Do I need technical experience for this course?

No. This course is designed for business professionals. No programming or data science background is required — just a willingness to learn and experiment with AI tools.

What tools are covered in the course?

The course covers ChatGPT, Claude, Leonardo, MidJourney, Whisper AI, Otter.ai, TurboScribe, Zapier, and Make. You'll get hands-on experience with each tool through practical activities.

Will I build something practical during the course?

Yes. Every module includes a hands-on activity. By the end of the course, you'll have built a custom GPT, generated AI images, analyzed documents and data, processed audio, and created automated workflows.

Can I apply the skills to my own business use cases?

Absolutely. The activities are designed to be adaptable to your organization's needs. You're encouraged to work on use cases relevant to your business throughout the course.

Is the course delivered live or is it pre-recorded?

The course is delivered live and online. You can interact with the instructor in real-time, ask questions via chat or audio, and participate in hands-on exercises. Video recordings are provided after the course for review.

Will I receive a certificate after completing the course?

Yes, all participants receive a shareable online certificate of attendance. You can also take an optional 1-hour exam, with your score printed on the certificate.

AI Fundamentals for Business — Hands-On Use Cases

About the AI Fundamentals for Business Course

This course empowers business professionals with practical AI knowledge through real-life applications. Participants will learn to harness AI tools for text analysis, image generation, data interpretation, and more, while also discovering how to integrate AI into workflows using tools like Zapier and Make. Through hands-on activities and real-world examples, you will learn to identify AI use cases, craft effective prompts, build custom GPTs, generate images, analyze data tables, process audio, and automate business workflows.

What You'll Learn in This workshop

Identify and prioritize AI use cases relevant to your organization
Use ChatGPT and Claude for text analysis, summarization, and insight extraction
Design effective prompts for various business scenarios
Build custom GPTs for internal knowledge sharing and automation
Generate and refine AI images for marketing and presentations
Analyze data tables and audio recordings using AI tools
Automate business workflows integrating AI with Zapier or Make

AI Fundamentals for Business Outline

1. Module 1: AI Use Cases for Business

• Examples: Marketing content creation, operational decision-making
• Activity: Identify relevant use cases for your organization

2. Module 2: Text and Document Analysis

• Use Cases: Summarizing reports, extracting insights from meeting notes, and sentiment analysis
• Examples: Summarizing a business report into key takeaways or analyzing customer feedback to find recurring themes
• Tools: ChatGPT, Claude
• Activity: Analyze a sample document and extract insights

3. Module 3: Prompt Design Tips and Tricks

• Focus Areas: Writing effective, multi-step prompts for various scenarios
• Examples: Generating email drafts, extracting key data from documents
• Activity: Create and test prompts for specific business scenarios

4. Module 4: Custom GPTs and AI Personalization

• Use Cases: Tailoring AI for internal knowledge sharing or content generation
• Examples: Configuring a GPT for internal FAQ automation
• Activity: Build a basic custom GPT with predefined parameters

5. Module 5: Image Generation and Tuning

• Use Cases: Generating visuals for marketing campaigns or presentations
• Examples: Create social media graphics or presentation visuals using Leonardo or MidJourney
• Activity: Generate and refine an AI image for a specific scenario

6. Module 6: Data Table Analysis

• Use Cases: Extracting insights from operational, sales, or performance data
• Examples: Identify trends or forecast outcomes using datasets
• Activity: Analyze a data table using AI tools and generate actionable insights

7. Module 7: Audio Analysis

• Use Cases: Extracting insights from meeting or interview recordings
• Examples: Summarize a team meeting recording into actionable tasks
• Tools: Whisper AI, Otter.ai, TurboScribe
• Activity: Process an audio clip and create a summary with key themes and tasks

8. Module 8: Automating Workflows with Zapier or Make

• Content: Introduction to workflow automation tools that integrate AI
• Use Cases: Automatically summarize emails with AI and send them to Slack; create a workflow to generate meeting notes from an audio file and email them to attendees
• Tools: Zapier, Make
• Activity: Build a simple workflow to automate AI-powered content creation or data analysis