Azure AI Engineer Associate

Azure AI Engineer Associate In Chennai

The AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course offers in-depth training on building and managing AI solutions with Azure. It covers essential Azure AI services, including Azure Machine Learning, Azure Cognitive Services, and the Microsoft Bot Framework

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Date

09 Jun - 12 Jun

Time

7:00 AM - 3:00 PM (PDT)

$ 700

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7:00 AM - 3:00 PM (PDT)

16 Jun - 19 Jun

Get it for

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7:00 AM - 3:00 PM (PDT)

23 Jun - 26 Jun

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7:00 AM - 3:00 PM (PDT)

30 Jun - 03 Jul

Clients we have worked with

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10

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Successfull
Transformations
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Trainers Build
5000

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People Placed
10000

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People Trained

Overview

The AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course provides comprehensive training on building, deploying, and managing AI solutions using Microsoft Azure’s AI services, including Cognitive Services, Machine Learning, and the Bot Framework.

Azure AI Engineer Associate Curriculum

Prepare to develop AI solutions on Azure

Define artificial intelligence

Understand AI-related terms

Understand considerations for AI Engineers

Understand considerations for responsible AI

Understand capabilities of Azure Machine Learning

Understand capabilities of Azure AI Services

Understand capabilities of Azure OpenAI Service

Understand capabilities of Azure AI Search

Create and consume Azure AI services

Create Azure AI services resources in an Azure subscription

Identify endpoints, keys, and locations required to consume an Azure AI services resource

Use a REST API and an SDK to consume Azure AI services

Secure Azure AI services

Consider authentication for Azure AI services

Manage network security for Azure AI services

Monitor Azure AI services

Monitor Azure AI services costs

Create alerts and view metrics for Azure AI services

Manage Azure AI services diagnostic logging

Deploy Azure AI services in containers

Create containers for reuse

Deploy to a container and secure a container

Consume Azure AI services from a container

Analyze images

Provision an Azure AI Vision resource

Analyze an image

Generate a smart-cropped thumbnail

Image classification with custom Azure AI Vision models

Create a custom Azure AI Vision classification model

Understand image classification

Understand object detection

Train an image classifier in Vision Studio

Detect, analyze, and recognize faces

Identify options for face detection, analysis, and identification

Understand considerations for face analysis

Detect faces with the Computer Vision service

Understand capabilities of the Face service

Compare and match detected faces

Implement facial recognition

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

Read text from images using OCR

Use the Azure AI Vision service Image Analysis with SDKs and the REST API

Develop an application that can read printed and handwritten text

Analyze video

Describe Azure Video Indexer capabilities

Extract custom insights

Use Azure Video Indexer widgets and APIs

Analyze text with Azure AI Language

Detect language from text

Analyze text sentiment

Extract key phrases, entities, and linked entities

Create question answering solutions with Azure AI Language

Understand question answering and how it compares to language understanding

Create, test, publish, and consume a knowledge base

Implement multi-turn conversation and active learning

Create a question answering bot to interact with using natural language

Build a conversational language understanding model

Provision Azure resources for Azure AI Language resource

Define intents, utterances, and entities

Use patterns to differentiate similar utterances

Use pre-built entity components

Train, test, publish, and review an Azure AI Language model

Create a custom text classification solution

Understand types of classification projects

Build a custom text classification project

Tag data, train, and deploy a model

Submit classification tasks from your own app

Custom named entity recognition

Understand tagging entities in extraction projects

Understand how to build entity recognition projects

Translate text with Azure AI Translator service

Provision a Translator resource

Understand language detection, translation, and transliteration

Specify translation options

Define custom translations

Create speech-enabled apps with Azure AI services

Provision an Azure resource for the Azure AI Speech service

Use the Azure AI Speech to text API to implement speech recognition

Use the Text to speech API to implement speech synthesis

Configure audio format and voices

Use Speech Synthesis Markup Language (SSML)

