AI Engineer Accelerator

A hands-on program for engineers who want to build, adapt, and deploy real AI systems.

What you learn

> Foundations of modern AI systems: tokenization, embeddings, attention, and transformer architectures
> LLM engineering: prompt & context design, evaluation pipelines, synthetic data
> Retrieval-Augmented Generation (RAG) as a full search and knowledge system
> Fine-tuning techniques: LoRA, embedding tuning, instruction tuning, RLHF/DPO
> Multimodal systems: text + image + audio models and embeddings
> AI agents and tool-use workflows
> Advanced architectures: Mixture-of-Experts, reasoning models, modern LLM stacks
> Production AI: guardrails, monitoring, evaluation, scaling, and cost optimization

Hands-on work

• 50+ code exercises and notebooks
• 4 mini-projects based on real production problems
• 1 end-to-end AI project for your company or startup

Systems built in the program

• RAG pipelines and knowledge assistants
• AI agents with tool use and planning
• voice AI systems (STT → LLM → TTS)
• code assistants and browser agents
• multimodal AI applications

Focus:
Code-first learning, real engineering workflows, and building production-ready AI systems.