OVERVIEW

This program is structured to familiarize learners with AI applications, taking them from foundational concepts to advanced practices and teaching them how to use them for business analytics. The material covers the history of AI, ethical considerations, and practical tools, such as ChatGPT, Perplexity, and Copilot.

It includes industry-specific applications, analytical concepts that help better understand customers and business clients, retention strategies, and legal frameworks impacting AI use. It teaches the learner to use SQL, Google Sheets, and Python with the help of AI.

Key Program Details

<aside> 🛠 Core technologies that are taught in this module:

• OpenAI GPT models
• Google Gemini
• Microsoft Copilot
• Claude
• Zapier
• GPT‑4o Image Generator and Midjourney
• SQL with AI
• Google Sheets with AI
• Python with AI

Personal ChatGPT subscription will need to be purchased for the program.

</aside>

Program Suitability

Designed for those with no prior or limited background in AI or analytics, this course encompasses all essential knowledge for using AI and core data analytics concepts in various industries.

Program Time

Total program time 2-4 months / ~120+ hours of learning time.

Program Outline

Module 1: AI Literacy

Sprint 1: Introduction to AI

Understand what AI really is (and isn’t) so you can use it confidently in your job:

• Distinguish between different types of AI and common business use cases
• Understand how large language models (LLMs) are trained and where their limitations come from
• Spot the differences between AI-generated and human-created content
• Apply basic security, privacy, and compliance rules when using AI at work
• Build healthy habits for using AI sustainably (avoiding over-reliance and burnout)

Sprint 3: AI for Media & Content Creation

Explore how AI can help you create visuals, presentations, and multimedia content for business:

• Generate and refine images with AI tools and describe visual styles clearly
• Use AI to brainstorm, outline, and build presentations that are clear and persuasive
• Work with AI for voice, audio, and basic video content
• Understand limitations such as poor text rendering, inconsistent branding, and style drift
• Evaluate risks around deepfakes, impersonation, and copyright

Sprint 2: Prompting for Best Outcomes

Learn how to “talk” to AI tools so they deliver useful, reliable outputs:

• Compare different AI tools and models (ChatGPT, Claude, Gemini) and choose the right one for a task
• Use prompt and context engineering to give AI clear goals, constraints, and examples
• Spot and handle hallucinations with verification techniques
• Understand advanced concepts like retrieval-augmented generation (RAG), instruction dilution, and model context
• Build reusable prompt templates for repeated business tasks

Module 2: AI Applications in Business

Sprint 1: AI for Productivity & Spreadsheets

Turn AI into a practical assistant for your everyday tasks, especially data and reporting:

• Map AI use cases across industries (commerce, operations, customer support, finance, etc.)
• Use AI meeting assistants (Fireflies.ai, Notta.ai) to capture, summarize, and action meeting notes
• Clean and transform data tables with AI support for clearer insights
• Combine AI with tools like Grammarly to write and proofread faster and more clearly
• Use AI search and verification techniques to avoid misinformation

Sprint 3: Python Programming with AI

Get a gentle, hands-on introduction to Python with the support of AI coding assistants so you can understand and participate in more technical workflows:

• Work comfortably in notebook environments (e.g. Jupyter) for data and automation tasks
• Use AI coding assistants (GitHub Copilot or Claude Code) to generate, debug, and explain code
• Understand the idea and limits of “vibecoding” — relying heavily on generative AI
• Write and run simple Python scripts for tasks like data cleaning, file processing, or basic analysis
• Read and adapt existing code snippets you may receive from AI tools or colleagues

Sprint 2: Automations with No-Code Tools

Learn how to connect tools together so work moves automatically:

• Understand the basics of automation and when it creates value in a business
• Use tools like n8n or Zapier to connect apps (email, CRM, spreadsheets, forms, etc.)
• Design AI-enhanced flows that can summarize, tag, or route information automatically
• Work with advanced nodes for branching logic, delays, and error handling
• Build simple websites or web apps using no-code builders (Hostinger Horizon, Firebase, Lovable.ai)
• Prototype, test, and iterate on automated workflows

Sprint 4: Automations with No-Code Tools

Learn how to connect tools together so work moves automatically:

• Understand the basics of automation and when it creates value in a business
• Use tools like n8n or Zapier to connect apps (email, CRM, spreadsheets, forms, etc.)
• Design AI-enhanced flows that can summarize, tag, or route information automatically