Tutorials > AI Engineer Production Track: Deploy LLMs & Agents at Scale
AI Engineer Production Track: Deploy LLMs & Agents at ScaleDate: 17 March 2026 | Posted by: AD-TEAM |
![]() Last updated 2/2026 Created by LLM Engineer,Ed Donner MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 122 Lectures ( 18h 38m ) | Size: 13.4 GB Deploy AI to AWS, GCP, Azure, Vercel with MLOps, Bedrock, SageMaker, RAG, Agents, MCP: scalable, secure and observable.. 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 Requirements While it's ideal if you can code in Python and have some experience working with LLMs, this course is designed for a very wide audience, regardless of background. I've included a whole folder of self-study labs that cover foundational technical and programming skills. If you're new to coding, there's only one requirement: plenty of patience! The course runs best if you have a small budget for APIs and Cloud Providers of a few dollars. But we monitor expenses at every point, and it's always a personal choice. Description 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 Who this course is for Well, perhaps I'm biased, but I'd say: anyone and everyone! If you're fascinated in the potential of Agents and hungry to have the skills to create powerful Agentic AI – then you've come to the right place. While it's most suited to those with programming experience, I've designed the course to work for all backgrounds. 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