Machine Learning with TensorFlow on Google Cloud in Bahrain
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 recognised certification to enhance your credibility
Enjoy flexible learning options that fit your schedule
Master scalable ML models using TensorFlow and Google Cloud
4.7/53056 EnrolledEnrolled Learners
4.7/53056 EnrolledEnrolled Learners
Overview
What you will learn:
- Learn to build machine learning models using TensorFlow 2.x and Keras
- Develop skills to train models using Google Cloud’s AI Platform for scalable machine learning solutions
- Get trained to optimise models using loss functions, performance metrics, and hyperparameter tuning
- Implement feature engineering with BQML, TensorFlow, and Cloud Dataprep
- Analyse data with Cloud Dataflow and preprocess using TensorFlow’s tf.data
- Gain hands-on experience with real-world projects in machine learning applications
Upcoming sessions
Curriculum
1
Develop a data strategy around machine learning
2
Examine use cases that are then reimagined through an ML lens
3
Recognize biases that ML can amplify
4
Leverage Google Cloud Platform tools and environment to do ML
5
Learn from Google's experience to avoid common pitfalls
6
Carry out data science tasks in online collaborative notebooks
7
Invoke pre-trained ML models from Cloud AI Platform
1
Describe how to improve data quality
2
Perform exploratory data analysis
3
Build and train supervised learning models
4
Optimize and evaluate models using loss functions and performance metrics
5
Mitigate common problems that arise in machine learning
6
Create repeatable and scalable training, evaluation, and test datasets
1
Create TensorFlow 2.x and Keras machine learning models
2
Describe Tensorflow 2.x key components
3
Use the tf.data library to manipulate data and large datasets
4
Use the Keras Sequential and Functional APIs for simple and advanced model creation
5
Train, deploy, and productionalize ML models at scale with Cloud AI Platform
1
Compare the key required aspects of a good feature
2
Combine and create new feature combinations through feature crosses
3
Perform feature engineering using BQML, Keras, and TensorFlow 2.x
4
Understand how to preprocess and explore features with Cloud Dataflow and Cloud Dataprep
5
Understand and apply how TensorFlow transforms features
1
Optimize model performance with hyperparameter tuning
2
Experiment with neural networks and fine-tune performance
3
Enhance ML model features with embedding layers
1
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
Successful completion of the training will help you to:
1
Master TensorFlow 2.x and Keras to build advanced machine learning models
2
Design scalable machine learning solutions using Google Cloud’s AI Platform and TensorFlow
3
Implement feature engineering with Cloud Dataprep and TensorFlow for data optimisation
4
Optimise model performance through hyperparameter tuning and advanced evaluation metrics
5
Gain hands-on experience deploying real-world ML models with Google Cloud tools
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.
Overall ratings by our students
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Frequently asked questions
Our Machine Learning with TensorFlow on Google Cloud in Bahrain course helps professionals master TensorFlow and Google Cloud tools for building, training, and deploying machine learning models. Students learn to use Google Cloud's AI Platform, TensorFlow 2.x, and Keras. By completing this course, participants receive globally recognised certification that improves their credibility and career opportunities.
Our Machine Learning with TensorFlow on Google Cloud is ideal for professionals with basic knowledge in programming, data analysis, or a related field. We strongly recommend professionals have a strong knowledge of Python programming, as it is the primary language used in TensorFlow. Additionally, basic knowledge in data science and machine learning will enable professionals to easily complete this course.
In this course, participants will learn the vital topics for building scalable ML models. These topics are:
- Supervised Learning
- Feature Engineering with Cloud Dataprep
- Hyperparameter Tuning
- The Art & Science of ML
- Introduction to TensorFlow 2.x
After completing the Machine Learning with TensorFlow on Google Cloud course in Bahrain, professionals can apply for lucrative job roles. Some of these are listed below:
- Machine Learning Engineers
- Data Scientists
- AI/ML Specialists
- Cloud Solutions Architects
- TensorFlow Developer
Unlike other ML courses, our Machine Learning with TensorFlow on Google Cloud training highly focuses on TensorFlow 2.x and Google Cloud tools for building scalable ML solutions. This specialised training offers learners an in-depth understanding of cloud-based model deployment and optimisation. This makes our training highly relevant for today’s AI-driven job market.
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