Master AI in 20 Hours

The complete AI mastery curriculum for business professionals

Your AI Transformation

This isn't a "learn about AI" course. It's a "master AI" program. 20 hours of intensive, hands-on training that takes you from curious to confident to expert.

Each phase builds on the previous. By the end, you'll have deployed a real AI solution and have the skills to build more.

AI workflow diagram

Phase Breakdown

Phase 1: AI Fluency (4 Hours)

Master the fundamentals. Speak AI fluently. Build your personal AI toolkit.

Session 1: What AI Can Actually Do

Distinguish AI capabilities from hype. Map your workflows. Understand the course progression.

Session 2: Structured Prompting (Context-Task-Format)

Master the CTF framework. Apply to office workflows. Iterate based on output quality.

Session 3: Advanced Prompting

Few-shot, chain-of-thought, system personas. Build your prompt library (5–8 prompts).

Session 4: Quality Control & Verification

Recognize hallucinations. Build fact-checking protocols. Create verification checklists.

Phase 2: AI Problem-Solving (6 Hours)

Apply AI strategically. Solve business problems. Build AI-powered solutions.

Session 5: Process Mapping & Bottlenecks

Map business processes. Identify bottlenecks. Recognize where AI adds value.

Session 6: AI in Sequences

Chain prompts together. Build multi-step workflows. Connect outputs to inputs.

Session 7: Data Processing

Transform unstructured data. Test with real workflows. Handle various input types.

Session 8: Conditional Logic

Add if/then gates. Map decision trees. Route based on priority or category.

Session 9: Iteration & Feedback

Validate outputs. Refine based on real data. Run multiple refinement cycles.

Session 10: Integration Overview

Connect to CRM, email, Slack, databases. Plan system integration.

Phase 3: AI Execution (6 Hours)

Deploy AI at scale. Build intelligent automations. Create AI agents that work 24/7.

Session 11: Triggers & Automation Basics

Learn trigger-based automation. Build simple 1–2 step automations.

Session 12: Agent Architecture

Understand multi-agent systems. Map components (triggers, tools, logic, gates).

Session 13: Hands-On Platform Build

Build in Make/Zapier/n8n. Construct 3-step automation. Test and debug.

Session 14: Human-in-the-Loop

Add oversight. Configure approval gates. Set conditional routing.

Session 15: Error Handling & Monitoring

Plan failure scenarios. Design fallback logic. Set up performance monitoring.

Session 16: Multi-Model & Cost Optimization

Choose right model for task. Evaluate speed vs. cost. Optimize efficiency.

Phase 4: AI Impact (4 Hours)

Measure results. Secure buy-in. Launch your AI advantage.

Session 17: Refining Your Capstone

Peer review. Polish automation. Document all decision logic.

Session 18: Building the Business Case

Create ROI model. Calculate savings. Build 1-page proposal.

Session 19: Governance & Compliance

Address security, compliance, bias audit. Create governance checklist.

Session 20: Final Presentations & Deployment

Present capstone. Answer questions. Create 30-day deployment plan.

Your AI Advantage Package

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AI Toolkit

5-8 proven AI prompts and techniques you can use immediately.

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Live AI Solution

A complete, working AI solution to a real business problem.

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AI ROI Case

Proof of impact with numbers, timeline, and resources.

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AI Governance

Security, compliance, and risk framework for your organization.

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AI Playbook

Your personal playbook for deploying more AI wins at work.

Ready to Master AI?

Secure your spot in the next cohort.

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