AI Engineer Production Track: Deploy LLMs & Agents at Scale

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

What you'll learn:

• Deploy SaaS LLM apps to production on Vercel, AWS, Azure, and GCP, using Clerk
• Design cloud architectures with Lambda, S3, CloudFront, SQS, Route 53, App Runner and API Gateway
• Integrate with Amazon Bedrock and SageMaker, and build with GPT-5, Claude 4, OSS, AWS Nova and HuggingFace
• Rollout to Dev, Test and Prod automatically with Terraform and ship continuously via GitHub Actions
• Deliver enterprise-grade AI solutions that are scalable, secure, monitored, explainable, observable, and controlled with guardrails.
• Create Multi-Agent systems and Agentic Loops with Amazon Bedrock AgentCore and Stands Agents