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Course Outline
Introduction
- The Generative AI Leader certification: value proposition and target audience
- Exam structure, domains, weighting, and preparation strategies
Fundamentals of Gen AI (~30%)
- Core gen 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 potential)
- Data types and quality in gen AI (structured vs. unstructured, labeled vs. unlabeled)
- The gen AI landscape layers and Google's foundation models (Gemini, Gemma, Imagen, Veo)
Google Cloud's Gen AI Offerings (~35%)
- Google Cloud's gen AI strengths and AI-optimized infrastructure (TPUs, GPUs, hypercomputer)
- Pre-built solutions: Gemini app and Gemini Advanced, Gemini for Google Workspace, Gemini Enterprise
- Customer experience solutions: Customer Engagement Suite (Conversational Agents, Agent Assist, Conversational Insights)
- Developer enablement tools: Vertex AI / Agent Platform, Model Garden, and RAG offerings
- Gen AI agent tooling (extensions, functions, data stores) and associated Google Cloud services
Techniques to Improve Gen AI Model Output (~20%)
- Addressing foundation model limitations (knowledge cutoffs, bias, hallucinations, edge cases)
- Prompt engineering techniques (zero-shot, one-shot, few-shot, role-playing, 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 Successful Gen AI Solutions (~15%)
- Implementation steps and solution selection methodology
- Secure AI and Google's Secure AI Framework (SAIF)
- Responsible AI: privacy, bias and fairness, accountability, and explainability
Exam Preparation
- Sample questions and domain-by-domain review
- Full mock exam and detailed answer analysis
- Study plan and exam-day strategy
Summary and Next Steps
Requirements
Prerequisites
- No technical background required
- A general understanding of business technology is advantageous
Target Audience
- Leaders, managers, and decision-makers
- Business professionals from any function adopting generative AI
- Individuals preparing for the Google Cloud Generative AI Leader certification
14 Hours
Testimonials (1)
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