Building Intelligent AI Agents by Pearson

Course details

What is this course about?
In this course, instructor Bruce Hopkins shows you how to get started building intelligent AI agents. Find out how AI agents can unlock the next generation of experiences for AI-based applications for your customers, users, and employees. Learn about the types of problems that AI agents can help you solve compared to traditional use cases for ChatGPT and other LLMs. Along the way, Bruce demonstrates how to create multiple types of AI agents: a travel website agent, a customer service agent, a CSV data file access agent, and a smart home agent. This course is designed uniquely for software developers, product managers, software architects, technical program managers, engineers, and CTOs.

Objectives
What will I be able to do by the end of this course?
Create AI agents with the ChatGPT APIs from scratch.
Implement security best practices for prompts and responses.
Build multiple AI agents: a travel website agent, a customer service agent, a CSV data file access agent, and a smart home agent.

Audience
Who is this course for?
Software developers
Product managers
Software architects
Technical program managers
Engineers and CTOs
Individuals interested in advancing their understanding of AI agent technology

Concepts

Introduction

Getting started with AI agents

Understand the Problems That AI Agents Can Solve

Learning objectives
Reshape how businesses operate with ChatGPT
Learn the domains of information
Understand why we need AI agents

Create the Basics of Your First AI Agent

Learning objectives
Build an intelligent travel website
Learn the basic terms and terminology
Focus on three terms for now - Models, tokens, and temperature
Lab - Use the OpenAI Playground
Learn the four types of messages
Build another app - Ecommerce website customer service
Lab - Send prompts via HTTP REST APIs

Enhance Your Application with the Assistants API

Learning objectives
Get started working with the Assistants API
Learn more terminology - AI assistant, threads, runs
Lab - Use the Assistants API with the travel website
Lab - Use the Assistants API with the customer service widget

Get Familiar with Multiagent Architectures

Learning objectives
Learn more terminology
Learn how to use tools
Recap - Three domains of information
Understand why we need AI agents

Create an AI Agent for File Searching

Learning objectives
Get started with the Files API
Modify our AI agent to access a file
Learn about file search
Learn about Code Interpreter
Update our customer support AI agent
Lab - Build an AI agent with custom data access via CSV

Create Multi-AI Agent Systems with Function Calling

Learning objectives
Get familiar with dynamic functions and methods
Implement a dynamic function call in Python
Implement a dynamic function call in Java
Implement a dynamic function call in Node.js
Recap - A quick reminder about tools
Learn about function calling - A three-person conversation
Lab - Smart home agent

Security Best Practices for AI Agents

Learning objectives
Learn why you should log messages
Get to know the industries with rules on data preservation
Learn the prompt needed to sterilize sensitive data
Lab - Sterilizing sensitive data

Course Wrap-Up and Developer Opportunities

Learning objectives
Recap - Key takeaways from this course
Talk about the elephant in the room
Learn the benefits of natural language interfaces

Conclusion

Summary and next steps