Open source software and standards are driving the transition to 5G, AI and IoT. Learn what open source technologies matter most and why.

Learn how PyTorch, a deep learning framework, can be used to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will also help you understand the importance of data quality, how to choose the right model, and the challenges in deploying and maintaining both deep learning and machine learning applications.

This course will teach you the theory and code behind General Adversarial Networks (GANs). GANs are self-evaluating and self-improving networks that can create the stunning results you see in generated photos, videos, and sounds.

This course will teach you different types of recommendation techniques to suggest new items based on users' past interaction history in order to improve the overall user experience and increase the sales and revenue for the enterprise.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Learn how to operationalize large language models for practical applications in various domains.

Machine Learning, What is machine learning ?, How machine learning works, Machine learning methods, Reinforcement machine learning, Deep learning and Real-world machine learning use cases

Master machine learning fundamentals for retail analysis. Learn how to apply AI techniques to optimize inventory, pricing strategies, and customer insights to boost retail business performance.

Detailed machine learning, and deep learning concepts and case studies with implementation

Acquire the skills needed to build and deploy machine learning models using Microsoft Azure's tools and services.

A complete guide to master machine learning concepts and create real world ML solutions

Explore machine learning techniques for developing trading algorithms and strategies in financial markets.