GreyCampus AI Foundations using TensorFlow 32 hours 8 weeks 2 hours/day www.greycampus.com
Program Overview Artificial Intelligence (AI) has been transforming multiple industries. At the same time, all the major advancements in AI can be attributed to the field of Deep Learning. If you are looking to break into AI, this program will help you become good at Deep Learning, one of the most sought after skill in technology. 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 learn practical know-how to effectively apply deep Learning techniques to work on new problem. The program will also draw from numerous case studies and applications, so that you ll also learn how to apply learning algorithms to build Chat bots, computer vision etc.
Program Benefits Live Sessions Live and interactive instructor sessions Top Instructors Learn from the practising experts in the industry Hands-on Labs Sessions include hands-on projects in live labs LMS Learning Managements System to reinforce learningt Case Studies Real-life cases from industry part of the curriculum Projects Experience end-to-end project completion in the program
Program Outcome 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
Our Faculty Kumar Rahul Data Analytics - IIMB Rahul has over 12 years experience in the data analytics space working with top companies like Deloitte where he was involved in software development, business consulting, analytical modeling and leading process improvement initiatives. Rahul teaches at IIM Bangalore and an active thought leader in the data science space. Rahul has led several global projects involving complex business analytics with Fortune 50 companies. Lavita Singhania Data Scientist Lavita has over 9 years experience as a data scientist and business analyst. She is currently a Senior Consultant at Cartesian Consulting where she has worked on implementing the entire Customer Lifecycle management journey using advanced Analytics and contributed to significantly increasing margins of top brands. She has facilitated around 450+ hours of training in the data science field.
Program Curriculum Understanding AI Using TensorFlow Understanding Deep Learning Improving Deep Learning Networks: Hyperparameter tuning, Optimization Convolution Neural Networks CNN Architectures and Transfer Learning Representing Textual data using Word2Vec models Recurrent Neural Networks Seq2Seq models and Machine Translation Deploying a trained model Building a Chatbot * Participants will undertake any two projects with an end-to-end development experience
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