26 Courses and Certifications

Online Deep Learning Courses & Certifications

The concept of Deep Learning has started gaining popularity when Google's deep learning algorithm AlphaGo reigned Lee Sedol, one of the highest-ranking Go players in the world. Deep Learning is a subset of a broader family of machine learning, which is an artificial neural network with multiple layers. Deep Learning significantly attempts to imitate the human brain to process troves of data and make predictions with accuracy. Studying Deep Learning covers topics like the basics of neural networks, convolutional neural networks and recurrent neural networks.

There are many Deep Learning courses online or offline available at the UG, PG, doctorate, diploma and PG diploma levels. There are also numerous Deep Learning certification courses offered by top institutes for free or at a few costs. 

Some of the deep learning courses are:

  • B.Tech in Data Science (Machine Learning, Deep Learning and Artificial Intelligence)
  • B.Tech in Computer Science with AI, ML and Deep Learning
  • B.Tech in Computer Engineering with AI, Machine Learning and Deep Learning
  • MTech/ MCA in Computer & Information Sciences
  • MTech in Computer Science and Engineering
  • PhD in Machine Learning
  • PhD in Computer Science Engineering
  • Advanced Diploma in AI, Deep Learning and Machine Learning

After completing Deep Learning courses online or on-campus, candidates can explore various opportunities in the government and private IT sectors. They can find job options like Deep Learning Engineer, Software Engineer, Data Scientist, Data Analyst, Data Engineer, etc.

What is Deep Learning?

As a subset of machine learning, Deep Learning is also known as deep structured learning. It mimics the human brain using a combination of data inputs, weights, and biases. By working together, these elements accurately identify, classify, and describe objects within the data. Today, Deep Learning has numerous real-world applications in financial services, law enforcement, customer service, and healthcare.

Who Can Pursue Deep Learning Courses?

Anyone interested in learning the fundamentals of Machine Learning algorithms and Deep Learning can pursue Deep Learning courses. Professionals, academicians, and researchers can also apply for these courses to enhance their knowledge and skills in this revolutionary technology. Candidates with a background in computer application or IT and having good knowledge of computer programming may find Deep Learning courses more relatable.

Eligibility Criteria for Deep Learning Courses

  • As different Deep Learning courses have different requirements, the minimum eligibility is 10+2. 
  • For undergraduate courses, candidates must have passed class 12th in the science stream with a minimum aggregate of 50% marks from a recognised board.
  • Institutes provide admissions to UG Deep Learning courses based on entrance exams such as JEE Main, SUAT, LPU NEST, etc.
  • For postgraduate courses, candidates should hold a bachelor’s degree in Computer Science Engineering with Deep Learning, Machine Learning or a relevant subject with 55% marks from a recognised college/university.
  • Aspirants need to appear and qualify for entrance exams for PG Deep Learning courses, including GATE and MSRUAS CET.
  • After a master’s degree in Deep Learning, candidates can go for PhD programmes in this field.

Skills Required for Deep Learning Courses

  • Strong Mathematics 
  • Critical Thinking
  • Creativity
  • Communication skills
  • Basic Knowledge of Programming Language

What Will You Learn in Deep Learning Courses?

  • Pursuing online Deep Learning courses and certifications will teach you about various topics, including AI and programming tools, neural networks, machine learning, and data structures and algorithms, among others.
  • Deep Learning courses also teach you about computer security, cryptography, data-intensive computing, robotics, etc.
  • The courses will help you gain an understanding of using Python to create ANN Networks, interpreting sequential modelling and neural networking, and exploiting Deep Learning Tools such as Digit classifier and TensorFlow.
  • Deep Learning courses also equip you with the skills essential to get a good opportunity in your specialised area.

Popular Deep Learning Certification Courses

These are the online Deep Learning courses with certificates that provide learners with the foundations of Deep Learning and Neural Networks. By enrolling in Deep Learning certification courses, they will see real-time case studies and understand the applications of Deep Learning. The duration and fees of these courses vary depending on the provider institutions.

