About AI Learning Club

We're a team of Solutions Architects with deep experience building production systems — cloud infrastructure, AI/ML, Java, full-stack web development, DevOps, and complex distributed systems.

We built AI Learning Club because we saw a gap: most AI courses teach you to train a model, then stop. Nobody teaches you how to deploy it, monitor it, scale it, or keep it running at 3am when something breaks. That's the hard part — and that's what this platform focuses on.

We build and test models locally on a MacBook Pro before deploying to the cloud. If it runs on a laptop, it can run anywhere. That local-first philosophy is baked into the curriculum.

Why This Exists

After spending years shipping production systems on AWS — ECS, EKS, Lambda, DynamoDB, Bedrock, SageMaker — along with VMware, on-prem infrastructure, and local deployment, we realized the biggest bottleneck in AI adoption isn't model quality. It's the gap between "works in a notebook" and "runs in production." Engineers need to learn infrastructure, not just algorithms.

AI Learning Club teaches the full pipeline: from Python fundamentals to deploying LLMs on AWS, with everything in between — RAG systems, quantization, local inference, MLOps, and AI agents.

How It's Built

The platform itself is a production AI system:

• Static site on S3 + CloudFront (fast, cheap, global)
• AI tutor powered by Amazon Bedrock (Nova Lite)
• Serverless backend — Lambda, DynamoDB, API Gateway
• Infrastructure as code with Terraform

I practice what I teach. The platform is the proof.

Get in Touch

Feedback, questions, or collaboration ideas — reach out on LinkedIn or join the Discord.