AI for Non-Technical Professionals

Generative AI is now an essential workplace skill. It helps non-technical professionals, freshers, and experienced employees use ChatGPT, Claude, Gemini, like tools effectively to boost productivity, quality, and decision-making without coding.

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Course curriculum

1. Segment 00: Welcome to the Course: Course Overview
2. Segment 01: Introduction to the Course
1. Segment 02: Module Introduction
2. Segment 03: What generative AI actually is
3. Segment 04: How AI predicts the next word
4. Segment 05: Why AI gets things wrong
1. Segment 06: Choosing and setting up your AI tools
2. Segment 06: Your first prompt and the mistakes to avoid
3. Segment 07: Reading: McKinsey: Superagency in the Workplace
4. Segment 08: Hands-On-Lab: Build your AI tool comparison sheet
5. Segment 09: Quiz: Choosing Your AI Tool and Running Your First Workflow
1. Segment 10: Module Introduction
2. Segment 11: The anatomy of a strong prompt
3. Segment 12: Few-shot prompting and examples
4. Segment 13: Iteration: refining without starting over
1. Segment 14: ChatGPT for writing and editing
2. Segment 15: Microsoft Copilot in Word and Outlook
3. Segment 16: Microsoft Copilot in Excel and PowerPoint
4. Segment 17: Claude for long-form writing and document analysis
1. Segment 18: Google Gemini in Workspace
2. Segment 19: NotebookLM for source-grounded notes
3. Segment 20: Perplexity for cited research
4. Segment 21: Reading: Coursera Job Skills Report 2026
5. Segment 22: Hands-on-Lab: Build a personal prompt library
6. Segment 23: Quiz - Google Gemini, NotebookLM, and Perplexity for research
1. Segment 24: Module Introduction
2. Segment 25: Drafting professional emails and memos
3. Segment 26: Long-form content with consistent voice
4. Segment 27: Editing and proofreading at speed
1. Segment 28: Audience research and personas
2. Segment 29: Building a campaign in one session
3. Segment 30: Social media and short-form content
4. Segment 31: Visuals, charts, and pitch decks with AI
1. Segment 32: Drafting customer responses and replies
2. Segment 33: Summarizing customer feedback at scale
3. Segment 34: Account communications and follow-up
1. Segment 35: Why AI matters for frontend sales staff
2. Segment 36: Quick product research during a customer conversation
3. Segment 40: Personalized recommendations and matched add-ons
4. Segment 41: Handling objections and rehearsing the close
5. Segment 42: Reading: Salesforce State of Sales Report
6. Segment 43: Hands-on-Lab: Build your frontend sales prompt kit
7. Segment 44: Quiz - AI for frontend sales staff
1. Segment 45: Module Introduction
2. Segment 46: Standard operating procedures with AI
3. Segment 47: Project plans and status reports
4. Segment 48: Meeting prep, notes, and action items
1. Segment 49: Working with spreadsheets using AI
2. Segment 50: Turning numbers into narrative
3. Segment 51: AI for budgeting and forecasting
1. Segment 52: Job descriptions and inclusive language
2. Segment 53: Resume screening assistance
3. Segment 54: Onboarding, learning, and 1:1 prep
4. Segment 55: Reading: WEF Future of Jobs Report 2025
5. Segment 56: Hands-on-Lab: Automate one back-office workflow end to end
6. Segment 57: Quiz: AI for human resources and people operations
1. Segment 58: Module Introduction
2. Segment 59: Data privacy and confidential information
3. Segment 60: Bias, hallucinations, and verification
4. Segment 61: Intellectual property and AI-generated content
1. Segment 62: Building an AI policy your team will follow
2. Segment 63: Running an AI pilot inside your team
3. Segment 64: Coaching colleagues into AI fluency
1. Segment 65: From chatbots to AI agents
2. segment 66: AI in your industry over the next two years
3. Segment 67: Staying current as the tools change
4. Segment 68: Reading - NIST AI Risk Management Framework
5. Segment 69: Hands-On-Lab: Draft a one-page AI adoption plan
6. Segment 70: Quiz: What comes next: agentic AI and the future of work
1. Segment 71: Course Wrap-Up Video
2. Segment 72: Project: Run a Cross-Functional AI Sprint: Launch Week for a Small Brand

About this course

Free
71 lessons
5.5 hours of video content

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AI for Non-Technical Professionals

Course curriculum

Chapter 1: Introduction to Entire Course

Chapter 2: Understanding generative AI in plain language

Chapter 3: Choosing Your AI tool and Running Your First Workflow

Chapter 4: Prompting fundamentals that work everywhere

Chapter 5: ChatGPT, Copilot, and Claude for everyday productivity

Chapter 6: Google Gemini, NotebookLM, and Perplexity for research

Chapter 7: AI for writing and content production

Chapter 8: AI for marketing, campaigns, and pitch decks

Chapter 9: AI for customer-facing and support roles

Chapter 10: AI for frontend sales staff

Chapter 11: AI for operations and project management

Chapter 12: AI for finance and analysis

Chapter 13: AI for human resources and people operations

Chapter 14: Responsible AI use at work

Chapter 15: Leading AI adoption in your team

Chapter 16: What comes next: agentic AI and the future of work

Chapter 17: Course Conclusion

About this course

Discover your potential, starting today