[100% Off] Google Cloud Generative Ai Leader: Hands-On Labs &Amp; Exam Prep
Become a certified Google Cloud Generative AI Leader with hands-on labs, practice exams, and real-world exercises.
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
Prepare to become a certified Google Cloud Generative AI Leader with a comprehensive, exam-aligned course designed for business leaders, product managers, AI strategists, and technical advisors. This program combines hands-on labs, scenario-based learning, and practice exams to help you confidently prepare for the Google Cloud Generative AI Leader certification exam.
Fully aligned with the official Google Cloud Generative AI Leader Exam Guide, this course equips you with the knowledge, practical understanding, and strategic mindset needed to succeed on exam day and lead real-world Generative AI initiatives using Google Cloud.
What You Will Learn (Exam Domains & Weightage)
Each 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, the difference between AI and Generative AI, NLP concepts, supervised vs unsupervised learning, machine learning models, inference, foundation models, large language models (LLMs), tokens, and prompt tuning techniques.
Google Cloud Generative AI Platforms & Tools (25%) Explore the Google Cloud Generative AI ecosystem, including Vertex AI Studio, Model Garden, Gemini models, Multimodal AI, Engagement Suite, Agentspace, NotebookLM, and Gemini integrations with Google Workspace.
Search, Grounding & Retrieval Techniques (15%) Learn Vertex AI Search, RAG engines, and grounding strategies using Google Search, Google Maps, and enterprise data to improve accuracy and reliability of Gen AI outputs.
Techniques to Optimize Generative AI Outputs (20%) Master prompt engineering, LLM fine-tuning, model evaluation, human-in-the-loop monitoring, responsible AI practices, the SAIF framework, bias mitigation, hallucination reduction, and performance optimization.
Business Strategy, Deployment & Use Cases (20%) Apply Generative AI in enterprise environments using Agent Builder, Conversational Agents, CCAI, and Engagement tools. Learn AI strategy, ethical deployment, governance, cross-functional collaboration, success metrics, and measurable business impact.
Hands-On Scenario-Based Learning & Practice Exams
The Google Cloud Generative AI Leader exam is not a coding exam. It is designed for leaders and decision-makers who must evaluate AI solutions, guide responsible deployment, and drive business value.
This course includes practice tests and realistic scenario-based exercises, such as:
Selecting the best Google Cloud Gen AI tool for business objectives.
Identifying ethical risks and compliance challenges.
Recommending cross-functional AI deployment strategies.
Optimizing prompt engineering for scalable and accurate outputs.
Each question includes detailed explanations for correct and incorrect answers, helping you build strong decision-making, leadership, and exam-ready reasoning skills. You’ll gain access to frameworks, templates, and practical examples to translate Google Cloud Generative AI capabilities into enterprise-grade solutions.
Who This Course Is For
Business leaders and managers
AI strategists and consultants
Product managers and technical advisors
Anyone preparing for the Google Cloud Generative AI Leader certification
Meet Your Instructor
With 15+ years of experience across cloud platforms, data engineering, machine learning, and enterprise AI, I bring real-world expertise into every lesson. This course simplifies advanced topics such as LLMs, RAG, vector databases, prompt engineering, and responsible AI into clear, structured learning designed specifically for leaders and decision-makers.
By the End of This Course
You will be fully prepared to:
Pass the Google Cloud Generative AI Leader certification exam with confidence.
Evaluate and recommend Generative AI solutions on Google Cloud.
Lead responsible AI adoption within your organization.
Design scalable, ethical, and business-focused Gen AI strategies.
Real-World Use Cases & Practical Insights
Generative AI is transforming industries. This course demonstrates practical applications of Gen AI on Google Cloud in sectors such as:
Healthcare: AI-assisted diagnostics, medical imaging analysis, and chat agents for patient support.
Finance: Automated report generation, transaction analysis, and market insights using LLMs.
Retail: Personalized product recommendations, AI-powered customer support, and automated marketing content.
Author(s): Addika Academy
