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CODE: NAI04
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course prepares participants for the TensorFlow Developer Certificate exam. It focuses on practical skills for building and deploying machine learning models using TensorFlow. Delegates will use core APIs to train, evaluate, and optimize models. They will work with neural networks, image and text data, time series, and NLP tasks. By the end of the course, participants will be able to build scalable ML models and apply TensorFlow to real-world AI problems for certification and career growth.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the structure and functionality of TensorFlow and its core APIs.
Build, train, and evaluate machine learning and deep learning models.
Work with image data, time series, and natural language processing tasks.
Implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
Optimize models for performance and scalability.
Prepare and clean datasets for training and testing.
Use TensorFlow tools for deployment and production.
Demonstrate the skills required to pass the TensorFlow Developer Certificate exam.
Apply TensorFlow techniques to real-world AI projects and solutions.
At the end of this course, you’ll understand:
This course is ideal for aspiring machine learning engineers, data scientists, AI developers, and software engineers seeking to build and validate their TensorFlow skills. It is also suitable for students, researchers, and professionals preparing for the TensorFlow Developer Certificate exam or looking to strengthen their practical experience in developing and deploying AI models using TensorFlow. Basic knowledge of Python and machine learning concepts is recommended.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
