Machine Learning with TensorFlow on Google Cloud Training in Netherlands
Learn TensorFlow on Google Cloud with hands-on, structured modules
Build real-world ML skills with practical projects & lab activities
Learn from industry experts with proven credentials
Earn a globally recognised certification to enhance your credibility
Enjoy flexible learning options that fit your schedule
Master scalable ML models using TensorFlow & Google Cloud
Avail convenient & hassle-free payment plans
4.7/53259 EnrolledEnrolled Learners
4.7/53259 EnrolledEnrolled Learners
Overview
What you will learn:
- Offers in-depth TensorFlow 2.x & Keras training for advanced ML model creation
- Prepares to train scalable models using Google Cloud’s powerful AI Platform
- Guides optimizing models with metrics, loss functions, & hyperparameters
- Trains in feature engineering using Cloud Dataprep, BQML, & TensorFlow
- Delivers essential data preprocessing skills using tf.data & Google Cloud Dataflow
- Builds practical ML experience through hands-on actual applications & projects
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
Upon finishing the training, you will:
1
Master TensorFlow 2.x & Keras for building efficient machine learning models
2
Design scalable solutions with TensorFlow & Google Cloud AI Platform
3
Leverage Cloud Dataprep & TensorFlow for clean, optimized data
4
Boost performance with tuning & robust evaluation metrics
5
Apply learned skills by deploying ML models in real scenarios
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 Netherlands is all about teaching professionals how to build, train, and deploy machine learning models using TensorFlow and Google Cloud tools. You learn concepts like data preparation and model building, tuning, and deploying actual applications. You work with tools like Cloud Dataflow and AI Platform to build scalable ML solutions, which provides you with practical experience.
This Machine Learning with TensorFlow on Google Cloud Certification in Netherlands will be beneficial to professionals, including -
- Beginners in AI
- Beginners in machine learning
- Data analysts
- Data developers
- IT professionals exploring cloud-based ML tools
- Students interested in applied machine learning
If you choose to discontinue this training after the initial registration, you will get a 100% refund. However, to be eligible for this, you must submit a written refund request within two days of the initial registration date. When this refund request is accepted, the refund will be generated within 4 weeks from the withdrawal request date.
This course is designed to be easy and simple for beginners to understand. The course starts with the basics and slowly moves to more advanced topics. This helps you learn how to build and use machine learning models without any prior AI knowledge.
During our Machine Learning with TensorFlow on Google Cloud course in Netherlands, professionals practice working with the following tools -
- TensorFlow 2.x
- Keras
- Google Cloud’s AI Platform
- Cloud Dataprep
- Cloud Dataflow
- Model tuning
- Evaluation tools
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