AI Engineer
Master LLM engineering from local open-source models to production agentic AI. Build with Ollama, OpenAI, Hugging Face, RAG, fine-tuning, QLoRA, and multi-agent systems.
Topic 1: Prerequisites & Environment Setup
Python, notebooks, Git, APIs, and free-tier alternatives before building LLM apps.
Topic 2: Frontier LLMs & Chat Completions
Ollama, OpenAI Chat Completions, prompts, scraping, tokens, and the website summarizer.
Topic 3: Multi-Provider APIs, Gradio & Tools
Frontier APIs, Gradio UIs, function calling, multimodal I/O, and the Airline Assistant.
Topic 4: Hugging Face & Open-Source Models
Colab GPUs, pipelines, tokenizers, model loading, Whisper, and synthetic data.
Topic 5: LLM Code Generation
Python to C++/Rust, compile-run loops, benchmarking, and picking models for code tasks.
Topic 6: RAG & Knowledge Workers
Embeddings, chunking, Chroma, LangChain, evaluation, and the Insurellm expert.
Topic 7: ML, Data Curation & Frontier Fine-Tuning
Amazon Reviews pricer, baselines, neural nets, and OpenAI fine-tuning for The Price Is Right.
Topic 8: Open-Source Fine-Tuning with QLoRA
PEFT, 4-bit quantization, SFTTrainer, and evaluating custom Llama pricers on Colab.
Topic 9: Agentic AI & Production Deployment
Modal, ensemble pricers, deal scanners, planning agents, and the Price Is Right finale.
Course Progress
Enroll to start learning!
Course Stats
- Total Topics 9
- Total Lessons 29
- Total Sessions 33
- Total Notes 33
- Estimated Time 14.399999999999999 hours
This course is only available through program enrollment.
View Program: AI Engineer