[NEW] Google Cloud Generative AI Leader Full Course 2026
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[NEW] Google Cloud Generative AI Leader Full Course 2026
https://WebToolTip.com
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 49m | Size: 685 MB
Learn Generative AI on Google Cloud and Achieve the Google Cloud Generative AI Leader Certification
What you'll learn
Learn Googleâs foundation models and tools, including Gemini, Vertex AI, and Model Garden, for building and deploying GenAI solutions.
Understand responsible AI principles, data governance, security, and ethical deployment of generative models in organizations.
Evaluate GenAI use cases, assess cost and ROI, and define success metrics to guide enterprise-level AI adoption and strategy.
Learn generative AI, LLMs, machine learning, and deep learning fundamentals with real-world applications.
Explore Google Cloudâs AI-first strategy, Vertex AI, Gemini, Agent Builder, Model Garden, and Workspace AI tools.
Master prompt engineering: zero-shot, few-shot, chain-of-thought, grounding, and optimization techniques.
Understand foundation models like PaLM and Gemini and learn how to select the right model for each use case.
Identify and evaluate GenAI use cases: content creation, summarization, classification, and personalization.
Apply responsible AI and Googleâs Secure AI Framework for safe, ethical, and well-governed AI adoption.
Prepare for the GenAI Leader exam with design strategies, hands-on practice, sample questions, and exam-style quizzes.
Requirements
Beginner-friendly: No prior Google Cloud or AI background needed. We start from fundamentals, and anyone can joinâeven with zero experience.
Optional but helpful: Basic cloud or development knowledge is useful, and a free Google Cloud account is recommended for hands-on practice with Vertex AI.
The journey to becoming a Google Cloud Certified Generative AI Leader is not a walk in the parkâyouâll need patience, consistency, and strong dedication
Description
This course contains the use of artificial intelligence to make the learning experience make great.Become a Google Cloud Generative AI Leader â Master the Certification ExamThis comprehensive course is meticulously designed to provide full alignment with the official Google Cloud Generative AI Leader Exam Guide, equipping learners with the knowledge, hands-on skills, and confidence to succeed on exam day. The certification exam consists of 50â60 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 youâre a business leader, product manager, AI strategist, or technical advisor, this course provides actionable, exam-focused training to help you thrive as a certified Generative AI Leader.Course Domains & WeightageEach module is designed to mirror the official exam structure, ensuring your study time is spent wisely on areas that matter most.Core AI & Generative AI Concepts â 20%Understand AI fundamentals, differences between AI vs Generative AI, NLP, supervised vs unsupervised learning, ML models, features, inference, foundational and large language models (LLMs), tokens, and prompt tuning techniques.Google Cloud Generative AI Platforms & Tools â 25%Explore the Google Cloud Gen AI ecosystem, including Vertex AI Studio (Chat, Image, Video, Music, Speech, Live), Model Garden, Gemini models, MultiModal AI, Engagement Suite, Agentspace, NotebookLM, and Gemini integrations with Workspaces.Search, Grounding & Retrieval Techniques â 15%Learn Vertex AI Search, RAG engine, and grounding strategies using Google Search, Google Maps, and enterprise data for improved model outputs.Techniques to Optimize Generative AI Outputs â 20%Master prompt engineering, fine-tuning LLMs, model evaluation, human-in-the-loop monitoring, responsible AI practices, SAIF framework, bias mitigation, hallucination reduction, and performance optimization.Business Strategy, Deployment & Use Cases â 20%Apply Generative AI in enterprises using Agent Builder, Conversational Agents, CCAI, and Engagement tools. Cover AI strategy, ethical deployment, governance, cross-functional collaboration, success metrics, and measurable business impact.Hands-On Scenario-Based Learning & 200+ Practice TestsThe Google Cloud Generative AI Leader exam is not a coding test; it is designed for AI leaders, business managers, and decision-makers who need to evaluate AI solutions, deploy them responsibly, and drive measurable business value.This course includes 200+ practice tests and realistic scenario-based exercises, including:Selecting the best Google Cloud Gen AI tool (Vertex AI, Gemini, Model Garden, Agent Builder) for business objectivesIdentifying ethical risks and compliance challenges in AI deploymentsRecommending cross-functional deployment strategiesOptimizing prompt engineering for accurate and scalable AI outputsEach scenario includes detailed explanations for correct and incorrect options, helping you develop the critical thinking, decision-making, and leadership skills required to excel in both the exam and real-world AI projects.Real-World Use Cases & Practical InsightsGenerative AI is transforming industries. This course nstrates practical applications of Gen AI on Google Cloud in sectors such as:Healthcare: AI-assisted diagnostics, medical imaging analysis, and chat agents for patient supportFinance: Automated report generation, transaction analysis, and market insights using LLMsRetail: Personalized product recommendations, AI-powered customer support, and automated marketing contentYouâll gain access to templates, frameworks, and practical examples to translate Google Cloud Generative AI capabilities into enterprise-grade AI solutions.By the end of this course, you will have the knowledge, practical experience, and strategic insights to lead responsible AI adoption, build scalable Gen AI solutions, and pass the Google Cloud Generative AI Leader certification exam with confidence.
Who this course is for
Aspiring AI Leaders: Professionals aiming to lead AI-driven initiatives and earn the Google Cloud Generative AI Leader certification.
Business Managers & Executives: Leaders looking to integrate AI into strategy, boost efficiency, and drive innovation.
Technology Professionals: Cloud architects, data engineers, and AI engineers exploring Google Cloudâs AI tools and solutions.
AI Enthusiasts: Individuals passionate about generative AI, machine learning, and cloud technologies who want to deepen their knowledge.
Data Analysts & Technical Learners: Those seeking to expand their skills in AI, data analysis, and applied cloud technologies.
Teams & Organizations: Groups wanting practical insights into AI adoption, implementation, and real-world use cases.
Files:
[ WebToolTip.com ] [NEW] Google Cloud Generative AI Leader Full Course 2026- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction
- 1. Your Mentor for the Gen AI Leader Certification.html (1.0 KB)
- 2. What Is Artificial Intelligence A Clear and Practical Introduction.mp4 (18.4 MB)
- 3. AI vs Generative AI Understanding Key Differences and Applications.mp4 (34.4 MB)
- 10. How Tokens and Embeddings Power AI Text and Knowledge Processing.mp4 (31.9 MB)
- 11. Prompt Tuning for AI Mastering Effective Instructions for LLMs.mp4 (24.3 MB)
- 12. Zero-Shot Prompting Techniques to Unlock LLM Potential.mp4 (19.2 MB)
- 13. Few-Shot Prompting Techniques to Unlock LLM Potential.mp4 (28.7 MB)
- 14. AI Prompt Chaining Techniques for Complex Task Automation.mp4 (19.4 MB)
- 15. Data Types Demystified Structured, Semi-Structured & Unstructured Data.mp4 (20.1 MB)
- 16. CPU, GPU & TPU Understanding AI & Cloud Computing Hardware.mp4 (327.2 MB)
- 4. Natural Language Processing (NLP) Fundamentals, Applications & Insights.mp4 (28.2 MB)
- 5. Understanding Supervised and Unsupervised Learning in AI.mp4 (40.7 MB)
- 6. Understanding Machine Learning Models.mp4 (17.6 MB)
- 7. Feature Engineering in Machine Learning Transform Data into Insights.mp4 (36.5 MB)
- 8. Machine Learning Inference Explained From Model to Real-World Predictions.mp4 (5.8 MB)
- 9. Understanding Large Language Models The Backbone of Generative AI.mp4 (32.1 MB)
- Bonus Resources.txt (0.1 KB)
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