Deep Learning with NLP & Computer Vision

Overview of Deep Learning Course

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. 

 

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Our Deep Learning course is designed to help you gain expertise in NLP & Computer Vision.

Key Topics in our Deep Leaning 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

Deep learning course in Pune.

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.

What is the expected outcome of this Deep Learning course?

After completing this Deep Learning course, you will have technical skills and exposure to real business use cases of AI.

Through hands on practical on real scenarios, you will gain deep knowledge in all aspects of deep learning and AI. Post completion of course, you will be able to apply for various AI jobs in top notch companies. Practical exposure to industry application of AI will boost your CV which will get shortlisted by almost all companies looking for AI skilled professional.

Post this course you will be able to start your career in ML & AI. It will give a significant boost to your career.

To implement an AI solution, you need python coding skills and good logical thinking. Ability to think, understand constraints and do impact analysis of any solution is critical. Since the base of entire AI/ ML solution is data hence one must be comfortable with python coding and handling database.

This course is suitable for learners who do not fear coding and eager to learn technical skills. Computer science background is an added advantage. Professionals working as data analyst can enroll in this course to upskill and transition their career into AI field.

For designing an AI solution to a business problem, you do not need coding skills. But to implement the solution, you definitely need to learn technical skills like Python, Data structure, neural network, computer vision and NLP. You need good python coding and database management skills to fetch, analyze and interpret huge volumes of data. 

Yes, duration of our deep learning course in Pune is 3 to 4 months.  In this classroom training program, you will learn all skills needed to get job as ML engineer and make career in AI filed.

For learners who are staying in Pune or nearby Pune area can join our classroom training program of Machine learning and Artificial Intelligence.  
We also have online classes available.

Demand for AI skilled professionals is increasing by 30% every year. There is a huge demand for AI professionals but there is shortage of resources who are having practical exposure or needed knowledge.
Our Deep Learning Course is aligned with the current market demand, ensuring that participants acquire the most relevant and in-demand skills in the field of artificial intelligence. We focus on practical implementations, industry best practices and real-world use cases, our curriculum will prepare learners to tackle complex challenges. Multiple capstone projects are part of the curriculum to give hands on experience to learners. Our training program covers in-depth discussion on industry application of AI & Deep learning.

Recruiters mainly look for technical expertise, problem solving skills and communication skills. As an institute we take care of technical and analytical aspects. Our training program will make you a technically sound candidate with good analytical skills.

Yes, Deep learning trainer is currently working as AI expert in a MNC in Pune. He has completed multiple AI projects and currently leading a team of AI professionals. Trainer has conducted multiple college seminars and corporate workshops.

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