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Inicio / Cursos / Google Cloud Generative AI Leader Full Course 2026
Impartido por Manish PatelPago único de $2,800 MXN · acceso por 12 meses

Google Cloud Generative AI Leader Full Course 2026

Pass Google Cloud Generative AI Leader Certification Exam in First Attempt | Learn Vertex AI, Prompt Engineering Basics

Certificado oficial emitido por la SEPA través del Gobierno del Estado de México
12 meses de acceso En línea · 45 h 9 unidades
Qué aprenderás

Lo que serás capaz de hacer

This course is meticulously designed to provide complete alignment with the official Google Cloud Generative AI Leader Exam Guide , ensuring that learners are equipped with both the knowledge and confidence to succeed on exam day. The certification exam consists of 50 to 60 multiple-choice questions to be completed within 90 minutes , testing both conceptual understanding and strategic application of Generative AI principles within the Google Cloud ecosystem. Whether you're a business leader, product manager, strategist, or technical advisor, this course provides clear, actionable, and exam-relevant training for you to thrive as a certified Generative AI Leader . Comprehensive Coverage of All Exam Domains Each module in this course is designed to mirror the structure and domain weightage of the official exam. This ensures your study time is spent wisely, focusing on the areas that matter most. Google Cloud Generative AI Leader Exam Domains & Weightage: Fundamentals of Generative AI – 30% Understand the core principles of Generative AI, including foundation models , training data , inference , prompt engineering , and responsible AI practices. Google Cloud’s Generative AI Offerings – 35% Explore Google Cloud’s Gen AI tools and platforms such as Vertex AI , Gemini models , and Agent Builder . Learn how to choose the right tools for various business and technical needs. Techniques to Improve Gen AI Model Output – 20% Learn best practices for prompt design , fine-tuning , and evaluation of model performance. Understand how to optimize accuracy, reduce bias , and avoid hallucinations . Business Strategies for a Successful Gen AI Solution – 15% Apply your knowledge to real-world enterprise scenarios , including AI strategy , governance , ethical deployment , cross-functional collaboration , and value realization . Each of these sections is richly detailed , explained in simple language, and reinforced through quizzes , case studies , and interactive exercises . Scenario-Based Learning & Strategic Thinking The Google Cloud Generative AI Leader exam is not a technical coding exam . It is geared towards leaders and decision-makers who must evaluate AI solutions, guide responsible deployment, and drive value at scale. This course includes numerous scenario-based questions , reflecting the real exam structure . You’ll practice answering questions that ask you to: Choose the best AI tool for a business objective Identify potential ethical risks in an AI implementation Recommend deployment strategies for cross-functional teams Optimize prompt inputs for better model outputs These realistic business cases help you develop the critical thinking needed to pass the exam and apply your skills in real-world settings. Each question is followed by a thorough explanation that helps you understand the reasoning behind each correct and incorrect option. These tests are structured to closely replicate the actual exam’s difficulty and tone . Feedback from successful candidates highlights that many Udemy practice questions closely resemble the actual exam , making this resource invaluable for real-world preparation . Real-World Use Cases and Practical Insights While theory is important, real-world application is essential . This course goes beyond definitions and academic concepts to show you how Gen AI is being used in sectors such as: Healthcare – Diagnosing conditions using medical imaging and Gen AI chat agents for patient support Finance – Generating reports, analyzing transactions, or summarizing market data Retail – Personalizing product recommendations, automating customer support, or generating marketing content We provide practical examples , templates, and frameworks to translate Gen AI capabilities into enterprise-grade business outcomes . Ethical Considerations and Responsible AI Understanding how to deploy Generative AI responsibly is a critical skill for any leader. This course covers: AI governance frameworks Bias detection and mitigation strategies Data privacy and intellectual property concerns Model monitoring and human oversight We equip you with the knowledge to lead responsible AI adoption , aligned with best practices from Google Cloud’s Responsible AI guidelines .

  • Understand the core concepts of Generative AI, large language models (LLMs), and their real-world applications
  • Learn how to use Vertex AI, including Vertex AI Studio, Agent Builder, Search, and Model Garden
  • Explore Google’s foundation models such as PaLM and Gemini, and how to choose the right model for your use case
  • Master prompt engineering techniques: zero-shot, few-shot, chain-of-thought, and grounding strategies
  • Identify and evaluate GenAI use cases for business, such as content generation, summarization, classification, and personalization
  • Apply ethical and responsible AI practices based on Google’s Secure AI Framework (SAIF)

Temario

UNIDAD 1 - Introduction to the Generative AI Leader Role and Google Cloud Certification · 8 lecciones

UNIDAD 1 - Introduction to the Generative AI Leader Role and Google Cloud Certification

  • Welcome to the Google Cloud Generative AI Leader Certification CourseLectura · 0 min
  • Welcome to the Generative AI Leader Certification CourseVideo · 1 min
  • Course Introduction & Exam OverviewVideo · 4 min
  • What Is a Generative AI Leader?Video · 3 min
  • Setting Up Your Learning EnvironmentVideo · 7 min
  • Case Study: The Business Value of Gen AIVideo · 4 min
  • Demonstrating the Strategic and Business Value of Generative AI LeadershipProyecto · 0 min
  • Quiz: Foundations of the Generative AI Leader JourneyCuestionario · 0 min
UNIDAD 2 - Domain 1 – Fundamentals of Generative AI · 15 lecciones

