[NEW] Google Cloud Generative AI Leader Full Course 2026

Category: Other
Type: Tutorials
Language: English
Total Size: 684.5 MB
Uploaded By: freecoursewb
Downloads: 44634
Last checked: Dec. 22nd '25
Date uploaded: Dec. 22nd '25
Seeders: 25377
Leechers: 8832
MAGNET DOWNLOAD
INFO HASH: 6CCB727320C2ABF9C532E6A056EE8CF21E17639A

[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 Google’s 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 Cloud’s 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 Google’s 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 join—even 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 park—you’ll 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 – 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 50–60 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, 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 – 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 – 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 – 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 – 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 – 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 contentYou’ll 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 Cloud’s 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.