[New] The Ultimate Generative AI Leader Cert. Training

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 output

And Business strategies for a successful Gen AI solution

Over 80 concise video lessons (approx. 6 hours total). Every video is scripted to ensure clear, concise delivery — no filler, no “umm” moments, and so on

Over 160 practice questions with detailed explanations, included as quizzes at the end of each section

2 full-length practice exams, each with 50 questions that mirror the real exam format

A downloadable 75-page PDF summary of key takeaways — perfect for last-minute revision

Regular updates based on the latest changes in Google Cloud GenAI offerings and exam content

This 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
More Info