Here’s the list of the best Deep Learning certification courses:

Course Name

Offered by

Duration

Fees

Certificate in Machine Learning and Deep Learning Batch 01

FORE School of Management, Delhi via Education Lanes

5 Months

INR 45,000

Deep Learning

IIT Ropar via Swayam

12 Weeks

Free

Deep Learning - 1

IIT Kharagpur via Swayam

12 Weeks

Free

Deep Learning and its Applications

IIT Roorkee

14 Days

INR 8,000

Deep Learning and Reinforcement Learning

IBM via Coursera

6 Weeks

Free

Deep Learning For Visual Computing

IIT Kharagpur via Swayam

12 Weeks

Free

Deep Learning Fundamentals with Keras

IBM via Edx

5 Weeks

Free

Deep Learning through Transformative Pedagogy

The University of Queensland, Brisbane via Edx

4 Weeks

Free

Post Graduate Certificate Program in Artificial Intelligence and Deep Learning

Manipal Academy of Higher Education, Manipal via Jigsaw Academy, and Manipal Prolearn

6 Months

INR 75,000

Deep Learning in Computer Vision

National Research University Higher School of Economics via Coursera

5 Weeks

Free


Career Options in Deep Learning

As a career, Deep Learning is a good opportunity for individuals who want to kickstart a career in the IT field. There are plenty of job opportunities available after completing online Deep Learning courses and certifications. You can get into both private and government IT sectors.

Below are some of the fascinating job roles you can explore in Deep Learning:

  • Deep Learning Engineer
  • NLP Engineer
  • Data Engineer
  • Data Scientist
  • Research Analyst 
  • Software Engineer 

Deep Learning Salary Trends

The salary of a Deep Learning professional can vary based on several factors such as educational qualifications, skill set, employment type, employer, and work experience. According to PayScale, the average salary of a professional with Deep Learning skills in India is INR 911,037/ year.

Salary as per the job profiles:

Job Profiles

Average Base Pay (annually)

Machine Learning Engineer

INR 753,596

Data Scientist

INR 932,985

Software Engineer

INR 591,445

Data Analyst

INR 446,473

Computer Vision Engineer

INR 520,522

*Source: PayScale

Scope of Deep Learning

Although Deep Learning is in its infancy, it is already revolutionizing distinct industries and functions, from medical devices to autonomous driving and image and fingerprint recognition. Deep Learning techniques significantly assist in processing and assessing big data through systematic programming, disciplines, and codes in order to deliver insights and inferences. This also helps develop patterns and trends and various other applications in several fields.

Today, Deep Learning has become an attractive career choice among students. It opens various job options from startups to MNCs and large companies in both the private and public sectors.

Top Recruiters for Deep Learning Professionals

Deloitte

Intel

Microsoft

Google

Amazon

Adobe

Infosys

Oracle


FAQs

Q: Where can I get online Deep Learning courses?

A: You can pursue online Deep Learning courses from IBM, Udemy, Harvard University, and Purdue University and build a career in this evolving field.

Q: Can I learn Deep Learning courses free?

A: Many institutes like MIT, IBM, Harvard University, and Purdue University offer free Deep Learning courses and certifications with access to rich course materials.

Q: Is it worth pursuing Deep Learning certification courses?

A: Once you complete Deep Learning certification courses, you will have plenty of job opportunities in the IT sector. 

Q: What are the requirements to pursue Deep Learning courses?

A: To pursue deep learning courses online or on-campus, you must have passed 10+2. For higher courses, you should hold a BSc/BTech degree with 55% or above from a recognized college/university.

Q: How much does it cost to complete online Deep Learning courses?

A: The fees of online Deep Learning courses and certification will depend on the course provider institute. Some Deep Learning courses are also available for free to access with some cost for the certificate.

Q: How much can I earn after Deep Learning courses?

A: Pursuing Deep Learning courses have various career prospects with attractive salary potential. As a Deep Learning Engineer, you can earn an average salary of INR 744,864/ year in India.

