TensorFlow
The TensorFlow exam evaluates your proficiency in using TensorFlow, an open-source machine learning framework developed by Google. This exam tests your ability to build and deploy machine learning models using TensorFlow, covering core concepts, practical applications, and advanced techniques.
Who should take the exam?
- Data Scientists: Professionals looking to validate their TensorFlow skills for building machine learning models.
- Machine Learning Engineers: Individuals focusing on implementing and optimizing machine learning algorithms.
- Software Developers: Developers interested in integrating machine learning models into applications.
- AI Researchers: Researchers seeking a practical understanding of TensorFlow for their projects.
- Students: Students in data science or AI programs who want to demonstrate their TensorFlow capabilities.
Course Outline
The TensorFlow exam covers the following topics :-
- Module 1: Introduction to TensorFlow
- Module 2: Understanding TensorFlow Basics
- Module 3: Understanding Data Preparation
- Module 4: Understanding Building Models with TensorFlow
- Module 5: Understanding Training and Evaluation
- Module 6: Understanding Advanced TensorFlow Concepts
- Module 7: Understanding Model Deployment
- Module 8: Understanding Practical Applications
- Module 9: Understanding TensorFlow in Production
- Module 10: Understanding Exam Preparation