Mastering PyTorch - 100 Days: 100 Projects Bootcamp Training
What you'll learn
- Understand PyTorch fundamentals, including tensors and computation graphs
- Build and train neural networks using PyTorch’s nn_Module
- Preprocess and load datasets with DataLoaders and custom datasets
- Implement advanced architectures like CNNs, RNNs, and Transformers
- Perform transfer learning and fine-tune pre-trained models
- Optimize models using hyperparameter tuning and regularization
- Deploy trained models using TorchScript and cloud services
- Debug and troubleshoot deep learning models effectively
- Develop custom layers, loss functions, and models
- Collaborate with the PyTorch community and contribute to open-source projects
Requirements
- Basic Computer Skills: Familiarity with using a computer and installing software
- Python Programming: Basic knowledge of Python (variables, functions, loops)
- Mathematics: Understanding of basic algebra, linear algebra, and calculus concepts (vectors, matrices, derivatives)
- Machine Learning Basics (optional): Awareness of ML concepts like models, training, and evaluation is helpful but not mandatory
- Enthusiasm to Learn: A willingness to learn through hands-on projects and experiments
Description
The "Mastering PyTorch: From Basics to Advanced Deep Learning Training" course is a complete learning journey designed for beginners and professionals aiming to excel in artificial intelligence and deep learning. This course begins with the fundamentals of PyTorch, covering essential topics such as tensor operations, automatic differentiation, and building neural networks from scratch. Learners will gain a deep understanding of how PyTorch’s dynamic computation graph works, enabling flexible model creation and troubleshooting.
As the course progresses, students will explore advanced topics, including complex neural network architectures such as CNNs, RNNs, and Transformers. It also dives into transfer learning, custom layers, loss functions, and model optimization techniques. Learners will practice building real-world projects, such as image classifiers, NLP-based sentiment analyzers, and GAN-powered applications.
The course places a strong emphasis on hands-on implementation, offering step-by-step exercises, coding challenges, and projects that reinforce key concepts. Additionally, learners will explore cutting-edge techniques like distributed training, cloud deployment, and integration with popular libraries.
By the end of the course, learners will be proficient in designing, building, and deploying AI models using PyTorch. They will also be equipped to contribute to open-source projects and pursue careers as AI engineers, data scientists, or ML researchers in the growing field of deep learning.
Who this course is for:
- Beginners in AI/ML: Those with no prior deep learning experience but eager to learn PyTorch from scratch
- Data Science Enthusiasts: Aspiring data scientists looking to add PyTorch to their ML toolkit
- Developers and Engineers: Software developers transitioning into AI and deep learning roles
- Researchers and Academics: Those exploring cutting-edge ML research using PyTorch
- Career Switchers: Professionals transitioning to AI-related careers
Instructors
- 4.5 Instructor Rating
- 3,859 Reviews
- 203,674 Students
- 68 Courses
Vivian Aranha is an experienced technology professional with a strong academic foundation and a passion for innovation in Artificial Intelligence. He earned his Bachelor’s degree in Information Technology in 2004, followed by a Master’s degree in Computer Science in 2006. Since then, Vivian has accumulated nearly two decades of experience across diverse roles in the tech industry, contributing to cutting-edge projects and technological advancements.
Over the past eight years, Vivian has been deeply involved in the field of Artificial Intelligence, working on impactful AI projects spanning machine learning, deep learning, and intelligent systems. His expertise extends beyond technical implementation, as he has also dedicated significant time to teaching and mentoring peers and aspiring AI professionals. Vivian combines his deep technical knowledge with a talent for simplifying complex concepts, empowering students and professionals to excel in the ever-evolving AI landscape.
With a commitment to continuous learning and knowledge-sharing, Vivian Aranha is not only building intelligent systems but also shaping the next generation of AI innovators.
- 4.5 Instructor Rating
- 3,789 Reviews
- 144,013 Students
- 63 Courses
We are your one-stop shop for all AI training needs. Since 2010, our expert instructors have been delivering top-tier education across cutting-edge technologies. Whether you’re a beginner or looking to advance your skills, our comprehensive training programs are designed to equip you with practical knowledge and real-world experience. From foundational AI concepts to advanced machine learning and deep learning techniques, we cover it all. Join us to gain hands-on expertise, guided by industry veterans committed to your success. Unlock your potential and stay ahead in the evolving world of artificial intelligence with training you can trust and results you can see.