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AI Academy — Practical notes. No consultancy pitch.

Practical AI.
Plain English.

A small library of guides shaped by enterprise work in AI agents, governance, and Microsoft 365. Free to read, free to keep.

All courses free No technical background needed Built for enterprise professionals
— COURSE 001
Free

AI Agents, Decoded.

Five plain-English chapters for anyone ready to understand what's actually happening inside the AI revolution — how agents work, where they fail, and how to control them.

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01
Foundation

Chatbot, Copilot, Agent — what's actually different

Three terms used interchangeably that mean three very different things.

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  • Why a chatbot is not an agent — and why the difference matters
  • What Copilot actually does, and what it can't do alone
  • The defining traits of a true autonomous agent
  • A mental model you'll use every time someone pitches you "AI"
"An agent doesn't just answer. It decides, acts, and keeps going — often without asking for permission."
02
Mechanics

How an agent thinks and acts — no code required

Perception, reasoning, memory, tools. The four-part engine behind every agent worth knowing about.

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  • The perceive, reason, act loop — explained without jargon
  • What "memory" means for an AI — and its surprising limits
  • Tools: how agents connect to calendars, data, APIs, the real world
  • Multi-agent systems — when agents hand tasks to other agents
"AI doesn't remove responsibility. It redistributes it."
03
Risk

Where agents break — the risks nobody talks about

Hallucinations are just the beginning. A candid look at what makes enterprise AI deployments fail quietly.

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  • Hallucination, drift, and silent failure — a practical taxonomy
  • Why "it worked in the demo" is one of the most dangerous sentences in AI
  • The accountability gap — when something goes wrong, who owns it?
  • Real failure patterns from real enterprise deployments
"The risk isn't that the agent does something dramatic. It's that it does something quietly wrong, repeatedly, at scale."
04
Governance

What governance looks like before you deploy one

The questions every organisation must answer — before a single agent touches a live system.

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  • Ownership, oversight, and audit trails — the governance triad
  • EU AI Act, ISO 42001, and what they actually require from you
  • The 7-stage agent lifecycle — from ideation to decommission
  • A pre-deployment checklist you can use on Monday
"Governance isn't bureaucracy. It's the difference between an agent that earns trust and one that quietly erodes it."
05
Next steps

Your first agent — questions to ask before you build

The chapter that turns understanding into action. A decision framework for the room where it gets decided.

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  • The problem-fit test — not every problem needs an agent
  • Build vs buy vs configure — the honest breakdown
  • 10 questions to ask your business stakeholder before you commit
  • What a well-governed first agent looks like in practice
"The best first agent isn't the most impressive one. It's the one with the clearest boundaries, the simplest task, and a human watching closely."
— COMING NEXT

More courses in the pipeline.

COURSE 002
AI Agent Governance,
in Plain English
COURSE 003
Microsoft Copilot:
What Leaders Need to Know
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AI Agents, Decoded.

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AS
Athar SHEIKH
AI Governance & Agents Specialist

Who this is for

  • Business leaders evaluating AI adoption
  • Team leads asked to "do something with AI"
  • Governance and risk professionals
  • Anyone curious — no background needed

What you get

  • 5 plain-English chapters (~45 min read)
  • Downloadable PDF guide
  • Pre-deployment governance checklist
  • 10 questions for your business stakeholder
  • No code, no jargon, no hype
Part of the Athar Sheikh AI Academy — practical notes for enterprise professionals navigating the AI era.
Based in Lausanne, Switzerland.
This site is a personal profile and knowledge space, not a consultancy offering. It reflects practical work and frameworks in enterprise AI governance and Microsoft 365 Copilot.
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