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Course Outline
Introduction
- The Generative AI Leader certification: value proposition and target audience.
- Exam format, domains and weightings, and preparation strategies.
Fundamentals of Generative AI (~30%)
- Core generative 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.
- Fundamental model selection criteria (modality, context window, cost, performance, customization).
- Data types and data quality in generative AI (structured vs unstructured, labeled vs unlabeled).
- The generative AI landscape layers and Google's foundation models (Gemini, Gemma, Imagen, Veo).
Google Cloud's Generative AI Offerings (~35%)
- Google Cloud's generative AI strengths and AI-optimized infrastructure (TPUs, GPUs, hypercomputer).
- Prebuilt offerings: 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: Vertex AI / Agent Platform, Model Garden, and RAG offerings.
- Generative AI agent tooling (extensions, functions, data stores) and relevant Google Cloud services.
Techniques to Improve Generative AI Model Output (~20%)
- Overcoming foundation model limitations (knowledge cutoff, bias, hallucinations, edge cases).
- Prompt engineering techniques (zero-shot, one-shot, few-shot, role-based, 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 Generative AI Solutions (~15%)
- Implementation steps and solution selection methodology.
- Secure AI practices 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 familiarity with business technology is beneficial.
Audience
- Leaders, managers, and decision-makers.
- Business professionals in any role who are adopting generative AI.
- Anyone preparing for the Google Cloud Generative AI Leader certification.
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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