This ​​5-hour 20-minute course​​, "Create Machine Learning Models," offers a hands-on introduction to building and evaluating machine learning models using industry-standard tools like scikit-learn, TensorFlow, and PyTorch. Designed for learners with basic mathematical or coding familiarity, the course covers regression, classification, clustering, and deep learning. Interactive Jupyter notebooks and real-world exercises guide you through data exploration, model training, and optimization—all within your browser. Ideal for those aiming to apply ML in Azure ML or Azure Databricks, this path balances foundational concepts with practical tool mastery.

"Understand Data Science for Machine Learning" is a 7-hour 25-minute course designed for learners with minimal mathematical or technical background. This beginner-friendly path breaks down core machine learning concepts through interactive Jupyter notebooks, metaphors, and visuals. Covering foundational topics like supervised learning, regression, classification, and model evaluation, it emphasizes hands-on understanding over advanced tools. Perfect for those new to ML or seeking intuitive explanations, the course balances theory with practical exercises to demystify data science workflows and prepare learners for deeper exploration of AI.

"Discover Microsoft AI for Leaders in Sustainability" is a 3-hour 20-minute course designed for sustainability-focused business leaders seeking to integrate AI into their organizational strategies. Spanning five modules, this learning path covers AI fundamentals, ethical governance, scaling strategies, and real-world sustainability applications. From leveraging Microsoft's AI tools like Azure AI, Power Platform, and Copilot to adopting responsible practices and aligning AI with environmental goals, the course provides actionable insights to drive innovation while balancing ethical and sustainability priorities.

"Create and Publish Agents with Microsoft Copilot Studio" is a 4-hour 52-minute course designed to equip learners with practical skills for building AI-powered conversational agents. Through six comprehensive modules, you'll master foundational concepts like topic creation, entity extraction, and variable management. The course emphasizes hands-on workflows, including integrating Power Automate flows and leveraging generative AI for dynamic responses. Ideal for business analysts and developers, this training bridges no-code automation with enterprise-grade AI solutions, enabling you to deploy agents for customer support, employee assistance, or workflow automation.

"Create Agents in Microsoft Copilot Studio" is a 5-hour 9-minute course designed to teach users how to build and customize AI-powered conversational agents using Microsoft Copilot Studio. Targeted at business analysts, developers, and non-technical users, this hands-on training covers foundational to advanced topics—from agent creation and topic management to integrating Power Automate workflows and Dataverse for Teams. With a focus on low-code/no-code solutions, the course empowers learners to design intelligent agents for customer support, employee assistance, or process automation. A guided project reinforces practical skills, ensuring learners can deploy agents that streamline workflows and enhance user interactions.

"Design a Machine Learning Solution" is a 2-hour 12-minute Microsoft Learn course focused on designing end-to-end ML workflows using Azure services. It guides learners through critical decision points in data ingestion, model training, deployment, and MLOps, emphasizing scenario-based service selection. The course is ideal for data engineers and ML practitioners aiming to align technical choices with real-world requirements like scalability, integration, and monitoring. Modules include hands-on exercises for designing data pipelines, optimizing training workflows, and operationalizing models in production.

"Introduction to Generative AI for Trainers" is a 2-hour 36-minute course designed to empower educators and corporate trainers with AI-driven tools for creating dynamic learning experiences. Covering four modules, it explores foundational concepts of generative AI, practical applications of Microsoft Copilot for content creation, and AI-powered image generation techniques. Learners will discover how to craft effective prompts, generate diverse visual materials, and integrate ethical AI practices into training workflows. The course balances theoretical insights with hands-on exercises, making it ideal for professionals seeking to enhance engagement and efficiency in educational design.

"Implement Operational Databases in Microsoft Fabric" is a 3-hour 33-minute course designed for professionals seeking to master transactional database management and data orchestration within Microsoft Fabric's unified analytics platform. This learning path covers SQL Database creation, GraphQL API integration, and pipeline-driven data workflows. Participants will learn to secure databases, leverage Copilot for SQL optimization, mirror external data sources, and orchestrate ETL processes using Fabric’s Data Factory tools. Hands-on exercises include building GraphQL endpoints and automating data ingestion pipelines, making it ideal for developers and data engineers aiming to unify OLTP and analytics workflows in Fabric's SaaS ecosystem.

"Discover Microsoft AI for Leaders in Finance" is a 3-hour 18-minute course tailored for financial services (FSI) leaders aiming to integrate AI into their organizations responsibly and strategically. This learning path covers AI tools, ethical frameworks, scaling strategies, and real-world financial use cases. From leveraging Microsoft's AI ecosystem (Copilot, Power Platform, Azure AI) to adopting governance models and customer success stories, the course equips leaders to drive innovation in areas like risk management, fraud detection, and customer engagement while aligning with compliance and ethical standards.

"Prepare Your Organization for Microsoft 365 Copilot" is a 1-hour 24-minute course designed for IT administrators and business leaders to implement and secure Microsoft 365 Copilot effectively. It covers deployment prerequisites, data preparation for AI-driven searches, license assignment, and compliance strategies. The course emphasizes integrating SharePoint Advanced Management tools, leveraging Microsoft 365 security features like sensitivity labels, and adopting governance frameworks to protect sensitive data. With practical guidance on extending Copilot's capabilities and driving organizational adoption, this training ensures businesses align AI deployment with compliance mandates such as GDPR and CCPA.