AI 221: Prompt Engineering and Context Engineering
- 2 Sections
- 13 Lessons
Module 1: Strategies & Optimization of Prompt Engineering
7 Lessons
- Lesson 1.1: Basics of Prompt Engineering
- Lesson 1.1: Basics of Prompt Engineering Continuation...
- Lesson 1.2: Advanced Prompting Strategies
- Lesson 1.2: Advanced Prompting Strategies Continuation...
- Lesson 1.3: Prompt Optimization and Iteration
- Lesson 1.3: Prompt Optimization and Iteration Continuation...
- Lesson 1.3: Prompt Optimization and Iteration Continuation...
Module 3: Exploring Other Large Language Models (LLMs)
6 Lessons
- Lesson 3.1: Overview of Major LLMs: Claude and Gemini
- Lesson 3.1: Overview of Major LLMs: Claude and Gemini Continuation...
- Lesson 3.2: Prompting Nuances for Claude and Gemini
- Lesson 3.2: Prompting Nuances for Claude and Gemini Continuation...
- Lesson 3.3: Choosing the Right LLM for Your Needs
- Lesson 3.3: Choosing the Right LLM for Your Needs Continuation...
Equip learners with the skills to craft effective prompts for various Large Language Models (LLMs), automate tasks, and develop intelligent systems—bridging the gap between human intent and AI capabilities across industries like business, education, customer service, and tech.
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