Microsoft Courses

Service Operations Management

Master service operations by managing ticket routing, SLA performance, vendor selection, and refund compliance using CRM systems and data-driven frameworks to streamline workflows and ensure policy-aligned delivery.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Team Effectiveness

Strengthen team collaboration in customer service by mastering shift handoffs, peer feedback, performance reporting, and onboarding using CRM data, dashboards, and AI-assisted tools.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

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.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Advanced Data Analysis with Generative AI

Master advanced data analysis techniques—predictive modeling, time-series forecasting, anomaly detection, and text analysis—using generative AI tools to uncover hidden patterns in complex datasets.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Advanced Data Applications and Integration

Master advanced R programming by collecting web data, building interactive visualizations, handling large datasets, and integrating cloud services like Azure into end-to-end data pipelines.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Back End Development with .NET

Master back-end development with .NET and ASP.NET Core—build APIs, manage routing, handle serialization, integrate OpenAPI, and leverage Microsoft Copilot for efficient coding. No prior experience needed.

• Coursera
• 5 weeks, 9 hours a week
• Self-Paced
• Paid Course

Coding and Automation for Data Analysis with Generative AI

Master AI-powered code generation for data analysis using SQL, Python, and R. Build automated pipelines, optimize formulas, and integrate generative AI into workflows for efficient data processing.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Cybersecurity Threat Vectors and Mitigation

Explore cybersecurity threat vectors, encryption techniques, and compliance concepts to defend against cyber attacks and prepare for the Microsoft SC-900 exam.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Essential Aspects of Software, Hardware, and Data Backup

Explore essential IT security skills covering secure software configurations, hardware protection, and data backup strategies to safeguard systems and ensure data integrity in Microsoft 365 environments.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Introduction to Computers

Explore computer systems fundamentals, including CPU, memory, storage, and security. Build IT support skills and prepare for the Microsoft MS-900 exam to earn the Microsoft 365 Fundamentals certification.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Introduction to Computers

Explore computer systems fundamentals, including CPU, memory, storage, and security. Build IT support skills and prepare for the Microsoft MS-900 exam to earn the Microsoft 365 Fundamentals certification.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Introduction to Computers and Operating Systems and Security

Explore the fundamentals of computers, operating systems, and cybersecurity. Gain skills in enterprise systems, security threats, and business applications, preparing you for the Microsoft SC-900 exam and a cybersecurity career.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Introduction to Networking and Cloud Computing

Gain insights into networking and cloud computing fundamentals, covering network infrastructure, security, Azure services, and cloud concepts to advance toward the Microsoft Cybersecurity Analyst Certificate.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

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.

• Coursera
• 5 hours
• Self-Paced
• Paid Course

Owning the AI Lifecycle in Azure

Master the AI lifecycle in Azure—from architecture decisions and model development to MLOps, production monitoring, and governance within enterprise environments.

• Coursera
• 12 weeks, 1 hour a week
• Self-Paced
• Paid Course