AI for Business

Session 1: Course Introduction & AI Fundamentals

• Understand the evolution and scope of artificial intelligence in business.
• Define generative AI, large language models (LLMs), and their core components (pre-training, transformers, context windows).
• Compare traditional automation (e.g., calculators) versus generative systems.
• Discuss AI opportunities and risks (creativity empowerment, hallucinations, ethical considerations).

Session 2: Getting Started with ChatGPT

• Set up and compare free vs. paid ChatGPT accounts (features, context limits, model versions).
• Navigate the ChatGPT interface—chat threads, model selection, history.
• Explore basic conversational workflows: asking questions, iterative follow-ups, renaming chats.
• Discuss compute demands, service availability, and when login is required.

Session 3: Prompt Engineering & Best Practices in ChatGPT

• Craft clear, context-rich prompts to guide responses.
• Use system messages and role-playing to shape tone and output.
• Leverage examples, constraints, and step-by-step prompts for precise results.
• Recognize and mitigate AI “hallucinations” through verification and feedback loops.

Session 4: Advanced ChatGPT Features & Business Use Cases

• Work with ChatGPT’s memory and context limits for multi-turn workflows.
• Incorporate browsing, file uploads, and external data (where available).
• Automate common business tasks: summarizing documents, drafting emails, generating ideas.
• Integrate ChatGPT outputs into existing tools and processes.

Session 5: Introducing Microsoft 365 Copilot

• Outline Copilot account tiers (free, Pro, Microsoft 365 Copilot) and their pricing.
• Differentiate ChatGPT vs. Copilot (product branding, release cadence, integration).
• Understand “web” vs. “work” tabs: browsing the public web vs. accessing Microsoft Graph data.
• Review privacy and security: Copilot’s handling of corporate data and compliance.

Session 6: Copilot in Word, Excel & PowerPoint

• Use Copilot to draft, refine, and edit documents in Word.
• Generate formulas, analyze data, and build charts in Excel via natural-language requests.
• Auto-create slide decks, speaker notes, and design suggestions in PowerPoint.
• Streamline repetitive formatting and layout tasks across Microsoft 365 apps.

Session 7: Copilot in Outlook, Teams & OneDrive

• Summarize and respond to email threads in Outlook with Copilot.
• Draft meeting agendas, minutes, and follow-up messages in Teams chats and channels.
• Search, organize, and query files on OneDrive using natural-language prompts.
• Combine Copilot with Microsoft 365 workflows for end-to-end productivity gains.

Session 8: Capstone Project & Next Steps

• Define a real-world business scenario to solve with ChatGPT and/or Copilot.
• Design and test prompt-based workflows, integrating outputs into chosen tools.
• Prepare a brief demonstration and share lessons learned (benefits, limitations).
• Discuss the roadmap for scaling AI adoption, governance, and continuous improvement.