Generative AI Leader Professional Certificate Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Generative AI Use Cases & Foundations
Estimated time: 6 hours
- Overview of generative AI and its evolution
- Key business applications across industries
- Understanding the generative AI project lifecycle
- Foundations of foundation models and their strategic value
Module 2: Strategic Implementation on Google Cloud
Estimated time: 8 hours
- Introduction to Google Cloud AI services and Vertex AI
- Model selection and customization strategies
- Deployment patterns for enterprise scalability
- Cost analysis and resource optimization
Module 3: Responsible AI & Governance
Estimated time: 4 hours
- Principles of fairness and bias mitigation
- Transparency, explainability, and model interpretability
- Data privacy and security in AI systems
- Regulatory compliance and audit frameworks
Module 4: Building Generative AI Agents
Estimated time: 6 hours
- Architecting AI agents for automation
- Designing prompt chains and workflows
- Integrating multimodal inputs and outputs
- Creating conversational flows for leadership tasks
Module 5: Capstone: Generative AI Strategy & Deployment
Estimated time: 6 hours
- Mapping use cases to organizational goals
- Developing a generative AI adoption roadmap
- Implementing governance guardrails
- Deploying a prototype on Vertex AI
Prerequisites
- Familiarity with high-level AI and machine learning concepts
- Basic understanding of cloud computing platforms
- Experience in leadership or strategic planning (helpful but not required)
What You'll Be Able to Do After
- Assess generative AI use cases beyond chatbots, including content creation and process automation
- Distinguish between AI, machine learning, and foundation models in strategic contexts
- Develop and execute a generative AI adoption roadmap using Google Cloud tools
- Apply responsible AI principles to ensure ethical, fair, and compliant deployments
- Design and deploy a generative AI agent to automate real-world leadership tasks