Master the Skills That Get AI Engineers Hired
Learn to code, deploy, and build 4 complete AI applications: a Discord RAG knowledge base, a multi-modal speech-to-image pipeline, an automated evaluation system, and a production AI agent that schedules meetings and sends emails via Google APIs.
Companies Our Alumni Work At
How It Works: Your 5-Day AI Journey
No Tricks. No Upsells. Just Five Days to Go From Tutorials to Production-Ready AI Systems.
Setting Up Your AI Engineering Environment
Modal, FastAPI, React - Master the development environment setup and build your first AI-powered application
→ A complete full-stack AI foundation with Modal serverless deployment, FastAPI backend, and React frontend.
RAG, Code Generation, and Function Calling
Discord scraping, embeddings, similarity search with CLIP, and AI-powered function calling
→ A sophisticated RAG system that combines search with generative AI and lets AI decide between different approaches.
Multi-Modal AI Systems
Speech recognition with Whisper, image generation with DALL-E, vision-language models, and text-to-speech
→ A complete multi-modal pipeline combining speech, images, and vision with AI-powered workflows.
Multi-Modal Evaluation Systems
Automated evaluation pipelines, quantitative and qualitative scoring, A/B testing, and monitoring dashboards
→ Comprehensive evaluation systems to systematically test and improve your multi-modal AI systems.
Building AI Agents
OpenAI Assistant API, Google Calendar and Gmail integration, persistent conversations, and production deployment
→ A sophisticated AI agent that acts as your virtual executive assistant with real-world capabilities.
By Friday, you'll have multiple AI applications deployed and the skills to build production AI systems.
Why This Approach?
Learn the complete AI engineering stack: from RAG systems to multi-modal pipelines to production AI agents. The same technologies used at leading AI companies.
The Shift: From Stuck to Unstoppable
If you're a software engineer looking to add AI, you're probably hitting one of these walls:
Just Getting Started
- Tutorial hell: You've watched demos but don't know which tools actually matter for production
- Stack paralysis: LangChain vs LlamaIndex? When to use embeddings vs fine-tuning? The decisions feel overwhelming
- The deployment gap: You can make OpenAI API calls, but that's not the same as architecting an AI system
Already Building
- Demo to production gap: RAG systems that work in demos but fall apart with real user queries
- Scale blindness: No idea how to handle rate limits, costs, or errors at scale
- Black box debugging: Uncertainty about observability—How do you even debug an LLM in production?
What you actually want:
- A clear mental model of how production AI systems work, not just API calls but the full architecture
- Hands-on experience with the decisions that matter: when to use RAG vs agents, how to structure prompts, how to handle failures
- A portfolio of deployed apps that prove you can ship, not just follow tutorials
- The confidence to say "I can build that" when AI opportunities come up at work
That confidence? It's five days away.
And it starts the moment you get Day 1 in your inbox.
Is This For You?
This course works best for engineers with specific backgrounds and goals.
This course is perfect if you:
- ✓Already know Python and have built web applications (we're not teaching programming basics)
- ✓Want to move beyond ChatGPT demos to production AI systems
- ✓Have 30 minutes to 2 hours per day for five days
- ✓Are comfortable with APIs, deployments, and reading documentation
This is NOT for you if:
- ✗You're brand new to programming (start with Python fundamentals first)
- ✗You're looking for theory or ML model training (this is about engineering systems with LLMs)
- ✗You expect fully production-ready apps without any additional work (these are strong foundations, not turnkey products)
Meet Your Instructor
Why Trust This Road Map?
I'm Noah Hein, former Founding Engineer at Smol AI and the instructor who taught this as a $1,000 Maven course to engineers at TikTok, Google, and Microsoft.
Before that? I was frying chicken for $14/hour with no CS degree.
I taught myself to code and built my way into production AI engineering. Now I teach others the fastest path I wish I'd had: from idea to deployed AI app in days, not months.
I'm giving away the course for free because I remember what it's like to feel stuck while everyone else seems to be shipping.
Social Proof
What Course Alumni Are Saying
Real feedback from engineers who completed the course
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Your Transformation Starts Tomorrow
Over 2,847 developers have taken this journey. Many went from "I should build something" to shipping production apps in less than a week.
This comprehensive 5-day course gives you the practical skills and confidence to build and deploy real applications that users actually want to use.
Tomorrow morning, you'll get Day 1: setting up your development environment and building your first full-stack application.
Five days from now, you'll have multiple production apps in your portfolio.
The gap between "interested in development" and "I can build this" is smaller than you think. It's just five focused days.