Advanced Prompt Engineering for AI Upskilling Product Development
Master advanced prompt engineering techniques to build effective, personalized, and unbiased AI-powered upskilling products.
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Fundamentals of Advanced Prompting
Unit 1: Prompt Engineering Foundations
Prompting: A Refresher
Context is King
Knowledge Integration
Prompt Architectures
Unit 2: Setting Up Your Prompt Engineering Environment
Dev Environment Setup
Prompt Engineering IDEs
API Keys & Authentication
Prompt Version Control
Prompt Testing Frameworks
Unit 3: Advanced Prompting Concepts
Zero-Shot Limitations
Few-Shot Nuances
Chain-of-Thought Intro
Self-Consistency Decoding
Prompt Ensembling
Advanced Prompting Techniques for Content Generation
Unit 1: Few-Shot Learning for Upskilling Content
Few-Shot Learning Intro
Crafting Effective Examples
Few-Shot for Explanations
Few-Shot for Code Snippets
Few-Shot for Quizzes
Unit 2: Chain-of-Thought Prompting for Reasoning
Chain-of-Thought Intro
Crafting Thought Chains
CoT for Problem Solving
CoT for Case Studies
CoT for Decision Making
Unit 3: Self-Consistency Decoding for Reliability
Self-Consistency Intro
Generating Multiple Outputs
Consolidating Outputs
Self-Consistency Examples
Personalization and Adaptive Learning with Prompt Engineering
Unit 1: Personalized Learning Paths
Personalization Overview
Learner Profile Prompts
Goal-Oriented Prompts
Content Sequencing Prompts
Adaptive Assessment Prompts
Unit 2: Adaptive Difficulty Adjustment
Difficulty Adjustment
Complexity Prompts
Scaffolding Prompts
Challenge Prompts
Performance Data Prompts
Unit 3: Customized Feedback
Feedback Introduction
Specific Feedback Prompts
Timely Feedback Prompts
Constructive Feedback
Bias Mitigation and Ethical Considerations in Prompt Engineering
Unit 1: Understanding Bias in AI Upskilling
Bias in AI: An Overview
Identifying Bias Types
Bias in Prompt Engineering
Unit 2: Mitigating Bias Through Prompt Engineering
Data Augmentation
Counterfactual Prompts
Bias Detection Tools
Prompt Rephrasing
Unit 3: Ensuring Fairness, Inclusivity, and Accessibility
Fairness Metrics
Inclusivity Strategies
Accessibility Standards
Diverse Content Review
Unit 4: Advanced Bias Mitigation Techniques
Adversarial Training
Reinforcement Learning
Ethical Frameworks
Integrating External Knowledge and APIs with Prompt Engineering
Unit 1: Connecting to Knowledge Sources
Knowledge Source Overview
Database Integration
Research Repository Access
Knowledge Graph Integration
Unit 2: API Integration for Real-Time Data
API Fundamentals
Real-Time Data APIs
Contextual API Integration
API Orchestration
Unit 3: Leveraging External Tools
Code Execution Tools
Data Analysis Tools
Visualization Tools
Prompting for Tool Use
Tool Selection Strategies
Security Considerations
Prompt Engineering Workflows and Optimization
Unit 1: Streamlining Content Creation with Prompt Engineering
Workflow Essentials
Prompt Libraries
Prompt Versioning
Collaboration Tools
Unit 2: A/B Testing and Prompt Optimization
A/B Testing Setup
User Segmentation
Statistical Significance
Iterative Improvement
Unit 3: Measuring Prompt Effectiveness
Key Metrics
Qualitative Feedback
Model Evaluation
Dashboarding
Reporting
Long-Term Strategy