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

About Program

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.

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Program Structure

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

Participant’s Eligibility

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.

Program Outcomes

Comprehensive understanding of Microsoft Azure as it relates to AI.
Ability to deploy and manage AI solutions using Azure services.
Enhanced skills in cloud computing, data management, and AI application development.

Fee Structure

Standard Fee: INR ~~49,998~~ USD ~~1,300~~

Discounted Fee: INR 24999 USD 650

Certificate

Program Assessment

Assignments: Practical tasks using Azure to handle real-world data and AI scenarios.
Quizzes: After each section to evaluate understanding of Azure’s tools and services.
Final Project: An industry-focused AI project utilizing Azure services from planning to deployment.

Program Deliverables

- - Access to Azure’s AI tools and cloud computing resources.
  - Hands-on projects simulating industry scenarios.
  - Continuous support through interactive sessions and a dedicated course forum.

Future Career Prospects

- - Cloud Solutions Architect
  - AI and Machine Learning Specialist
  - Azure AI Engineer

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Microsoft Azure for AI Services and Computing Power

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