Azure AI Engineer Associate AI-102 Training in Bhubaneswar - TutorsBot

Azure AI Engineer Associate AI-102 Training in Bhubaneswar

TutorsBot Provide Azure AI Engineer Associate AI-102 in Bhubaneswar Institute and Online Training. This Course is intended for Azure AI Engineer as well as anyone who wants to prepare for the Exam AI-102: Azure AI Engineer Associate. This Course assesses your ability to plan and manage Azure Cognitive Services solutions, as well as implement Computer Vision, Natural Language Processing, Knowledge Mining, and Conversational AI. Join our free demo class before joining training program and get free career counselling.

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Course Overview

A single data governance system that improves the business value of your data. The Azure Chaos Studio is a place where you can create chaos. Simulate outages and introduce defects to improve application resilience. Your applications, infrastructure, and network are all visible. The purpose of this course is to help you prepare for the Azure AI Engineer Associate AI-102 Training in Bhubaneswar Certification. It focuses on the knowledge and skills needed to build Azure-based computer vision, natural language processing, knowledge mining, and conversational AI systems. This course is for software developers who want to use Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework to build AI-infused apps. The course will use C#, Python, or JavaScript as its programming language.

What Is The Role Of The Azure AI Engineer?

  • Candidates for the Azure AI Engineer Associate certification create, manage, and deploy AI solutions based on Azure Cognitive Services and Azure Applied AI.
  • Participating in all phases of AI solution development, from requirement definition and design to development, deployment, maintenance, performance tuning, and monitoring, is one of their responsibilities.
  • They collaborate with solution architects to translate their vision into reality, as well as data scientists, data engineers, IoT experts, and AI developers to create complete end-to-end AI solutions.
  • Candidates for this certification should be fluent in C# or Python and able to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure using REST-based APIs and SDKs.
  • They should also be aware of the various components that make up the Azure AI portfolio, as well as the data storage options available. Moreover, candidates must understand and be able to apply ethical AI principles.

Prerequisites:

  • Microsoft Azure knowledge is required.
  • Experience developing applications in C# or Python.

Course Syllabus

Prepare to develop AI solutions on Azure

  • Introduction

  • 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 Cognitive Services

  • Understand capabilities of the Azure Bot Service

  • Understand capabilities of Azure Cognitive Search

Create and consume Cognitive Services

  • Introduction

  • Provision a cognitive services resource

  • Identify endpoints and keys

  • Use a REST API

  • Use an SDK

  • Use cognitive services

Secure Cognitive Services

  • Introduction

  • Consider authentication

  • Implement network security

  • Manage Cognitive Services Security

Monitor Cognitive Services

  • Introduction

  • Monitor cost

  • Create alerts

  • View metrics

  • Manage diagnostic logging

  • Monitor Cognitive Services

Deploy cognitive services in containers

  • Introduction

  • Understand containers

  • Use Cognitive Services containers

  • Use a container

Extract insights from text with the Language service

  • Introduction

  • Provision a Language resource

  • Detect language

  • Extract key phrases

  • Analyze sentiment

  • Extract entities

  • Extract linked entities

  • Analyze text

Translate text with the Translator service

  • Introduction

  • Provision a Translator resource

  • Understand language detection, translation, and transliteration

  • Specify translation options

  • Define custom translations

  • Translate text with the Translator service

Create speech-enabled apps with the Speech service

  • Introduction

  • Provision an Azure resource for speech

  • Use the speech-to-text API

  • Use the text-to-speech API

  • Configure audio format and voices

  • Use Speech Synthesis Markup Language

  • Create a speech-enabled app

Translate speech with the speech service

  • Introduction

  • Provision an Azure resource for speech translation

  • Translate speech to text

  • Synthesize translations

  • Translate speech

Create a Language Understanding app

  • Introduction

  • Provision Azure resources for Language Understanding

  • Define intents and utterances

  • Define entities

  • Use patterns to differentiate similar utterances

  • Use pre-built models

  • Train test publish and review a Language Understanding app

  • Create a Language Understanding app

Publish and use a Language Understanding app

  • Introduction

  • Set publishing configuration options

  • Process predictions

  • Use a container

  • Create a Language Understanding client app

Use Language Understanding with Speech

  • Introduction

  • Understand Language Understanding and Speech service integration

  • Perform intent recognition with the Speech SDK

  • Use the Speech and Language Understanding services

Build a question answering solution

  • Introduction

  • Understand question answering

  • Compare question answering to language understanding

  • Create a knowledge base

  • Implement multi-turn conversation

  • Test and publish a knowledge base

  • Use a knowledge base

  • Improve question answering performance

  • Create a question answering bot

  • Create a question answering solution

Create a bot with the Bot Framework SDK

  • Introduction

  • Introduce principles of bot design

  • Get started with the Bot Framework SDK

  • Implement activity handlers and dialogs

  • Deploy a bot

  • Create a bot with the Bot Framework SDK

Create a Bot with the Bot Framework Composer

  • Introduction

  • Get started with the Bot Framework Composer

  • Understand dialogs

  • Understand adaptive flow

  • Design the user experience

  • Create a bot with the Bot Framework Composer

Analyze images

  • Introduction

  • Provision a Computer Vision resource

  • Analyze an image

  • Generate a smart-cropped thumbnail

  • Analyze images with Computer Vision

Analyze video

  • Introduction

  • Understand Video Analyzer for Media capabilities

  • Extract custom insights

  • Use Video Analyzer widgets and APIs

  • Analyze video

Classify images

  • Introduction

  • Provision Azure resources for custom vision

  • Understand image classification

  • Train an image classifier

  • Classify images with custom vision

Detect objects in images

  • Introduction

  • Understand object detection

  • Train an object detector

  • Consider options for labeling images

  • Detect objects in images with custom vision

Detect, analyze, and recognize faces

  • Introduction

  • 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

  • Detect, analyze, and identify faces

Read Text in Images and Documents with the Computer Vision Service

  • Introduction

  • Explore Computer Vision options for reading text

  • Use the OCR API

  • Use the Read API

  • Read text in images

Extract data from forms with Form Recognizer

  • Introduction

  • What is Form Recognizer?

