AI Engineer Production Track: Deploy LLMs & Agents at Scale

This is the course that more of my students have asked for than any other course — put together. One student called it: “The missing course in AI.” This course is for: Entrepreneurs Enterprise engineers …and everyone in between. It’s not just about RAG — although we’ll work with RAG. It’s not just about Agents — but there will be many Agents. It’s not just about MCP — but yes, there will be plenty of MCP too. This course is about: RAG, Agents, MCP, and so much more… deployed to production. Live. Enterprise-grade. Scalable, resilient, secure, monitored — and explained. You’ll ship real-world, production-grade AI with LLMs and agents across Vercel, AWS, GCP, and Azure, going deepest on AWS. Across four weeks you’ll take four products to production: Week 1 You’ll launch a Next.js SaaS product on Vercel and AWS, with AWS App Runner and Clerk for user management and subscriptions. Week 2 You’ll become an AI platform engineer on AWS, deploying serverless infrastructure using: Lambda, Bedrock, API Gateway, S3, CloudFront, Route 53 Write Infrastructure as Code with Terraform Set up CI/CD pipelines with GitHub Actions — for hands-free deployments and one-click promotions. Week 3 You’ll gain broad industry skills for GenAI in production: Deploy a Cyber Security Analyst agent with MCP to Azure & GCP Stand up SageMaker inference Build data ingest to S3 vectors Deploy a Researcher Agent using OpenAI OSS models on Bedrock + MCP Week 4 You’ll go fully agentic in production: Architect multi-agent systems with: Aurora Serverless, Lambda, SQS JWT-authenticated CloudFront frontends LangFuse observability Overview of AWS Agent Core By the end, you’ll know how to: Pick the right architecture Lock down security Monitor costs Deliver continuous updates Everything needed to run scalable, reliable AI apps in production. Course sections (Weeks & Projects) Week 1 SaaS App Live in Production with Vercel, AWS, Next.js, Clerk, App Runner Project: SaaS Healthcare App Week 2 AI Platform Engineering on AWS with Bedrock, Lambda, API Gateway, Terraform, CI/CD Project: Digital Twin Mk II Week 3 Gen AI in Production with Azure, GCP, AWS SageMaker, S3 Vectors, MCP Project: Cybersecurity Analyst Week 4 Agentic AI in Production: Build and deploy a Multi-Agent System on AWS (Aurora Serverless, Lambda, SQS), with LangFuse and Bedrock AgentCore Capstone Project: SaaS Financial Planner