The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

Introduction

Modern Automated AI Agents: Introduction

Lesson 1: Introduction to AI Agents

Topics
1.1 Overview of AI Agents and Their Applications
1.2 Leading AI Agent Frameworks
1.3 First Steps with Agents with CrewAI
1.4 Designing Multi-Step Workflows with LangGraph

Lesson 2: Under the Hood of AI Agents

Topics
2.1 Understanding Large Language Models (LLMs)
2.2 Introduction to Tool Integration
2.3 Key Agent Components: Thought, Action, Observation, Response

Lesson 3: Building an AI Agent

Topics
3.1 Building Custom Tools
3.2 Building Our Agent Prompt
3.3 Using Our Agent

Lesson 4: Testing and Evaluating Agents

Topics
4.1 How to Evaluate Agents
4.2 Evaluating Tool Selection and Use
4.3 Assessing the Quality of Agent Responses
4.4 Evaluating Agent Backstories, Task Definitions, and Rules

Lesson 5: Expanding on ReAct with Planning and Reflection

Topics
5.1 Why Agents Fail
5.2 Plan and Execute Agents
5.3 Reflection Agents

Lesson 6: Advanced Applications and Future Directions

Topics
6.1 Exploring Additional Tools and APIs
6.2 Future Trends in AI Agents

Summary

Modern Automated AI Agents: Summary
More Info