📊
AI Product Strategy
Make smart product decisions about AI
26 resources
6-8 hours
12 beginner · 13 intermediate · 1 advanced
26 resources
🎯 Start Here
Perfect for beginners or those new to this topic
course
beginner
Generative AI for Everyone
DeepLearning.AI (Andrew Ng)
3 hours
Non-technical course teaching how generative AI works and what it can (and can't) do. Hands-on exercises using generative AI in day-to-day work, with tips on effective prompt engineering. No coding required. Perfect for product managers and business leaders.
Updated: 2024
tutorial
beginner
Spec Kit Documentation
GitHub
1-2 hours
Complete documentation for GitHub Spec Kit. Learn how to write effective specifications, structure requirements, integrate with Copilot, and build spec-first workflows. Includes templates and real-world examples.
Updated: 2025
guide
beginner
Microsoft Copilot Studio - Build AI Agents
Microsoft
2-3 hours
Official Microsoft documentation for building AI agents with Copilot Studio. No-code/low-code agent builder with natural language interface. Build declarative agents for Microsoft 365 Copilot, customize with enterprise data, and deploy across Teams, web, and mobile.
Updated: 2025
course
beginner
AI Product Management Specialization
Duke University
3 months
Comprehensive specialization on AI product management from Duke University on Coursera. Learn to integrate AI into product strategies, understand AI technology capabilities, and navigate ethical considerations. Includes hands-on project creating a machine learning model (no coding required). Perfect for product managers entering AI.
Updated: 2025
guide
beginner
Salesforce Agentforce Platform
Salesforce
1-2 hours
World's first platform to connect humans and AI agents in one trusted system. Agentforce 360 features conversational builder, hybrid reasoning, and voice capabilities. Build agents using natural language with Agentforce Builder—no manual configuration required.
Updated: 2025
guide
beginner
What's The Deal With GitHub Spec Kit
Den Delimarsky (GitHub)
20 minutes
Principal Product Engineer at GitHub explains Spec-Driven Development (SDD) and GitHub Spec Kit. Learn why specs matter for AI-powered development, how Spec Kit works, and practical examples. Den led the Spec Kit project and provides insider insights.
Updated: 2025
guide
beginner
Spec-Driven Development with AI: Open Source Toolkit
GitHub (Den Delimarsky)
30 minutes
Official GitHub Blog announcement of Spec Kit. Learn about spec-driven development patterns, the specify CLI tool, and how to structure specs for AI coding agents. Works with GitHub Copilot, Claude Code, and Gemini CLI.
Updated: September 2025
course
beginner
Complete Beginner's Course on AI Evaluations
Aman Khan (Arize AI)
2-3 hours
Step-by-step course teaching AI evaluations from scratch. Covers why evals matter, how to build your first eval, evaluation methods, and production patterns. Designed for product managers and builders new to AI evaluation.
Updated: 2025
tutorial
beginner
NotebookLM: Research Assistant Guide
Google
30 minutes
Learn to use NotebookLM as your AI research assistant. Upload sources (PDFs, docs, videos), generate summaries and study guides, and create Audio Overviews (AI-generated podcasts). Ground AI responses in your materials.
Updated: 2025
guide
beginner
Designing with AI (UX Research)
Nielsen Norman Group
1 hour read
Evidence-based UX patterns for AI interfaces. Based on actual user research. Best practices for conversational UI, loading states, error handling, and user trust.
guide
beginner
Make Product Management Fun Again with AI Agents
Lenny's Newsletter
20 minutes
Practical guide for product managers on using AI agents for daily workflows. Covers automating monotonous tasks, tools like Zapier, Lindy AI, and Relay App. Focus on reclaiming time for strategic work.
Updated: 2025
guide
beginner
AI for Product Managers: Everything You Need To Know in 2025
Chisel Labs
1 hour read
Comprehensive resource for product managers navigating AI. Covers AI fundamentals for PMs, when to use AI in products, measuring AI product success, ethical considerations, and building AI-native product culture.
Updated: 2025
🚀 Core Concepts
Dive deeper into the fundamentals and best practices
guide
intermediate
GitHub Spec Kit - Spec-Driven Development
GitHub
45 min read
GitHub's new approach to building software using AI-assisted specification-driven development. Write detailed specs that AI agents can execute. Covers spec structure, best practices, integration with GitHub Copilot, and workflows for spec-first development.
