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Duration 14 hours
Course Outline
Introduction
- The value and target audience of the Generative AI Leader certification
- Exam structure, domain weightings, and preparation strategies
Generative AI Fundamentals (~30%)
- Essential generative AI concepts and use cases (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)
- Layers of the generative AI landscape and Google's foundation models (Gemini, Gemma, Imagen, Veo)
Google Cloud's Generative AI Solutions (~35%)
- Google Cloud's generative AI advantages and AI-optimized infrastructure (TPUs, GPUs, hypercomputer)
- Pre-built solutions: Gemini app and Gemini Advanced, Gemini for Google Workspace, Gemini Enterprise
- Customer experience enhancements: Customer Engagement Suite (Conversational Agents, Agent Assist, Conversational Insights)
- Developer tools: Vertex AI / Agent Platform, Model Garden, and RAG capabilities
- Generative AI agent tooling (extensions, functions, data stores) and associated Google Cloud services
Strategies to Enhance Generative AI Model Outputs (~20%)
- Mitigating limitations of foundation models (knowledge cutoff, 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 Effective Generative AI Solutions (~15%)
- Implementation phases and solution selection frameworks
- Secure AI practices and Google's Secure AI Framework (SAIF)
- Responsible AI principles: privacy, bias and fairness, accountability, and explainability
Exam Preparation
- Sample questions and comprehensive domain reviews
- Complete mock exam with answer analysis
- Structured study plan and exam-day tactics
Summary and Next Steps
Requirements
Prerequisites
- Technical prerequisites are not mandatory
- A basic understanding of business technology is beneficial
Target Audience
- Executives, managers, and key decision-makers
- Business professionals across various roles seeking to adopt generative AI
- Individuals preparing for the Google Cloud Generative AI Leader certification
Testimonials (1)
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