What will you learn in Generative AI Leader Professional Certificate Course
Assess the broad landscape of generative AI use cases beyond chatbots, including content creation, research augmentation, and process automation.
Distinguish between AI, machine learning, and foundation models and understand their strategic implications for organizations.
Develop a generative AI adoption roadmap, from ideation through implementation, leveraging Google Cloud’s AI platform.
Apply responsible AI principles—fairness, explainability, and governance—to ensure trustworthy and compliant deployments.
Program Overview
Course 1: Generative AI Use Cases & Foundations
⏳ 6 hours
Topics: Overview of GenAI, business applications, project lifecycle, and foundation model basics.
Hands-on: Map real-world use cases to your organization’s strategic priorities and sketch a high-level GenAI blueprint.
Course 2: Strategic Implementation on Google Cloud
⏳ 8 hours
Topics: Google Cloud AI services, model selection, deployment patterns, and cost considerations.
Hands-on: Prototype a GenAI solution using Google’s Vertex AI, from data ingestion to endpoint deployment.
Course 3: Responsible AI & Governance
⏳ 4 hours
Topics: Fairness and bias mitigation, transparency, privacy, and regulatory compliance.
Hands-on: Conduct an ethical AI health check on a sample GenAI workflow and implement guardrails.
Course 4: Building Generative AI Agents
⏳ 6 hours
Topics: Agent architectures, prompt chains, multimodal inputs, and conversational flows.
Hands-on: Design and deploy a GenAI assistant that automates a common leadership task (e.g., meeting synthesis).
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Job Outlook
Leaders who can architect and govern GenAI initiatives are increasingly in demand across sectors—finance, healthcare, retail, and technology.
Roles include AI Strategy Lead, Digital Transformation Director, and Innovation Manager, with salaries often ranging from $120K–$180K USD.
Expertise in GenAI use-case evaluation, cloud deployment, and responsible AI positions you to spearhead organizational change and competitive advantage.
Specification: Generative AI Leader Professional Certificate
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FAQs
- No prior coding or AI development skills are required.
- Leadership experience or familiarity with business strategy is recommended.
- The course emphasizes strategic deployment and governance of AI.
- Hands-on labs focus on Google Cloud tools like Vertex AI.
- Ideal for executives and managers aiming to implement AI initiatives.
- Yes, the course covers AI use cases across finance, healthcare, retail, and technology.
- You’ll learn to map AI projects to organizational goals.
- Includes frameworks for content creation, research augmentation, and process automation.
- Responsible AI and governance ensure safe deployment.
- Provides a foundation to lead AI adoption enterprise-wide.
- Focuses on strategic leadership, not software development.
- Covers AI adoption roadmaps, governance, and enterprise deployment.
- Includes responsible AI practices like fairness, explainability, and compliance.
- Hands-on labs are designed for decision-makers rather than developers.
- Unlike generic AI courses, it equips leaders to manage AI initiatives from ideation to execution.
- AI Strategy Lead.
- Digital Transformation Director.
- Innovation Manager for AI initiatives.
- Enterprise AI Governance Consultant.
- Salaries typically range from $120K–$180K USD depending on experience.
- Yes, the course emphasizes fairness, bias mitigation, and transparency.
- You’ll learn ethical frameworks and compliance strategies.
- Hands-on labs allow practical application of responsible AI principles.
- Guides leaders to implement AI with organizational trust and accountability.
- Prepares you to manage risk while deploying enterprise AI solutions.
