Deep Learning workshop using Pytorch is a two-day instructor-led hands-on classroom course. The course graduates from basic level to advanced deep learning topics carefully designed to make it ideal for candidates with or without prior experience in deep learning. This workshop covers various aspects of Artificial Intelligence (AI).
Classroom coaching can make a real difference when it comes to learning. And this workshop is programmed to give that experience to the learner. This will be an intensive workshop with more than 16 hours of training and 4 hours of project/ assignment. If you are looking for an intense learning experience and you are truly willing to totally dedicate the two days of your precious time on a weekend to learn something that will help you in your career, then this workshop is for you!!.
Basics of Machine Learning
Awareness on the basics of python programming
Who Should Attend?
Students and working professionals who are interested in upskilling or reskilling in the area of deep learning
Data science professionals, Data engineers
You do not need any prior experience in deep learning to attend this course. The instructor will handhold participants through the fundamentals of PyTorch programming and introduce you to the world of deep learning. The aim of the course is to make sure participants will have a thorough grasp of deep learning concepts.
Artificial Intelligence: A Brief Overview
Overview of mathematics
Tensorflow vs Pytorch vs Keras
Introduction to Neural Networks & Deep Learning
CNN & RNN
Practical Applications Using pytorch
Neural Network & Deep Learning Case Studies
Cloud-based AI model
Deploying AI models on AWS
Understand Deep Learning
Classroom workshop to get 16 hours and more of hands-on training on pytorch
Knowledge of neural networks, CNN, RNN
Start building your own AI neural networks
Get Certified on Deep Learning using Pytorch from thinkAI org
Working knowledge in deep learning with hands-on pytorch experience
Skills to build deep learning models
Certification of completion on successfully completing the course requirements