Free educational & training resources on Artificial Intelligence, Deep Learning, Machine Learning, Python, R, Big Data…
This list is being prepared by Dr. Piyush Mathur. It will be updated off and on.
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(Last updated: January 1, 2026)
AI Policy Tracker (Prepared by Raymond Sun): https://www.techieray.com/GlobalAIRegulationTracker
AI And Machine Learning Full Course |Simplilearn (URL: https://www.youtube.com/watch?v=wnqkfpCpK1g)
AI Development Full Course For Beginners: (URL: https://www.youtube.com/watch?v=5yBTxOpT4PE)
Cheatsheet pdf (1 MB) (Advanced) for ML, DL, AI (Standford University & MIT, USA)
Fieldfisher ‘How to leverage DPIAs for AI risk assessments?’
https://www.youtube.com/watch?v=R_8WBHQuNA8
Generative AI Essentials (22 hours+): https://www.youtube.com/watch?v=nJ25yl34Uqw
Generative AI for Everyone (3-module course by Andrew Ng): https://www.coursera.org/learn/generative-ai-for-everyone
Large Language Models (8 mins, appr): https://www.youtube.com/watch?v=LPZh9BOjkQs
Markov Chain (10:36 mins)
https://www.youtube.com/watch?v=XS4YIvVbZt8
Neural network: (1) (37+ mins) https://www.youtube.com/watch?v=1aM1KYvl4Dw
(2) (18:39 mins): https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
GitHub AI resources: https://github.com/resources/articles/ai
(Draw datasets from within Jupyter: https://github.com/koaning/drawdata)
Learn2Earn (only for Nigeria residents): https://learn2earn.ng/
Python (full YouTube course) (BroCode)
Python Libraries for AI Engineering: This YouTube video, by Dave Ebbelaar, stresses the importance of the following libraries and explains how to use them:
Pydantic; Pydantic-settings; Python-dotenv; FastAPI; Celery; Psycopg; Pymongo; SQLAlchemy; Alembic; Pandas; Instructor; LangChain; LlamaIndex; Pinecone; Weaviate; Quadrant; Pgvector; Langfuse; LangSmith; Dspy; PyMuPDF ; Py2PDF; Jinja
R Programming tutorial: Basics of statistical computing (freeCodeCamp.org)
SAS ‘Responsible Innovation and Trustworthy AI’: https://www.coursera.org/learn/responsible-innovation-and-trustworthy-ai
Statistical Computing (Barton Paulson’s R Programming Tutorial: Basics): https://www.youtube.com/watch?v=_V8eKsto3Ug
AI Applications and Prompt Engineering: This is an introductory course from edX on prompt engineering; however, it takes you further than the basics—in that you can create your own applications as you go into this course. (URL: https://www.edx.org/learn/computer-programming/edx-ai-applications-and-prompt-engineering)
AI Singapore courses: https://learn.aisingapore.org/
AKITRA-NIST AI Risk Management Framework: https://akitra.com/courses/nist-ai-rmf-course/
All Tech is Human (ATiH) launched its free set of 5 courses on ‘Responsible AI’ on October 22, 2025; the team behind this—led by Rebekah Tweed— includes the following individuals: Renée Cummings, Heidi Hysell, and Savannah Thais. The courses have the following titles: 1. ‘Principles of Responsible AI: Identifying, Understanding, and Mitigating Risks’ 2. ‘The History of Responsible AI: From Principles to Professionalization’ 3. ‘Operationalizing AI Governance: Strategy & Foundations’ 4. ‘Operationalizing AI Governance: Execution & Scaling Governing Agentic AI Systems’ 5. ‘Responsible AI Course 5: Governing Agentic AI Systems’
Learn about these courses and the team by clicking this link: https://alltechishuman.org/rai-courses
Enroll for the courses via this link: https://sso.teachable.com/secure/2623847/identity/sign_up/otp
Amazon: ‘Security, Compliance, and Governance for AI Solutions’, https://www.coursera.org/learn/security-compliance-and-governance-for-ai-solutions
