Campus Affiliate | Syllabus
Certificate in TensorFlow Developer (CTD)
The TensorFlow Developer for Certification program is designed to equip participants with the skills and knowledge needed to become proficient in TensorFlow and to successfully pass the TensorFlow Developer Certification exam. This comprehensive course covers the foundational concepts, advanced techniques, and practical applications of TensorFlow, enabling participants to build, train, and deploy deep learning models effectively.
Multimatics possesses the capability and extensive experience required to deliver this program effectively. Our team of expert instructors, industry-standard curriculum, and state-of-the-art training resources ensure that participants receive a comprehensive and engaging learning experience. We are dedicated to helping you achieve your certification and advance your career in deep learning and AI.
For more information and to enroll, please visit multimatics. Join us to advance your career in deep learning and become a certified TensorFlow developer!
Program Details
Durations
This program is a 5-day intensive class.
Method of Delivery
- Lectures and Tutorials: Comprehensive lectures to explain theoretical concepts.
- Hands-on Labs: Practical sessions to implement the learned concepts.
- Projects: Real-world projects to apply TensorFlow in practical scenarios.
- Quizzes and Exams: Periodic assessments to evaluate understanding and progress.
- Peer Discussions and Support: Interactive sessions for collaborative learning.
Who Should Attend?
- Aspiring machine learning engineers and data scientists
- Software developers looking to specialize in AI and deep learning
- Professionals seeking to enhance their skills with TensorFlow
- Students and researchers interested in deep learning and AI applications.
Program Objectives
- Understand the fundamental concepts of TensorFlow and deep learning.
- Gain hands-on experience in building and training neural networks using TensorFlow.
- Develop skills in advanced deep learning techniques, including CNNs, RNNs, and Transformers.
- Learn to preprocess and augment data for better model performance.
- Master the deployment of TensorFlow models in various environments.
- Prepare thoroughly for the TensorFlow Developer Certification exam through review sessions and practice exams.
Examination Details
Participants will take TensorFlow Developer certification exam in form of multiple choice and hands-on questions. They will be given 5 hours to finish the exam with the passing score of 70%. Participants who successfully passed the exam will be given an official TensorFlow Developer certification.
Program Modules
Introduction to TensorFlow
Topic Covered
- Overview of TensorFlow
- What is TensorFlow?
- Applications of TensorFlow