Who this is for
Level 3 is for team leads, managers, operations professionals, and tech-curious individuals who want to understand AI at a systems level — well enough to evaluate technical proposals, work effectively with engineering teams, and design workflows that use AI appropriately.
This is not a developer course. You won't write code. But you'll develop the mental model that lets you ask the right questions, understand why AI projects succeed or fail, and make informed decisions about AI adoption.
What you'll learn
How AI Systems Fit Together
The five-layer AI stack — infrastructure, data, model, application logic, and interface — and how to diagnose problems and evaluate systems using it.
APIs and Integrations
What an API is, how integrations work, streaming, caching, cost management, and what to ask when evaluating AI vendor claims.
MCP Explained
The Model Context Protocol — what it solves, how it works, tools vs. resources vs. prompts, security considerations, and when it matters for your decisions.
Prompting, RAG, and Fine-Tuning
The three approaches to improving AI performance — what each does, when to use each, and a diagnostic framework for choosing the right approach.
Agents and Automation
What AI agents actually are, the 0–4 autonomy scale, the agent loop, reliability gaps, the minimal footprint principle, and prompt injection risks.
Testing and Reliability
AI failure taxonomy, evaluation frameworks, building test sets, regression testing, graceful degradation, and production monitoring.
Designing an AI Workflow
The workflow design canvas, four common patterns, making trade-offs, and a phased deployment approach that reduces risk.
What's included
7 written modules
20–35 minutes each. Conceptual and practical — no code required.
Guided exercises
Stack mapping, failure diagnosis, vendor evaluation, and workflow design.
Knowledge checks
8-question quizzes at the end of each module.
Workflow design canvas
A structured template for designing any AI workflow — reusable for real projects.
Two reading modes
Guided or document mode — switch anytime.
Lifetime access
One-time purchase. Revisit as the AI landscape evolves.
Pricing
One-time payment. No subscription. Lifetime access to all 7 modules and future updates.
Prerequisites
What comes next
AI in Business →
Finding high-value use cases, mapping processes, governance, build vs. buy decisions, measuring ROI, and driving adoption. For managers and team leads.