Imperius AI Academy · Free Certification
Master AI.
Certify for free.
9 modules on modern AI, agents, and AI employees — context engineering, MCP, orchestration, evals and governance, taught as the practical discipline of supervising work you did not do yourself.
Beginner to practitioner · Updated July 2026
The fastest-growing teams are the ones that understand AI — not just use it.
This certification gives you the conceptual framework and the hands-on knowledge to go from curious to confident.
What you'll learn
Nine outcomes you can point to — not a list of tools you have heard of.
- Explain how language models work, and predict where they will fail before they do
- Apply the four disciplines — delegation, description, discernment, diligence — to real work
- Engineer context deliberately: instructions, memory, retrieval and skills
- Connect agents to tools through MCP, including the 2026-07-28 revision
- Design orchestrated, durable multi-agent workflows that survive production
- Evaluate AI work with golden sets, regression detection and cost budgets
- Defend against prompt injection and tool abuse architecturally
- Meet enterprise requirements: least privilege, audit trails, oversight and AI regulation
- Design, deploy and supervise an AI employee end to end
9 modules. Everything you need.
From how a language model actually works to deploying, evaluating and governing an AI workforce
Module 1
Foundations: how AI actually works
What a language model is doing under the hood, why tokens and context windows govern everything, and where the failure modes come from.
Module 2
From chatbots to agents
The leap from a model that talks to a system that acts: tools, memory, autonomy, and the loop that ties them together.
Module 3
Working with AI: the four disciplines
A durable framework for collaborating with AI — deciding what to delegate, describing it well, judging the result, and owning the outcome.
Module 4
Context engineering
Why prompt-only approaches break at scale, and how to assemble the right context — instructions, memory, retrieval and skills — for every call.
Module 5
Tools, MCP, and connected agents
How agents reach the outside world: the Model Context Protocol, what changed in the 2026-07-28 revision, and how to equip an employee with the right capabilities.
Module 6
Orchestration and reliability
Turning agents into a workforce that survives production: graphs and checkpoints, durable execution, always-on work, and the code-execution pattern.
Module 7
Evaluating and measuring AI work
How to know whether an AI employee is actually good: golden sets, regression detection, cost and latency budgets, and the bar for going live.
Module 8
Safety, governance, and enterprise readiness
The threat models specific to agents, approval gates as a control, and what an enterprise needs before AI touches production: least privilege, audit, residency, regulation.
Module 9
AI Glossary
Plain-English definitions of the AI terms you hear in product meetings, pitches, and the news — a living reference as the field evolves.
Final Exam + Certificate
Pass the exam. Earn a verifiable certificate you can share.
20 questions · 30-minute timer · 80% to pass (16 correct) · shareable on LinkedIn
↳ Get certified for freeWho it's for
No technical background required — just curiosity about where AI is taking work.
Founders & executives
who want to understand AI deeply before making strategic bets on it.
Sales & marketing teams
ready to leverage AI employees for outreach, campaigns, and pipeline.
Operations leads
looking to automate workflows and scale output without growing headcount.
Anyone curious about AI
who wants a practical, jargon-free foundation — no technical background required.
Start your free AI certification today.
~4h 14m of lessons. 9 modules. A certificate that proves you understand AI employees — free, forever.