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Course Code: 834128
This course covers building secure and scalable AI infrastructure, managing the full lifecycle of traditional machine learning models with Azure Machine Learning, and deploying, evaluating, monitoring, and optimizing generative AI applications and agents using Micros...
Course Code: 840002
This course provides a practical introduction to working with modern AI tools, with a focus on building confidence and capability in prompt engineering. Participants will explore how technologies like ChatGPT and other large language models function, and how they can...
Course Code: 834124
This course introduces Microsoft Dynamics 365 Contact Center, focusing on its core features and user experiences. Participants will gain an understanding of the platform’s work allocation capabilities, learn how conversations are efficiently routed, and explore the d...
Course Code: 834125
This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in y...
James Michael Stewart discusses 10 ways everyone should focus on key issues regarding to approaching Cybersecurity in 2015 for their organization. Learn more.
Big data is getting bigger. Companies like IBM are rising to meet the challenge. Learn more about initiatives like the OpenPower Foundation and open source programs like Linux that improve your processing capabilites.
Find out which training path is best to earn your Cisco Certified Network Associate (CCNA) Routing and Switching certification with some self-assessments, information about exam requirements and recommendations for test preparation.
In this excerpt from his new book, Accelerating Leadership Development, Jocelyn Bérard, Vice President, Leadership and Business Solutions, Global Knowledge, examines the importance of communication in an organization and present practical concepts for leaders to apply easily.
Learn more about data breaches on a large-scale level and what can and can't be done about them.
A look at five basics to consider in any data center virtualization project: planning, balancing the various hardware components, sizing the storage properly, managing capacity, and automation.
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