This 1-hour 5-minute Microsoft Learn path empowers professionals to enhance productivity using Microsoft Copilot, an AI-powered assistant for both personal and work projects. Designed for all skill levels, the course teaches effective prompt engineering, content generation strategies, and practical applications through hands-on exercises. Learners will discover how to leverage Copilot for research optimization, creative ideation, and workflow automation without requiring technical expertise.

This 6-hour 38-minute immersive learning path equips professionals across departments to maximize Microsoft 365 Copilot's capabilities through role-specific scenarios. Designed as a cross-functional playbook, it features 8 modules covering executive leadership, sales, IT, marketing, finance, HR, operations, and real-world challenges. Learners engage in hands-on exercises simulating boardroom decision-making, sales pipeline optimization, compliance reporting, and AI-driven talent management, culminating in a capstone challenge requiring autonomous problem-solving.

This 1-hour 57-minute Azure Machine Learning course teaches production-ready techniques for training models using scripts. Through 3 practical modules, learners master converting Jupyter notebooks to executable scripts, tracking experiments with MLflow, and optimizing models via hyperparameter tuning. Designed for data engineers and ML practitioners, it bridges the gap between experimental code and scalable cloud workflows using command jobs and sweep jobs.

This 4-hour 27-minute comprehensive learning path equips developers and AI practitioners with end-to-end skills to build enterprise-grade copilot solutions. Covering generative AI fundamentals, Microsoft Copilot Studio implementation, Azure AI service integration, and RAG-based application development, it bridges theoretical AI concepts with practical implementation. Learners progress from transformer architecture understanding to deploying custom AI agents grounded in proprietary data using Azure AI Foundry.

This comprehensive 7-hour 47-minute learning path equips developers to build advanced natural language processing solutions using Azure AI Services. Covering 9 technical modules, learners master text analysis, conversational AI, custom classification, speech translation, and audio-enabled generative apps. From foundational language understanding to multi-modal AI implementations, the course combines Azure AI Language and Speech services with real-world application scenarios for enterprise-grade NLP development.

This 7-hour 36-minute learning path empowers developers to build enterprise-grade generative AI solutions using ​​Azure AI Foundry​​. Covering 8 comprehensive modules, you'll master everything from initial AI solution planning to deploying fine-tuned language models. Learn to implement RAG patterns, optimize prompts with Prompt Flow, ensure responsible AI practices, and evaluate model performance. Ideal for AI engineers and developers, this course blends practical SDK workflows with strategic model management for creating conversational AI apps grounded in your proprietary data.

This 2-hour 7-minute course, ​​"Bring AI to Business Users in Your Organization,"​​ equips business leaders and non-technical teams to harness Microsoft Power BI and Power Platform for AI-driven decision-making. Through two targeted modules, you’ll learn to create interactive dashboards, automate workflows, and integrate AI insights into daily operations. Designed for professionals across departments, this training bridges the gap between data and action, empowering organizations to democratize AI tools without requiring coding expertise.

This 7-hour 36-minute learning path empowers developers to build enterprise-grade generative AI solutions using ​​Azure AI Foundry​​. Covering 8 comprehensive modules, you'll master everything from initial AI solution planning to deploying fine-tuned language models. Learn to implement RAG patterns, optimize prompts with Prompt Flow, ensure responsible AI practices, and evaluate model performance. Ideal for AI engineers and developers, this course blends practical SDK workflows with strategic model management for creating conversational AI apps grounded in your proprietary data.

This 7-hour 36-minute learning path empowers developers to build enterprise-grade generative AI solutions using ​​Azure AI Foundry​​. Covering 8 comprehensive modules, you'll master everything from initial AI solution planning to deploying fine-tuned language models. Learn to implement RAG patterns, optimize prompts with Prompt Flow, ensure responsible AI practices, and evaluate model performance. Ideal for AI engineers and developers, this course blends practical SDK workflows with strategic model management for creating conversational AI apps grounded in your proprietary data.

This ​​5-hour 27-minute course​​, "Implement Data Science & Machine Learning Solutions for AI in Microsoft Fabric," equips learners to master end-to-end AI workflows using Microsoft Fabric. Covering data exploration, preprocessing with Data Wrangler, model training with MLflow, and batch predictions, this training bridges theory and practice. Designed for data professionals, it offers hands-on exercises to build, manage, and deploy scalable machine learning models—all within Microsoft Fabric’s unified analytics platform.