8 Courses and Certifications

Coursera Deep Learning Courses & Certifications

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Post Graduate Certificate in Deep Learning for Computer Vision and Extended Reality

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Certificate

Post Graduate Certificate in Deep Learning for Computer Vision and Extended Reality

Post Graduate Certificate in Deep Learning for Computer Vision and Extended Reality training is an online programme offered jointly by Coursera and the Indian Institute of Technology Guwahati. The course will train the participants on the application of deep learning in extended reality (XR) and computer vision. The six-month-long online PG programme is designed for those who have a bachelor's degree. 

Post Graduate Certificate in Deep Learning for Computer Vision and Extended Reality by IIT Guwahati helps the learners advance their knowledge of machine learning and deep learning models. The programme consists of 6 courses on various aspects and 6 projects. The course provides comprehensive practical exposure through projects making the learning ready for the industry. 

Post Graduate Certificate in Deep Learning for Computer Vision and Extended Reality online course is tortured by the expert faculties from IIT Guwahati. Coursera also provides 2 weeks refund policy for this programme. 

Also, Read: Deep Learning Certification Courses

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6 Months
1,12,500
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Skills Covered:
Knowledge of deep learning
Certificate

Customising Your Models with TensorFlow 2

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.

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5 Weeks
Intermediate
4,023
Skills Covered:
Knowledge of deep learning
Deep Learning in Computer Vision

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Certificate

Deep Learning in Computer Vision

The Deep Learning in Computer Vision online course by Coursera is focused on introducing learners to computer vision, right from the basics. Eventually, the certification course moves to deep learning models which are more modern. Image, as well as video recognition, is a primary part of the programme. The comprehensive curriculum will cover image annotation and classification, motion estimation, human action recognition, and more.

Moreover, Deep Learning in Computer Vision programme is the fifth course in the Advanced Machine Learning Specialization. The National Research University Higher School of Economics offers an online course in association with Coursera. The Deep Learning in Computer Vision certification course is an advanced-level course with a self-paced learning option. You will also work on a final project to implement their learnings. 

In the course project for the Deep Learning in Computer Vision course, you will learn to build face recognition and manipulation systems. This project will help you get an idea about the internal mechanics of this technology. The online course also includes a shareable certificate which you will receive from Coursera upon successful completion. 

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5 Weeks
Expert
4,202
Skills Covered:
Knowledge of Artificial Intelligence Knowledge of deep learning
Specialized Models Time Series and Survival Analysis

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Certificate

Specialized Models: Time Series and Survival Analysis

By taking up the Specialized Models: Time Series and Survival Analysis online course the students will be working on the ways to identify the modelling challenges that are common within the domain of time series data. The course will further be helping to understand the process of how trends are gauged and accessed in a time series of data. In the Specialized Models: Time Series and Survival Analysis certification syllabus the students will be covering chapters on- Identifying Nonstationarity, Common Transformations, Smoothing Moving Averages, Time Series Smoothing, Deep Learning Notebook, Survival Analysis and Censoring and others. The online course on Specialized Models: Time Series and Survival Analysis by Coursera will be elaborating on the domains of “time-series data” and will be working on its applications.

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4 Weeks
Intermediate
Free
Skills Covered:
Knowledge of deep learning
AI Capstone Project with Deep Learning

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Certificate

AI Capstone Project with Deep Learning

The AI Capstone Project with Deep Learning certification course provides an advanced level of training to all its participants. The programme is within the reach of the students at no cost as it can be accessed for free in the audit mode. The course is made accessible to every aspirant through the platform Coursera. Students who enrol for this hundred per cent online training will be able to gain a deep understanding of AI

The course revolves around the topics of preprocessing data, building a model, validity of a model, etc. The programme is a part of a course named IBM AI Engineering that is also a Coursera programme and is in association with IBM. The curriculum of the AI Capstone Project with Deep Learning online course is managed by two industry experts that will help the students understand the concepts. 

The course material of the subject also provides hands-on experience through projects. Along with the projects, it includes quizzes, assignments, practises exercises, etc. The course does not have any restrictions with respect to admission eligibility criteria, deadlines, or attendance. The content of the AI Capstone Project with the Deep Learning certification syllabus is divided into 4 weeks and can be completely finished in around 16 hours. If the student is able to complete the course in the fixed time he or she will be able to achieve a certificate at the end of the programme.

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4 Weeks
Expert
4,018
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of Python Knowledge of Algorithms
Neural Networks and Deep Learning

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Certificate

Neural Networks and Deep Learning

Neural Networks and Deep Learning is an online certification programme available on Coursera which is offered by DeepLearning.AI, an online education technology platform with the aim of building a global community of AI talent and professionals. This programme is one of the five specializations of deep learning. 

Neural Networks and Deep Learning Certification Course is intended to assist the learners to get acquainted with fundamental concepts of neural networks and deep learning. In Neural Networks and Deep Learning Certification Syllabus, the learners will be provided with the opportunity to explore the technology of Artificial Intelligence by knowing the strategies, challenges, and outcomes of deep learning. 

Neural Networks and Deep Learning Certification by Coursera will equip the students with the skills and potential of designing and executing the deep neural networks, bring about the deep learning application in their works, apply the vectorized neural networks and understand the major technological trends in deep learning. 

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Intermediate
4,074
Skills Covered:
Knowledge of deep learning
Deep Learning and Reinforcement Learning

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Certificate

Deep Learning and Reinforcement Learning

Deep Learning and Reinforcement Learning Certification by Coursera introduces its learners to two of the most sought-after avenues in Machine Learning-Reinforcement Learning and Deep Learning. The latter is abundantly used to power most of the AI applications that are used on a daily basis. Deep Learning and Reinforcement Learning Certification Syllabus exhaustively cover the theory of neural networks that form the basis of Deep Learning as well as modern architectures concerned with Deep Learning. 

As an intermediate-level course, it serves as the perfect second step for aspiring data scientists interested in getting hands-on experience with both the domains in Machine Learning to learn at their own pace and earn a certification. Delivered by IBM professionals, the course will focus on Reinforcement Learning once learners have developed a few Deep Learning models. Although Reinforcement Learning has only a few practical applications at present, it is coming up as a promising area of research in AI that is expected to become relevant in the coming future. At the end of the course, data scientists will find them to be well acquainted with the learnings provided in the course. They can easily implement them in their workforce and deliver timely solutions.

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Intermediate
3,243
Skills Covered:
Knowledge of deep learning

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