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Agentic AI

Agents that plan, remember, use tools, and act

36 chapters across 9 modules
1

Foundations of Agentic AI

4 chapters

1

From Traditional AI to Agentic AI

6 min read

2

What Makes a System Agentic

7 min read

3

Classical Agent Types, Reframed

7 min read

4

Anatomy of an Agent

6 min read

2

The Reasoning Core

4 chapters

1

The LLM as a Reasoning Engine

7 min read

2

Prompting Patterns for Agents

8 min read

3

Tool Design

8 min read

4

The Model Context Protocol

8 min read

3

Agent Memory

3 chapters

1

Why Agents Need Memory

7 min read

2

Short-Term Memory

8 min read

3

Long-Term Memory

9 min read

4

Planning and Self Correction

4 chapters

1

Task Decomposition

7 min read

2

Planning Patterns

7 min read

3

Reflection & Self-Correction

8 min read

4

When Planning Fails

8 min read

5

Agent Frameworks

5 chapters

1

Why Use a Framework

6 min read

2

LangChain

7 min read

3

LangGraph

6 min read

4

AutoGen & CrewAI

7 min read

5

Choosing a Framework

7 min read

6

Workflows and Multi Agent Systems

5 chapters

1

Workflow Patterns

7 min read

2

State, Checkpointing & Durability

7 min read

3

Multi-Agent Architectures

6 min read

4

Agent Communication

7 min read

5

Multi-Agent Failure Modes

7 min read

7

Evaluating and Operating Agents

4 chapters

1

Evaluating Agents

7 min read

2

Building an Agent Eval Set

7 min read

3

Observability and Tracing

7 min read

4

Debugging and Error Recovery

8 min read

8

Safety Control and Governance

4 chapters

1

Agentic Risks & Failure Modes

8 min read

2

Human-in-the-Loop

8 min read

3

Control and Containment

7 min read

4

Governance and Trust

7 min read

9

Capstone and Beyond

3 chapters

1

Designing the System

7 min read

2

Building the Agent

8 min read

3

Where to Go Next

6 min read