Google Cloud Generative AI Leader Certification (2025 Update) | Real Exam Questions & Study Review
Master the 2025 Google Cloud Generative AI Leader Certification exam with real, exam-style questions and a complete concept breakdown.
This video walks you through every topic tested on the Google Cloud Generative AI Leader certification—from foundation models and multimodal AI to Vertex AI, Gemini, Agent Builder, and responsible AI. You’ll learn how each component fits into Google’s generative AI ecosystem so you can pass the certification confidently and boost your AI career.
Birdsy is your personal, AI-assisted study partner—ready to answer questions, provide real-world examples, memory tools, and explanations that fit your learning style.
👉 Start free with Birdsy AI/ML/Cloud Prep: https://birdsy.ai/ai-certifications
🧭 *Why Watch*
✅ Covers 2025 exam updates & latest Google Cloud AI services
✅ Explains LLMs, multimodal models, prompting & agents
✅ Calls out common pitfalls & tricky exam concepts
✅ Uses real-world examples to lock in understanding
⏱️ *Timestamps (Chapters)*
00:00 – Introduction: Fundamentals of Generative AI
00:11 – Definitions & Concepts
02:58 – ML & AI Lifecycle
05:13 – Foundation Models & LLMs
07:57 – Multimodal Models
10:44 – Limitations & Risks
13:16 – Prompting Basics
15:25 – Agents & Tool Use
17:46 – Vertex AI & Model Platform
20:25 – Gemini & Google Models
22:39 – GCP Integration
24:54 – Agent Builder & Plugins
27:07 – Search, Retrieval & RAG Tools
29:45 – Ops & Infrastructure
31:54 – APIs & Prebuilt Services
34:18 – Advanced Prompt Engineering
36:58 – Fact-Checking
39:22 – Adaptation
41:45 – Human-in-the-Loop (HITL)
44:08 – Bias
46:42 – Evaluation & Metrics
49:06 – Use Case Identification
51:34 – Change Management & Adoption
53:47 – Governance, Ethics & Responsible AI
55:26 – Security, Privacy, Compliance
57:15 – ROI & KPIs
58:59 – Scaling & Cost Strategy
📚 *Topics Covered*
✓ Generative AI fundamentals, characteristics, and examples
✓ AI lifecycle (data → training → evaluation)
✓ Foundation models & LLMs
✓ Multimodal models
✓ Limitations & risks (privacy, bias, hallucination)
✓ Prompting basics & advanced techniques
✓ Agents & tool use
✓ Google Cloud offerings: Vertex AI, Gemini, AI Studio, Agent Builder, RAG tools
✓ Grounding, evaluation, HITL, governance, security, ROI & scaling
🔗 *Helpful Links*
🌐 Birdsy AI/ML/Cloud Exam Prep → https://birdsy.ai/ai-certifications
🌐 Google Cloud Certification Overview → https://cloud.google.com/certification
🌐 Vertex AI Documentation → https://cloud.google.com/vertex-ai/docs
📢 *Engage & Connect*
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ℹ️ *About Birdsy*
Birdsy is your personal AI-assisted study partner—adapting to how you learn best. From structured study plans to fun question reviews, Birdsy helps turn confusion into confidence.
⚠️ Educational use only. Certification details may change—verify with your official exam provider. Birdsy does not guarantee exam results.
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