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This course provides an introduction into key AI terminology and tools and what they mean for society. It covers the ethical and sustainable AI challenges, key AI enablers like data, and future of AI – human interaction in the workplace.

This course equips candidates with knowledge of key AI techniques, their use in the real world and their impact on our lives. It covers the historical journey of AI, the advantages and challenges of ethical and sustainable AI, the key enablers of AI including data, and the future interplay between AI and human roles in the workplace.

This training focuses on the changing landscapes of cybersecurity with artificial intelligence including generative AI. It covers recommendations and guidelines along with scenarios on various attacks, exploits, vulnerabilities, and remedies.

Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) provides students with the fundamental knowledge to manage the complete life cycle of modern AI applications. This course helps students build core skills for using Red Hat OpenShift AI to efficiently train, test, deploy, and monitor both predictive and generative AI models at scale.