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AI Engineering Learning Hub

Practical lessons for experienced professionals who want to understand GenAI systems, connect them with their existing engineering experience, and build a credible path into AI.

Start with the foundations. Then move into RAG, agents, architecture, evaluation, and production delivery.

New to GenAI Engineering? Start Here.

These sessions are designed for experienced developers, tech leads, architects, managers, and consultants - not freshers starting their first programming course.

Follow the sequence. First understand the path. Then understand the systems.

Step 1 - Understand the Path
AI Foundations Sequence 1

AI Foundations Part 1: Your GenAI Engineering Learning Path

A practical roadmap for experienced software professionals who feel overwhelmed by disconnected AI courses, tools, and tutorials. Understand what to learn, what to ignore, and how your existing software-engineering experience fits into GenAI.

Duration
Approximately 2 Hours
Level
Foundation for Experienced Professionals
Format
Recorded Session
Access
Free

Ideal For

Senior Developers Tech Leads Solution Architects Engineering Managers

You'll Understand

  • -How GenAI Engineering differs from traditional machine learning
  • -Where LLMs, RAG, agents, evaluation, and deployment fit
  • -Why experienced engineers need an architecture-first learning path
  • -How to move from watching tutorials to building real systems
  • -What a realistic AI career transition can look like
Watch Part 1: Build My Learning Path →

Ready to turn the roadmap into a working system?

Join a Build Together Live Workshop →
Step 2 - Understand the Systems
AI Foundations Sequence 2

AI Foundations Part 2: RAG and AI Agents Explained

Understand how RAG and AI agents fit into real GenAI systems, when each pattern is useful, and how they connect with enterprise data, APIs, evaluation, security, and deployment.

Duration
Approximately 2 Hours
Level
Foundation for Experienced Professionals
Format
Recorded Session
Access
Free

Ideal For

Backend Developers AI Engineers Tech Leads Solution Architects

You'll Understand

  • -What problem RAG solves and where it fits
  • -How retrieval, embeddings, vector stores, and LLMs work together
  • -What makes an AI agent different from a chatbot or fixed workflow
  • -When to use RAG, tools, agents, or a simpler solution
  • -How these patterns connect with enterprise architecture and delivery
Watch Part 2: Understand RAG and Agents →

Want to build these systems with architecture reviews and mentorship?

Explore AI Mentorship →

Continue the AI Engineering Journey

Build Together Live

Build a focused GenAI system live

Move from foundations into short, architecture-first implementation workshops.
Mentorship

Plan a longer AI career transition

Explore structured career paths for AI Engineer, Forward Deployed Engineer, and GenAI Architect roles.
Applied Prompting

Study one small prompt lab

Use this as a focused practice item after the system-level foundations, not as the whole learning path.