6 interactive lessons · 450 min total

All Pathways
Pathway 3Technical leads, STOs, operations managers, AI practitioners

Builder

Applied AI & Systems Thinking

Move from using AI to building with AI. Apply Systems Thinking to design scalable AI architectures, understand the technical stack from embeddings to RAG pipelines, and build hybrid human-AI operating models that deliver measurable business outcomes.

6
Courses
450 min
Total content
82%

of executives plan to adopt AI agents within 3 years

Capgemini, 2025

Learning Progression

How courses build on each other

1
Intermediate

Systems Thinking for AI

Architecture

2
Intermediate

Embeddings & Semantic Search

Vector Representations

3
Intermediate

Vector Databases & RAG

Knowledge Grounding

4
Advanced

Context Engineering at Scale

Production AI

5
Advanced

AI Agent Architecture

Autonomous Systems

6
Advanced

Hybrid Workforce Design

Operating Model

What You'll Achieve

Learning outcomes

1
Apply Systems Thinking to AI architecture and workflow design
2
Understand embeddings, vector databases, and RAG pipelines
3
Design and evaluate AI agent architectures
4
Build and govern AI-powered automation at scale
5
Architect the hybrid human-AI operating model
Course Catalogue

6 courses in this pathway

Click any course to explore its content, topics, and outputs.

Optional guided deep dives

Continue beyond this pathway

These recommendations are optional extensions drawn from established learning providers. They are not prerequisites for the free learning in AI Enablement Hub; access and availability may vary by provider, location, or learner plan.

Intermediate

DeepLearning.AI + AWS

Generative AI with Large Language Models

LLM lifecycle · evaluation · deployment

A technical deep dive into the LLM lifecycle—from data and model selection to evaluation, tuning, scaling, and deployment. Python and basic ML familiarity are recommended.

View public course page
Intermediate

Microsoft

Working with large language models using Azure

LLM application · solution architecture

A practical course for learners who want to translate LLM concepts into applications, with an emphasis on workflows, architecture, model training, and fine-tuning.

View public course page
Advanced

Pragmatic AI Labs

Large Language Models with Hugging Face

Agents · prompt engineering · Hugging Face

A focused extension for Builder learners exploring open model tooling, prompt engineering, and agentic workflows with Hugging Face.

View public course page
Intermediate

LinkedIn Learning · Jonathan Fernandes

Introduction to Large Language Models

LLM internals · benchmarks · model selection

A 1-hour technical and non-technical bridge covering LLM training, components, applications, and benchmark-based comparison to strengthen practical model-selection decisions.

View public course page