Career Category
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Post Graduate Level Advanced Certification Programme in Deep Learning

Offered by

Certificate

PG level Advanced Certification Programme in Deep Learning

The PG level advanced certification programme in deep learning is offered by the Indian Institute of Science in collaboration with the talent spirit. The course provides knowledge about deep learning and how to apply it in the real world. The course provides practical knowledge about the development of machine learning algorithms and their use for hardware. Moreover, the course will cover the fundamentals of deep learning and its application.

The PG-level advanced certification programme in deep learning will be held in online mode with English as a medium of instruction. A visit to the Indian Institute of Science will be arranged for the students at the beginning or end of the course. The course duration will be 10 months. The course classes will happen only at weekends. The course will be instructed by the faculty of the Indian Institute of Science. Also, industry experts will share their experience and knowledge about the course application in the real world with the students. The fee structure of the course is Rs. 4,00,000 which has to be paid online. 

...Read More
10 Months
4,00,000
Skills Covered:
Knowledge of deep learning Knowledge of Big Data Knowledge of Data Visualization Machine learning Knowledge of Artificial Intelligence
Certificate

Post Graduate Certificate Program in Artificial Intelligence and Deep Learning

In the present times of rapid technological advancements and computerization, it has become extremely important to master the subject of Artificial Intelligence and Learning. This Post Graduate Certificate Program in Artificial Intelligence and Deep Learning has been planned for those candidates who want to master their skills in Machine Learning, Artificial Intelligence and Deep Learning. This blended/online program by Jigsaw Academy is in association with the Manipal Academy of Higher Education (MAHE).

The curriculum of this course has been designed in a way that will help the candidate to have hands-on practice of GPU Labs on real-world Case studies and 100+ hours of Cloud. It will develop an ability to plan and implement AI and DL for various business purposes. It will also focus on transforming the candidate into becoming an AI practitioner and applying machine learning and deep learning tools like Tensorflow, Keras and other algorithms.

The best thing about this program is that it will enrich the participant with detailed knowledge of the subject which will aid them in learning the different strategies to be applied. More than 10+ real-world scenarios will be presented wherein AI has been used across various industries and domains.

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6 Months
75,000
Skills Covered:
Knowledge of Python Knowledge of Artificial Intelligence Machine learning Knowledge of deep learning Programming skills

Offered by

Certificate

Self-Driving Car Engineer

The Self-Driving Car Engineer programme is an exclusive Nanodegree course at Udacity, which encompasses all the key concepts and skills required to become a self-driving car engineer. This course houses numerous industry-relevant projects and renowned experts to help you learn invaluable skills and concepts such as computer vision, deep learning, localisation, controllers, sensor fusion, automotive hardware, vehicle kinematics, and more. 

The Self-Driving Car Engineer course by Udacity also provides you with the rare chance to run your code on Carla, Udacity’s very own autonomous vehicle, to see the real implementation of the skills you have learned. The course provides features such as a flexible learning module to suit your packed schedules, technical mentor support, personal career coaches, and experienced project reviewers to make your learning experience an efficient one.

Moreover, the Self-Driving Car Engineer training curriculum has been designed in partnership with tech and automotive giants such as BMW, DiDi, Uber ATG, NVIDIA, Mercedes, and McLaren. That gives the candidates an excellent opportunity to master the fundamentals while learning from the best in the industry.

...Read More
6 Months
1,14,245
Skills Covered:
Programming skills Networking Knowledge of deep learning
Certified Deep Learning Expert Course

Offered by

Certificate

Certified Deep Learning Expert Course

Deep learning falls under the broad spectrum of machine learning and can shadow the limitations and drawbacks that are evident in machine learning functions. We can say that deep learning is an ideal mechanism when the datasets are enormous. The Certified Deep Learning Expert Course can teach you how to apply deep learning knowledge to various organisational functions. 

