Deep Learning with NLP & Computer Vision

This course is meticulously designed to provide participants with an in-depth understanding of cutting-edge deep learning techniques and their applications in Natural Language Processing (NLP) and Computer Vision.

This comprehensive program covers fundamental concepts, such as neural networks and convolutional networks, and delves into advanced topics like recurrent neural networks, transformers, and generative adversarial networks.

Learners will explore practical implementations and use cases in NLP, including text classification, sentiment analysis, and machine translation, as well as in Computer Vision, such as image classification, object detection, and image generation. 

Through hands-on projects, interactive sessions, and real-world examples, participants will acquire the skills to develop and deploy sophisticated deep learning models. Online training as well as classroom training is available in Pune. 

Key Topics in our Deep Learning Course:

• Deep learning course is designed to equip individuals with robust foundation for understanding and applying deep learning techniques across various domains. Real-world problem solving and applications of deep learning.
• Neural Networks
• Artificial Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)
• Computer Vision and Image Processing
• Constructing Computer Vision & NLP Pipeline
• Object Detection
• Object detection techniques and its applications
• Generative Models for Image Synthesis
• Generative models and their applications

Our Deep Learning Course Is Designed To Meet Current Market Demand:

• This course is structured to help learners understand what, why & how of technology. 
• – What is the industrial use of ML & AI?  How companies are using deep learning to solve business problems and reduce operational cost? 
• – Why to choose one solution over other? When there are multiple options to solve a problem, what is the impact of each solution? Why choose this approach and not that approach is based on doing impact analysis, understanding constraints and risk assessment.
• – How to implement a ML/AI solution? How to test and train AI model? How to use data to help AI model learn and improvise.
• To design an AI solution, one needs to have solid understanding of AI & deep learning. To implement the solution, one must have deep understanding of underlying technologies like python, SQL, Neural networks, NLP and computer vision. An industry solution often cuts across all concepts talked above hence knowledge of each concept is needed.
• In this course, you will learn the skills needed to work in AI/ML field. Learners will do multiple capstone projects. You will do two capstone projects on computer vision involving object detection and face recognition. You will also do one project on recommendation system while is hugely used by ecommerce companies like Amazon, Flipkart & Mantra.