This course demystifies Mosaic, an innovative Databricks platform, and equips you with practical skills to design and implement AI workflows that address real-world challenges.

Whether you’re a data scientist enhancing your toolkit, a data engineer seeking optimized pipelines, or a business leader exploring AI’s transformative power, this course delivers actionable insights tailored to your role. Through a combination of theory, hands-on practice, and real-world examples, you'll gain the confidence to harness Mosaic’s architecture for scalable AI workflows, seamlessly integrate it into your projects to unlock business value, and apply proven strategies to optimize workflows and debug processes effectively. Designed to solve the complexity of scaling AI operations, this course bridges the gap between understanding and application, enabling you to take the lead in AI-driven initiatives. By the end, you’ll not only grasp the technical aspects of Mosaic but also its strategic applications, empowering your professional growth and organizational impact. This course is designed for data scientists looking to expand their AI development toolkit, data engineers seeking scalable AI solutions, and AI/ML project managers exploring Databricks for workflow optimization. Business leaders interested in understanding Mosaic’s AI capabilities will also benefit from gaining insights into its potential applications. Learners should have a basic understanding of AI/ML principles and familiarity with Databricks. Prior experience with cloud-based AI tools and workflow automation will be helpful but is not required. By the end of this course, learners will be able to analyze Mosaic’s architecture and its role in AI workflows, create and navigate a Mosaic workspace with confidence, and construct and execute a simple AI workflow. Additionally, they will learn how to integrate Mosaic into real-world AI use cases and assess its overall effectiveness in different scenarios.