Kurse
2865 Kurse
Responsible AI in Practice: Fairness, Bias & Explainability
Explore fairness metrics, bias mitigation, and explainability techniques like LIME and SHAP to build transparent, privacy-aware, and trustworthy AI systems.
Design Thinking for Digital Agriculture
Explore how design thinking and human-centered design can transform digital agriculture, from empathizing with farmers to prototyping, scaling, and ethically communicating innovative agtech solutions.
People Analytics with AI: Data-Driven HR Strategies
Master people analytics and AI techniques to solve HR challenges, build workforce dashboards, and translate data-driven insights into strategic recommendations for talent management and workforce planning.
Deep Learning: Train Neural Networks and Deploy with Docker
Master the full deep learning pipeline—design and train neural networks with PyTorch and TensorFlow, track experiments, serve models via FastAPI, and deploy scalable apps using Docker.
Microsoft Advanced Analytics Techniques with Generative AI
Master advanced analytics by combining R, Power BI, Excel, and Azure with generative AI to build predictive models, automate workflows, and deliver strategic insights across five hands-on courses.
Microsoft Excel & Copilot: From Basics to AI
Master Excel and Microsoft Copilot through three practical courses, automating tasks, visualizing trends, and extracting AI-driven insights to meet industry demands in tech, finance, and marketing.
Managing AI Projects with Microsoft
Master AI project management with Microsoft Azure, translating business goals into structured delivery plans, managing stakeholders, risks, and governance across the full AI lifecycle.
Running AI as an Enterprise Capability
Explore how to sustain AI initiatives in enterprises through governance, risk oversight, compliance, and value measurement to balance innovation with accountability.
Introduction to Secure Networking
Explore foundational networking concepts, TCP/IP, OSI models, network security, and cloud computing to build IT support skills and prepare for the Microsoft MS-900 exam.
Scenario and Root Cause Analysis with Generative AI
Explore how to apply generative AI for scenario planning, root cause analysis, and risk assessment to develop data-driven strategies and enhance decision-making.
Practical AI Strategy and Azure Service Selection
Develop judgment for AI strategy decisions using Azure services, including Microsoft Foundry and Azure OpenAI, to assess opportunities, define requirements, and guide enterprise AI initiatives effectively.
Leading Cross-Functional AI Delivery
Master cross-functional AI project delivery using agile frameworks, Azure DevOps, and generative AI tools to coordinate teams, manage risks, and drive initiatives from concept to completion.