32 hours | 8 weekends | 2 hours/day
This Program equips you with a thorough understanding of Deep Learning concepts which can be applied to accomplish Natural Language Processing and Computer vision Tasks using the Tensorflow.
Artificial Intelligence (AI) has been transforming multiple industries. If you are looking to break into AI, this program will help you become adept at Deep Learning, one of the most sought after skill in technology. All the major advancements in AI can be attributed to the field of Deep Learning.
This program provides a thorough introduction to Deep Learning, and how it can be applied to various Natural Language Processing (NLP) and Computer Vision tasks. You will not only learn the theoretical foundations but also gain practice in implementing these concepts using TensorFlow, an Industry leading framework to build Deep Learning models. Throughout this program, students will gain practical know-how so that they can effectively apply Deep Learning techniques to solve new problems.
The program will also draw from numerous case studies and applications, you will also learn how to apply learning algorithms to build Chatbots, computer vision, etc.
Live and interactive instructor sessions
Learn from the practising experts in the Industry
Sessions include hands-on projects in live labs
Learning Management System to reinforce learning
Real-life cases from industry part of the curriculum
Experience end-to-end project completion in the program
At the end of this program the participant would:
Understand Core Machine Learning and Deep Learning concepts
Learn to optimize Deep Learning models.
Understand Key Deep Learning algorithms e.g. CNN, RNN, LSTM, GRU
Learn to utilize TensorFlow, a Deep Learning framework, to build DL models
Apply Deep Learning models on various NLP(Natural Language Processing) and Computer Vision tasks.
Learn to deploy a trained model in Production
Program consists of 32 hours of blended sessions including instructor-led sessions and online assignments, conducted as 2 hour live-online weekend classes by an instructor over 8 weekends. Online assignments are self-paced with mandatory submissions. Learning Management System supports all online activates including labs
Participants are expected to have a basic understanding of Python programming. Participants should have a bachelor’s degree in engineering, science or economics.
Computer- preferably Windows 7 or higher/ Mac OS installed
Operating System- Windows (Version XP or later) / Mac OS X with XQuartz
Minimum 8 GB RAM on the system