Artificial Intelligence Advanced Live Classes

LLM Engineering

Advanced program to design, build, fine-tune and deploy production LLM applications, RAG systems and evaluation pipelines.

4.9 610 enrolled 18 weeks · 150+ live learning hours Certificate
Overview
Curriculum
Instructor
FAQ

Program Overview

An advanced engineering program for building production LLM systems. Across 18 weeks and 150+ live hours you go deep on transformers, RAG, fine-tuning, tool use, evaluation, guardrails and scalable deployment, shipping real LLM applications with strong software practices.

What you'll learn

  • Build production RAG and LLM apps
  • Fine-tune and align models
  • Design evaluation and guardrail systems
  • Optimize cost and latency
  • Deploy and monitor LLM services

Tools you'll use

PythonHugging FaceOpenAI APILangChainLlamaIndexPineconeDocker

Hands-on Projects

  • Production RAG application
  • LLM evaluation harness

Career Outcomes

LLM EngineerGenerative AI EngineerAI Application Developer

Complimentary software included

Enroll in this course and get these professional tools free — licenses and access are provided as part of the program, at no extra cost.

OpenAI API Credits LLM API

Build LLM apps.

Hugging Face Pro Model Hub

Models and inference.

LangSmith LLMOps

Trace and evaluate.

Pinecone Standard Vector DB

Vector search for RAG.

Curriculum

Transformers & LLM Internals
  • Attention
  • Decoding
Prompt Engineering & Structured Output
  • Prompts
  • Schemas
Retrieval-Augmented Generation
  • Chunking
  • Retrieval
Vector Databases & Search
  • Vector DBs
  • Hybrid search
Fine-Tuning & PEFT
  • LoRA
  • Alignment
Evaluation & Guardrails
  • Evals
  • Guardrails
Cost, Latency & Scaling
  • Caching
  • Quantization
Deployment & Capstone
  • Serving
  • Capstone

Marcus Lee

AI Engineering Lead

Built GenAI products used by millions.

Certificate

Verified LLM Engineering certificate with capstone review.

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