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 Concepts to Practical Application

Master the fundamentals of AI, understand its real-world impact, and learn to leverage tools like ChatGPT to boost your productivity and decision-making

Target Audience

The Curious Professional

Core Value

Confidently navigate the AI-driven world and leverage 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 rapidly evolving technology landscape, AI literacy is becoming as fundamental as computer literacy was a generation ago. Whether you’re a manager trying to understand how AI could transform your department, a marketer exploring new creative tools, or an entrepreneur looking for competitive advantages, this course provides the essential foundation you need.

What Makes This Course Different

Unlike technical AI courses that focus on programming and mathematics, this program is specifically designed for business professionals. We use real-world examples, including our own KirokuForms product, to demonstrate how AI moves from concept to practical application. You’ll learn through hands-on exercises with tools you can use immediately, not abstract theory.

Course Philosophy

We believe that everyone can understand AI when it’s explained properly. Throughout this course, we use analogies and practical examples to make complex concepts accessible. You’ll learn to think of LLMs as “super-intelligent high school students” who need guidance, or as “autocomplete on steroids” - mental models that make the technology understandable and less intimidating.

Who Should Take This Course

This course is ideal if you:

  • Feel left behind in conversations about AI
  • Want to understand how AI could impact your job or industry
  • Need to evaluate AI tools or vendors
  • Are curious about AI but intimidated by technical jargon
  • Want practical skills you can apply immediately

No coding experience or technical background is required. If you can use email and web browsers, you have all the technical skills needed for this course.

Ready to transform your team?

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

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