AED
UAD Dirham
Code: AED
AI · Beginners · Live online
PyTorch Basics
PyTorch, neural networks, AI training, deep learning, model deployment, industry applications, machine learning, real-world AI, advanced architectures
★ 4.2 (28 ratings)3 weeksCertificate
About This Course
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.
Program Structure
- 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.
Who Should Enrol?
- 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.
Program Outcomes
- Advanced PyTorch Skills: Proficiency in using PyTorch for AI model development and deployment.
- Industry Readiness: Preparedness to apply AI skills in real-world industry settings.
- Innovative Thinking: Enhanced ability to innovate in AI with the latest PyTorch techniques.
Fee Structure
Discounted: ₹8499 | $190
We accept 20+ global currencies. View list →
Frequently asked questions
Will I get the recording?
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
What if I miss a live session?
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Do I get a certificate?
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Which fee category applies to me?
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy