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Table of contents
Chapter 1: Welcome to the OpenAI Ecosystem
1.1 Introduction to OpenAI and Its Capabilities
1.2 Use Cases Across Industries
1.3 The Evolution of OpenAI’s Models
Chapter 1 Summary
Chapter 2: Getting Started as a Developer
2.1 Creating Your OpenAI Account and API Key
2.2 Setting Up Your Environment (Python, Node.js, Postman, Curl)
2.3 API Documentation Tour
2.4 Managing Your API Keys Securely
Practical Exercises Chapter 2
Chapter 3: Understanding and Comparing OpenAI Models
3.1 GPT-3.5, GPT-4, GPT-4 Turbo, GPT-4o, and GPT 4.5
3.2 Lightweight Models — o3-mini, o3-mini-high, gpt-4o-mini, and More
3.3 Model Capabilities and Limitations
3.4 Performance, Pricing, Token Limits
Practical Exercises — Chapter 3
Quiz Part I
Questions
Answers
Chapter 4: The Chat Completions API
4.1 Roles: System, User, and Assistant
4.2 Structure of API Calls
4.3 Using max_tokens, stop, and Streaming Outputs
Practical Exercises — Chapter 4
Chapter 4 Summary
Chapter 5: Prompt Engineering and System Instructions
5.1 Crafting Effective Prompts
5.2 Using System Messages Strategically
5.3 Prompt Templates: Coding, Productivity, Customer Support
5.4 Few-shot, Zero-shot, and Chain-of-Thought Prompting
Practical Exercises — Chapter 5
Chapter 6: Function Calling and Tool Use
6.1 Introduction to Function Calling
6.2 Defining Functions and Parameters
6.3 Tool Use and API Chaining
6.4 Introduction to Retrieval-Augmented Generation (RAG)
6.5 Responses API Overview
Chapter 7: Memory and Multi-Turn Conversations
7.1 Short-Term vs Long-Term Memory
7.2 Thread Management and Context Windows
7.3 Storing and Retrieving Past Interactions
7.4 Context Limit Workarounds
7.5 Comparing Chat Completions vs Assistants API
Quiz Part II
Questions
Answers
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