Everyone's heard of ChatGPT, but what truly powers these modern large language models? This 14-week coaching program demystifies LLMs, taking you from concept to code with hands-on mastery of the full AI engineering stack.

What you'll master: • Transformer architecture, autoregressive decoding, and multi-head attention • Prompt engineering, embeddings, and RAG pipeline development • Fine-tuning with LoRA, RLHF, DPO, and GRPO • Building GPT-2 (124M) from scratch in PyTorch • Agent architectures with perception, planning, and tool-use • Production AI with guardrails, structured outputs, and scaling patterns

How it works: • Remote & self-paced — learn from anywhere • Weekly 1-on-1 instruction with AI/ML researchers • 50+ hands-on labs using Hugging Face, DSPy, LangChain, and OpenPipe • 4 competition-based mini projects • Community of 60+ AI engineers • Career prep with job placement support and guarantee

Instructors: • Dr. Dipen — AI/ML researcher, 150+ citations, 16 published papers, PhD from Cleveland State University • Zaoyang — Co-creator of Farmville (200M users, $3B revenue) and Kaspa ($3B market cap)

By the end, you'll be ready to understand, build, and optimize LLMs — with the skills to read research papers, evaluate models, and confidently land AI engineering roles.