AI MeOut

E-LEARNING

Courses

Free, self-paced courses on the fundamentals of AI. No registration required — just start learning.

7 courses35 modulesFree

Course 1

History of AI

Trace the story of artificial intelligence from Turing and the 1956 Dartmouth Conference through the AI winter to today's breakthroughs.

5 modules3h 54m
  1. IBackground and first steps
  2. IIThe second age of AI: Abstract Theories and Symbolic AI (1960-1970)
  3. IIIThe Decline of Artificial Intelligence (1980s - 1990s)
  4. IVDigital revolution – new generation AI (2000s)
  5. VThe last decade, history of AI since 2013
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Course 2

AI Terminology

Build a solid vocabulary for AI: data, algorithms, machine learning, deep learning, natural language processing and computer vision.

5 modules4h 20m
  1. IIntroduction to AI Terminology
  2. IIData and Algorithms
  3. IIIMachine Learning and Deep Learning
  4. IVNatural Language Processing (NLP)
  5. VComputer Vision and Image Processing
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Course 3

The AI Revolution: Trends and Tools

Explore the tools and trends driving the current AI revolution — robotics, human-AI collaboration, creative industries and deployment.

5 modules6h 29m
  1. IIntroduction to the AI Revolution
  2. IIAI in Robotics
  3. IIIAI and Human-AI Collaboration
  4. IVAI in Creative Industries
  5. VAI Deployment and Future Trends
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Course 4

AI in different industries

See how AI is applied across sectors: education, finance, healthcare, manufacturing and transportation.

5 modules4h 44m
  1. IAI in Education
  2. IIAI in finances
  3. IIIAI in Healthcare
  4. IVAI in Manufacturing
  5. VAi in transportation
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Course 5

AI ethics

Examine the ethics of AI: fairness, accountability, privacy, security, ethical decision-making and where the field is heading.

5 modules5h
  1. IEthics in AI Development
  2. IIFairness and Accountability
  3. IIIPrivacy and Security
  4. IVEthical Decision-Making
  5. VFuture Trends in AI Ethics
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Course 6

Transversal skills for AI

Develop the transversal skills AI work demands: problem solving, data analysis, communication, coding and project management.

5 modules4h 33m
  1. IProblem Solving
  2. IIData Analysis
  3. IIICommunication and Collaboration
  4. IVCoding and Development
  5. VProject Management
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Course 7

Green and inclusive AI

Understand sustainable and inclusive AI: green practices, accessibility, policy, regulation and real-world best practices.

5 modules3h 51m
  1. ISustainable AI
  2. IIInclusive AI
  3. IIIEthical Considerations
  4. IVAI Policy and Regulation
  5. VCase Studies and Best Practices
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