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Course Outline

Introduction

  • The Generative AI Leader certification: value and audience.
  • Exam format, domains and weightings, and preparation strategies.

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 are required.
  • A general understanding of business technology is beneficial.

Target Audience

  • Leaders, managers, and decision-makers.
  • Business professionals in any role looking to adopt generative AI.
  • Individuals preparing for the Google Cloud Generative AI Leader certification.
 14 Hours

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