🎨 Career path

Generative AI Engineer

Orchestrate agentic workflows, fine-tune models, and deploy secure RAG pipelines.

0 / 30 complete

23 labs · ~8h total

The complete curriculum for building generative AI applications. Learn to construct
scalable RAG apps with vector databases, manage prompt templates, implement
guardrails against prompt injection, and run PEFT/LoRA fine-tuning adapters.

Targets: Generative AI Engineer / AI Application Developer / LLM Systems Engineer

🐧 Linux Administration Foundation

4 labs · ~2.1h · Open path →

Prerequisite foundations — skip if you already know this.

  1. 1. Command Line & Filesystem 🧪 Lab · 7 steps ○
  2. 2. Users, Permissions, Processes & Automation 🧪 Lab · 7 steps ○
  3. 3. Partitioning, Filesystems & LVM 🧪 Lab · 5 steps ○
  4. 4. Networked Filesystems with NFS 🧪 Lab · 5 steps ○
  5. 5. Linux Administration - Knowledge Check ❓ Quiz ○

🐳 Docker Foundation

7 labs · ~2.6h · Open path →

Prerequisite foundations — skip if you already know this.

  1. 1. Your First Container 🧪 Lab · 3 steps ○
  2. 2. Working with Docker Images 🧪 Lab · 5 steps ○
  3. 3. The Container Lifecycle 🧪 Lab · 5 steps ○
  4. 4. Building Docker Images 🧪 Lab · 5 steps ○
  5. 5. Container Networking 🧪 Lab · 4 steps ○
  6. 6. Volumes & Persistent Storage 🧪 Lab · 4 steps ○
  7. 7. Real-World Container Apps 🧪 Lab · 4 steps ○
  8. 8. Docker - Knowledge Check ❓ Quiz ○

🐍 Python for AI Foundation

3 labs · ~50 min · Open path →

Prerequisite foundations — skip if you already know this.

  1. 1. Python for Data Engineering 🧪 Lab · 3 steps ○
  2. 2. Python for AI Engineering 🧪 Lab · 3 steps ○
  3. 3. Python for Agent Engineering 🧪 Lab · 3 steps ○
  4. 4. Python for AI - Knowledge Check ❓ Quiz ○

📐 Vector Databases & Semantic Search

1 lab · ~20 min · Open path →
  1. 1. Vector Databases & pgvector 🧪 Lab · 3 steps ○
  2. 2. Vector Databases - Knowledge Check ❓ Quiz ○

🎨 Generative AI Engineering

6 labs · ~1.5h · Open path →
  1. 1. Prompt Engineering & Output Parsing 🧪 Lab · 3 steps ○
  2. 2. RAG Pipeline with pgvector 🧪 Lab · 3 steps ○
  3. 3. LLM Guardrails & Prompt Validation 🧪 Lab · 3 steps ○
  4. 4. PEFT/LoRA Fine-Tuning 🧪 Lab · 3 steps ○
  5. 5. Advanced RAG Architectures 🧪 Lab · 2 steps ○
  6. 6. Multimodal RAG & Unstructured Data 🧪 Lab · 3 steps ○
  7. 7. Generative AI - Knowledge Check ❓ Quiz ○

🧠 Agent Engineering (LangGraph & ADK)

1 lab · ~20 min · Open path →
  1. 1. Building a LangGraph Supervisor Agent 🧪 Lab · 3 steps ○
  2. 2. Agent Engineering - Knowledge Check ❓ Quiz ○

🤖 Capstone: Autonomous Support Agent

1 lab · ~20 min · Open path →
  1. 1. Building an Autonomous Support Agent 🧪 Lab · 3 steps ○
  2. 2. GenAI Capstone - Knowledge Check ❓ Quiz ○