TensorFlow, a widely used open-source machine learning framework, plays a pivotal role in training neural networks for various applications
Here’s an overview of the leading TensorFlow certification options currently available
1.IBM: Deep Learning with Tensorflow
This Tensorflow Certification course is designed for individuals with a foundational understanding of machine learning, Python, and deep learning. It aims to leverage and enhance these skills by encompassing fundamental concepts, essential functions, operations, and the execution pipeline. Through this program, participants will gain the ability to fine-tune weights and biases during neural network training, and they will explore various types of deep architectures.
Key highlights of this certification include:
- Framework for tasks such as curve fitting, regression, classification, and error function minimization.
- In-depth coverage of deep architectures, including recurrent networks, autoencoders, and convolutional networks.
- Well-structured curriculum.
- Access to free study materials and instructional videos.
- Interactive tutorials.
- Course duration: 5 weeks, requiring 2 to 4 hours per week.
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2.TensorFlow Developer Professional Certificate Course
Target Audience:
This Tensorflow Certification course is designed for a diverse group of individuals, including AI practitioners, aspiring data scientists, tech enthusiasts, and consultants, all of whom aim to obtain the TensorFlow Developer Certification. Here’s a breakdown of who will benefit from this course:
- Data Scientists seeking to advance their TensorFlow skills to an advanced level.
- Data Scientists aiming to successfully achieve the TensorFlow Developer Certification.
- AI Practitioners who wish to create more robust AI models using TensorFlow.
- Tech enthusiasts with a passion for AI, eager to gain hands-on practical experience with TensorFlow.
Course Prerequisites:
While a basic understanding of programming is recommended, this course is accessible to individuals with fundamental programming knowledge. Additionally, some familiarity with Machine Learning is advantageous but not mandatory, as the course comprehensively covers these topics in its early lectures. This course equips students with essential data science fundamentals and empowers them to apply these skills effectively in solving real-world, complex business challenges.
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3.TensorFlow Developer Certificate
The primary objective of this Tensorflow Certification is to offer individuals worldwide an opportunity to showcase their machine learning expertise in an increasingly AI-driven global job market. The TensorFlow Development Certificate is designed as a foundational certification, catering to students, developers, and data scientists who aim to validate their practical machine learning abilities by constructing and training models using TensorFlow.
The program encompasses an evaluation exam developed by the TensorFlow team. Those who successfully pass the exam can become part of our Certificate Network, allowing them to proudly display their certificate and badges on their resumes, GitHub profiles, and social media platforms, including LinkedIn. This enables them to readily share their level of TensorFlow proficiency with a global audience.
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4.DeepLearning.AI TensorFlow Developer Professional Certificate by Coursera
What you’ll learn
- Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications.
- Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
- Build natural language processing systems using TensorFlow.
- Apply RNNs, GRUs, and LSTMs as you train them using text repositories.
Skills you’ll gain
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5.TensorFlow Developer Certificate Zero to Mastery
What you’ll learn
- Learn to pass Google’s official TensorFlow Developer Certificate exam (and add it to your resume)
- Build TensorFlow models using Computer Vision, Convolutional Neural Networks and Natural Language Processing
- Complete access to ALL interactive notebooks and ALL course slides as downloadable guides
- Increase your skills in Machine Learning and Deep Learning, to test your abilities with the TensorFlow assessment exam
- Understand how to integrate Machine Learning into tools and applications
- Learn to build all types of Machine Learning Models using the latest TensorFlow 2
- Build image recognition, text recognition algorithms with deep neural networks and convolutional neural networks
- Using real world images to visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy
- Applying Deep Learning for Time Series Forecasting
- Gain the skills you need to become a TensorFlow Certified Developer
- Be recognized as a top candidate for recruiters seeking TensorFlow developers
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6.TensorFlow Developer Professional Certificate
WHAT YOU WILL LEARN
- Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications.
- Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
- Build natural language processing systems using TensorFlow.
- Apply RNNs, GRUs, and LSTMs as you train them using text repositories.
SKILLS YOU WILL GAIN
- Computer Vision
- Convolutional Neural Network
- Machine Learning
- Natural Language Processing
- Tensorflow
- Inductive Transfer
- Augmentation
- Dropouts
- Tokenization
- RNNs
- Forecasting
- Time Series