Technical Communication for AI Product Managers
Master the art of communicating complex AI concepts clearly and effectively, empowering you to lead AI product development with confidence.
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Decoding AI Fundamentals for Product Managers
Unit 1: AI/ML Concepts for PMs
AI vs. ML vs. DL
Supervised Learning
Unsupervised Learning
Model Evaluation Metrics
Neural Networks
Unit 2: AI Product Development Lifecycle
Data Collection
Model Training
Model Deployment
Model Monitoring
The AI Product Lifecycle
Crafting Effective Technical Documentation
Unit 1: API Documentation for AI Products
API Doc Essentials
Describing Endpoints
Input/Output Specs
Error Handling
Usage Examples
Unit 2: User Guides and Tutorials
User Guide Essentials
Tutorial Structure
AI Feature Explanations
Unit 3: Technical Specifications
Spec Essentials
Performance Needs
Communicating AI Insights and Limitations
Unit 1: Visualizing AI Performance
Why Visualize AI Data?
Choosing the Right Chart
Crafting Clear Visuals
Unit 2: Communicating AI Limitations & Ethics
Acknowledging Limits
Bias in AI: An Overview
Explaining Bias Simply
AI & Ethical Considerations
Unit 3: Navigating Uncertainty and Risk
Quantifying Uncertainty
Risk Communication
Scenario Planning
Prompt Engineering Communication for LLM Products
Unit 1: Fundamentals of Prompt Engineering Communication
Intro to Prompt Comm
Prompting Best Practices
Eliciting Desired Output
Unit 2: Communicating Limitations and Risks
LLM Limitations
Bias in LLMs
Ethical Considerations
Unit 3: Documenting and Sharing Prompt Strategies
Documenting Prompts
Sharing Prompts
Impact on Performance
Future of Prompt Comm