Online Deep Learning With Tensorflow Courses & Certifications

Deep Learning - TensorFlow Training by DataMites is supported by global industry experts and saturated with the latest best practices to transform learners into deep learning experts. The workshop and Deep Learning - TensorFlow Training certification syllabus will help them learn the foundations of deep learning with TensorFlow and create an understanding of neural networks. Additionally, they will learn about Adam, BatchNorm, Dropout, Convolutional networks, LSTM, RNNs, etc.

The Intro to TensorFlow for Deep Learning training is offered for a period of approximately two-month course duration with an intermediate level of difficulty. The content offered has a rich amount of information and is instructed by three prominent instructors from TensorFlow medium. 

The course can be pursued at self-paced progress and the candidate will learn the practicality involved with theories of deep learning for developers. The course will teach hands-on methods with models in real-world applications. The candidates will be exposed to large datasets which use advanced algorithms and techniques. The course is taught free of charge and aims to strengthen programmers and developers to build AI applications. 

One of the most cutting-edge forms of machine learning, deep learning is a challenging concept to master. However, coupling TensorFlow with Python and Keras API, it becomes easier to train, tune, and test deep learning models. With Codecademy’s Build Deep Learning Models with TensorFlow programme, that’s exactly what you’ll learn. 

The Build Deep Learning Models with TensorFlow certification course offers step-by-step mentorship to build your skills in deep learning. Through immersive projects and a comprehensive syllabus, you’ll understand neural networks’ underlying logic, create deep learning models, and explore their daily uses. 

While the Build Deep Learning Models with TensorFlow skill path offers a free trial, you can also upgrade to the Pro version. This will unlock extra lessons, unlimited access, a complete learning experience, and a valuable certificate of completion. The Codecademy Pro option will also provide members-only content, including additional practice and quizzes. You will receive a step-by-step roadmap to learn conveniently.

In Building Deep Learning Models with TensorFlow course, learners will obtain a hands-on experience of the TensorFlow library as a strong mechanism for the application of Deep Learning to real-world issues. 

The course efficiently combines Machine Learning and Data Science to impart an all-rounder learning on building Deep Learning models. As a part of the IBM AI Engineering Professional Certificate, students will grasp all fundamentals of Machine learning and Deep Learning, including the use of Python. 

Hands-on projects will provide the course takers with essential Data Science skills and unsupervised learning. Candidates will also build, deploy and train their Deep Learning models and adopt various features of the TensorFlow library in them. Since the majority of data in the world is unstructured and unlabelled, shallow neural networks find it difficult to capture structures in data comprising sound, images and texts. 

However, deep networks are capable of performing this function and hence this course has been created to provide an Intermediate Level of knowledge of how to go about it. IBM is a major player in the industry of providing a broad portfolio to its trainees for software development, predictive analytics, and systems management. Its expertise in technology and R&D is incorporated into the course curriculum.

The intermediate-level Customizing Your Models with TensorFlow 2 online course by Coursera builds a strong knowledge base for TensorFlow. You will learn to develop customized deep-learning models and workflows for any application. Additionally, the certification course will teach you how to build complex model architecture using lower-level APIs in TensorFlow.

Towards the course end, you will be working on a Capstone Project to apply the concepts you acquired over the course duration. You will custom-build a neutral translation model from scratch. The Customising Your Models with TensorFlow 2 programme, is the second course of the three-part Specialization – TensorFlow 2 for Deep Learning Specialisation. Moreover, the world-renowned institute, Imperial College of London, offers the online course, while Dr Kevin Webster instructs it.

You will learn via pre-recorded lectures and development experience, along with the coding assignments, which offer practical and field-relevant practice. A graduate teaching assistant will guide you through the projects. Most importantly, the Customising Your Models with TensorFlow 2 online course is entirely self-paced with flexible deadlines to suit your comfort.

Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by the National Institute of Electronics and Information Technology is a foundational course aimed at imbuing within students various Deep Learning skills and algorithm evaluation performances for multiple applications. It touches on machine learning, natural language processing (NLP), and programming languages that guarantee a career in AI.

The course is spread across five-weeks and filled with several theory and practical learning modules. Moreover, the Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by NIELIT also covers Cloud Computing, Internet of things (IoT) and Data Analytics. It includes case studies and projects which are industry-relevant. A course completion certificate is also provided to candidates towards the end of the programme.

Mr Ripunjay Singh is the instructor of NIELIT’s Online Certification Course in Deep Learning using Tensorflow 2 and Keras programme. Candidates need to dedicate one hour on weekdays from 3 PM to 4 PM. Candidates are selected on a first-come, first-serve basis.

A considerable amount of the world’s data is unstructured, including text, sound, images, etc. By joining the Deep Learning with TensorFlow certification course, you will learn how Deep Learning can be applied with TensorFlow to this kind of data and solve real-life problems. You will study the main functions, execution pipeline, basic concepts and operations of TensorFlow.

During the 5-week duration of the Deep Learning with TensorFlow online program, you will explore various kinds of Deep Architectures, like Autoencoders, Recurrent Networks, and Convolutional Networks. Also, you will learn how to implement TensorFlow for backpropagation to adjust the biases and weights while training the neural networks.

With the help of edX’s Deep Learning with TensorFlow course, you will learn how TensorFlow can be used in regression, minimizing error functions, curve fitting and classification. The course offers you free access to its contents along with the option to avail of a professional certificate on completion.

The ‘Deep Learning using TensorFlow’ online course is offered by the online education provider platform ‘Edu Plus Now’ which in association with the Indian Statistical Institute in Pune provides the certification in this program. The course is aimed at individuals interested in learning about the strategies in deep learning with the help of the software tool called TensorFlow and the classes are scheduled online on the weekends and will take thirty-six hours to complete the training.

The online training is provided by the faculty who are professionals from the industry and the course curriculum consists of lectures and industrially relevant projects that help the students gain hands-on experience while implementing the theoretical knowledge acquired during the course study. 

In this ‘Deep Learning using TensorFlow’ course by Eduplusnow, the students will explore deep learning with the training on Keras and TensorFlow and will improve their understanding of the concepts of neural networks.

Many of the companies, all around the world, face a huge mountain of data as the world progresses and transforms more into an open book. The issue with it is that it has made evaluating that data and making a scheme on it that much difficult with its quantity.

Deep Learning solves this issue by processing all that data in a better and faster way even if their network structures are complex in nature. However, there are not many people who can design Deep Learning models and train them for such a task.

This is where Certificate in Deep Learning with TensorFlow comes in. The course by Vskills teaches the candidates how they can tailor their Deep Learning models and measure them to the task of processing larger datasets and go through them even if they are complex in nature. Furthermore, it teaches the applicants the techniques behind the distribution of work in both high and low TensorFlow.