AI for Business Analysts

From zero to fluent in AI — no jargon, real hands-on.

For whom?

Business Analysts, Product Owners, PMs. No prior technical knowledge required.

Level

Beginner → Intermediate

Duration

4h 0min · 11 modules

A self-paced, gradual course for BAs who want to understand and use AI in daily work. From fundamentals (what is a model, what is a prompt) to professional tools (VS Code, GitHub Copilot, Claude Code, agents, skills).

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Syllabus

0
Welcome
How the course is structured and how to navigate it efficiently.
5 min
Ready
1
What is AI?
Definitions without jargon: AI, ML, LLM. What a model does and doesn't do.
20 min
Ready
2
Anatomy of a good prompt
The 5 elements of an effective prompt. Before/after examples.
25 min
Ready
3
Context & Memory
Context window, persistent memory, RAG. Why models "forget".
15 min
Ready
4
Tools & Function Calling
How a model "acts" in the world: file system, web, APIs.
20 min
Ready
5
Agents & Workflows
What is an agent, when to use one, multi-agent orchestration.
25 min
Ready
6
Skills (Anthropic)
Modular capabilities, triggered on demand. How to write and invoke them.
20 min
Ready
7
Hands-on: VS Code & GitHub Copilot
Setup, first inline prompts, chat, edit, agent mode.
30 min
Ready
8
Hands-on: Git & branches for BAs
Branch, commit, PR — the minimum you need to collaborate with engineering.
25 min
Ready
9
Hands-on: Claude Code
Terminal, sub-agents, transcripts, hooks, slash commands.
35 min
Ready
10
Putting it together
A real workflow: from requirement to PR review, with AI as assistant.
20 min
Ready
★
Final test
10 questions that validate your grasp of key concepts. Passing score: 70%.
10 Q