Program Outline: Generative AI for All#
Duration:#
2 Days
Course Audience:#
QA Leads, Support Leads, Technical Leads, Service Delivery Managers, NBU Leads/Managers
Target Unit :#
Delivery CoE Product Sales and marketing Facility and IT Operations HR Internal Applications Finance Capability Building
Course Outline#
Day 1#
Morning Sessions 9:00 AM to 1:00 PM#
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#
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#
Morning Sessions 9:00 AM to 1:00 PM#
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#
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:#
- 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:#
- Review introductory materials on Generative AI.
- Explore examples of AI-generated text, images, and videos.
- Familiarize yourself with ChatGPT or similar tools.
Materials Provided:#
- Course slides and handouts.
- Links to tools and resources for further exploration.
- Access to sample AI models and prompt templates.
- Certificate of Participation.
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