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Course Outline
Introduction
- The value and target audience for the Generative AI Leader certification
- Exam structure, domain weightings, and preparation strategies
Generative AI Fundamentals (~30%)
- Key generative AI concepts and applications (AI, ML, LLMs, foundation models, multimodal and diffusion models, prompt engineering)
- Machine learning methodologies (supervised, unsupervised, reinforcement) and the ML lifecycle
- Criteria for selecting foundation models (modality, context window, cost, performance, customization)
- Data types and quality considerations in generative AI (structured vs unstructured, labeled vs unlabeled)
- The generative AI ecosystem and Google's foundation models (Gemini, Gemma, Imagen, Veo)
Google Cloud's Generative AI Portfolio (~35%)
- Google Cloud's generative AI strengths and AI-optimized infrastructure (TPUs, GPUs, hypercomputer)
- Ready-made solutions: Gemini app and Gemini Advanced, Gemini for Google Workspace, Gemini Enterprise
- Customer experience: Customer Engagement Suite (Conversational Agents, Agent Assist, Conversational Insights)
- Developer support: Vertex AI / Agent Platform, Model Garden, and RAG solutions
- Generative AI agent tools (extensions, functions, data stores) and relevant Google Cloud services
Enhancing Generative AI Model Output (~20%)
- Mitigating foundation model constraints (knowledge cutoffs, bias, hallucinations, edge cases)
- Prompt engineering methods (zero-shot, one-shot, few-shot, role-based, prompt chaining, chain-of-thought, ReAct)
- Grounding and Retrieval-Augmented Generation (RAG)
- Sampling parameters for output control (temperature, top-p, token count, safety settings)
Business Strategies for Generative AI Success (~15%)
- Implementation steps and solution selection approaches
- Secure AI and Google's Secure AI Framework (SAIF)
- Responsible AI: privacy, bias and fairness, accountability, and explainability
Exam Preparation
- Practice questions and domain-specific reviews
- Complete mock exam and answer evaluation
- Study plan and exam-day tactics
Wrap-up and Next Steps
Requirements
Prerequisites
- No specific technical background is necessary
- A general understanding of business technology is beneficial
Target Audience
- Executives, managers, and key decision-makers
- Business professionals in various roles implementing generative AI
- Individuals preparing for the Google Cloud Generative AI Leader certification
14 Hours
Testimonials (1)
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