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Exclusive – In this course we will cover the foundations and advanced concepts surrounding the integrity of data in modern management systems. In today's digital age, the importance of data integrity cannot be overstated. As data becomes increasingly central to business operatio...

Exclusive – Learners will identify the unique characteristics and challenges of AI/ML projects, understand common AI/ML terminology, evaluate and mitigate AI-specific risks, and lead and communicate effectively with cross-functional teams as well as key business stakeholders. Us...

Exclusive – As artificial intelligence becomes increasingly embedded in critical systems, managing its risks is no longer optional—it’s essential. This two-day, hands-on course is designed to equip AI practitioners, cybersecurity professionals, risk managers, and compliance lead...

This course provides students with the knowledge and skills to design and develop AI enabled database solutions across Microsoft SQL platforms, including SQL Server, Azure SQL, and SQL databases in Microsoft Fabric. It is intended for professionals who build modern d...

This course is intended for experienced technology professionals who are responsible for planning, designing, and guiding AI-powered business solutions using Microsoft platforms. This course assumes familiarity with Microsoft business applications, cloud concepts, an...

In this course, learners focus on deploying and configuring contact center environments, including embedded and standalone modes, connecting data sources and third party Contact Center as a Service (CCaaS) solutions, and enabling Copilot and agent capabilities that e...

This course teaches learners how to design, configure, and govern AI enhanced sales solutions using Dynamics 365 Sales, Microsoft Copilot, and AI agent capabilities to support sellers across the lead to cash process. Learners translate business requirements into prac...

Get hands-on experience designing and building data processing systems on Google Cloud.

Learn advanced Python skills for data analysis, visualizations, and big data processing.

This course builds upon and extends the DevOps practice prevalent in software development to build, train, and deploy machine learning (ML) models.