AI Analyst Curriculum

Master the skills to become an AI Analyst through 28 modules, 18 hands-on labs, and a capstone project.

6 Phases
28 Modules
18 Labs
44h Total Time

Learning Path

Phase 1 brain

AI Literacy

Master the fundamentals of AI systems, token economics, and effective prompting techniques

6 modules 2 labs 4h
Deliverable Prompt Library
Phase 2 workflow

Workflow Engineering

Design AI-enhanced processes by identifying automation opportunities and orchestrating multi-step workflows

4 modules 4 labs 5h
Deliverable Workflow Automation Proposal
Phase 3 agents

Agentic Orchestration

Design and deploy autonomous AI agents, multi-agent systems, and intelligent workflows that reason and act

5 modules 2 labs 7h
Deliverable Multi-Agent System
Phase 4 strategy

Strategy & Economics

Build business cases for AI initiatives and develop governance frameworks for responsible deployment

4 modules 4 labs 5h
Deliverable AI Strategy Presentation
Phase 5 leadership

AI Leadership & Influence

Lead AI initiatives from concept to approval. Build the skills to sell AI to skeptics, scope projects accurately, and communicate effectively with stakeholders at all levels

5 modules 3 labs 6h
Deliverable AI Initiative Proposal
Phase 6 architecture

Enterprise AI Architecture

Think at portfolio scale. Design vertical AI playbooks, balance innovation investments, and create operating models that scale AI across the enterprise

4 modules 2 labs 7h
Deliverable Enterprise AI Roadmap
Capstone Project

Capstone Project

Apply everything you've learned in a comprehensive project that demonstrates your AI Operator skills.

10 hours
Start Capstone