Design & Implement Microsoft Azure AI Solution

Design & Implement Microsoft Azure AI Solution

Transform Your Ideas into AI Solutions with Microsoft Azure: From Design to Deployment.

What does the Course Offer

6

52

32

18

40

Objectives

Practice Tests

Training Hours

Exercises

Knowledge Checks

This course equips you with the skills to design, implement, and manage AI solutions using Microsoft Azure AI tools. You will learn to leverage Azure services like Cognitive Services, Azure Machine Learning, and Azure OpenAI to build intelligent applications. The course covers content moderation, computer vision, natural language processing (NLP), knowledge mining, document intelligence, and generative AI solutions, helping you build AI-driven systems for real-world applications.

Course Overview

This course provides a comprehensive guide to designing, implementing, and managing AI solutions using Microsoft Azure.

It covers key Azure AI services, including Cognitive Services, Azure Machine Learning, and Azure OpenAI, enabling you to create intelligent, scalable applications.

You will learn how to integrate AI for tasks such as content moderation, computer vision, natural language processing (NLP), knowledge mining, document intelligence, and generative AI.

Learning Outcomes

Upon completing this course, participants will be able to:

1. Plan and Design Azure AI Solutions:

   • Develop AI solution architectures tailored to specific business needs.

   • Select appropriate Azure AI services for various use cases, ensuring optimal scalability and efficiency.

   • Effectively manage AI projects, including cost estimation, resource allocation, and governance.

2. Implement Content Moderation Solutions:

   • Utilize Azure Content Moderator to detect and filter inappropriate content across text, images, and videos.

   • Set up automated workflows for content moderation to ensure compliance and safety in applications.

3. Implement Computer Vision Solutions:

   • Build computer vision applications using Azure Cognitive Services for tasks like image classification, object detection, face recognition, and optical character recognition (OCR).

   • Integrate computer vision models into business applications to automate and enhance processes.

4. Implement Natural Language Processing (NLP) Solutions:

   • Apply Azure Cognitive Services for Language to analyze text data, including sentiment analysis, key phrase extraction, and language detection.

   • Build conversational AI applications and chatbots using Language Understanding (LUIS) and Azure Bot Services.

5. Implement Knowledge Mining and Document Intelligence Solutions:

   • Set up Azure Cognitive Search to build intelligent search capabilities and mine knowledge from large datasets.

   • Use Form Recognizer to automate data extraction from unstructured documents and forms.

6. Implement Generative AI Solutions:

   • Leverage Azure OpenAI and Azure Machine Learning to develop generative AI models for content creation, such as text generation, code generation, and image synthesis.

   • Build and deploy AI-powered applications that generate personalized content, automate creative processes, and engage customers.

By the end of this course, you will be proficient in designing, implementing, and managing AI solutions across a wide range of business and technical use cases using Microsoft Azure AI services.

Audience Profile

• Aspiring AI professionals

• Business Analysts

• AI Developers

• Solution Architects

• Data Scientists

• Business Professionals

Prerequisites

• Familiarity with Azure and the Azure portal.

• Experience programming with C# or Python.

Course Objectives

• Plan and manage an Azure AI solution

• Implement content moderation solutions

• Implement computer vision solutions

• Implement natural language processing solutions

• Implement knowledge mining and document intelligence solutions

• Implement generative AI solutions

Format

Blended (Online Training + Discussions)

Streaming Platform

Microsoft Teams Online

Course Schedule

On Demand

Trainer

Kappagantula Srikanth

Duration

32 Hours

Course Fee

$1500

Course Outline

Prerequisites (1 Hour)

• Install Visual Studio

• Install Azure PowerShell & CLI

• Create/Access Microsoft Learn Account

• Create/Access GitHub Account

• Create/Access Microsoft Azure Account

Get Started with Azure AI Services

• Prepare to develop AI Solutions on Azure

• Create and Consume Azure AI Services

• Secure Azure AI Services

• Monitor Azure AI Services

• Deploy Azure Ai Services in Containers

• Use AI responsibly with Azure AI Content Safety

Create computer vision solutions with Azure AI Vision

• Analyze Images

• Image classification with custom Azure AI Vision models

• Classify Images

• Detect objects in images

• Detect, analyze, and recognize faces

• Read Text in images and documents with the Azure AI Vision Service

• Analyze video

Develop natural language processing solutions with Azure AI Services

• Analyze text with Azure AI Language

• Create question answering solutions with Azure AI Language

• Build a conversational language understanding model

• Create a custom text classification solution

• Custom named entity recognition

• Translate text with Azure AI Translator service

• Create speech-enabled apps with Azure AI services

• Translate speech with the Azure AI Speech service

Implement knowledge mining with Azure AI Search

• Create an Azure AI Search solution

• Create a custom skill for Azure AI Search

• Create a knowledge store with Azure AI Search

• Implement advanced search features in Azure AI Search

• Search data outside the Azure platform in Azure AI Search using Azure Data Factory

• Maintain an Azure AI Search solution

• Perform search reranking with semantic ranking in Azure AI Search

• Perform vector search and retrieval in Azure AI Search

Develop solutions with Azure AI Document Intelligence

• Plan an Azure AI Document Intelligence solution

• Use prebuilt Document intelligence models

• Extract data from forms with Azure Document intelligence

• Create a composed Document intelligence model

Develop Generative AI solutions with Azure OpenAI Service

• Get started with Azure OpenAI Service

• Build natural language solutions with Azure OpenAI Service

• Apply prompt engineering with Azure OpenAI Service

• Generate code with Azure OpenAI Service

• Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

• Generate images with Azure OpenAI Service

Enquire about the Course

You can also reach out to us through the following options

Phone

+65-91709407

Email

info@empowerone.cloud

WhatsApp Channel