Furthermore, the Certified Deep Learning Expert Course by DataMites includes case studies and real-world projects to impart relevant skills and maximum understanding. The programme curriculum comprises core learning algorithms, Tensorflow 2.X, neural networks, Recurrent neural network (Rnn), and more. 

Besides, DataMites offers different learning modes, including live virtual training, blended learning, and classroom training. You can opt for any option based on your preference and convenience.

DataMites’s Certified Deep Learning Expert certification course has been accredited by the International Association of Business Analytics (IABAC), and it carries worldwide recognition. You can benefit from the certification and fulfil your long-term career goals.

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6 Months
62,000
Skills Covered:
Machine learning Knowledge of deep learning
Certificate Program in Machine Learning and Deep Learning Batch-I

Offered by

Certificate

Certificate Program in Machine Learning and Deep Learning Batch-I

The Certificate in Machine Learning and Deep Learning Batch I program by Education Lanes is one of the strongest certifications programs that keep student interest on the first hand, this is the thing that is given topmost importance always in this particular field. 

Machine learning and deep learning both have indeed been fields of research since the development of neural networking. Through technological advances, in particular the graphical processing units, the need for competent and trained staff in this field has been fulfilled. Applications of machine learning and deep learning vary from machine vision to voice recognition and interpretation to advertising and drug development. 

The Certificate in Machine Learning and Deep Learning Batch I certification course is structured in a prosperous way that includes thesis and research-based work modules with the single objectives of conducting a study on core machine learning and artificial intelligence technologies, which is language processing and improving learning along with some reinforcement aspects. 

This Certificate in Machine Learning and Deep Learning Batch I online course is designed with trying to develop quantitative mathematical skills using machine learning and deep learning methods and realistic execution of any technique for real-world implementations.

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5 Months
45,000
Skills Covered:
Knowledge of deep learning

Offered by

Certificate

Intro to Self-Driving Cars

The Intro to Self-Driving Cars by Udacity is the perfect introductory programme to help you get familiarised with the essentials of programming self-driving vehicles. The course curriculum has been carefully crafted by industry experts to help you learn and sharpen the essential skills to work on self-driving cars. The content consists of key concepts such as working with C++ and matrices, implementing Python, performance programming through C++, visualising calculus, computer vision, and machine learning. 

The Intro to Self-Driving Cars course also features real-world projects, crafted by industry experts to help you not only learn the necessary concepts but implement them in real-time as well. The curriculum features immersive content, built around a self-paced module that fits your schedule, allowing you to learn comfortably.  

Moreover, the Intro to Self-Driving Cars Nanodegree programme also provides career support, such as personal career coaches, interview preparations, and technical mentor support to help you clear your doubts easily. Here, you will learn about what goes into programming a car to self-drive, implement those concepts, and get valuable feedback on improvement. You even get guidance to create a strong resume. Upon satisfactory completion, you will receive a graduation certificate as well. 

...Read More
4 Months
Beginner
91,396
Skills Covered:
C++ Programming skills Machine learning Knowledge of Python

Offered by

Certificate

Deep Learning

Today’s digital era has enabled the technologies to flourish exponentially. Computer systems are now able to derive more accurate results by analysing huge amounts of structured as well as unstructured data, commonly known now as ‘big data’. These advancements have assisted companies in reducing risks and identifying more profitable opportunities. The role of deep learning in this technology-driven era has assumed great significance. Deep Learning makes use of algorithms to enable automatic learning through absorption of information and data.

Being a specialized form of machine learning, deep learning enables end-to-end automatic learning using all the relevant features from the data provided. Many big brands and large organisations are extensively making use of deep learning to facilitate automation in their operations. This has led to a rise in demand for deep learning practitioners around the world.

The Deep Learning nanodegree programme course online offered by Udacity will enable you to master fundamentals of deep learning which will aid you in building a career in deep learning as well as pursue in-depth studies in the field of AI. The programme comprises 5 courses and 5 real-world projects to showcase your skills in the deep learning domain. This beginner-friendly nanodegree programme is the perfect way to get started in areas of machine learning and AI.

