Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Business Executives and Innovation Managers
• Digital Transformation Leaders
• Entrepreneurs and Startups
• Product Managers and Strategists
• Marketing, HR, and Operations Professionals
• IT Managers and Business Analysts
• Anyone responsible for driving business improvement or innovation using new technologies

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

By the end of this course, participants will be able to:

• Understand the core concepts and capabilities of ChatGPT and Generative AI.
• Identify opportunities to apply generative AI across business operations.
• Use ChatGPT to automate, enhance, or innovate business processes.
• Design AI-powered workflows for marketing, sales, HR, customer service, and R&D.
• Assess ethical, legal, and governance considerations when implementing generative AI.
• Prototype and pitch AI-driven innovation initiatives for their own business contexts.

DAY 1

Introduction to Generative AI & ChatGPT for Business

• Welcome and introduction
• Pre-test
• Understanding Generative AI and Large Language Models (LLMs)
• What is ChatGPT? How does it work?
• Key differences between AI, Machine Learning, and Generative AI
• Real-world use cases across industries
• Live demonstration
• Workshop

DAY 2

Applying ChatGPT Across Business Functions

• Marketing: Content generation, SEO, campaign planning
• Customer Service: AI-powered support, chatbots, and automation
• Human Resources: Resume screening, onboarding, training support
• Sales: Proposal writing, lead qualification, CRM integration
• Operations: Process documentation, reporting, decision support
• Hands-on Lab

DAY 3

Driving Innovation Through AI Integration

• Identifying innovation opportunities with Generative AI
• Brainstorming with AI: Ideation, product development, and R&D
• Using ChatGPT for strategic decision-making and forecasting
• Leveraging APIs and AI tools for custom business solutions
• Group Activity

DAY 4

Risks, Ethics, and Governance of Generative AI

• Ethical implications and bias in generative models
• Legal considerations: Data privacy, intellectual property, compliance
• AI policy and governance frameworks for organizations
• Transparency, explainability, and responsible AI use
• Case Study
• Group Discussion

DAY 5

Capstone: AI Innovation Challenge & Implementation Planning

• Innovation Challenge: Teams pitch generative AI solutions for a business case
• Evaluation and feedback on each team’s idea
• Planning AI adoption in your organization

• Tool selection
• Cost/benefit analysis
• Change management

• Building your AI Innovation Roadmap
• Wrap-up, and Q&A
• Post-test
• Certification Ceremony