Module 1: Introduction to Prompt Engineering for Developers
- 1.1 Overview of Prompt Engineering
- 1.2 Basics of API Interaction
- 1.3 Understanding Prompt Structures
- 1.4 Case Studies and Best Practices
- 1.5 Hands-on Exercise
Module 2: Advanced Prompt Design and Engineering
- 2.1 Designing Advanced Prompt Techniques
- 2.2 Designing Multi-Turn Interactions
- 2.3 Contextual and Conditional Prompting
- 2.4 Crafting Domain-Specific Prompts
- 2.5 Contextual and Stateful Prompt Engineering
- 2.6 Meta-Prompting and Autonomous Refinement
- 2.7 Hands-on Exercise
Module 3: Experimentation and Optimization
- 3.1 Automated Prompt Optimization Tools
- 3.2 A/B Testing and Evaluation
- 3.3 Reinforcement Learning for Prompt Engineering
Module 4: Designing Advanced Strategies for Prompt Engineering
- 4.1 Contextual and Role-Based Prompting
- 4.2 Adaptive and Multimodal Prompting
Module 5: Integration with Development Tools
- 5.1 Integrating with Popular Development Tools for Prompt
Engineering - 5.2 Code Repositories and Templates for Prompt
Engineering - 5.3 Developer Communities and Forums for Prompt
Engineering - 5.4 Version Control in Prompt Engineering Projects
Module 6: Applications of Prompt Engineering in Various Domains
- 6.1 Natural Language Processing (NLP) Applications using
Prompt Engineering - 6.2 Business Applications using Prompt Engineering
- 6.3 Creative Applications using Prompt Engineering
Module 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering
- 7.1 Project 1: AI-Driven Customer Support
- 7.2 Project 2: Personalized Content Generation
- 7.3 Project 3: AI in Data Analysis
Optional Module: AI Agents for Prompt Engineering
- 1. What Are AI Agents
- 2. Applications and Trends of AI Agents for Prompt Engineers
- 3. Importance of AI Agents
- 4. Types of AI Agents
Tools you will explore
- ChatGPT
- LangChain
- BetterPrompt
- GitHub Copilot
