Free Lectures on YouTube
Complete courses on AI Agents, AGI, AI for Finance, and AI for Good — freely available to every learner on the planet.
Foundations of Artificial Intelligence Agents
A graduate-level lecture series that traces the full arc of modern artificial intelligence — from the foundational mechanics of large language models to the frontier questions of AGI, reasoning, planning, and embodied robotics. The course is designed for researchers, practitioners, and advanced students who want both theoretical grounding and practical understanding of where AI stands today and where it is heading.
The series is delivered as recorded public lectures, most running between 50 and 65 minutes, with occasional lightning talks for focused topics. The lectures draw directly from the Foundations of Artificial Intelligence Agents books, making the course a living companion to the published work.
13 modules, from LLMs to AGI
Large Language Models as Research Tools
Grounds students in what LLMs actually are and what they can do, anchored in real scientific use cases across bioinformatics, chemistry, physics, and the social sciences — and honest about their limitations.
Evaluating Intelligence: How Do We Know When AI Is Smart?
Introduces the evaluation ecosystem — benchmarks, the Turing Test, and proposed successor tests for measuring AGI-level performance.
AI’s Real-World Impact: Nobel Prizes and Beyond
Uses the landmark 2024 Nobel Prizes in Physics and Chemistry to show that AI is no longer just a tool for science but a driver of scientific discovery.
The Reasoning Problem
- ▶ Can LLM Models Reason?57 min
LLMs appear to reason, but do they? Examines MMLU, CommonsenseQA, and the AI2 Reasoning Challenge, and the real power and limits of Chain-of-Thought.
The Planning Problem
- ▶ Can LLM Models Plan?61 min
A related but distinct question: can LLMs break down goals and sequence actions toward them?
Reinforcement Learning and the Emergence of Reasoning Models
- ▶ A Deep Dive Into DeepSeek66 min
- ▶ Five Lessons from DeepSeek6 min
- ▶ Reinforcement Learning in Reasoning Models58 min
The methodological heart of the course: DeepSeek-R1, five transferable lessons from its success, and how RL evolved from value optimization to the centre of frontier reasoning models.
Scaling: How Size, Data, and Compute Shape Intelligence
- ▶ AI Scaling Laws50 min
Classical pre-training scaling laws and the frontier concept of test-time scaling — allocating more compute during inference rather than training.
AI Creativity and Scientific Discovery
Not whether AI can assist scientists, but whether it can be one — and whether current systems are truly creative or sophisticated recombination engines.
Deep Research: AI as Knowledge Worker
AI that autonomously conducts extended, multi-step research tasks: current offerings, evaluation benchmarks, potential and limitations.
AI-Assisted Coding and Vibe Coding
Coding models, their training and benchmarks, and what directing AI through natural-language intent means for software engineering as a profession.
Embodied Intelligence: Robotics and Vision-Language-Action Models
The course’s most-watched lecture: from hand-coded robot behaviours to VLA models that unite perception, language, and physical action.
The AGI Question Revisited
Drawing on Hinton, Bengio, LeCun, Fei-Fei Li, and Sutton: competing definitions of AGI, the major architectural approaches, and what remains genuinely unsolved.
Neuro-Symbolic AI: Bridging Pattern and Logic
- ▶ Neuro-Symbolic AI59 min
Systems that combine the pattern recognition of deep learning with the logical rigour of symbolic AI — perhaps the most promising path to robust, interpretable intelligence.
Latest lectures
World Models for AI
Continual Learning in AI
Self-evolving AI Agents
Agent Orchestration Frameworks
AI for Good Summer Lectures
A lecture series on how artificial intelligence can help meet the United Nations Sustainable Development Goals — a companion to The AI for Good Handbook.
AI for Good Summer Lectures, Lecture 1: Poverty
AI for Good Summer Lectures, Lecture 2: Hunger
AI for Good Summer Lectures, Lecture 3: Cities and Communities
AI for Good Summer Lectures, Lecture 4: Energy
AI for Good Summer Lectures, Lecture 5: Nature
Finance, projects & the manifesto
AI and Sustainable Investing
The AI Project Handbook: How to manage a successful artificial intelligence project
The AI Agile Manifesto
The AI Fables
Aesop’s fables retold for the age of artificial intelligence.
The Robot Goose and the Golden Code
The Robots Asking for a King
The AI and the Programmer
Minh Trinh’s Artificial Intelligence
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