DeepLearning.AI TensorFlow Developer Professional Certificate
- Category - TensorFlow, Deep Learning
- Course Difficulty - Average
- Course Length - 2 Months @ 10h per Week
- Price - $49.99
- Rating
4/5
The DeepLearning.AI TensorFlow Developer Professional Certificate program is a comprehensive and hands-on learning experience designed to equip individuals with applied machine learning skills using TensorFlow. This program is offered by DeepLearning.AI and is available for enrollment with financial aid. It consists of a four-course series that covers the essential tools and techniques to build scalable AI-powered applications with TensorFlow. Participants will learn how to train and deploy powerful models using one of the most in-demand and popular open-source deep learning frameworks, TensorFlow.
Subjects Covered:
The courses cover a wide range of topics related to TensorFlow and applied machine learning. Participants will learn best practices for TensorFlow, including building neural networks, training models for computer vision applications, and implementing natural language processing systems. The courses delve into specific subjects, such as handling real-world image data, preventing overfitting using augmentation and dropout, and using recurrent neural networks (RNNs), gated recurrent units (GRUs), and long short-term memory (LSTM) models for text processing.
Course Features:
- Hands-on learning with 16 Python programming assignments.
- Flexible schedule and self-paced learning, allowing participants to learn at their own pace.
- Financial aid options available for eligible learners.
- Industry certification that can be added to LinkedIn profiles.
- Access to career resources, including resume review, interview preparation, and job search guides.
- Subtitles available in multiple languages for better accessibility.
Key Learning Outcomes:
By the end of this course, you will gain the following skills and knowledge:
- Understanding of best practices for using TensorFlow for machine learning applications.
- Proficiency in building and training neural networks in TensorFlow.
- Ability to work with real-world image data and apply strategies to prevent overfitting.
- Expertise in natural language processing using TensorFlow, including text processing and model training.
- Familiarity with handling time series data and solving forecasting problems with TensorFlow.
Target Audience:
This course series is designed for individuals interested in expanding their machine learning expertise using TensorFlow. It is suitable for intermediate-level learners, and no previous experience in TensorFlow is necessary. The program provides a strong foundation for those seeking to build scalable AI-powered applications and prepares learners for the Google TensorFlow Certificate exam.
Accreditation:
Upon successful completion of the DeepLearning.AI TensorFlow Developer Professional Certificate program, participants will earn an industry-recognized certificate from DeepLearning.AI. This certificate can be shared on social media, added to LinkedIn profiles, and presented as evidence of technical proficiency in TensorFlow and applied machine learning skills.
