Google Cloud Generative AI Leader Certification (2025 Update) | Real Exam Questions & Study Review скачать в хорошем качестве

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 🔔 Subscribe for more AI, ML & Cloud exam prep videos 👍 Like if this helped you prepare 💬 Comment your exam goal (AI-900, AI-102, AIF-C01) and I’ll reply with 3 bonus questions 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. #GoogleCloudExam #GenerativeAI #VertexAI #AIcertification #BirdsyAI