Understanding AI, from first principles.
Agentic AI: Foundations to Advanced Implementations develops a coherent understanding of artificial intelligence—from its historical and mathematical foundations to modern language models and agentic systems.
The emphasis is on understanding the ideas, architectures and developments that made modern AI possible. We connect how systems work with why they were developed, and where their limitations lie.
Follow the ideas. Connect the dots.
A planned progression from early questions about intelligence to the systems being built today. This is the course outline; learning materials will be published progressively.
- 01
Foundations & History of AI
- 02
Intelligent Systems & Agents
- 03
Neural Networks
- 04
Backpropagation & Learning
- 05
Deep Learning
- 06
Attention & Transformers
- 07
Large Language Models
- 08
Generative AI
- 09
Tool Use & Reasoning
- 10
Agentic AI
- 11
Multi-agent Systems
- 12
AI Safety & Controls
Agentic AI: Foundations to Advanced Implementations
The program brings historical context, mathematical intuition and practical examples into a connected learning journey.
Lesson 01 · InteractiveFrom Turing to Agentic AIBegin lesson ↗Lesson 02 · InteractiveArchitectures and Design Principles for Agentic AI SystemsBegin lesson ↗Foundations First
Understand why systems work before focusing on tools.
Connect the History
Modern AI is part of a longer evolution of intelligent systems.
Theory and Practice
Connect mathematical and computational ideas with real systems.
Beyond LLMs
Place language models and agents within the broader history of artificial intelligence.