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Deep Learning

Master the fundamentals of Deep Learning and neural networks with hands-on projects. Learn about artificial neural networks (ANNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep learning frameworks like TensorFlow and PyTorch.

Satyajit Pattnaik

Expert in Generative AI, ML, NLP & Data Engineering

Here’s what you will learn?

  • Understand Deep Learning Fundamentals
  • Build Neural Networks from Scratch
  • Work with Deep Learning Frameworks
  • Work on Real-World Projects

This Course Includes

  • Recorded Lessons:  33
  • Recorded Hours:  5hr 50min
  • Certificate of completion
  • Access on Mobile

Course Description

This Deep Learning course is designed to help you understand and master the core concepts of deep neural networks. You will learn how to build, train, and optimize deep learning models using frameworks like TensorFlow and PyTorch. The course covers essential topics such as artificial neural networks (ANNs), convolutional neural networks (CNNs) for image processing, recurrent neural networks (RNNs) for sequence data, and deep reinforcement learning.

Through practical hands-on projects, you will gain experience in solving real-world problems in fields like computer vision, natural language processing (NLP), and AI-driven applications. Whether you're a beginner or an experienced data scientist, this course will equip you with the knowledge and skills to implement cutting-edge deep learning solutions.

Course Content

33 Lessons | 5hr 50min

About the instructor
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Satyajit Pattnaik

Expert in Generative AI, ML, NLP & Data Engineering

Satyajit Pattnaik has 13+ years of experience in AI, Data Analytics, and Data Science across industries such as telecom, cybersecurity, insurance, and e-commerce. With over a decade of training and teaching experience, he has conducted numerous sessions on Data Science, ML, and AI. He has also been a keynote speaker at international conferences and universities across the APAC region.

Frequently Asked Questions

Understand the principles of deep learning and how neural networks work, Build, train, and ev, Gain hands-on experience by working on real-world projectsaluate neural network models

Yes, the course will balance both theory and hands-on practice. You'll learn the mathematical concepts and algorithms behind deep learning, and also apply them to real-world datasets and projects.

Deep Learning Engineer, Data Scientist, Machine Learning Engineer, AI Researcher, Computer Vision Engineer

Yes! This course is designed to be beginner-friendly, and we’ll guide you through each concept step-by-step. If you have basic Python knowledge, you'll be able to keep up with the course content.

Neural networks and their architecture, Training deep neural networks, Backpropagation and optimization techniques and many more
Deep Learning
(4.1)
5hr 50min
₹999 ₹1798
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