This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer.

The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional.

The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together.

The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate.

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Spis treści

Journey to Become a Google Cloud Machine Learning Engineer. Build the mind and hand of a Google Certified ML professional Audiobook -- spis treści

• 1. Dedication And Contributors
• 2. Preface
• 3. Chapter 1: Comprehending Google Cloud Services
• 4. Chapter 2: Mastering Python Programming
• 5. Chapter 3: Preparing for ML Development
• 6. Chapter 4: Developing and Deploying ML Models
• 7. Chapter 5: Understanding Neural Networks and Deep Learning
• 8. Chapter 6: Learning BQ or BQML, TensorFlow, and Keras
• 9. Chapter 7: Exploring Google Cloud Vertex AI
• 10. Chapter 8: Discovering Google Cloud ML API
• 11. Chapter 9: Using Google Cloud ML Best Practices
• 12. Chapter 10: Achieving the GCP ML Certification
• 13. Closing Credits