Microsoft Azure for AI Services

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Course Overview

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Mentor Based

Program Syllabus

Module 1

About This Course

This program 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.

Module 2

Aim

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

Module 3

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.

Module 4

Lead Instructor

Dr. Sarah Chen

PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.

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