Natural Language Processing & LLMs
Tokenization, embeddings, fine-tuning, RAG, prompt engineering, and building production LLM applications. This architect track is structured for adult learners who need practical, career-relevant depth without academic abstraction. Delivered as a live experience, the course combines guided milestones, implementation reviews, and applied exercises aligned with modern AI, engineering, and technical leadership work.
Price
$7,600
Tax included
Duration
12 weeks
Format
Live
Instructor
Amir Haddad
Tokenization, embeddings, fine-tuning, RAG, prompt engineering, and building production LLM applications.
Course Plan
Syllabus
Build a grounded understanding of text representations, tokenization, and language modeling.
- Tokenization
- Embeddings
- Language modeling basics
Outcomes
Includes
- • 12 live weeks with LLM labs and architecture reviews.
- • Prompt, evaluation, and RAG implementation templates.
- • Hands-on exercises using embeddings, retrieval, and fine-tuning concepts.
- • Case studies on hallucination, guardrails, and production reliability.
Instructor
Amir Haddad
Amir designs LLM-powered applications and teaches the technical and product tradeoffs behind reliable language systems.