[New] The Ultimate Generative Ai Leader Cert. Training
Published 6/2025
Created by Vladimir Raykov
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 86 Lectures ( 6h 16m ) | Size: 3.1 GB
Master The Google Cloud Generative AI Leader Exam & Pass On Your First Attempt | 2 Practice
Exams + 160 Quiz Questions
What you'll learn
Comprehensive Preparation For The Google Cloud Generative AI Leader Exam: 6h High-Quality Video Content + A Total Of 260 Questions & Explanations.
Differentiate between Artificial Intelligence, Machine Learning, and Deep Learning.
Identify different data types used in Machine Learning and evaluate data quality requirements for successful projects
Explore the applications of Computer Vision and Natural Language Processing (NLP).
Learn the key steps involved in the Machine Learning process.
Distinguish and apply the main types of Machine Learning: Supervised, Unsupervised, Reinforcement, and Semi-Supervised Learning.
Map out the entire Machine Learning lifecycle including development, deployment, and maintenance phases
Assess data accessibility and quality issues that can impact Machine Learning project success
Explain how machine learning algorithms transform raw data into intelligent predictions and decisions
Map the current generative AI landscape and position Google's foundation models within the competitive ecosystem
Evaluate Gemini's multimodal capabilities for text, code, and reasoning tasks across different business applications
Compare Gemma's lightweight architecture with larger models and determine when efficiency trumps raw power
Analyze Imagen's text-to-image generation capabilities and assess its potential for creative and commercial projects
Select the most appropriate Google foundation model based on specific project requirements and constraints
Analyze Google's AI-first strategy and explain how it creates competitive advantages in the cloud computing market
Evaluate Google Cloud's enterprise-ready AI features including security, privacy, reliability, and scalability measures
Examine Google Cloud's Hypercomputer architecture, TPUs, and GPUs to understand their role in powering generative AI workloads
Determine the key factors that make Google Cloud suitable for scaling enterprise AI initiatives
Navigate Gemini App subscription tiers and select the right plan for personal or business needs
Understand Vertex AI Search and Google Search solutions in business applications
Discover Google Agentspace capabilities and recognize its applications across different industries
Explore how Gemini AI enhances Gmail, Docs, and Sheets for improved productivity
Understand conversational agents and customer service tools that improve engagement
Identify which prebuilt Google AI solutions best fit specific workflow challenges
Learn about RAG and grounding techniques that improve AI response accuracy and contextual relevance
Understand Vertex AI Platform's unified approach to the complete AI development lifecycle from training to deployment
Understand Vertex AI Agent Builder's capabilities for creating autonomous AI agents that handle multi-step tasks
Discover how Google Cloud services and APIs provide foundational tools for building sophisticated agent systems
Learn how AI agents interact with external environments through extensions, functions, and data stores to perform real-world actions
Understand Google Cloud's solutions like grounding, RAG, and prompt engineering for building more reliable AI systems
Identify common foundation model limitations including hallucinations, bias, and knowledge cutoffs that impact AI performance
Learn how continuous monitoring and evaluation using Vertex AI ensures robust, production-ready AI applications
Understand the fundamental principles of prompt engineering that combine creativity with systematic approaches for optimal LLM performance
Learn essential prompting techniques including zero-shot, few-shot, and role-based prompting for different use cases
Discover advanced strategies like chain-of-thought reasoning and inference parameters that control AI model behavior and output quality
Identify different types of generative AI business solutions and understand how they address real-world organizational challenges
Learn the essential steps and considerations for systematically integrating generative AI into organizational workflows
Understand key decision factors including business requirements, technical constraints, and ROI measurement for successful AI implementation
Understand why security must be integrated throughout every stage of the machine learning lifecycle from development to deployment
Learn Google's Secure AI Framework (SAIF) and how it addresses unique security challenges in generative AI systems
Discover Google Cloud security tools including IAM, Security Command Center, and monitoring services for comprehensive AI protection
Understand why responsible AI practices including transparency and ethics are essential for sustainable business success and stakeholder trust
Learn about privacy considerations in generative AI and discover protective measures like data anonymization and pseudonymization techniques
Discover how data quality impacts bias and fairness, and understand strategies for building accountable and explainable AI systems
Requirements
No previous Artificial Intelligence or Cloud Computing knowledge or experience needed
Description
Welcome to The Ultimate Generative AI Leader Certification Training - your complete guide to passing the exam.My name is Vladimir, and I'll be your instructor. I'm a Certified Google Cloud Generative AI Leader, AWS AI Practitioner, Project Management Professional, Scrum Master, and Product Owner. I currently work as an Agile Product Manager in a software development company.I'm incredibly passionate about Generative AI because I believe it's not just technology, it's a revolutionary force that empowers us to innovate and solve real-world problems in ways we never thought possible.I've spent the last 10 years teaching online and have helped thousands of students earn their certifications. Now, I'm here to help you do the same with a comprehensive course that covers everything you need to know.By the end of the course, you will:Be well-prepared to take the official Google Cloud Generative AI Leader exam.Have a strong foundation in core AI, ML, and deep learning concepts - explained simply and clearly - And I've created over 200 slides with diagrams and images to make sure that is the case.Gain a deep understanding of Google Cloud's powerful Generative AI offerings, from foundation models like Gemini, Imagen, and Veo to specialized services like Vertex AI Search and Agent Builder.Master practical techniques such as prompt engineering, RAG, and fine-tuning, and learn how to apply responsible AI principles in real-world scenarios.As for the structure of the course, you will find:14 structured sections, aligned with the 4 exam Sections: Fundamentals of gen AI, Google Cloud's gen AI offerings, : Techniques to improve gen AI model outputAnd Business strategies for a successful Gen AI solutionOver 80 concise video lessons (approx. 6 hours total). Every video is scripted to ensure clear, concise delivery - no filler, no "umm" moments, and so onOver 160 practice questions with detailed explanations, included as quizzes at the end of each section2 full-length practice exams, each with 50 questions that mirror the real exam formatA downloadable 75-page PDF summary of key takeaways - perfect for last-minute revisionRegular updates based on the latest changes in Google Cloud GenAI offerings and exam contentThis course is designed for anyone looking to earn the Google Cloud Generative AI Leader certification and add it to their professional toolkit - no prior AI or cloud experience required. Whether you're aiming to understand how AI works in real-world business settings or preparing for your next role, this course will give you the knowledge and confidence to pass the exam.Perfect for business professionals, project managers, and anyone wanting to add AI leadership skills to their toolkit - no prior AI experience needed."By the end, you'll not only be prepared to pass the exam, you'll understand the concepts behind it.Ready to get started? Watch the preview videos-especially 'Roadmap to Success'-to see my strategy for helping you pass the exam and truly understand the material.Click enroll, and let's start your Generative AI leader journey together. See you inside!
Who this course is for
Students who want to obtain the Google Cloud Generative AI Leader Certification
IT professionals
Business Analysts
Product and Project managers
Product Owners and Scrum Masters
IT support professionals
Marketing and sales professionals
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