It is estimated to take 7 months at 6 hours a week to complete this course.

Meta Back-End Developer Professional Certificate

What the specialization is about

Participants of the Meta Back-End Developer Professional Certificate learn to develop, maintain, and manage servers and databases while ensuring secure processes for webpages and mobile applications. This comprehensive learning opportunity utilises theoretical learning practices with practical tasks after each course.

For whom it is and its difficulty, benefits of the specialization

The specialization does not require prior knowledge of Back-End Developer programming.

In this professional certificate track, you will learn to use programming systems including Python Syntax, Linux commands, Git, SQL, Version Control, Cloud Hosting, APIs, JSON, XML and more.

Brief content of the specialization

The track is divided into 9 courses:

Introduction to Back-End Development.
Programming in Python.
Version Control.
Introduction to Databases for Back-End Development.
Django Web Framework.
The Full Stack.
Back-End Developer Capstone.
Coding Interview Preparation.

Duration of the specialization

It is estimated to take 8 months at 6 hours a week to complete this course.

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