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We're here to help you find itMachine Learning on Google Cloud Course Overview
The "Machine Learning on Google Cloud" course is a comprehensive training program designed for individuals looking to leverage Google Cloud's powerful tools for machine learning (ML) projects. It provides a deep dive into how Google implements ML, offering insights into creating a robust data strategy, recognizing biases, and utilizing Google Cloud Platform (GCP) tools effectively.
Google Cloud for machine learning is central to the curriculum, enabling learners to understand and apply Google's best practices and avoid common pitfalls. The course covers various aspects, from launching ML models and data manipulation with TensorFlow 2.x, to sophisticated feature engineering and the art of fine-tuning ML models.
Participants will gain hands-on experience with Google Cloud ML training, invoking pre-trained models, optimizing with hyperparameter tuning, and deploying scalable ML solutions. This course is designed to impart the skills necessary to excel in the rapidly evolving field of machine learning, using the robust infrastructure provided by Google Cloud.
Purchase This Course
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
The Machine Learning on Google Cloud course equips learners with hands-on ML skills using Google's cutting-edge tools and best practices.
Target audience for the Machine Learning on Google Cloud course includes:
This Machine Learning on Google Cloud course equips students with practical skills and insights for applying machine learning to solve real-world problems using Google Cloud's powerful tools and services.