Program Outline: Generative AI for All

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Duration:

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2 Days

Course Audience:

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QA Leads, Support Leads, Technical Leads, Service Delivery Managers, NBU Leads/Managers

Target Unit :

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Delivery CoE Product Sales and marketing Facility and IT Operations HR Internal Applications Finance Capability Building

Course Outline

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Day 1

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Morning Sessions 9:00 AM to 1:00 PM

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1. Session 1 - Introduction to Generative AI (9:00 AM - 10:30 AM)

• What is Generative AI?
• Types of Generative Models (GANs, VAEs, Diffusion Models, and LLMs)
• Key Milestones in Generative AI Development

2. Session 2 - Business Applications of Generative AI (10:45 AM - 1:00 PM)

• Enhancing Creativity and Innovation
• Automation and Efficiency Gains
• Domain-Specific Use Cases for Delivery CoE, Sales, Marketing, IT, HR, Finance

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM

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3. Session 3 - Deep Dive into Large Language Models (LLMs) (2:00 PM - 3:30 PM)

• How LLMs Work: Pre-training, Fine-tuning, and Prompt Engineering
• Hands-on Activity: Crafting Prompts for Productivity

4. Session 4 - Ethical and Responsible AI (3:45 PM - 5:00 PM)

• Bias, Transparency, and Fairness in AI
• AI Governance and Ethical Guidelines

Day 2

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Morning Sessions 9:00 AM to 1:00 PM

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5. Session 5 - Practical Tools for Generative AI (9:00 AM - 10:30 AM)

• Overview of Popular Tools: ChatGPT, DALL·E, and Others
• Hands-on Activity: Generating Text, Images, and Videos

6. Session 6 - AI in Decision-Making and Workflow Automation (10:45 AM - 1:00 PM)

• Integrating AI into Daily Workflows
• Case Studies Across Different Roles

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM

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7. Session 7 - Building Generative AI Use Cases for Your Role (2:00 PM - 3:30 PM)

• Group Activity: Brainstorming Role-Specific AI Solutions
• Drafting an AI Adoption Plan

8. Session 8 - Closing Workshop: Future-Proofing with Generative AI (3:45 PM - 5:00 PM)

• Discussion: Trends in Generative AI
• Q&A and Feedback

Key Outcomes:

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• Gain a foundational understanding of Generative AI and its workings.
• Identify role-specific applications to boost creativity and productivity.
• Develop actionable strategies for integrating AI into workflows.
• Understand ethical considerations in implementing Generative AI solutions.

Recommended Pre-Course Preparation:

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• Review introductory materials on Generative AI.
• Explore examples of AI-generated text, images, and videos.
• Familiarize yourself with ChatGPT or similar tools.

Materials Provided:

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• Course slides and handouts.
• Links to tools and resources for further exploration.
• Access to sample AI models and prompt templates.
• Certificate of Participation.