Prompt Engineering Foundations
Build the essential skills every AI professional needs. The perfect starting point for Claude, Nano Banana, and beyond.
Created by Dr. Rebecca Hayes — Director of Curriculum & AI Education
About This Course
This 4-week foundational course teaches the core principles of prompt engineering that apply across all AI models. You will master zero-shot, few-shot, and chain-of-thought patterns while gaining practical experience with both Claude and Nano Banana. Ideal for career switchers, marketers, analysts, and anyone entering the AI field. No prior AI experience required.
What You Will Learn
- Understand how large language models process and respond to prompts
- Master zero-shot, few-shot, and chain-of-thought prompting patterns
- Apply prompt engineering across both text (Claude) and visual (Nano Banana) AI models
- Design effective prompts for common business use cases
- Evaluate and iterate on prompt performance using systematic frameworks
- Prepare for the AI Prompt Engineering Certification exam
Course Syllabus
12 modules • 48 lessons • 4 hands-on projects
Survey the current AI ecosystem, understand where Claude and Nano Banana fit in, and learn why prompt engineering is the most important skill in the AI era.
Learn the fundamental building blocks of effective prompts: instruction clarity, context setting, output formatting, and constraint specification.
Master zero-shot, few-shot, chain-of-thought, and role-based prompting patterns. Apply each technique with hands-on labs in Claude and Nano Banana.
Apply your skills to real-world scenarios: content creation, data analysis, visual generation, and automated workflows. Complete practice exams for certification.
Requirements
- No prior AI or programming experience required
- A computer with internet access
- Curiosity and willingness to practice with AI tools
- Basic computer literacy (email, web browsing, document editing)
Your Instructor
Dr. Rebecca Hayes
Director of Curriculum & AI Education
Dr. Rebecca Hayes holds a Ph.D. in Artificial Intelligence from MIT and has published over 40 peer-reviewed papers on human-AI interaction. As the founding Director of Curriculum at TR Prompting Academy, she designs programs that bridge the gap between AI theory and practical application.