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4 Months
$ 91,396
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

Advanced Deep Learning

The Advanced Deep Learning Certification Course is a 3-month program offered on the Skill-Lync platform that aims to impart learners with advanced-level perspectives of deep learning applications and establish a career in deep learning. The course is supported by both individual and group zoom video sessions.

The Advanced Deep Learning Online Course consists of detailed modules and subjects taught by experts in the field. The online course is taught using informative videos and content that helps learners grasp the concepts clearly. You can request a one-to-one demo of the course before deciding to enroll.

The Advanced Deep Learning Training Course constitutes industry-driven projects that help learners improve their skills and knowledge in deep learning, machine learning, and Python programming language. Upon the successful completion of the course along with the fulfillment of projects and tests, learners will receive a final certificate.

...Read More
3 Months
7,000
Skills Covered:
Programming skills Knowledge of Python Knowledge of Algorithms Machine learning Knowledge of deep learning
Deep Learning For Visual Computing

Offered by

Certificate

Deep Learning For Visual Computing

Deep Learning for Visual Computing course’s aim is to educate the student about the stratified recognition task. This is a free course that covers topics including visual computing, ResNet, PyTorch, Python, GoogleNet, and more.

Swayam Deep Learning for Visual Computing is an appropriate option for people who want to become deep learning scientists, get into research, computer vision engineer, AI research scientist, etc. Join this course to make a career as a software engineer, deep learning engineer, IT artificial intelligence intern, research scientist, computer scientist, etc. 

The course type is ongoing and the length for this course is 12 weeks. There are no strict fee charges to enrol or study the Deep Learning for Visual Computing course, but for the certificate, the student needs to register and appear in an examination conducted in person at a chosen center. Regular assessments and one-on-one doubt clearing sessions are held by IIT-affiliated teachers.

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12 Weeks
Free
Join
Skills Covered:
Knowledge of Python Knowledge of deep learning
Deep Learning

Offered by

Certificate

Deep learning

Over the past few years, Deep Learning has received a lot of attention due to its wide-ranging applications in data analytics, natural language processing, and computer vision. Many professionals who are well versed in deep learning technologies have been employed by leading companies like Google, IBM, Facebook, Microsoft, and Twitter. In this Deep learning – IIT Ropar online training, you will get familiar with the building blocks of deep learning algorithms and solutions.

The Deep Learning – IIT Ropar course syllabus places a particular emphasis on neural network topics like attention mechanisms, convolutional neural networks, feed-forward neural networks, and recurrent neural networks. Various deep learning optimisation algorithms such as Nesterov Accelerated Gradient Descent, Gradient descent, Adam, AdaGrad, and RMSProp are also covered. Learning these algorithms and methods will help effectively train deep neural networks.

After completing all the lectures and assignments of the Deep Learning – IIT Ropar programme, you’ll have a robust grasp of deep learning architectures, which you can employ to carry out various computer vision and Natural Language Processing tasks. You can also test your understanding by applying for the final proctored exam. Passing this test will also grant you a certificate by Swayam, which can be used to display your skills and get lucrative jobs.

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12 Weeks
Free
Join
Skills Covered:
Knowledge of deep learning
Deep Learning - 1

Offered by

Certificate

Deep Learning

The availability of massive amounts of image and video data on the internet has made data interpretation and analysis a challenging affair. However, deep learning has proved to be an excellent solution to such a mammoth task. Moreover, deep learning is not only applicable to data analysis but also computer vision and natural language processing tasks. This Deep Learning - IITKGP course will help you get familiar with the concept and its applications.

The Deep Learning - IITKGP course syllabus starts with traditional machine learning methods like multilayer perceptron and Bayesian classification. Towards the end, the course will discuss modern deep learning approaches like autoencoders and convolutional neural networks. After completion, you will have the knowledge and confidence to take on challenging, real-world problems related to data analysis and automation.

By opting for the Deep Learning - IITKGP certification course, you also get industry support from Adobe, TCS, Google, and DRDO. Moreover, the course’s scheduled nature also provides you with enough motivation to study the modules and complete the course. After every module, you can find challenging assignments, which help you gauge your understanding.

