AI-102: Designing and Implementing a Microsoft Azure AI Solution

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Description
Content
Target Audience
Certificates

Embark on a transformative journey into AI mastery with AI-102, your comprehensive guide to unlocking the full potential of Microsoft Azure AI. Tailored for seasoned software engineers fluent in C# or Python, this course propels you to the forefront of AI innovation. Explore crafting intelligent solutions that redefine possibilities: from developing robust computer vision applications to navigating the intricacies of natural language processing and creating dynamic, AI-powered search experiences.

Throughout AI-102, you will delve into diverse learning paths crafted to refine your skills and broaden your capabilities. Whether you are classifying images, extracting insights from documents with Azure AI Document Intelligence, or developing generative AI solutions with Azure OpenAI Service, each module reveals new dimensions of creativity and technical expertise.

Beyond constructing powerful AI solutions lies a commitment to responsible innovation. Learn essential practices to secure and monitor AI services, ensuring robust performance and ethical implementation. By the course’s conclusion, you will possess the tools and knowledge to confidently deploy AI services, leveraging Azure’s cutting-edge technologies to innovate and solve real-world challenges.

Join AI-102 and embark on a transformative journey where your ideas converge with Azure’s advanced AI capabilities, empowering you to lead the next wave of technological breakthroughs. Whether enhancing business efficiency or pioneering new AI-driven experiences, AI-102 equips you to excel in today’s rapidly evolving digital landscape.

LEARNING PATH 1
Get started with Azure AI Services

Module 1: Prepare to develop AI solutions on Azure
Module 2: Create and consume Azure AI services
Module 3: Secure Azure AI services
Module 4: Monitor Azure AI services
Module 5: Deploy Azure AI services in containers

LEARNING PATH 2
Develop decision support solutions with Azure AI Services

Module 1: Classify and moderate text with Azure Content Moderator

LEARNING PATH 3
Create computer vision solutions with Azure AI Vision

Module 1: Analyze images
Module 2: Image classification with custom Azure AI Vision models
Module 3: Detect, analyze, and recognize faces
Module 4: Read Text in images and documents with the Azure AI Vision Service
Module 5: Analyze video

LEARNING PATH 4
Develop natural language processing solutions with Azure AI Services

Module 1: Analyze text with Azure AI Language
Module 2: Build a question answering solution
Module 3: Build a conversational language understanding model
Module 4: Create a custom text classification solution
Module 5: Custom named entity recognition
Module 6: Translate text with Azure AI Translator service
Module 7: Create speech-enabled apps with Azure AI services
Module 8: Translate speech with the Azure AI Speech service

LEARNING PATH 5
Implement knowledge mining with Azure AI Search

Module 1: Create an Azure AI Search solution
Module 2: Create a custom skill for Azure AI Search
Module 3: Create a knowledge store with Azure AI Search
Module 4: Enrich your data with Azure AI Language
Module 5: Implement advanced search features in Azure AI Search
Module 6: Build an Azure Machine Learning custom skill for Azure AI Search
Module 7: Search data outside the Azure platform in Azure AI Search using Azure Data Factory
Module 8: Maintain an Azure AI Search solution
Module 9: Perform search re-ranking with semantic ranking in Azure AI Search
Module 10: Perform vector search and retrieval in Azure AI Search

LEARNING PATH 6
Develop solutions with Azure AI Document Intelligence

Module 1: Plan an Azure AI Document Intelligence solution
Module 2: Use prebuilt Form Recognizer models
Module 3: Extract data from forms with Azure Document Intelligence
Module 4: Create a composed Form Recognizer model
Module 5: Build a Document Intelligence custom skill for Azure AI Search

LEARNING PATH 7
Develop Generative AI solutions with Azure OpenAI Service

Module 1: Get started with Azure OpenAI Service
Module 2: Build natural language solutions with Azure OpenAI Service
Module 3: Apply prompt engineering with Azure OpenAI Service
Module 4: Generate code with Azure OpenAI Service
Module 5: Generate images with Azure OpenAI Service
Module 6: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
Module 7: Fundamentals of Responsible Generative AI

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.

Microsoft Certified: Azure AI Engineer Associate after successful completition of the Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Description

Content

LEARNING PATH 1
Get started with Azure AI Services

Module 1: Prepare to develop AI solutions on Azure
Module 2: Create and consume Azure AI services
Module 3: Secure Azure AI services
Module 4: Monitor Azure AI services
Module 5: Deploy Azure AI services in containers

LEARNING PATH 2
Develop decision support solutions with Azure AI Services

Module 1: Classify and moderate text with Azure Content Moderator

LEARNING PATH 3
Create computer vision solutions with Azure AI Vision

Module 1: Analyze images
Module 2: Image classification with custom Azure AI Vision models
Module 3: Detect, analyze, and recognize faces
Module 4: Read Text in images and documents with the Azure AI Vision Service
Module 5: Analyze video

LEARNING PATH 4
Develop natural language processing solutions with Azure AI Services

Module 1: Analyze text with Azure AI Language
Module 2: Build a question answering solution
Module 3: Build a conversational language understanding model
Module 4: Create a custom text classification solution
Module 5: Custom named entity recognition
Module 6: Translate text with Azure AI Translator service
Module 7: Create speech-enabled apps with Azure AI services
Module 8: Translate speech with the Azure AI Speech service

LEARNING PATH 5
Implement knowledge mining with Azure AI Search

Module 1: Create an Azure AI Search solution
Module 2: Create a custom skill for Azure AI Search
Module 3: Create a knowledge store with Azure AI Search
Module 4: Enrich your data with Azure AI Language
Module 5: Implement advanced search features in Azure AI Search
Module 6: Build an Azure Machine Learning custom skill for Azure AI Search
Module 7: Search data outside the Azure platform in Azure AI Search using Azure Data Factory
Module 8: Maintain an Azure AI Search solution
Module 9: Perform search re-ranking with semantic ranking in Azure AI Search
Module 10: Perform vector search and retrieval in Azure AI Search

LEARNING PATH 6
Develop solutions with Azure AI Document Intelligence

Module 1: Plan an Azure AI Document Intelligence solution
Module 2: Use prebuilt Form Recognizer models
Module 3: Extract data from forms with Azure Document Intelligence
Module 4: Create a composed Form Recognizer model
Module 5: Build a Document Intelligence custom skill for Azure AI Search

LEARNING PATH 7
Develop Generative AI solutions with Azure OpenAI Service

Module 1: Get started with Azure OpenAI Service
Module 2: Build natural language solutions with Azure OpenAI Service
Module 3: Apply prompt engineering with Azure OpenAI Service
Module 4: Generate code with Azure OpenAI Service
Module 5: Generate images with Azure OpenAI Service
Module 6: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
Module 7: Fundamentals of Responsible Generative AI

Target Audience

Certificates

Microsoft Certified: Azure AI Engineer Associate after successful completition of the Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

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