🎨 Learning path

Generative AI Engineering

Build production RAG pipelines, fine-tune models, and configure input/output guardrails.

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Master the tools used to engineer generative AI systems. Learn to build context-aware
RAG pipelines, implement prompt injection guardrails, and train parameter-efficient
adapters (LoRA) to adapt LLMs for specialized business domains.

What you'll learn

  1. 1. Prompt Engineering & Output Parsing 🧪 Lab · 3 steps · 🔒 Subscriber ○
  2. 2. RAG Pipeline with pgvector 🧪 Lab · 3 steps · 🔒 Subscriber ○
  3. 3. LLM Guardrails & Prompt Validation 🧪 Lab · 3 steps · 🔒 Subscriber ○
  4. 4. PEFT/LoRA Fine-Tuning 🧪 Lab · 3 steps · 🔒 Subscriber ○
  5. 5. Advanced RAG Architectures 🧪 Lab · 2 steps · 🔒 Subscriber ○
  6. 6. Multimodal RAG & Unstructured Data 🧪 Lab · 3 steps · 🔒 Subscriber ○
  7. 7. Generative AI - Knowledge Check ❓ Quiz · 🔒 Subscriber ○