1The Rise of Agentic AI: Why This Book Matters Now
34Use Case: Personalized Coaching Agent
2What Is Agentic AI?
35Chapter 7
3Who Is This Book For (and What You’ll Learn)?
36Prompt Engineering for Agents
4The Building Blocks of Smart AI Agents
37Mastering Few-shot and Zero-shot Prompts
5Chapter 1
38Controlling Agent Behavior
6Foundations of Agentic AI and LLM Workflows
39Use Case: Legal Document Analyzer
7Understanding Large Language Models (LLMs)
40Chapter 8
8LangChain as the Orchestrator
41Human‑in‑the‑Loop and Safety Protocols
9Agent Architectures Explained
42When to Involve a Human
10Chapter 2
43Guardrails and Ethical AI
11Python as the Agent's Backbone
44Auditability and Logs
12Python for AI Development
45Chapter 9:
13Creating LLM Wrappers
46Real-Time Agents and Async Workflows
14Hands-On: Your First LangChain Script
47Async Programming in Python for AI
15Chapter 3
48Streaming Outputs and Real-Time UX
16Agents and Tools—Beyond Prompts
49Use Case: Live Data Monitoring Agent
17LangChain Agents 101
50Chapter 10
18Integrating Tools and APIs
51Deploying and Scaling Agentic Systems
19Building a Task-Oriented Agent
52From Notebook to Production
20Chapter 4
53Cost Optimization and Token Management
21Retrieval-Augmented Generation (RAG) Demystified
54Scaling Architectures
22Why RAG? Overcoming LLM Memory Limits
55Chapter 11
23Chunking, Embeddings, and Vector Databases
56Monetizing Agentic AI Applications
24Build a RAG-Powered Knowledge Bot
57AI for Business Automation
25Chapter 5
58Ethical Monetization and AI Alignment
26Multi-Agent Systems and Collaboration
59Chapter 12
27Designing Multi-Agent Architectures
60The Future of Agentic AI What’s Next?
28Agent Roles and Responsibilities
61Emerging Trends in AI Agents
29Use Case: Automated Research Assistant
62The Role of Open Source and Community
30Chapter 6
63Your Journey Forward
31Memory and Long-Term Context in Agents
64Conclusion
32Types of Memory in LangChain
65Build Smart, Build Ethically, Build Now: The Democratization of Agentic AI
33Storing and Retrieving Persistent Context
