Unit 1: Reviewing Core Prompting Principles
Unit 2: Limitations of Basic Prompting
Unit 3: Categories of Advanced Prompting
Unit 4: Evaluating Prompt Performance
Advanced Prompt Engineering for AI Upskilling Products
Master advanced prompt engineering techniques to build cutting-edge AI upskilling products that deliver exceptional learning experiences and outcomes.
Unit 1: Chain-of-Thought (CoT) Prompting: The Basics
Unit 2: Advanced CoT Techniques and Applications
Unit 3: Tree-of-Thought (ToT) Prompting: Exploring Multiple Paths
Unit 4: CoT vs ToT: Choosing the Right Approach
Unit 1: Understanding Graph of Thoughts (GoT)
Unit 2: Applying GoT for Knowledge-Intensive Tasks
Unit 3: Creating and Maintaining Knowledge Graphs
Unit 1: Foundations of Few-Shot Learning
Unit 2: Few-Shot Prompting Strategies
Unit 3: Meta-Prompting Techniques
Unit 4: Applications and Evaluation
Unit 1: Unlocking AI Creativity
Unit 2: Crafting Engaging Narratives
Unit 3: Controlling Style and Tone
Unit 4: Overcoming Creative Hurdles
Unit 1: Quantitative Prompt Evaluation
Unit 2: Qualitative Feedback and Prompt Refinement
Unit 3: Bias Mitigation and Ethical Considerations