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
  • Apply effective prompt engineering techniques for research, content creation, and brainstorming
  • Identify potential AI use cases within your professional role and industry
  • Describe key principles of AI security including vulnerabilities and risks
  • Evaluate AI user interfaces based on transparency, control, and explainability principles
  • Articulate major 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: What is AI and Why Does It Matter?

Lay the groundwork by defining AI, ML, Deep Learning, and understanding the revolutionary shift brought by Generative AI. Learn how LLMs work through intuitive analogies.

Activities:

  • Guided hands-on lab using ChatGPT/Gemini for basic tasks
  • Practice summarization, brainstorming, and text rephrasing

Week 2: Practical Applications & Use Cases

Explore how to use LLMs for business tasks like research, synthesis, and prototyping. Survey AI use cases across industries.

Activities:

  • Case study introduction: KirokuForms as real-world AI application
  • Identify AI opportunities in your own work

Week 3: The Human Side of AI: UI/UX and Security

Connect user experience with security and trust. Learn AI UI/UX principles and understand common vulnerabilities.

Activities:

  • Evaluate and critique two AI applications' user interfaces
  • Analyze trust-building and security features

Week 4: The Bigger Picture: Ethics, Deployment, and Your Future with AI

Address AI bias, fairness, job impact, and production deployment. Understand responsible AI through a case study on governance frameworks.

Activities:

  • Develop one-page AI project proposal for your role/industry

Topics Covered

AI vs ML vs Deep Learning fundamentals
Large Language Models explained simply
Effective prompt engineering techniques
AI applications across industries
AI security and common vulnerabilities
UI/UX principles for AI applications
AI ethics, bias, and fairness
Real-world case studies (KirokuForms, AI Governance)

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.

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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