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Vertex AI Crash Course: A Fast-Track Guide to Multimodal Ai, Gemini Models, Agentic Workflows, and Production-Ready ML on Google Cloud
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Publisher: Independently Published
Published: Dec 16 2025
Pages: 208
Weight: 0.54
Height: 0.44 Width: 5.50 Depth: 8.50
Language: English
A Fast-Track Guide to Multimodal AI, Gemini Models, Agentic Workflows, and Production-Ready ML on Google Cloud
Vertex AI Crash Course is the definitive, hands-on guide for developers, AI engineers, and data scientists who want to move beyond theory and build real, production-ready AI systems on Google Cloud.
As artificial intelligence rapidly shifts toward multimodal models, large language models, and agentic systems, Vertex AI has become the central platform for deploying modern machine learning and generative AI at scale. This book cuts through the noise and shows you exactly how to use Vertex AI to design, build, deploy, and operate intelligent systems that work in the real world.
Written by seasoned AI engineer Freddie Becka, this crash course focuses on practical execution, modern architectures, and production best practices rather than academic abstractions or toy examples.
What You Will Learn
In this book, you will learn how to:
Build and deploy machine learning models using Vertex AI AutoML and custom training workflows
Work with Gemini models for text, vision, and multimodal reasoning
Design agentic AI systems that plan, reason, and act using modern orchestration patterns
Implement retrieval-augmented generation (RAG) with embeddings and vector search
Develop scalable multimodal AI applications that combine text, images, and structured data
Create end-to-end ML and GenAI pipelines, from data ingestion to deployment and monitoring
Apply MLOps best practices including model versioning, CI/CD, monitoring, and retraining
Optimize cost, performance, and reliability for production workloads on Google Cloud
Understand architectural trade-offs between AutoML, custom models, and LLM-based solutions
Each concept is explained clearly, then reinforced with real-world Python implementations, detailed engineering commentary, and practical guidance drawn from production experience.
Who This Book Is For
This book is ideal for:
Software developers transitioning into AI and machine learning
Data scientists and ML engineers building systems on Google Cloud
AI engineers working with LLMs, multimodal models, and agentic workflows
Cloud architects and technical leads responsible for AI infrastructure
Advanced learners who want a fast but serious path to mastery
If you are tired of fragmented tutorials and want a single, coherent guide to modern AI development on Vertex AI, this book is for you.
Why This Book Is Different
Unlike many Vertex AI books that focus only on traditional machine learning, Vertex AI Crash Course reflects the current reality of AI development:
It integrates classical ML, generative AI, and agentic systems in one workflow
It emphasizes production readiness, not just experimentation
It is written for practitioners, not beginners or purely academic readers
It covers modern topics like Gemini, multimodal AI, RAG, and agents, which most existing books overlook
This is not just a tutorial. It is a field guide for building intelligent systems that scale.
Build Faster. Deploy Smarter. Scale with Confidence.
Whether you are deploying your first model or designing enterprise-grade AI platforms, Vertex AI Crash Course gives you the clarity, structure, and hands-on knowledge needed to succeed with modern AI on Google Cloud.
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