Become an AI builder in just four weekends.
A live, code-first accelerator for engineers and technical professionals ready to build real AI applications using LLM APIs, RAG, agents, evaluations, and deployment workflows.
That's exactly why we built KIDLIN AI Engineering Accelerator.
You don't need a PhD in machine learning.
You do need the skills to design, build, evaluate, and deploy AI systems.
You want to move from using AI tools to building AI products.
You want to turn models and experiments into real applications.
You want to prototype and ship AI-powered products faster.
You want to understand the full stack behind modern AI applications.
Four focused modules across four weekends. Structured to help you build and ship.
Learn structured prompting, tool calling, schema-based outputs, API handling, model trade-offs, token control, and application architecture fundamentals.
Work with embeddings, chunking, vector search, retrieval pipelines, citations, and grounded responses using private or domain-specific data.
Build agentic systems that use tools, external APIs, memory, and multi-step workflows to complete practical engineering tasks.
Evaluate reliability, add guardrails, optimize performance and cost, deploy an AI application, and present a working capstone project.
Tools you'll use
Stop experimenting. Start building.