Free Prompt Engineering Course for Developers

Course Outline

Module 1: Foundations of Prompt Engineering and API Integration

Lesson 1.1: What is Prompt Engineering?

• Definition and importance in AI interactions.
• Role in achieving specific, accurate outputs.
• Overview of ChatGPT API’s capabilities for developers.

Lesson 1.2: Introduction to the OpenAI API

• Setting up an API key and environment (Python or JavaScript).
• Basic API requests: Interacting with ChatGPT via HTTP requests.
• Examples: Sending a basic prompt and reading the response.

Lesson 1.3: Structuring Effective Prompts

• Prompt anatomy: tone, length, and instructions.
• Writing prompts to achieve specific responses.
• Use cases: content generation, question answering.

Module 2: Crafting and Optimizing Prompts for Coding and Technical Tasks

Lesson 2.1: Prompts for Code Generation and Debugging

• Writing prompts for code snippets or functions.
• Refining prompts for complex coding tasks.
• Exercises: Coding prompts for Python, JavaScript functions.

Lesson 2.2: Using ChatGPT for Code Explanation and Documentation

• Prompts for documentation and explanations.
• Examples: Documenting codebase, explaining complex code.
• Exercise: Generate documentation for sample code.

Lesson 2.3: Error Handling in Prompt Engineering

• Interpreting errors and improving prompt clarity.
• Refining and iterating on prompts.
• Case Study: Real-life prompt engineering examples.

Module 3: Practical Applications with APIs and Real-World Integrations

Lesson 3.1: Building a Basic Chatbot using ChatGPT API

• Conversational prompts for chatbots.
• Response chaining for interactive dialogues.
• Project: Customer support bot using the API.

Lesson 3.2: Multi-step Prompts and Complex Interactions

• Multi-turn conversations and context preservation.
• Examples: Summarization with follow-up Q&A.
• Exercise: Summarization tool with key points.

Lesson 3.3: Advanced Prompt Structuring with API Parameters

• Temperature and max token settings.
• Use cases: Long-form content generation, code assistance.
• Project: Customize API parameters for user experience.

Module 4: Evaluating and Improving Prompt Effectiveness

Lesson 4.1: Testing and Evaluating Prompt Output Quality

• Metrics for measuring output quality.
• Practical techniques for prompt evaluation.
• Example: Evaluate the effectiveness of code-related prompts.

Lesson 4.2: Refining Prompts with Feedback Loops

• Implementing user feedback for improved prompts.
• Iterative design and optimization in prompt engineering.
• Case study: Improving the performance of code-generation prompts.

Lesson 4.3: Best Practices for Ongoing Prompt Optimization

• Developing habits for continuous prompt improvement.
• Tools and techniques for prompt monitoring and adjustments.
• Project: Build a prompt optimization checklist.

Module 5: Top Useful Prompts - Boost Coding Efficiency & Debugging

Lesson 5.1: Top 10 Useful Prompts for Developers

• Enhance your coding practices
• Example: Evaluate the effectiveness of code-related prompts.

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