Hands-On Machine Learning on Google Cloud: Master Vertex AI, AutoML, and Production-Ready ML from Beginner to Pro
English | October 13, 2025 | ASIN: B0FW28Z5L4 | 268 pages | EPUB (True) | 208.83 KB
English | October 13, 2025 | ASIN: B0FW28Z5L4 | 268 pages | EPUB (True) | 208.83 KB
Are you struggling to break into machine learning, overwhelmed by complex tools, endless coding hurdles, and the frustration of models that never make it to production? You're not alone—many aspiring AI builders waste months piecing together fragmented tutorials, only to hit dead ends with scalability and real-world application. Enter Hands-On Machine Learning on Google Cloud—your ultimate solution to mastering Google Cloud's powerful ecosystem and transforming ideas into impactful AI.
This book delivers actionable, step-by-step guidance to build, train, and deploy enterprise-grade AI models using Vertex AI, AutoML, and essential cloud tools. From beginners grappling with basics to professionals optimizing for enterprise scale, you'll gain practical mastery tackling real-world ML challenges like data pipelines, custom training, model deployment, and ethical AI implementation.
What You'll Master:
Accelerate Development with Vertex AI: Dive into no-code AutoML for tabular, image, and text data, then scale to custom neural networks—prototype and deploy faster than ever before.
Leverage Cloud Infrastructure at Scale: Learn distributed training on GPUs and TPUs, orchestrate pipelines with Docker and Kubeflow, and integrate BigQuery, Dataflow, and Pub/Sub for seamless data workflows.
Overcome Production Challenges: Address data imbalance, bias detection, and cost optimization with proven strategies to ensure your models deliver ethical, efficient results in live environments.
Build Enterprise-Grade Solutions: Explore hybrid cloud integrations, multi-region deployments, and MLOps best practices for creating resilient systems that drive measurable business impact.
Empower yourself with Master Vertex AI, AutoML, and Production-Ready ML from Beginner to Pro—no more theory overload, just results-driven techniques that work. Whether you're launching your first model or scaling AI across your organization, this practical guide gives you the tools to succeed.
Grab your copy today and start building AI solutions that solve real problems and deliver real value!