Updated: 2025
course
intermediate
AI Product Certification (AIPC™)
Product School
6 weeks
Hands-on certification for product managers building AI products. Learn to develop custom prototypes with large language models (LLMs), create PRDs for AI features, and implement AI in production. Real projects on AI personalization, computer vision, and LLM integration. Industry-recognized certification.
Updated: 2025
guide
intermediate
Diving Into Spec-Driven Development With GitHub Spec Kit
Microsoft Developer (Den Delimarsky)
45 minutes
Deep dive into Spec Kit from Microsoft Developer blog. Covers project templates, specification structure, and integration with Microsoft development workflows. Practical guidance for teams adopting spec-driven development.
Updated: 2025
guide
intermediate
Beyond 'Vibe-Coding': Scaling AI with GitHub Spec Kit
Mark Beacom
25 minutes
Critical analysis of spec-driven development vs 'vibe-coding' (prompt-and-pray). Explains why specifications are essential for scaling AI-powered development in enterprise teams. Real-world examples and architectural insights.
Updated: 2025
course
intermediate
Prompt Evaluations Course
Anthropic
3-4 hours
Comprehensive course on building AI evaluations. Nine lessons teaching code-graded, human-graded, and LLM-graded evaluation methods. Learn to implement evals successfully in your workflows with the Anthropic API. Build the skill that OpenAI and Anthropic CPOs call 'the most important for 2025.'
Updated: 2025
guide
intermediate
Your AI Product Needs Evals
Hamel Husain
45 minutes
Influential guide from former GitHub ML engineer on why evals are essential. Hamel advocates spending 60-80% of development time on evals and error analysis. Learn how to move beyond demos to production-grade AI products through systematic evaluation.
Updated: 2025
guide
intermediate
Prompt Engineering for Business Performance
Anthropic
30 min read
How a Fortune 500 company used prompt engineering to improve Claude accuracy by 20%. Real case study with techniques: scratchpads, few-shot examples, and subject matter expert collaboration.
Updated: February 2024
guide
intermediate
Measuring AI Product Success
Amplitude
30 min read
Beyond accuracy: how to measure AI product success. Engagement, retention, task completion, user satisfaction. Metrics that matter for product-led growth.
guide
intermediate
LLM Patterns: Metrics That Matter
Eugene Yan
45 min read
Practical patterns for building with LLMs including evaluation, metrics, and production considerations. From an AI/ML practitioner at Amazon.
guide
intermediate
The State of AI in 2025: Agents, Innovation, and Transformation
McKinsey & Company
1 hour read
Annual McKinsey survey on enterprise AI adoption. Key insight: High performers redesign workflows (not just add AI to existing processes). Covers AI strategy, implementation best practices, and ROI metrics from hundreds of organizations.
Updated: 2025
guide
intermediate
Claude Code: Complete Guide for Developers & Product Managers
Product Makr
22 min read
Master Anthropic's agentic coding tool from beginner to advanced. Learn checkpoints & rewind, slash commands, MCP servers, hooks, extended thinking, and autonomous workflows. Complete 2025 guide with verified best practices.
Updated: November 2025
guide
intermediate
GitHub Copilot: Complete Guide for Developers & Product Managers
Product Makr
20 min read
Master GitHub's AI coding assistant from basics to autonomous agent mode. Learn workspace features, multi-file editing, custom instructions, MCP integration, and team collaboration best practices. Updated November 2025.
Updated: November 2025
guide
intermediate
Cursor AI Editor: Complete Guide for Developers & Product Managers
Product Makr
24 min read
Master Cursor 2.0 AI editor with Composer model (4x faster), multi-agent workflows (8 parallel agents), Browser for Agent, .cursor/rules system, and voice control. Comprehensive guide covering Ask, Edit, and Agent modes for autonomous coding.
Updated: November 2025
🔥 Advanced Topics
For experienced practitioners looking to go deeper
course
advanced
Machine Learning Systems Design (CS329S)
Stanford University (Chip Huyen)
10 weeks
Stanford course on designing and deploying ML systems in production. Covers data engineering, model development, deployment, monitoring, and maintenance. Includes case studies from industry. Perfect for understanding the full ML lifecycle.
Updated: 2024
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