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An initiative of Ministry of Electronics and Information Technology (MeitY) Govt. of India
This Deep Learning Certification Training Program is a online self-paced course. This course covers some of the most trending and latest technologies in the market like Tensorflow 2.0, Generative Adversarial Networks (GANs) etc. The cutting edge content provided through this course will help you launch a career in the field of Deep Learning
Additionally, this course comes with our cloud lab access to gain the much needed hands-on experience to solve the real-world problems.
Upon successfully completing the course, you will get the certificate from E&ICT Academy, IIT Roorkee which you can use for progressing in your career and finding better opportunities.
Electronics & ICT Academy IIT Roorkee (E&ICT IITR), provides certification courses with emphasis on hands-on learning in basic/advanced topics and emerging technologies in the Electronics and ICT domain. It is sponsored by Ministry of Electronics and Information Technology, Govt. of India. We conduct certification courses/short courses/FDPs in the emerging areas to enrich & upgrade subject knowledge and technical skills benefiting students, working professionals, Govt. employees and Faculty members.
The trained beneficiaries are expected to create a cascading effect, transforming the competencies and standards in the parent institutes/organizations. E&ICT courses are at par with QIP for recognition/credits. So far the E&ICT Academy, IIT Roorkee has conducted 150+ courses and trained over 10,000 beneficiaries.
CloudxLab (CxL) has been a pioneer in the edtech space for the past few years. Founded in 2015 by Sandeep Giri, an alumnus of IIT Roorkee, CxL has successfully transformed 1,000's of students' careers by offering world-class certification courses in big data, machine learning and artificial intelligence.
Some of the unique features of CxL are an exclusive gamified learning environment through the lab (read as CloudxLab), highest rated faculty, excellent student support and more.
Churn the mail activity from various individuals in an open source project development team.
Classify images from the Fashion MNIST dataset using Tensorflow 2, Matplotlib, and Python
Learn how to train a neural network from scratch to classify data using TensorFlow 2, and how to use the weights of an already trained model to achieve classification to another set of data.
Create a custom loss function in Keras with TensorFlow 2 backend.
Learn how to access the pre-trained models(here we get pre-trained ResNet model) from Keras of TensorFlow 2 to classify images.
In this project, you will build a basic neural network to classify if a given image is of cat or not using transfer learning technique with Python and Keras.
Learn how to read a pre-trained TensorFlow model for object detection using OpenCV.
Use TensorFlow 2 to generate an image that is an artistic blend of a content image and style image using Neural Style Transfer.
Predict stock market closing prices for a firm using GRU, a state-of-art deep learning algorithm for sequential data, with Keras and Python.
Create a sentiment analysis model with the IMDB dataset using TensorFlow 2.
Learn how to practically implement the autoencoder, stacking an encoder and decoder using TensorFlow 2, and depict reconstructed output images by the autoencoder model using the Fashion MNIST dataset.
Learn how to deploy a deep learning model as a web application using the Flask framework.
“Sessions were great, pace was also very good. Each of the steps were explained well multiple times to ensure everyone understands the concepts. Thanks Sandeep!”
“Thanks a lot,it was great course! I'm happy that you lead in this path to AI/ML/DL.I hope to continue to collaborate with you in future.”
“Thankyou so much Sandeep for all your great sessions. It will help in our career a lot. Your session is very much explanatory and understandable. Kudos to you.Thanks for all your hard work and time. Definitely, we will recommend all our friends and colleagues to attend your different course.Thanks a ton”
“I have been using CloudxLab for a while now, and they are amazing! The best part about using CloudxLab is that you do not need to wait for someone to tell you whether what you did was right or not, it is done automatically on the go. The training materials are of top notch quality. If you get stuck, they have a huge community of trainers and learners to help you out with all your doubts. They have a course structure for everyone, whether you are new to programming or are a seasoned programmer, they have something to offer you. And they are affordable too! I would recommend CloudxLab all the time.”
“This course is suitable for everyone. Me being a product manager had not done hands-on coding since quite some time. Python was completely new to me. However, Sandeep Giri gave us a crash course to Python and then introduced us to Machine Learning. Also, the CloudxLab’s environment was very useful to just log in and start practising coding and playing with things learnt. A good mix of theory and practical exercises and specifically the sequence of starting straight away with a project and then going deeper was a very good way of teaching. I would recommend this course to all.”
“It has been a wonderful learning experience with CXL. This is one of the courses that will probably stay with me for a significant amount of time. The platform provides a unique opportunity to try hands-on simultaneously with the coursework in an almost real-life coding example. Besides, learning to use algebra, tech system and Git is a good refresher for anyone planning to start or stay in technology. The course covers the depth and breadth of ML topics. I specifically like the MNIST example and the depth to which it goes in explaining each and every line of code. Would definitely recommend the instructor-led course.”
“This is one of the best-designed course, very informative and well paced. The killer feature of machine/deep learning coursed from CloudxLab is the live session with access to labs for hands-on practices! With that, it becomes easy following any discourse, even if one misses the live sessions(Read that as me!). Sandeep(course instructor) has loads of patience and his way of explaining things are just remarkable. I might have better comments to add here, once I learn more! Great Jobs guys!”
Senior Software Developer at Decision Resources Group
11 Months Online Program
08 Months Online Program
You should be proficient in one of the programing languages (python recommended) and machine learning algorithms.
If you are not able to complete the mandatory requirements to earn the certificate before the deadline, you have two options
You can send a mail to reachus@cloudxlab.com requesting for an extension of the deadline which will be chargeable. Once approved, you can complete the remaining within the new deadline.
You can complete 100% of the course at your convenience and earn the certificate from CloudxLab. Click here to see a sample certificate
It is a self-paced course. You will get access to videos, quizzes, hands-on assessments and projects. If you have any doubts during your learning journey, you can post it on the discussion forum. Our experts and community will assist you over there.
For self-paced courses, we provide 100% refund if the request is raised within 7 days from enrollment date.
Please contact us at reachus@cloudxlab.com to request a refund within the stipulated time.
In Self-paced learning, you will get,
Yes, you can renew your subscription anytime. Please choose your desired plan for the lab and make payment to renew your subscription.
Complete at least 60% of the topics of the course along with 3 mandatory projects. All the above requirements need to be met within 90 days from the course enrollment date to be eligible for the certificate from E&ICT Academy, IIT Roorkee
No, we will provide you with the access to our online lab and BootML so that you do not have to install anything on your local machine
We have created a set of Guided Projects on our platform. You may complete these guided projects and earn the certificate for free. Check it out here