  • Get started with Form Recognizer

  • Understand prebuilt models

  • Train custom models without labels (unsupervised)

  • Train custom models with labels (supervised)

  • Use Form Recognizer models

  • Extract data from custom forms

  • Use the Form OCR Test Tool

Create an Azure Cognitive Search solution

  • Introduction

  • Azure resources

  • Search components

  • Understand the indexing process

  • Search an index

  • Apply filtering and sorting

  • Enhance the index

  • Create a search solution

Create a custom skill for Azure Cognitive Search

  • Introduction

  • Create a custom skill

  • Add a custom skill to a skillset

  • Implement a custom skill

Create a knowledge store with Azure Cognitive Search

  • Introduction

  • Define projections

  • Define a knowledge store

  • Create a knowledge store

Ghani

Azure AI Engineer Specialist

Ghani is a certified professional with over 5 years of experience in their field, and He is Azure domain working professional, and have many live projects that they will use during training sessions.

Azure AI Engineer Associate AI-102 Training in Bhubaneswar Key Skills

  • Plan and Manage an Azure Cognitive Services
  • Implement Computer Vision solutions
  • Natural Language Processing
  • Knowledge Mining
  • Conversational AI Solutions
TutorsBot Course Image about Azure AI Engineer Associate AI-102 Training in Bhubaneswar

Course Price & Discounts

  • 55% Discount for Online Program
  • 40% Discount for Batch Enrollment
  • Referral Discounts Available

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Projects

Analyze Images by Using the Computer Vision API

Retrieve image descriptions and tags by using the Computer Vision API and Identify landmarks and celebrities by using the Computer Vision API

Recognize digital ink with the Ink Recognizer REST API

Extract information from forms or receipts by using the pre-built receipt model in Form Recognizer

Tag images & specify bounding boxes for object detection

Train a custom object detection model by using the Custom Vision Portal

Training Options

Self Paced Learning

Affordable Price

Flexible Timing

Videos from Experts

Updated Syllabus

Instructor-Led Training

Monday, May 30th 2022

Monday to Friday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : One Hour

Saturday, June 4th 2022

Saturday to Sunday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : Three Hours

Friday, June 3rd 2022

Monday to Friday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : One Hour

Saturday, June 11th 2022

Saturday to Sunday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : Three Hours

Expert Trainers

Doubt Resolutions

Dedicated Support Team

Placements Assistance

Corporate Training

Customized Syllabus

Easy Employee Up-Skilling

Dedicated LMS

Full Time Support

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The course is in line with respective certification programs, and upon the completion of the training, TutorsBot’s course completion certificate will be awarded upon the completion of the projects, along with other certifications.

This certificate is a proof that you have completely mastering in the domain. This certificate validate you have worked in assignments, exercises, projects and case studies. Share your certificate and achievement on LinkedIn, Facebook or Twitter.

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Course Timing

Weekdays

Monday to Friday

Timing 8:00 to 10:00

Weekend

Saturday & Sunday

Timing 9:00 to 9:00

Online

Monday to Sunday

Timing 7:00 to 10:00

Fast-track

Monday to Sunday

Timing 7:00 to 10:00

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Training FAQ

To know more about the Azure AI Engineer Associate AI-102 Training Program, you can either contact us through a phone call, email, or live chat. Our customer service team can provide a detailed explanation and further, they can resolve your queries about the master's program.

TutorsBot team provides support from training onboarding, assignments, micro-learning exercise, and doubt resolutions. TutorsBot team also provide resume building, mock interview, placement assistance, and project mentoring.

No, TutorsBot's placement team help to increase the opportunity of getting the job by providing technical training, industry projects, case studies, resume preparation and mock interviews.

At TutorsBot, you can enroll in either instructor-led online training or instructor-led campus training. We also provide corporate training for workforce upskilling.

You can make payment any of the following options credit card, debit card, net banking, and wallets and by cash. After paying the payment you will receive an email with the receipt.

Yes, After deducting admission fees for the training program; We will refund the remaining amount. Refund will not avail after attending five classes of the course enrollment. To know more about the refund policy, check our Refund Policy webpage in the website's footer.

Azure AI Engineer Associate AI-102 Training will have a duration of 2 months.

Other Benefits of learning Azure AI Engineer Associate AI-102 Training help you gain knowledge on Azure AI Engineering such as ability to plan and manage Azure Cognitive Services solutions, as well as implement Computer Vision, Natural Language Processing, Knowledge Mining, and Conversational AI; You can also enroll in the Azure AI Engineer Associate AI-102 Program to get Azure AI Engineer Associate AI-102 Certifications.

Azure AI Engineer Associate AI-102 Training program will have a duration of 2 months.

Azure AI Engineer Associate Course is becoming a high-demand job skill in the industry. Enrolling in a Azure AI Engineer Associate AI-102 Program will increase your knowledge in Azure and increase your career transition. In this course, you can also learn Azure implementation using modern technologies.

Yes, we provide Jenkins, Kubernetes, Docker, Ansible, Puppet, Maven, Chef, AWS, Microsoft Azure, and Git.

TutorsBot's programme faculty are selected from a pool of numerous profiles and have over 5 years of expertise in the industrial domain as well as reputable training backgrounds. We only allow faculty to be training faculties in TutorsBot once we have evaluated their technical skills with numerous alumni evaluations.

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