16 Topics
10 Days
16 Sessions
Programme Overview
Training Description
Who Should Attend
This course is ideal for
- Data center managers and IT administrators
- Network and systems engineers
- Cybersecurity professionals
- Industrial control systems engineers
- SCADA and automation specialists
- Risk and compliance managers
- IT infrastructure architects
- Operational technology (OT) security teams
- Consultants in IT and cybersecurity
- Regulators and auditors of digital infrastructure
Session Objectives
- Understand Microsoft Azure AI services and architecture
- Design AI-driven solutions aligned with business needs
- Apply machine learning models using Azure Machine Learning
- Build natural language processing and computer vision solutions
- Deploy and manage AI workloads on Azure
- Ensure responsible and ethical AI implementation
About the Course
Artificial Intelligence is transforming industries, driving innovation, and enabling organizations to harness the power of data for smarter decision-making. Microsoft Azure AI provides an enterprise-ready platform for building, training, and deploying advanced AI models with scalability and efficiency. This training course is designed to equip participants with the skills and tools required to design, implement, and optimize AI-powered solutions using Microsoft Azure’s ecosystem. Learners will explore natural language processing, computer vision, conversational AI, and predictive analytics while gaining hands-on experience with Azure Machine Learning and related services. The course offers a practical and strategic roadmap to mastering AI on Azure, empowering participants to solve real-world challenges in finance, healthcare, manufacturing, education, and beyond. With a blend of theoretical frameworks and hands-on labs, participants will understand how to deploy AI responsibly, integrate ethical practices, and align AI solutions with business goals. By the end of the training, learners will be prepared to leverage Azure AI for innovation, efficiency, and competitive advantage in their respective industries..
Curriculum & Topics
16 Topics | 16 Sessions
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Workshop 16.1:
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