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Course Outline
Introduction
- The Generative AI Leader certification: value and audience
- Exam format, domains and weightings, and how to prepare
Fundamentals of Gen AI (~30%)
- Core gen AI concepts and use cases (AI, ML, LLMs, foundation models, multimodal and diffusion models, prompt engineering)
- Machine learning approaches (supervised, unsupervised, reinforcement) and the ML lifecycle
- Foundation model selection criteria (modality, context window, cost, performance, customization)
- Data types and data 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)
- Prebuilt offerings: Gemini app and Gemini Advanced, Gemini for Google Workspace, Gemini Enterprise
- Customer experience: Customer Engagement Suite (Conversational Agents, Agent Assist, Conversational Insights)
- Developer enablement: Vertex AI / Agent Platform, Model Garden, and RAG offerings
- Gen AI agent tooling (extensions, functions, data stores) and relevant Google Cloud services
Techniques to Improve Gen AI Model Output (~20%)
- Overcoming foundation model limitations (knowledge cutoff, bias, hallucinations, edge cases)
- Prompt engineering techniques (zero-shot, one-shot, few-shot, role, prompt chaining, chain-of-thought, ReAct)
- Grounding and Retrieval-Augmented Generation (RAG)
- Sampling parameters for controlling output (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 answer analysis
- Study plan and exam-day strategy
Summary and Next Steps
Requirements
Prerequisites
- No technical prerequisites required
- General familiarity with business technology is beneficial
Audience
- Leaders, managers, and decision-makers
- Business professionals in any role adopting generative AI
- Anyone preparing for the Google Cloud Generative AI Leader certification
14 Hours
Testimonials (1)
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