Generative AI: Prompt Engineering Basics Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a comprehensive introduction to prompt engineering with generative AI, designed for beginners. You'll explore core concepts of Large Language Models (LLMs), learn essential and advanced prompting techniques, and gain hands-on experience using leading AI tools like ChatGPT, Claude, and Bard. Through practical exercises and a final project, you’ll develop skills to optimize AI-generated content for real-world applications in writing, problem-solving, and business. Estimated time to complete: 15-20 hours.
Module 1: Introduction to Generative AI & LLMs
Estimated time: 2 hours
- Understand the fundamentals of Generative AI
- Learn how Large Language Models (LLMs) generate human-like text
- Explore differences between GPT models, Claude, and other AI tools
- Discover real-world applications of AI-powered text generation
Module 2: Prompt Engineering Fundamentals
Estimated time: 4 hours
- Learn how prompts shape AI responses
- Identify types of prompts: instructional, role-based, and contextual
- Practice writing effective prompts for improved output quality
- Experiment with basic techniques across ChatGPT, Claude, and Bard
Module 3: Advanced Prompting Strategies
Estimated time: 5 hours
- Master zero-shot and few-shot prompting techniques
- Apply chain-of-thought prompting for complex reasoning
- Guide AI responses for specific industries and use cases
- Optimize prompts for concise, informative, and creative outputs
Module 4: Practical Applications & Ethical Considerations
Estimated time: 5 hours
- Apply prompt engineering to content creation and coding
- Solve real-world problems using AI interactions
- Learn best practices to reduce AI biases and misinformation
- Understand ethical usage and responsible deployment of generative AI
Module 5: Capstone Project: Optimizing AI Prompts
Estimated time: 6 hours
- Create customized prompts for real-world scenarios
- Experiment with prompt structures to improve AI efficiency
- Develop a portfolio showcasing your prompt engineering skills
Prerequisites
- Basic computer literacy
- Familiarity with web-based applications
- No prior AI experience required
What You'll Be Able to Do After
- Understand how generative AI and LLMs work
- Write effective prompts to improve AI-generated responses
- Apply advanced techniques like chain-of-thought and few-shot prompting
- Use prompt engineering in business, writing, and problem-solving contexts
- Recognize ethical limitations and responsibly use AI-generated content