DALL·E 2024 05 04 17.01.41 A vibrant and educational graphic illustrating the use of Microsoft Azure for AI services and computing power featuring icons and visual elements rel scaled

Microsoft Azure for AI Services and Computing Power

Unleashing Industry-based AI Solutions with Azure

Skills you will gain:

This course provides a comprehensive introduction to using Microsoft Azure’s vast suite of AI services and computing resources to build, deploy, and manage AI applications across different sectors.

Aim: Equip participants with the necessary skills to leverage Microsoft Azure for deploying AI services and enhancing computing capabilities in various industries.

Program Objectives:

What you will learn?

  1. Introduction to Microsoft Azure:
    • Overview of Azure services, setting up an account, navigating the portal, and understanding pricing models.
  2. Azure Computing Services:
    • Deep dive into Azure Virtual Machines, Kubernetes Service, serverless computing with Azure Functions, and resource management.
  3. Azure AI Services:
    • Utilization of Azure Cognitive Services, Machine Learning Service, and Bot Services, including real-world AI implementations.
  4. Data Management in Azure:
    • Managing data using Azure SQL Database, Cosmos DB, Data Factory, and integrating big data with AI solutions.
  5. AI Project on Azure:
    • Planning, building, deploying, and monitoring AI models; discussing best practices and common pitfalls.

Intended For :

  • IT and computer science students (M.Tech, M.Sc, MCA) and professionals at the E0 & E1 levels in industries such as BFSI, IT services, consulting, and fintech.

Career Supporting Skills