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12 Weeks
Free
Join
Skills Covered:
Knowledge of deep learning

Offered by

Certificate

Intro to Deep Learning with PyTorch

There is no doubt that the AI revolution is being driven by deep learning. Machine learning and AI are gaining popularity as it helps make data-driven business decisions. With a deep understanding of AIML, you can take your business to an all-new level.  PyTorch makes it convenient to build applications used for deep learning. The programme will teach you how to build and train deep neural networks using Pytorch. This practical experience would hone your skills to use them in your personal projects. 

Intro to Deep Learning with PyTorch online course explores how to use PyTorch using coding exercises and projects. This will help you implement state-of-the-art AI applications such as text generation and style transfer.  This is a free course that offers instructional videos, interactive quizzes, and self-paced learning. 

Intro to Deep Learning with PyTorch takes about two weeks to complete. This is an intermediate-level course and requires a working knowledge of Python and its libraries Matplotlib and NumPy. The industry experts for this course are a panel of five educators: Matt Leonard, Soumith Chintala, Luis Serrano, Cezanne Camacho, and Alexis Cook. 

...Read More
2 Months
Intermediate
Free
Join
Skills Covered:
Knowledge of deep learning
Deep Learning and Reinforcement Learning

Offered by

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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6 Weeks
Intermediate
Free
Join
Skills Covered:
Knowledge of deep learning
Deep Learning in Computer Vision

Offered by

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
Join
Skills Covered:
Knowledge of Artificial Intelligence Knowledge of deep learning

Offered by

Certificate

Deep Learning Training - TensorFlow Certification

This course is tailor-made for students who are already coding in Python. This course is more advanced and tends to coders or developers who are interested in Deep Learning. Deep Learning is a little different from Machine Learning and deals with Artificial Intelligence. Deep learning is an AI functionality which tries to recreate human behavior when it processes data for purposes of detection of objects and speech, language translation and decision-making.

With this course, the student will be able to successfully differentiate between Deep Learning and Machine Learning. After the student learns the basic concepts of Deep Learning, they will learn how to successfully navigate the TensorFlow 2.x package in this course. A deeper dive will be taken when learning about the above concepts and topics such as CNN, RCNN, LSTM, RNN and RBM will be introduced.

After finishing the course, the students will be able solve real-time projects using these concepts. The projects could include emotion and gender detection or auto image captioning and many others.

...Read More
5 Weeks
19,995
Skills Covered:
Knowledge of deep learning

Offered by

University of Montreal, Montreal via Edx
Certificate

Deep Learning Essentials

The Deep Learning Essentials program by edX will help candidates discover the issues of discrimination and bias in Machine Learning and gain valuable insights regarding the subject. They will become adept at performing tasks like signal processing, computer vision, robotics, sequential decision-making, and natural language processing.

Besides, the University of Montreal offers the Deep Learning Essentials training and is designed by IVADO, a hub of scientific and economic data science and Mila. The scientific director of this course is Yoshua Bengio, a reputed expert in artificial intelligence and a pioneer in Deep Learning, who is also a professor at the University of Montreal.

Rife with video tutorials, tests, and assignments, the Deep Learning Essentials certification course also provides diverse learning tools to help candidates become adept in deep learning's fundamentals concepts and methods. 

On successful course completion, candidates can also secure a verified certificate from edX to acknowledge their newly acquired knowledge in the field. 

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5 Weeks
Intermediate
Free
Join
Skills Covered:
Problem Solving Ability Machine learning
Applied Deep Learning Capstone Project

Offered by

IBM via Edx
Certificate

Applied Deep Learning Capstone Project

The Applied Deep Learning Capstone Project certification programme is a five-week-long online course curated by IBM. During this capstone project, you will get practical, hands-on experience in developing, training and testing a Deep Learning model. For this purpose, you will be using either PyTorch or Keras.

edX’s Applied Deep Learning Capstone Project is an advanced-level programme that is also a part of a Deep Learning professional certificate of edX. With the help of this course, you will learn how to preprocess and load data for a real-life problem, create a model and finally validate it. 

