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CODE: NAI20
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This is an intensive course that covers key concepts in machine learning, computer vision, natural language processing, and neural network design while emphasizing hands-on projects and practical applications. It is designed to equip participants with the practical skills and knowledge required to build, train, and deploy deep learning models using TensorFlow. By the end of the course, participants will be fully prepared to take the official TensorFlow Developer Certification exam and demonstrate their ability to implement scalable AI solutions.
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:
Build, train, and deploy machine learning and deep learning models using TensorFlow.
Apply key TensorFlow concepts like tensors, computational graphs, and automatic differentiation.
Develop and fine-tune neural networks for image, text, and time-series tasks.
Optimize model accuracy through hyperparameter tuning and efficient data pipelines.
Deploy trained models using TensorFlow Serving, Lite, and TensorFlow.js.
Demonstrate practical skills to succeed in the TensorFlow Developer Certificate exam.
At the end of this course, you’ll understand:
This course is ideal for software developers, data scientists, AI engineers and machine learning practitioners who wish to advance their careers in artificial intelligence. It is also suited for professionals seeking to validate their TensorFlow expertise with an industry recognized certification and organizations aiming to upskill their technical teams in applied machine learning.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
