PyTorch Basics
PyTorch, neural networks, AI training, deep learning, model deployment, industry applications, machine learning, real-world AI, advanced architectures
Skills you will gain:
PyTorch – Use in AI is an intensive course tailored for M.Tech, M.Sc, and MCA students, as well as E0 & E1 level professionals interested in mastering this powerful deep learning framework. The course covers PyTorch fundamentals, neural network construction, model training, and real-world applications, preparing participants to tackle complex AI challenges in various industries.
Aim: This course aims to provide an in-depth understanding of PyTorch, its applications in AI from basic concepts to advanced model architectures, and hands-on guidance on building and deploying neural network models.
Program Objectives:
- Mastering PyTorch: Gain comprehensive knowledge and hands-on experience with PyTorch.
- Neural Network Proficiency: Become proficient in designing and implementing various types of neural networks.
- Practical AI Solutions: Develop practical AI solutions that can be deployed in real-world environments.
What you will learn?
- Introduction to PyTorch:
- Basics of PyTorch, its comparison with other AI frameworks, and initial setup instructions.
- Building Blocks of Neural Networks:
- Detailed exploration of layers, activation functions, and the construction and debugging of neural networks.
- Training Models:
- In-depth coverage of loss functions, optimization algorithms, and effective training and validation techniques.
- Advanced PyTorch:
- Advanced topics such as convolutional and recurrent neural networks, transfer learning, and fine-tuning.
- Real-World Applications:
- PyTorch applications in industries like healthcare and autonomous vehicles, and strategies for deploying PyTorch models.
- Projects and Assessments:
- A capstone project that encompasses designing, building, and presenting a PyTorch-based AI solution.
Intended For :
- Advanced students and professionals in M.Tech, M.Sc, and MCA programs.
- E0 & E1 level professionals in fields such as IT, BFSI, consulting, and fintech.
Career Supporting Skills