Chelsea AI Ventures
Business AI Training Strategist Pathway 4 Weeks (Online, approx. 3-4 hours/week) or 1 Day Intensive (In-Person, London)

AI Literacy: From Concept to Real-World Use

Grasp the basics of AI, see its real-world impact, and learn to use tools like ChatGPT to make you more productive and a better decision-maker.

Target Audience

The Curious Professional

Core Value

Confidently navigate the AI-driven world and use basic AI tools to boost your productivity

Key Differentiator

Real-world case study intro (KirokuForms) and a balanced focus on concepts, tools, and ethics

Learning Objectives

  • Define and clearly differentiate between AI, ML, DL, and Generative AI
  • Explain how Large Language Models work using clear, non-technical analogies
  • Differentiate between ChatGPT and Microsoft Copilot, and know when to use which for enterprise data
  • Apply effective prompt engineering techniques for research, content creation, and brainstorming
  • Design simple 'Custom GPTs' while understanding the realistic limitations of autonomous agents
  • Describe key principles of AI security including vulnerabilities and risks
  • Identify the 'Green Zone' tasks where AI boosts productivity vs. 'Red Zone' tasks where it adds risk
  • Articulate key principles of Data Sovereignty and privacy-first AI usage, and ethical considerations including bias, fairness, and societal impact

Prerequisites

None. This course is designed for absolute beginners with no prior programming or computer science expertise.

Course Structure

Week 1: The Ecosystem: ChatGPT, Copilot, and LLM Basics

Define AI, ML, and GenAI. Understand the difference between public models (ChatGPT) and enterprise-integrated tools (Microsoft Copilot). Learn how LLMs work via simple analogies.

Activities:

  • Guided hands-on lab: ChatGPT vs. Copilot comparison
  • Practice summarization and text rephrasing basics

Week 2: Practical Productivity: The Green Zone

Identify high-value 'Green Zone' tasks (drafting, boilerplate, synthesis) versus 'Red Zone' risks. Apply prompting techniques to day-to-day business workflows.

Activities:

  • The 'Green Zone' Audit: Identifying low-risk/high-reward tasks in your role
  • Case study: KirokuForms as a real-world application

Week 3: From Users to Builders: Custom GPTs & Agents

Move from 'Read-Only' consumption to 'Read-Write' creation. Learn to build simple Custom GPTs and understand why 'Human-in-the-loop' beats fully autonomous agents.

Activities:

  • Workshop: Design and build a simple Custom GPT for a specific role
  • Working with files and data: Best practices for M365 integration

Week 4: The Bigger Picture: Sovereignty, Privacy, and Ethics

Understand the 'Privacy First' approach. Learn why data sovereignty matters, how to avoid 'AI Slop', and how to audit AI outputs for accuracy.

Activities:

  • Develop a one-page AI project proposal (Proof of Concept)
  • Privacy Audit: Evaluating tools for data safety and 'Digital Ephemerality'

Topics Covered

ChatGPT vs. Microsoft Copilot Ecosystems
Large Language Models explained simply
The 'Green Zone' vs 'Red Zone' of AI Productivity
Effective prompt engineering techniques
Realistic expectations of AI Agents
Data Sovereignty and Privacy-First AI
Real-world case studies (KirokuForms)

Capstone Project

Develop a one-page proposal for a small-scale AI project relevant to your current role or industry, outlining the business problem, proposed AI solution, potential benefits, and key risks/ethical considerations.

Why This Course Matters

In today’s fast-moving world, knowing about AI is as important as computer skills were a generation ago. Whether you’re a manager figuring out how AI can help your team, a marketer looking for new tools, or an entrepreneur seeking an edge, this course gives you the essential skills you need.

What Makes This Course Different

This isn’t a technical course bogged down in code or math. It’s built for professionals. We show you how AI works using real-world examples, like our KirokuForms product, so you can see how an idea becomes a useful tool. You’ll learn by doing, using tools you can apply to your job right away.

Course Philosophy

We believe anyone can get AI when it’s explained clearly. That’s why we use simple analogies and practical examples to break down complex ideas. We’ll teach you to think of AI tools like “super-smart interns” that need good instructions, or “autocomplete on steroids.” These simple mental models make the tech easy to grasp and much less intimidating.

Our philosophy is built on three core pillars:

  1. Read-Write Culture: We don’t just teach you to prompt (consume); we teach you to configure and build simple tools (create).
  2. The Shepherd Mindset: As Garry Kasparov noted, a “weak human + machine + better process” beats a strong computer alone. You will learn to be the shepherd who guides the algorithm.
  3. Reality Over Hype: We cut through the noise. We won’t promise you fully autonomous workers (which currently have a ~2.5% success rate on real tasks). Instead, we focus on the “Green Zone”, the 30-40% productivity gains available in drafting, summarizing, and routine problem solving.

Who Should Take This Course

This course is perfect for you if:

  • You feel left behind in conversations about AI
  • You want to understand how AI will affect your job or industry
  • You need to evaluate AI tools or vendors for your company
  • You’re curious about AI but intimidated by the technical jargon
  • You want practical skills you can start using right away

You don’t need any coding or tech background. If you can send an email and browse the web, you’re all set.

Ready to transform your team?

Contact us to discuss custom training solutions or group enrollment options.

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