The Applied Deep Learning Capstone Project programme by edX requires only two to four hours per week to study. You will learn through video lessons and ultimately master the procedure of generating a Deep Learning pipeline. At last, you are required to present a project report to showcase your competence in the domain of Deep Learning.

...Read More
5 Weeks
Expert
Free
Join
Skills Covered:
Statistical skills Data science knowledge Knowledge of deep learning
Using GPUs to Scale and Speed-up Deep Learning

Offered by

IBM via Edx
Certificate

Using GPUs to Scale and Speed-up Deep Learning

Training sophisticated Deep Learning models takes plenty of time. The Using GPUs to Scale and Speed-up Deep Learning certification programme sheds light on how accelerated hardware like Nvidia GPU (Graphics Processing Unit) or Google’s TPU (Tensor Processing Unit) can be used to shorten computations time on the cloud.

During edX’s Using GPUs to Scale and Speed-up Deep Learning course, you will understand what accelerated GPU-based hardware is and how it can help you overcome scalability challenges in Deep Learning. You will also get familiar with IBM’s Power Systems with Power AI and Nvidia GPU.

The Using GPUs to Scale and Speed-up Deep Learning will also acquaint you with popular Machine Learning dependencies and learnings supported by Power AI. These include Caffe, Theano, Tensorflow and Torch. Lastly, with this course, you will get practical experience of deploying Deep Learning networks on accelerated hardware for numerous problems, such as classifying videos and images.

...Read More
5 Weeks
Intermediate
April 27 - June,29 2021
Free
Join
Skills Covered:
Knowledge of Artificial Intelligence Knowledge of deep learning
Deep Learning Fundamentals with Keras

Offered by

IBM via Edx
Certificate

Deep Learning Fundamentals with Keras

The Deep Learning Fundamentals with Keras online course by edX is designed to familiarise you with the domain of Deep Learning. It is a five-week-long programme, during which you will learn about the basics of various Deep Learning models, the fundamentals of neural networks, and some of the most interesting Deep Learning applications.

Through the Deep Learning Fundamentals with Keras certification course, you will get practical experience, building a Deep Learning model with the powerful and easy-to-use Keras library. Also, you will develop an understanding of unsupervised and supervised Deep Learning models.

The Deep Learning Fundamentals with Keras certification syllabus is divided into four extensive modules. You are required to devote merely two-four hours every week to your studies.  As you progress across the modules, you acquire in-depth knowledge of how Keras is used to train, test and build Deep Learning models. Moreover, you will understand how neural networks learn. Upon completion, you can also get the verified certificate and earn a skill badge to showcase your acquired knowledge.

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5 Weeks
Intermediate
Free
Join
Skills Covered:
Knowledge of deep learning
Deep Learning through Transformative Pedagogy

Offered by

Certificate

Deep Learning through Transformative Pedagogy

Understanding deeply the technique of Deep learning in teaching which guarantees skills and knowledge for lifelong learning by using a range of contemporary digital technologies to enhance the learning, forms the main aim for the intermediate course on Deep learning through transformative pedagogy. This certification course is provided by edX, an online education provider in association with University of Queensland and Microsoft, both known for its educational and technological contributions and the course is taken by the professors from the institution. 

This self-paced Deep learning through transformative pedagogy online course with no required prerequisites comprises a curriculum which is specially curated for educators and education leaders but can be opted by anyone with a keen interest in learning and exploring the technique of deep learning.

The education & teacher training course mainly focuses on exploring deep learning and how it makes the students become more connective, collaborative and creative problem tacklers. Different powerful learning activities and teaching strategies are studied in order to facilitate deep learning which makes your students become innovative creators, effective communicators, and independent thinkers.