Anthropic Academy courses: https://www.anthropic.com/learn
Big Data, Artificial Intelligence, and Ethics: This is Martin Hilbert’s 4-module course via the University of California-Davis. You can join it freely; the certification may require a fee. To take a Coursera course without the trial, go to the course you want to take and click 'Enroll for free', and then 'Audit the course'. You'll need to create an account to take courses, but won't need to pay anything. (URL: https://www.coursera.org/learn/big-data-ai-ethics)
Brynjolfsson, Erik:
‘The AI Awakening: Implications for the Economy and Society’: https://www.coursera.org/learn/ai-awakening
ChatGPT Prompt Engineering for Developers: This is a one-hour-and-30-minute-long course offered by Isa Fulford and Andrew Ng. (URL: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
The CommLaw Group ‘AI Governance, Risk & Compliance: Fundamentals Masterclass’: https://www.youtube.com/watch?v=tZHr6fP5Pb0
Google AI Courses (URL: https://www.cloudskillsboost.google/paths/118)
‘Beginner: Introduction to Generative AI Courses’
‘Introduction to Generative AI’
‘Introduction to Large Language Models’
‘Introduction to Responsible AI’
‘Prompt Design in Vertex AI’
‘Responsible AI: Applying AI Principles with Google Cloud’
Holweg, Matthias. AI Governance (part of AI Foundations for Business Professionals Specialization): https://www.coursera.org/learn/ai-governance
Hosanagar, Kartik; Lynn Wu and Kevin Werbach:
https://www.coursera.org/learn/wharton-ai-strategy-governance
IBM Technology ‘AI Governance explained’: https://www.youtube.com/playlist?list=PLOspHqNVtKABEKVgWGrf6_x6OQYnYnCiM
Johns Hopkins University:
‘AI for Cybersecurity Specialization’:
https://www.coursera.org/specializations/ai-for-cybersecurity
‘Trustworthy AI: Managing Bias, Ethics, and Accountability’:
https://www.coursera.org/learn/responsible-ai-and-ethics
Microsoft AI Course: This page provides links to quite an archive of other links to all sorts of courses, resources offered by Microsoft for free. (URL: https://microsoft.github.io/AI-For-Beginners/)
Nvidia’s AI courses: AI for All: From Basics to GenAI Practice (Free; 2.5 hours); Six paid certifications
Robust Intelligence/CISCO ‘Best Practices for Generative AI Risk Management and Prevention’:
https://www.youtube.com/watch?v=DcrBASzCWTU
University of Helsinki, ‘Ethics of AI’: https://ethics-of-ai.mooc.fi/
Artificial Intelligence: Fundamentals, Challenges and Progresses (Tsinghua Open Courses): (URL: https://www.youtube.com/watch?v=tgLsa1Rwqn8)
Introduction to AI with Python (Harvard University): This is a full 7-week course—containing theoretical and practical components—intended to help one explore the concepts and algorithms of AI via Python. (To get a certificate, try this URL: https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python)
The LINUX Foundation ‘Conversational AI: Ensuring Compliance and Mitigating Risks’: https://training.linuxfoundation.org/training/conversational-ai-ensuring-compliance-and-mitigating-risks-lfs120/
Vanderbilt University: Generative AI Cybersecurity & Privacy for Leaders Specialization (Dr. Jules White): https://www.coursera.org/specializations/generative-ai-cybersecurity-leaders
LLMOps: Google Cloud & DeepLearning offer this free course taught by Erwin Huizenga. This is the first sentence from the syllabus: ‘In this course, you’ll go through the LLMOps pipeline of pre-processing training data for supervised instruction tuning, and adapt a supervised tuning pipeline to train and deploy a custom LLM.’ (URL: https://www.deeplearning.ai/short-courses/llmops/)