Learn to Build with AI

Master production AI development with structured learning paths. Learn Spec-Driven Development for building with AI agents, AI Evaluations (the #1 skill for 2025), and the Model Context Protocol for agent architectures. 90+ curated resources from Anthropic, Microsoft, Google, AWS, and industry leaders.

Start Here: Essential Skills for 2025

The most important topics for product builders working with AI agents and production systems.

📝
Spec-Driven Development
Move from "vibe coding" to production-ready AI code. Build with Claude Code, Cursor, GitHub Copilot using structured specifications.
⭐ New in 2025

Perfect for: PMs, builders, and teams using AI coding agents

✅
AI Evaluations
Test and validate AI systems before shipping. The #1 skill for 2025 according to CPOs of OpenAI and Anthropic.
#1 Skill 2025

Essential for: Production AI, testing, and quality assurance

🔌
Model Context Protocol
Standardize how AI agents connect to tools and data sources. The future of agent interoperability.
Industry Standard

Critical for: Agent builders and enterprise AI systems

Learning Paths

Choose your path based on what you want to learn. Each path includes curated resources, hands-on tutorials, and real-world examples.

🎓
16 resources
AI Fundamentals
Understand how LLMs work and what they can do
30-40 hours
Start Learning →
🤖
42 resources
Building AI Agents
Build agents that can use tools and reason
15-20 hours
Start Learning →
🧠
7 resources
Agent Memory & RAG
Give agents context and memory
8-12 hours
Start Learning →
🚀
38 resources
Production AI
Ship AI features that scale
10-15 hours
Start Learning →
📊
26 resources
AI Product Strategy
Make smart product decisions about AI
6-8 hours
Start Learning →
Not Sure Where to Start?
Choose a path based on your role and goals. We'll guide you through the essentials.
Complete Beginner
4 hours
Never touched AI? Start here to understand the fundamentals.
  • Watch: Andrej Karpathy's Intro to LLMs (1 hour)
  • Read: Anthropic's Prompt Engineering Guide (30 min)
  • Try: Interactive Prompt Engineering Tutorial (2 hours)
  • Experiment: Build something with Claude or ChatGPT (30 min)
Want to Build Agents
7 hours
Ready to build AI agents with structured development and modern tools.
  • Read: Spec-Driven Development guide (20 min)
  • Learn: Model Context Protocol (MCP) basics (15 min)
  • Read: Anthropic's Building Effective Agents (30 min)
  • Study: Agentic workflows and patterns (1 hour)
  • Tutorial: Build agent with MCP tools (2-3 hours)
  • Build: Your first spec-driven agent project (2 hours)
Shipping to Production
6 hours
Learn how to deploy AI systems that are reliable, fast, and secure.
  • Master: AI Evaluations - #1 skill for 2025 (15 min)
  • Read: Anthropic cost optimization (20 min)
  • Study: Error handling and monitoring (45 min)
  • Read: LLM Security best practices (15 min)
  • Setup: Testing and eval frameworks (1.5 hours)
  • Implement: Prompt caching and optimization (2 hours)
  • Deploy: Production monitoring (1 hour)
Product Manager
5 hours
Make informed decisions about AI features and development strategy.
  • Read: Spec-Driven Development for PMs (20 min)
  • Understand: AI Evaluations for product quality (15 min)
  • Read: Anthropic business case study (30 min)
  • Study: Nielsen Norman AI UX research (1 hour)
  • Learn: AI product metrics from Amplitude (30 min)
  • Review: Real case studies (Notion, GitHub, etc) (2 hours)

Popular Resources

Start with these highly recommended resources

Browse All
video
beginner
Intro to Large Language Models
Andrej Karpathy
1 hour
General-audience introduction to LLMs covering what they are, how they work, where they're headed, and security challenges. Explains LLMs as the core component behind ChatGPT, Claude, and Bard with operating system analogies.

