Machine Learning and TensorFlow on the Google Cloud
Build, train, and deploy ML models with TensorFlow: A hands-on journey through Google Cloud's powerful infrastructure
Tailored for data scientists, developers, and cloud enthusiasts, this program offers a comprehensive exploration of building and deploying machine learning models using TensorFlow on the robust infrastructure of Google Cloud.
What You Will Learn:
- Introduction to Google Cloud Platform (GCP):
- Gain a foundational understanding of the Google Cloud Platform and its suite of tools for machine learning.
- Explore GCP services like BigQuery, Cloud Storage, and AI Platform that are integral to the machine learning workflow.
- Setting Up TensorFlow on GCP:
- Learn how to set up and configure TensorFlow on the Google Cloud environment.
- Explore the integration of TensorFlow with GCP services for seamless model development.
- Building Machine Learning Models with TensorFlow:
- Dive into the fundamentals of TensorFlow for building and training machine learning models.
- Explore deep learning concepts, neural networks, and advanced TensorFlow functionalities.
- Using Google Cloud AI Platform:
- Understand the capabilities of Google Cloud AI Platform for model deployment and management.
- Learn how to deploy TensorFlow models on AI Platform for scalable and efficient serving.
- Data Preparation and Integration:
- Explore techniques for data preparation and integration with Google Cloud services.
- Understand how to leverage BigQuery for analyzing large datasets and integrating them into machine learning pipelines.
- TensorFlow Extended (TFX):
- Learn about TensorFlow Extended, a comprehensive end-to-end platform for deploying production-ready machine learning models.
- Understand the process of taking a model from development to deployment in a production environment.
- Real-world Projects and Applications:
- Apply your knowledge through hands-on projects and real-world applications.
- Gain practical experience in building, training, and deploying machine learning models on Google Cloud.
The content is well-structured, progressing from fundamental concepts to advanced topics seamlessly. The instructors provide clear explanations and practical examples, making complex concepts accessible. The emphasis on real-world projects allowed me to apply what I learned in a practical context. This course has significantly enhanced my ability to leverage the power of Google Cloud for machine learning
— Jennifer
The instructors guide you through the intricacies of TensorFlow on the Google Cloud Platform with clarity and depth. The hands-on projects are challenging but immensely rewarding, providing practical experience in deploying models at scale. The real-world applications covered in the course gave me confidence in implementing machine learning solutions in a production environment. Highly recommended for data scientists and developers exploring the capabilities of Google Cloud for machine learning.
— Daniel
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