UNIDAD 2 - Domain 1 – Fundamentals of Generative AI

  • Introduction to Generative AIVideo · 4 min
  • Business Clarity: Explaining Generative AI to Non-Technical ExecutivesProyecto · 0 min
  • Core Concepts: Tokens, Embeddings, and AttentionVideo · 4 min
  • Foundation Models and Model FamiliesVideo · 4 min
  • Model Parameters and Hyperparameters ExplainedVideo · 4 min
  • Prompt Engineering: The Essential SkillVideo · 4 min
  • Generative AI Architectures ExplainedVideo · 3 min
  • Generative AI for Text and CodeVideo · 3 min
  • Generative AI for Images and VideoVideo · 3 min
  • Generative AI for Structured DataVideo · 3 min
  • The Generative AI LifecycleVideo · 3 min
  • The Role of Data in Generative AIVideo · 4 min
  • Generative AI and the CloudVideo · 3 min
  • Quiz: Fundamentals of Generative AICuestionario · 0 min
  • Explaining Generative AI's Business Value to a Skeptical ExecutiveProyecto · 0 min
UNIDAD 3 - Section 2A: Foundational Reinforcement (Optional but Exam-Critical) · 4 lecciones

UNIDAD 3 - Section 2A: Foundational Reinforcement (Optional but Exam-Critical)

  • Prompt Engineering, Diffusion Models, and Multimodal AIVideo · 2 min
  • Supervised, Unsupervised, and Reinforcement LearningVideo · 2 min
  • Stages of the ML Lifecycle: From Ingestion to ManagementVideo · 2 min
  • Labeled vs Unlabeled Data with Business ExamplesVideo · 2 min
UNIDAD 4 - Domain 2 – Google Cloud Generative AI Offerings · 28 lecciones

UNIDAD 4 - Domain 2 – Google Cloud Generative AI Offerings

  • Overview of the Vertex AI PlatformVideo · 3 min
  • Exploring the Vertex AI Model GardenVideo · 3 min
  • Using the Vertex AI WorkbenchVideo · 3 min
  • Understanding Vertex AI EndpointsVideo · 3 min
  • Introduction to Vertex AI PipelinesVideo · 3 min
  • Responsible AI on Google CloudVideo · 3 min
  • Managing Data with BigQuery and Cloud StorageVideo · 3 min
  • Understanding the Gemini APIVideo · 3 min
  • Customizing Models with Fine-TuningVideo · 3 min
  • Customizing Models with Prompt TuningVideo · 3 min
  • Customizing Models with LoRAVideo · 3 min
  • Vertex AI Search and ConversationVideo · 3 min
  • Using the Generative AI StudioVideo · 3 min
  • Advanced Prompt Engineering on Vertex AIVideo · 3 min
  • Deploying Models with Vertex AI EndpointsVideo · 3 min
  • Managing the MLOps Lifecycle with PipelinesVideo · 3 min
  • Managing Model Artifacts with Vertex AI MetadataVideo · 3 min
  • Monitoring Model Performance with Vertex AI MonitoringVideo · 3 min
  • Security and Access Control with IAMVideo · 3 min
  • Cost Management and OptimizationVideo · 3 min
  • Integrating Generative AI with Google WorkspaceVideo · 3 min
  • Integrating with Third-Party ToolsVideo · 3 min
  • Vector Search in Vertex AIVideo · 3 min
  • Data Preparation for Fine-TuningVideo · 3 min
  • Evaluating Generative AI ModelsVideo · 3 min
  • The Future of Vertex AI and Generative AIVideo · 3 min
  • Domain 2 Quiz: Google Cloud Generative AI & Vertex AI FundamentalsCuestionario · 0 min
  • Defending a Google Cloud Generative AI Architecture to a Concerned ExecutiveProyecto · 0 min
UNIDAD 5 - Section 4A: Platform & Architecture Deep Dives · 4 lecciones

UNIDAD 5 - Section 4A: Platform & Architecture Deep Dives

  • Infrastructure, Models, Platforms, Agents, and ApplicationsVideo · 2 min
  • Gemini, Gemma, Imagen, and Veo – Strengths and Use CasesVideo · 2 min
  • RAG APIs and Prebuilt Retrieval-Augmented GenerationVideo · 2 min
  • Agent Builder and Low-Code AI WorkflowsVideo · 2 min
UNIDAD 6 - Domain 3: Techniques to Improve Generative AI Model Output · 20 lecciones