Updated: November 2023

View Resource
course
intermediate
Neural Networks: Zero to Hero
Andrej Karpathy
~15 hours
Build neural networks from scratch in code. Starts with backpropagation basics and builds up to modern deep neural networks like GPT. Language models as the entry point to deep learning, fully transferable to other domains.
View Resource
interactive
beginner
Prompt Engineering Interactive Tutorial
Anthropic
2-3 hours
Hands-on Jupyter notebooks teaching production-grade prompting with Claude. Nine chapters covering prompt structure, common pitfalls, Claude's strengths/limitations, and crafting effective prompts. Interactive exercises throughout.

Updated: 2024

View Resource
guide
beginner
Prompt Engineering Guide
Anthropic
30 min read
Official documentation on prompt engineering best practices for Claude 4.x models. Covers clear instructions, providing context, using examples, chain-of-thought reasoning, and Claude 4 specific techniques.
View Resource
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

View Resource
course
beginner
Deep Learning Specialization
DeepLearning.AI (Andrew Ng)
5 courses, ~25 hours
Comprehensive deep learning resource covering neural networks, CNNs, RNNs, and training techniques. Taught by Andrew Ng, Stanford adjunct professor and AI pioneer. Foundational concepts through advanced applications.

Updated: 2024

View Resource

Topic Deep Dives

Comprehensive guides on AI concepts. Each topic includes ELI5 explanations, practical guidance for PM/Builders, code examples, and best practices.

AI Fundamentals

Prompt Engineering
Craft effective prompts that get better results from AI models

10 min read • Beginner

Chain-of-Thought
Improve AI reasoning by asking models to think step-by-step

9 min read • Beginner

Function Calling
Enable AI agents to use external tools and APIs

11 min read • Intermediate

Agent Memory & RAG

Agent Memory
Give your AI agents the ability to remember context across conversations

11 min read • Intermediate

Episodic Memory
How AI agents remember specific experiences and events

10 min read • Intermediate

Implementing Episodic Memory
Production-ready guide with code examples for agent memory

15 min read • Intermediate

Vector Databases
Storage for agent memory and semantic search

12 min read • Intermediate

Agent Memory Tools
Complete toolkit guide for vector databases and memory frameworks

14 min read • Intermediate

RAG Systems
Give AI models access to external knowledge through RAG

12 min read • Intermediate

Memory vs RAG
When to use agent memory vs RAG for your application

13 min read • Intermediate

Memory Architecture
System design patterns for agent memory at scale

14 min read • Advanced

Memory Management
Production best practices for managing agent memory at scale

12 min read • Advanced

Memory Basics
Introduction to AI agent memory concepts

8 min read • Beginner

Model Context Protocol
Standardizing agent memory and context sharing

12 min read • Intermediate

Building AI Agents

Spec-Driven Development
⭐ New
Move from vibe coding to production-ready AI code with GitHub Spec Kit

18 min read • Intermediate

Agentic Workflows
Design patterns for building autonomous AI agents

13 min read • Advanced

Context Optimization
Optimize context windows for better performance

10 min read • Intermediate

Production AI

AI Evaluations
⭐ Featured
#1 skill for 2025 according to CPOs of OpenAI and Anthropic

14 min read • Intermediate

LLM Security
Security risks and best practices for AI applications

13 min read • Intermediate

Memory Safety
Preventing memory-related security issues in AI agents

11 min read • Advanced

Prompt Caching
Reduce costs by 90% by caching repeated context

8 min read • Intermediate

Strategy & Decisions

RAG vs Long Context
When to use RAG vs long context windows

10 min read • Intermediate

Company Strategies
How leading companies build AI products

12 min read • Advanced

Open vs Proprietary
Choosing between open-source and proprietary models

9 min read • Beginner

Tool Comparisons

Pinecone vs FAISS
Managed vs self-hosted vector databases compared

12 min read • Intermediate

Explore More Resources

Beyond learning resources, discover AI tools, company insights, and curated content to accelerate your AI product journey.

🛠️

AI Tools

Discover the best AI tools for building products, from LLM APIs to agent frameworks

🏢

Companies

Learn from leading AI companies and how they're building intelligent products

📚

Books

Deep dive into AI, product management, and building great products

🎙️

Podcasts

Stay updated with the best product and AI podcasts from industry leaders

Ready to Start Building?
Pick a learning path and start your AI journey today. All resources are free and curated for product builders.
Start with FundamentalsBuild Your First Agent