Description
AI and ML PyTorch Coders
AI and ML PyTorch Coders is your ultimate guide to mastering artificial intelligence and machine learning using the powerful PyTorch framework. Whether you’re a budding developer or an experienced coder looking to upgrade your skills, this course offers the perfect blend of theory and hands-on practice.
Course Description
This comprehensive course demystifies the concepts of Artificial Intelligence and Machine Learning by offering clear explanations, practical coding exercises, and real-world applications—all within the PyTorch environment. You’ll begin with foundational concepts and gradually progress to advanced model building. From building neural networks to optimizing deep learning models, every topic is presented with clarity and real-world relevance.
You’ll also learn how to preprocess datasets, perform model evaluation, and deploy AI solutions. Unlike theoretical-heavy courses, this one is built for coders who love to build as they learn. Moreover, each section contains actionable projects that solidify your understanding while building a portfolio you can showcase.
What You’ll Learn
- Core principles of Artificial Intelligence and Machine Learning
- Building neural networks from scratch using PyTorch
- Supervised and unsupervised learning techniques
- Data preprocessing, model training, and validation
- Working with computer vision and NLP projects
- Deploying PyTorch models to production environments
Requirements
- Basic understanding of Python programming
- Familiarity with NumPy and Pandas is helpful
- No prior experience in AI/ML required
About the Publication
This course is created by industry experts who have worked extensively with PyTorch and AI deployment in real-world scenarios. With a deep understanding of how to teach technical concepts in a simple, digestible format, the instructors ensure you’re learning in the most efficient way possible.
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