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4 Weeks
Intermediate
Free
Join
Skills Covered:
Knowledge of deep learning Teaching skills
Specialized Models Time Series and Survival Analysis

Offered by

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
Join
Skills Covered:
Knowledge of deep learning
AI Capstone Project with Deep Learning

Offered by

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
Free
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Skills Covered:
Knowledge of Algorithms Machine learning Knowledge of Python Knowledge of Artificial Intelligence
Certificate in Deep Learning with Caffe2

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Certificate

Certificate in Deep Learning with Caffe2

The online certification course in Deep Learning with Caffe2 offers an in-depth teaching process about the fundamentals of deep learning. Facebook open-sources Caffe2, which is a comfortable and adjustable framework for efficient deep learning. You will undergo training, based on deep learning tools, and understand the applications of Caffe2.

The Deep Learning with Caffe2 online course will provide you with the working knowledge of convolutional networks, Adam, BatchNorm, RNNs, Dropout, and more. You will establish a firm foundation in neural networks and understand how to build them. Moreover, you will train and manipulate them effortlessly by understanding Caffe2’s applications, using Python programming in various projects for Deep Learning with Caffe2 online course.

Deep Learning with Caffe2 programme provides government certification and enhances your employment possibilities in better companies. You will receive the certificate after passing the course test, with lifelong e-learning access and certification validity. 

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3,499
Skills Covered:
Knowledge of deep learning
Certificate in Deep Learning with Keras

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Certificate

Certificate in Deep Learning with Keras

Since the era of technology is changing, big companies are looking for new experts in various fields. The companies using modern technology require trained professionals to utilise their skills in a productive manner. Data Analytics using Keras is a part of mathematical analytics which has brought a whole new change in the technology world. It is a great way to start using digitalization and technical aspects of work in the workplace.

Nowadays, the need for such trained professionals is enhancing day by day. Big companies such as Amazon, Flipkart, Google are looking for trained professionals with a deep understanding of Keras. 

With Certified in Deep Learning with Keras, can access different skills to be professionally trained in using Keras. Online classes and supportive faculty contribute a lot to this course to be the right choice for learners seeking these skills. After getting certified through this course, learners will get several job opportunities from recruiters and other modes.

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3,499
Skills Covered:
Machine learning Knowledge of deep learning
Certificate in Deep Learning with PyTorch

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Certificate

Certificate in Deep Learning with PyTorch

Deep learning is a modern technology that enables systems with artificial intelligence to be built that were literally impossible before. It is going to be very helpful in order to remain organised, help businesses thrive and stay on top of the market. Numerous exciting applications are currently allowed by deep learning.

PyTorch is getting popular among data science professionals. It has a clean and easy API just like Python and that will be helpful in creating neural networks much faster and easier. Candidates will be able to use PyTorch proficiently in their real world projects by the end of this Deep Learning with PyTorch programme. While pursuing this programme, candidates will be able to learn a series of tools namely, NUMPY, Cuda and others.

The course is 100 percent online and candidates can take classes at their own pace. After the completion of the course, they need to appear in an online exam to get the certificate.

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3,499
Skills Covered:
Knowledge of deep learning
Certified Deep Learning With Project Letter

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Certificate

Certified Deep Learning (Internship + with Project letter)

Certified Deep Learning (Internship + with Project letter) by  IIT Kanpur is an online learning programme targeted at students pursuing B.Tech/M.Tech/BCA/MCA and professionals in the corporate world. The course will be delivered through live sessions and lectures on Zoom. It will also include practical topics for hands-on exposure. 

The Deep Learning course curriculum will dive into artificial neural networksdeep learning, TensorFlow, CNNs, RNNs, modern deep learning optimisers, activation functions, and more. The syllabus has been curated by experts and contains updated quality content for complete understanding. You will have to submit multiple assignments throughout the course duration. 

By the end of the course, you will have to take a final assessment to decide whether you qualify for the Deep Learning certificate. If you leave the course midway, you will not be awarded the certificate of completion by the Indian Institute of Technology Kanpur

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15,500
Skills Covered:
Knowledge of deep learning

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