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Agentic AI archive
A structured path from what an agent is to running one in production. 19 modules covering architecture, planning, tools, memory, multi-agent systems, evaluation, deployment and safety, with interview revision at the end.
19 modules162 sections54 diagrams
Curriculum structure
FoundationsWhat agents are and how they are built
Core mechanicsFrameworks, planning, tools and memory
Systems in practiceMulti-agent builds, projects and running them safely
Going furtherAdvanced topics, patterns and the wider landscape
13Advanced Topics and Future Trends in Agentic AI9 sections14Agentic AI Design Patterns and Architectures9 sections15Evaluation and Benchmarking in Agentic AI10 sections16Tools and Frameworks for Agentic AI8 sections17Deployment and Scalability of Agentic AI9 sections18Challenges, Limitations and Future of Agentic AI9 sections
RevisionInterview prep and final checklist
Topic threads
Evaluation
Two passes on the same topic: metrics first, then benchmarking pipelines.
Deployment & operations
MLOps lifecycle in one module, scaling and CI/CD in the other.
Frameworks
Comparison table and selection guide, then a tour of each tool.
Planning & reasoning
Techniques, planning workflows and the patterns that package them.
Memory
Memory types and architecture, revisited with a memory manager.
Multi-agent systems
Agent types, team architectures and collaboration patterns.
Safety & limits
Threats and controls, then open challenges and limitations.