60-Day Expert Program · 40–50 min/day

Master AI & AI Agents
From Zero to Expert

A structured, daily curriculum to go from fundamentals to building production-ready AI agents — designed for full-stack developers ready to get hired.

60
Days
4
Phases
40+
Projects
∞
Potential
Start Day 1 → See Roadmap
Your Progress
0 / 60 days completed
Learning Path

Four Phases to Expert

Each phase builds on the last. By Day 60, you'll be able to design, build, and ship AI-powered applications — and talk about them confidently in interviews.

Phase 1 — AI Foundations
Days 1–15
Understand how AI actually works. Learn the vocabulary, core concepts, and intuition behind machine learning, LLMs, and neural networks — without getting lost in math. You'll finish knowing how to use AI APIs effectively and explain AI to anyone.
AI Concepts Prompt Engineering OpenAI / Anthropic APIs LLM Basics Tokens & Context Embeddings RAG Basics
Phase 2 — AI Agents & Orchestration
Days 16–35
Dive into the world of AI agents. Learn what makes an agent different from a chatbot, how tools and memory work, and how to orchestrate multi-agent systems. Build real agents using LangChain, LangGraph, and the OpenAI Assistants API.
LangChain LangGraph Tool Use Memory Systems ReAct Agents Multi-Agent Vector DBs Function Calling
Phase 3 — Full-Stack AI Development
Days 36–52
Connect your AI knowledge to real products. Build complete apps with Next.js, FastAPI, streaming UIs, and deploy them. Learn how to integrate AI into databases, auth systems, and production-grade pipelines.
Next.js + AI SDK FastAPI Streaming Supabase / Postgres Auth Deployment Vercel / Railway
Phase 4 — Career & Portfolio Sprint
Days 53–60
Polish your projects, write case studies, prepare for technical interviews, and position yourself as an AI-native developer. Build your public presence and apply with confidence.
Portfolio Building GitHub Polish AI Interview Prep Resume Writing LinkedIn / X Strategy Job Applications
Daily Curriculum

60-Day Schedule

Click any day to see the full breakdown: what to learn, what to build, how to practice, and where to go deeper. Track your progress as you go.

Your Arsenal

Essential AI Tools

These tools will make you faster at learning and working. Master them alongside the curriculum.

🤖
Claude / ChatGPT
Use AI to explain concepts, debug code, and generate examples as you learn.
Learning accelerator
💻
GitHub Copilot
Inline AI code completion. Speeds up project building by 2–3×.
Coding assistant
🔗
LangChain
Framework for building LLM-powered apps. The industry standard for agent dev.
Agent framework
📊
LangSmith
Trace, evaluate and debug your AI pipelines in production.
Observability
🗄️
Pinecone / Chroma
Vector databases for semantic search and long-term agent memory.
Vector storage
⚡
Vercel AI SDK
The easiest way to add streaming AI responses to Next.js apps.
Frontend AI
🐍
FastAPI
Python backend for AI microservices. Pairs perfectly with LangChain.
AI backend
🔐
Supabase
Postgres + Auth + Storage. Great pairing with AI apps for user data.
Database + Auth
📝
Notion AI
Keep your notes, projects, and learning log in one place with AI-assisted summaries.
Knowledge management
🌐
n8n / Make
No-code/low-code workflow automation — pair with agents to build pipelines fast.
Automation
🔎
Perplexity AI
AI search. Use it to research new topics, frameworks, and papers quickly.
Research tool
🎯
Cursor / VS Code
AI-native code editor (Cursor) or Copilot-enhanced VS Code for project work.
Development IDE
Career Outcomes

Jobs You Can Get

After 60 days, these are real roles you can apply for. Entry-level AI roles are exploding in demand — and full-stack developers who know AI are rare and valuable.

AI Application Developer
$80k–$140k / year
Build LLM-powered apps · API integration · Prompt engineering · Full-stack deployment
AI/ML Engineer (Junior)
$90k–$150k / year
Model fine-tuning · RAG pipelines · Vector databases · Python + APIs
AI Agent Developer
$100k–$160k / year
LangChain / LangGraph · Multi-agent systems · Tool use · Orchestration
Full-Stack AI Developer
$90k–$160k / year
Next.js + AI SDK · FastAPI · Streaming UIs · Supabase · Vercel deploy
Prompt Engineer
$70k–$130k / year
System prompts · Chain-of-thought · Evaluation · LLM behavior tuning
AI Product Builder (Indie/Startup)
Freelance / Equity
Ship your own AI SaaS · Micro-tools · Web3 + AI crossover · Community products