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Series 1 of 21
AI Foundations
Where modern AI came from β from neural networks to LLMs. The architectures behind every AI agent today.
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Series 2 of 21
Agent Architectures
How AI agents actually think. ReAct, CoT, Tree of Thoughts, Reflexion and Multi-Agent patterns.
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Series 3 of 21
Core Agent Systems
What an AI agent really is β building blocks, memory, reasoning, multi-agent, and a hands-on capstone.
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Series 4 of 21
MCP & Agent Protocols
Design patterns, transports, auth, distribution, and the new agent-to-agent standards.
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Series 5 of 21
Agent Infra: Run & Scale
Where AI agents actually run β local, cloud, edge. Frameworks, orchestration, durability.
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Series 6 of 21
AgenticOps in Production
Sandboxing, cost management, failure recovery β the parts of running agents nobody warns you about.
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Series 7 of 21
Quality & Operations
Accuracy, reliability, evals, observability, debugging traces, and regression testing.
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Series 8 of 21
Identity, Trust & Governance
Identity, trust, consent, governance, and how agents will be discovered and held accountable.
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Series 9 of 21
Agent Security & Privacy
Threat modelling, privacy, supply chain, new attack surfaces β end-to-end secure agents.
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Series 10 of 21
Agentic Economy & UX
Humanβagent collaboration, UX trust signals, commerce, pricing, and real case studies.
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Series 11 of 21
The Agentic Future
Where this is heading β autonomous societies, long-horizon autonomy, open questions, what to learn next.
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Series 12 of 21
Agentic Engineering
Harnesses, context engineering, tool interoperability, orchestration patterns and AI-native CI/CD.
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Series 13 of 21
Team & Management
Team structures, empowering engineers, managing tool sprawl, code review with AI, agentic education.
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Series 14 of 21
Engineering the Agent Bill
A practitioner mini-course on cutting LLM cost, surviving rate limits, and keeping AI agents lean.
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