Translate speech with the Azure AI Speech service

Provision Azure resources for speech translation

Generate text translation from speech

Synthesize spoken translations

Create an Azure AI Search solution

Develop a search application

Create an Azure AI Search solution

Create a custom skill for Azure AI Search

Implement a custom skill for Azure AI Search

Integrate a custom skill into an Azure AI Search skillset

Create a knowledge store with Azure AI Search

Create a knowledge store from an Azure AI Search pipeline

View data in projections in a knowledge store

Enrich your data with Azure AI Language

Use Azure AI Language to enrich Azure AI Search indexes

Enrich an AI Search index with custom classes

Implement advanced search features in Azure AI Search

Improve the ranking of a document with term boosting

Improve the relevance of results by adding scoring profiles

Improve an index with analyzers and tokenized terms

Enhance an index to include multiple languages

Improve search experience by ordering results by distance from a given reference point

Build an Azure Machine Learning custom skill for Azure AI Search

Understand how to use a custom Azure Machine Learning skillset

Use Azure Machine Learning to enrich Azure AI Search indexes

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

Use Azure Data Factory to copy data into an Azure AI Search Index

Use the Azure AI Search push API to add to an index from any external data source

Maintain an Azure AI Search solution

Use Language Studio to enrich Azure AI Search indexes

Enrich an AI Search index with custom classes

Perform search re-ranking with semantic ranking in Azure AI Search

Describe semantic ranking

Set up semantic ranking

Perform semantic ranking on an index

Perform vector search and retrieval in Azure AI Search

Describe vector search

Describe embeddings

Run vector search queries using the REST API

Plan an Azure AI Document Intelligence solution

Describe the components of an Azure AI Document Intelligence solution

Create and connect to Azure AI Document Intelligence resources in Azure

Choose whether to use a prebuilt, custom, or composed model

Plan an Azure AI Document Intelligence solution

Describe the components of an Azure AI Document Intelligence solution

Create and connect to Azure AI Document Intelligence resources in Azure

Choose whether to use a prebuilt, custom, or composed model

Use prebuilt Document intelligence models

Identify business problems that you can solve by using prebuilt models in Forms Analyzer

Analyze forms by using the General Document, Read, and Layout models

Analyze forms by using financial, ID, and tax prebuilt models

Extract data from forms with Azure Document intelligence

Identify how Document intelligence's layout service, prebuilt models, and custom models can automate processes

Use Document intelligence's capabilities with SDKs, REST API, and Document Intelligence Studio

Develop and test custom models

Create a composed Document intelligence model

Describe business problems that you would use custom models and composed models to solve

Train a custom model to obtain data from forms with unusual structures

Create a composed model that can analyze forms in multiple formats

Build a Document intelligence custom skill for Azure AI search

Describe how a custom skill can enrich content passed through an Azure AI Search pipeline

Build a custom skill that calls an Azure Forms Analyzer solution to obtain data from forms

Get started with Azure OpenAI Service

Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models

Use the Azure AI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds

Generate completions to prompts and begin to manage model parameters

Build natural language solutions with Azure OpenAI Service

Integrate Azure OpenAI into your application

Differentiate between different endpoints available to your application

Generate completions to prompts using the REST API and language specific SDKse

Apply prompt engineering with Azure OpenAI Service

Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models' performance

Know how to design and optimize prompts to better utilize AI models

Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses

Generate code with Azure OpenAI Service

Use natural language prompts to write code

Build unit tests and understand complex code with AI models

Generate comments and documentation for existing code

Generate images with Azure OpenAI Service

Describe the capabilities of DALL-E in the Azure OpenAI service

Use the DALL-E playground in Azure AI Studio

Use the Azure OpenAI REST interface to integrate DALL-E image generation into your apps

Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

Describe the capabilities of Azure OpenAI on your data

Configure Azure OpenAI to use your own data

Use Azure OpenAI API to generate responses based on your own data

Fundamentals of Responsible Generative AI

Describe an overall process for responsible generative AI solution development

Identify and prioritize potential harms relevant to a generative AI solution

Measure the presence of harms in a generative AI solution

Mitigate harms in a generative AI solution

Prepare to deploy and operate a generative AI solution responsibly

Lab Environment Setup

Enable Resource Providers

Get Started with Azure AI Services

Manage Azure AI Services Security

Monitor Azure AI Services

Use an Azure AI Services Container

Analyze Text

Translate Text

Recognize and Synthesize Speech

Translate Speech

Create a language understanding model with the Azure AI Language service

Create a Conversational Language Understanding Client Application

Create a Question Answering Solution

Create a Bot with the Bot Framework SDK

Create a Bot with Bot Framework Composer

Analyze Images with Azure AI Vision

Analyze Video with Video Analyzer

Classify Images with Azure AI Custom Vision

Detect Objects in Images with Custom Vision

Detect and Analyze Faces

Read Text in Images

Extract Data from Forms

Create an Azure AI Search solution

Create a Custom Skill for Azure AI Search

Create a Knowledge Store with Azure AI Search

Course Benefits

  • Gain hands-on experience with Azure AI tools for real-world application development.
  • Learn to design, implement, and secure advanced AI solutions using Azure Cognitive Services.
  • Develop expertise in natural language processing, computer vision, and conversational AI.
  • Master integration of REST APIs and SDKs for scalable AI application deployment.
  • Enhance your profile for high-demand roles like AI Engineer, Data Scientist, or Solution Architect.
  • Prepare for the AI-102 certification, boosting your credentials in the growing AI job market.
Azure AI Engineer Associate

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Azure AI Engineer Associate

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Course Certification Process

Azure AI Engineer Associate

Get professional guidance from learning advisors

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  • Complete recommended training, such as the AI-102T00 course, to gain hands-on experience with Azure AI services.
  • Schedule and pass the AI-102: Designing and Implementing an Azure AI Solution certification exam.
  • Earn the Microsoft Certified: Azure AI Engineer Associate credential to validate your expertise in designing and implementing AI solutions on Azure.

Our Instructor

Gaurav Rajwanshi

Gaurav Rajwanshi

Lean Business Leadership and AI Coach

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Amogh Joshi

Amogh Joshi

Director of Agile Product Delivery & Transformation Coach

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Ashish Joshi

Ashish Joshi

Business Agility and Transformation Coach

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Azure AI Engineer Associate

Frequently asked questions

After completing AI-102T00: Designing and Implementing a Microsoft Azure AI Solution, you can further enhance your skills by considering the following advanced courses:


AI-3016: Develop copilots with Azure AI Studio

AI+ Engineer

AI+ Developer


The AI-102 provides hands-on training with labs that help you use Azure Cognitive Search, Azure Cognitive Services, and Microsoft Bot Framework to develop applications that read, analyze, and process text in images and documents and even create conversational solutions with bots.

You will learn Azure AI services such as Azure Cognitive Services that cover Text Analytics, Translator, and Speech. You will also learn about QnA Maker Service, Azure Bot Service, Computer Vision Service, Language Understanding Service, and Recognizer Service.

You can take the AI-900T00: Microsoft Azure AI Fundamentals course before joining the AI-102 course.

The course covers various Azure Cognitive Services, including text analysis, speech recognition, image and video analysis, language understanding, and custom vision models.

Your team will gain in-depth knowledge of Azure Cognitive Services, Microsoft Bot Framework, and Azure Cognitive Search, enabling them to develop advanced AI solutions that can improve business processes and enhance customer experiences.

Earning a certification in Azure Fundamentals depends on your strength in Azure basics and learning path toward other associate or expert-level certifications. However, validating that knowledge with a certificate will benefit you immensely in the future.

You must know either Python or C# before you take up the AI-102 course.

After completing the AI-102 certification course, you can pursue various career opportunities such as AI Engineer, Data Scientist, and Solution Architect. This certification enhances your profile for high-paying jobs in the AI field, particularly in roles focused on implementing AI solutions on Azure.

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Azure AI Engineer Associate

Azure AI Engineer Associate