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AI & Data

AI for Everyone — ChatGPT, Claude, Gemini

Use AI like a senior engineer, not a tourist.

Duration
2 weeks
Format
2 live sessions + 1 lab per week
Track type
Intensive
Open seats
18 across 2 cohorts
Apply for this course →See cohort calendar

About this course

Why students take this

Two weeks. Two hours of class per session. By the end you'll be using ChatGPT, Claude, and Gemini like a power user — not a tourist.

We focus on real workflows: writing, research, drafts, summarisation, coding help, scheduling, image generation, presentations. No fluff, no hype — just the patterns that save you hours per week.

You'll walk away with

  • A personal AI workflow that fits your role
  • Knowing when to use which model + how to switch
  • Prompt patterns that work for writing, code, and research
  • Custom GPTs and Claude Projects for your recurring tasks
  • Confidence to share AI workflows with your team

Outcomes

What you’ll walk away with

Every outcome below is something a graduate can demonstrate on the last day of class — not a vague promise.

  • 01

    Build production-ready AI-powered features

  • 02

    Write prompts, evals, and guardrails like a senior

  • 03

    Ship a portfolio AI project that demonstrates real skill

Syllabus

How the 2 weeks actually unfold

We move in deliberate phases. Each one builds on the last, so by week 2you’re working on real briefs — not still typing your first hello-world.

  1. W1

    AI for writing + research

    ChatGPT, Claude, Gemini for everyday writing.

    You can…
    • Use AI for first drafts of any document
    • Know when to use which model
    • Get better answers with better prompts
  2. W2

    AI for productivity

    Custom GPTs, Claude Projects, image gen, presentations.

    You can…
    • Build a custom GPT for your role
    • Use image generation responsibly
    • Produce a presentation with AI assistance

Who this is for

A great fit if you’re…

  • Engineers wanting to add AI to their stack
  • Founders building AI-first products
  • Analysts moving from spreadsheets to Python

Tools you’ll use

The stack you’ll get fluent in

  • OpenAI, Anthropic, Google APIs
  • Python, Jupyter, Pandas, scikit-learn
  • Vector databases, RAG pipelines

Format: 2 live sessions + 1 lab per week. Heavy hands-on coding.

FAQ

Questions students ask before joining

Do I need to know Python?+

Helpful but not required for the intro courses. The Data and LLM courses assume Python basics.

Do I need a GPU?+

No — we use cloud APIs. Your laptop can be modest.

Will I use my own data?+

You can — the LLM and Data courses both encourage bringing your own dataset for the final project.

Are these tools free to use?+

Most have free tiers. We provide API credits during cohort for paid features.

Also in AI & Data

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Build with LLMs (OpenAI/Anthropic API)

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Prompt Engineering for SMEs

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Python for Data Analysis

12 weeks

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Next step

4-minute application. Quote in 24 hours.

Tell us about your background and goals. We’ll send the syllabus, fee plan, and a cohort that fits.

Apply for AI for Everyone — ChatGPT, Claude, Gemini →