UNIDAD 6 - Domain 3: Techniques to Improve Generative AI Model Output

  • The Prompt Engineering HierarchyVideo · 3 min
  • Advanced Prompting: Chain-of-Thought and RAGVideo · 3 min
  • Prompting vs. Fine-Tuning: Key Trade-offsVideo · 3 min
  • Data Preparation for Fine-TuningVideo · 3 min
  • Fine-Tuning Models on Vertex AIVideo · 2 min
  • Understanding LoRA and Prompt TuningVideo · 3 min
  • Retrieval-Augmented Generation (RAG) Deep DiveVideo · 3 min
  • Data Augmentation TechniquesVideo · 3 min
  • Advanced Evaluation TechniquesVideo · 3 min
  • Managing Safety and Security in PromptsVideo · 3 min
  • Prompting for Code Generation and ReviewVideo · 3 min
  • Prompting for Structured Data OutputVideo · 3 min
  • Managing Context and Conversation HistoryVideo · 3 min
  • Evaluating Model Performance and DriftVideo · 3 min
  • Human-in-the-Loop (HITL) StrategiesVideo · 3 min
  • Adversarial Testing and Red TeamingVideo · 3 min
  • Managing Bias and FairnessVideo · 3 min
  • Conclusion of Domain 3Video · 2 min
  • Quiz: Techniques to Improve Generative AI OutputCuestionario · 0 min
  • Justifying Prompting-First Strategy to Fix Model Output IssuesProyecto · 0 min
UNIDAD 7 - Domain 4: Business Strategies for Generative AI Success · 13 lecciones

UNIDAD 7 - Domain 4: Business Strategies for Generative AI Success

  • Identifying High-Value Generative AI Use CasesVideo · 3 min
  • Calculating Return on Investment (ROI) for Gen AIVideo · 3 min
  • Managing Organizational Change and AdoptionVideo · 2 min
  • Navigating the Ethical and Legal LandscapeVideo · 3 min
  • Establishing an AI Governance FrameworkVideo · 2 min
  • Building a Generative AI Center of Excellence (CoE)Video · 3 min
  • Managing the AI Talent PipelineVideo · 3 min
  • Measuring and Communicating Business ImpactVideo · 2 min
  • The Role of the Generative AI LeaderVideo · 2 min
  • Future Trends and Staying Current in Gen AIVideo · 3 min
  • Quiz - Strategic Deployment & Responsible AI in the EnterpriseCuestionario · 0 min
  • Presenting a GenAI Strategy to Address Executive ConcernsProyecto · 0 min
  • Quiz: Business Strategies for Generative AI SuccessCuestionario · 0 min
UNIDAD 8 - Section 7A: Strategic Governance & Trust Essentials · 2 lecciones

UNIDAD 8 - Section 7A: Strategic Governance & Trust Essentials

  • Data Privacy, Governance, and Model Control OptionsVideo · 1 min
  • Data Quality and Accessibility: Why It MattersVideo · 2 min
UNIDAD 9 - Final Exam Prep and Leadership Readiness · 6 lecciones

UNIDAD 9 - Final Exam Prep and Leadership Readiness

  • Final Words and Certification StrategyVideo · 2 min
  • Preparing for the Generative AI Leader Certification ExamVideo · 2 min
  • Common Mistakes and Time Management TipsVideo · 3 min
  • Course Conclusion and Next StepsVideo · 2 min
  • Google Cloud Generative AI Leader Practice Test 1Cuestionario · 1 h 30 min
  • Google Cloud Generative AI Leader Practice Test 2Cuestionario · 1 h 30 min
Certificado oficial

Tu certificado lo emite la SEP, no solo una plataforma

Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.

Tu certificado con INEC

  • Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
  • Documento oficial con folio verificable en línea
  • Lo otorga la Universidad Tecnológica Fidel Velázquez

Otras plataformas en línea

  • Constancia privada emitida por la misma plataforma
  • Solo acredita horas cursadas o asistencia
  • Sin respaldo de una autoridad educativa
Cómo funciona

Tu itinerario, de la inscripción al certificado

  1. 1

    Inscripción con pago único

    Pagas $2,800 MXN una sola vez y entras de inmediato al curso.

  2. 2

    Estudias a tu ritmo

    9 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.

  3. 3

    Cuestionarios por unidad

    8 cuestionarios para comprobar lo aprendido.

  4. 4

    Certificado

    Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.

Lo que obtienes

Un certificado oficial de la SEP

Muestra del certificado: Google Cloud Generative AI Leader Full Course 2026

Muestra · verificable por folio y QR

  • Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
  • Contenido impartido por Manish Patel.
  • Folio y QR verificables para compartirlo con quien te contrate.
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Pago único

Empieza hoy, a tu ritmo

Un solo pago y acceso inmediato al curso completo durante 12 meses.

  • 9 unidades · 100 lecciones · 45 h
  • 12 meses de acceso
  • 8 cuestionarios de evaluación
  • Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Pago único
$2,800MXN
Acceso por 12 meses
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Sobre tu inscripción

¿Cómo es el pago?

Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.

¿Cuánto tiempo tengo acceso?

12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.

¿Quién imparte el contenido?

El curso es impartido por Manish Patel; INEC gestiona tu inscripción, evaluación y certificado.

¿Qué pasa cuando vence mi acceso?

Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.

Certificado emitido por la SEP a través del Gobierno del Estado de México · Google Cloud Generative AI Leader Full Course 2026

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