🧠Pro

LLM Engineering

Build production AI systems: OpenAI and Anthropic APIs, advanced RAG pipelines, fine-tuning with LoRA/QLoRA, evaluation with RAGAS and LLM-as-judge, LangGraph agentic workflows, cost optimization with caching and model routing, and LLM security and guardrails.

6 modules 6 lessons ~2h AI voice coach
Start Learning — Pro

1-month free Pro trial included

Course Outline

1

LLM APIs & Advanced Prompt Engineering

1 lessons

OpenAI and Anthropic APIs, token economics, system prompts, chain-of-thought, structured outputs, and prompt patterns that actually work in production

LLM APIs: From First Call to Production Prompts
2

RAG Systems & AI Agents

1 lessons

Build retrieval-augmented generation pipelines, vector databases, agentic tool use, function calling, and multi-step reasoning systems

RAG Pipelines & Agentic Systems
3

Fine-Tuning, LoRA & PEFT

1 lessons

When to fine-tune vs prompt engineer, full fine-tuning vs LoRA, QLoRA for 4-bit fine-tuning on consumer hardware, PEFT library, and preparing training datasets

Fine-Tuning with LoRA & QLoRA
4

LLM Evaluation & Production Systems

1 lessons

Evaluation frameworks (LLM-as-judge, RAGAS, BLEU/ROUGE), cost optimization with caching and model routing, latency optimization, observability, and production LLM architecture

LLM Evaluation & Production
5

LangChain, LangGraph & Agentic Workflows

1 lessons

LangChain Expression Language (LCEL), chains, LangGraph for stateful multi-step agents, tool use, human-in-the-loop, and building reliable agentic systems

LangChain & LangGraph
6

LLM Security, Safety & Guardrails

1 lessons

Prompt injection attacks, jailbreaks, PII detection, content filtering, output validation, rate limiting LLM endpoints, and building safe AI products

LLM Security & Guardrails