Creating Machine Learning Models with Python and Red Hat OpenShift AI Training

Last Updated: 03 06 2025

This course provides a wide introduction to Python programming and foundational machine learning concepts, which prepares learners to create and deploy intelligent solutions.

Designed for the aspiration of data scientists and developers, it examines the formation of machine learning models using the role of Python in data analysis and practical, hands-on laboratories on the hands. Participants will understand supervised, unsafe, and reinforcement learning, and the Red Hat OpenShift AI will receive exposure for workflows training.

The learners will dive into the real-world dataset, train models efficiently, and implement neural network and deep learning techniques to solve complex problems. Emphasis is placed on adopting model evaluation, feature engineering, and moral AI practices. The course also touches on the importance of scalability and continuous improvement by introducing online machine learning methods.

Threat through Red Hat OpenShift AI, participating data from data ingestion to deployment, will practice the management of the ML life cycle. This training gives students the right to produce production-ready models by mastering both the Python coding skills and the platform-specific equipment that supports enterprise AI development.

Learning Options for You

  • Live Training (Duration : 40 Hours)
  • Per Participant

Fee: On Request

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