Machine Learning with TensorFlow on Google Cloud Training in Dubai

Learn TensorFlow on Google Cloud with hands-on, structured modules

Build real-world ML skills with practical projects and labs

Learn from industry experts with proven credentials

Gain a globally recognized certification to enhance your credibility

Enjoy flexible learning options that fit your schedule

Master scalable ML models using TensorFlow and Google Cloud

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3259 EnrolledEnrolled Learners

4.7/5

3259 EnrolledEnrolled Learners

Overview

What you will learn:

Master TensorFlow 2.x and Keras for machine learning model development
Train models on Google Cloud’s AI Platform for scalable solutions
Optimize models using loss functions, performance metrics, and hyperparameters
Implement feature engineering with BQML, TensorFlow, and Cloud Dataprep
Analyze and preprocess data with Cloud Dataflow and TensorFlow’s tf.data
Gain hands-on experience with real-world machine learning projects

Upcoming sessions

Curriculum

Develop a data strategy around machine learning

Examine use cases that are then reimagined through an ML lens

Recognize biases that ML can amplify

Leverage Google Cloud Platform tools and environment to do ML

Learn from Google's experience to avoid common pitfalls

Carry out data science tasks in online collaborative notebooks

Invoke pre-trained ML models from Cloud AI Platform

Describe how to improve data quality

Perform exploratory data analysis

Build and train supervised learning models

Optimize and evaluate models using loss functions and performance metrics

Mitigate common problems that arise in machine learning

Create repeatable and scalable training, evaluation, and test datasets

Create TensorFlow 2.x and Keras machine learning models

Describe Tensorflow 2.x key components

Use the tf.data library to manipulate data and large datasets

Use the Keras Sequential and Functional APIs for simple and advanced model creation

Train, deploy, and productionalize ML models at scale with Cloud AI Platform

Compare the key required aspects of a good feature

Combine and create new feature combinations through feature crosses

Perform feature engineering using BQML, Keras, and TensorFlow 2.x

Understand how to preprocess and explore features with Cloud Dataflow and Cloud Dataprep

Understand and apply how TensorFlow transforms features

Optimize model performance with hyperparameter tuning

Experiment with neural networks and fine-tune performance

Enhance ML model features with embedding layers

Summary

Meet your Trainer

Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Learning Outcomes

Upon finishing the training, you will:

Gain proficiency in TensorFlow 2.x and Keras to develop advanced machine learning models

Design scalable machine learning solutions leveraging Google Cloud’s AI Platform and TensorFlow

Utilize Cloud Dataprep and TensorFlow for effective feature engineering and data optimization

Enhance model performance through hyperparameter tuning and advanced evaluation techniques

Acquire practical experience deploying real-world machine learning models using Google Cloud tools

Ready to get started?

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

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Frequently asked questions

The Machine Learning with TensorFlow on Google Cloud Training in Dubai is designed to help you master machine learning concepts using TensorFlow and Google Cloud tools. You'll learn to build, train, and deploy machine learning models while gaining hands-on experience with real-world applications. By the end, you will be prepared to design scalable ML solutions and enhance your career prospects in data science and AI.

The certification is recognized internationally, especially in the tech industry. Google Cloud and TensorFlow are widely used platforms, making the skills you gain highly transferable across different regions, including the UAE and the broader Middle East. The certification is a valuable asset when seeking global career opportunities in machine learning and AI.

Unlike other machine learning courses, the Machine Learning with TensorFlow on Google Cloud Training in Dubai focuses on real-world applications using Google Cloud's AI tools. The course covers advanced topics like feature engineering with Cloud Dataprep and hyperparameter tuning, which many competitors overlook. This practical approach ensures that you are job-ready upon completion.

The Machine Learning with TensorFlow on Google Cloud Training in Dubai is available online, allowing you to study from anywhere. The online mode includes live interactive sessions, recorded videos, and access to a learning management system.

The Machine Learning with TensorFlow on Google Cloud Training in Dubai is suitable for professionals who are new to AI. The course starts with foundational concepts in machine learning and gradually builds up to advanced topics. By the end of the course, you will have the skills to build and deploy real-world machine learning models, even with no prior experience.