Generative AI Leader Course

Prerequisites

• Basic understanding of business or technology
• Interest in AI concepts
• No coding required
• Prior experience in management and business analysis roles is helpful but not mandatory

What Will You Learn

• Understanding the fundamentals of Generative AI, Large Language Models (LLMs) and foundation models
• Differentiating between Artificial Intelligence, Machine Learning and Generative AI
• Exploring the Generative AI ecosystem, enterprise AI tools and platforms such as Google AI Studio
• Identifying real-world business use cases and productivity applications of Generative AI
• Understanding Retrieval-Augmented Generation (RAG) and AI-driven automation workflows
• Learning how AI agents work in enterprise environments
• Developing strategies for enterprise AI adoption and AI transformation
• Evaluating ROI and making AI-driven business decisions
• Applying prompt engineering techniques to improve AI-generated outputs
• Understanding responsible AI principles including ethics, bias, transparency and data privacy
• Exploring Google Cloud Generative AI services and enterprise integration approaches
• Analyzing industry case studies to understand AI implementation strategies
• Planning and implementing Generative AI solutions within organizations

Who should enroll

• Business leaders and decision-makers
• Project managers and product owners
• Business analysts and consultants
• Professionals looking to understand AI adoption
• Managers exploring AI transformation strategies
• Anyone interested in Generative AI for business applications