CLOUD COMPUTING - AZURE

★★★★★

(2,095 ratings) 50,000+ Student

Designing and Implementing a Microsoft Azure AI Solution-AI 102

The “Designing and Implementing a Microsoft Azure AI Solution” certification exam, coded as AI-102, is a Microsoft certification that focuses on assessing a candidate’s knowledge and skills related to designing and implementing artificial intelligence (AI) solutions on the Microsoft Azure cloud platform. Earning the AI-102 certification demonstrates your expertise in designing and implementing AI solutions on Azure.

Radical Technologies

50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 40 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

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What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

5 sections covering the complete curriculum — a single, progressive learning arc.

40 hours

Training Duration

Core Modules

103

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a CLOUD COMPUTING - AZURE role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

5 sections • 103 lessons • 40 hours

Jump to Section

Total Duration

40 hours

100% Practical · Unlimited Doubt Sessions

01 Plan and Manage an Azure AI Solution

Select the appropriate Azure AI Service

Select the appropriate service for a vision solution

Select the appropriate service for a language analysis solution

Select the appropriate service for a decision support solution

Select the appropriate service for a speech solution

Select the appropriate Applied AI services

Plan and configure security for Azure AI Services

Manage account keys

Manage authentication for a resource

Secure services by using Azure Virtual Networks

Plan for a solution that meets responsible AI principles

Create and manage an Azure AI service

Create an Azure AI resource

Configure diagnostic logging

Manage costs for Azure AI services

Monitor an Azure AI resource

Deploy Azure AI services

Determine a default endpoint for a service

Create a resource by using the Azure portal

Integrate Azure AI services into a continuous integration/continuous deployment (CI/CD) pipeline

Plan a container deployment

Implement prebuilt containers in a connected environment

Create solutions to detect anomalies and improve content

Create a solution that uses Anomaly Detector, part of Cognitive Services

Create a solution that uses Azure Content Moderator, part of Cognitive Services

Create a solution that uses Personalizer, part of Cognitive Services

Create a solution that uses Azure Metrics Advisor, part of Azure Applied AI Services

Create a solution that uses Azure Immersive Reader, part of Azure Applied AI Services

02 Implement image and video processing solutions

Analyze images

Select appropriate visual features to meet image processing requirements

Create an image processing request to include appropriate image analysis features

Interpret image processing responses

Extract text from images

Extract text from images or PDFs by using the Computer Vision service

Convert handwritten text by using the Computer Vision service

Extract information using prebuilt models in Azure Form Recognizer

Build and optimize a custom model for Azure Form Recognizer

Implement image classification and object detection by using the Custom Vision service, part of Azure Cognitive Services

Choose between image classification and object detection models

Specify model configuration options, including category, version, and compact

Label images

Train custom image models, including image classification and object detection

Manage training iterations

Evaluate model metrics

Publish a trained model

Export a model to run on a specific target

Implement a Custom Vision model as a Docker container

Interpret model responses

Process videos

Process a video by using Azure Video Indexer

Extract insights from a video or live stream by using Azure Video Indexer

Implement content moderation by using Azure Video Indexer

Integrate a custom language model into Azure Video Indexer

03 Implement Natural Language Processing Solutions

Analyze text

Retrieve and process key phrases

Retrieve and process entities

Retrieve and process sentiment

Detect the language used in text

Detect personally identifiable information (PII)

Process speech

Implement and customize text-to-speech

Implement and customize speech-to-text

Improve text-to-speech by using SSML and Custom Neural Voice

Improve speech-to-text by using phrase lists and Custom Speech

Implement intent recognition

Implement keyword recognition

Translate language

Translate text and documents by using the Translator service

Implement custom translation, including training, improving, and publishing a custom model

Translate speech-to-speech by using the Speech service

Translate speech-to-text by using the Speech service

Translate to multiple languages simultaneously

Build and manage a language understanding model

Create intents and add utterances

Create entities

Train evaluate, deploy, and test a language understanding model

Optimize a Language Understanding (LUIS) model

Integrate multiple language service models by using an orchestration workflow

Import and export language understanding models

Create a question answering solution

Create a question answering project

Add question-and-answer pairs manually

Import sources

Train and test a knowledge base

Publish a knowledge base

Create a multi-turn conversation

Add alternate phrasing

Add chit-chat to a knowledge base

Export a knowledge base

Create a multi-language question answering solution

Create a multi-domain question answering solution

Use metadata for question-and-answer pairs

04 Implement Knowledge Mining Solutions

Implement a Cognitive Search solution

Provision a Cognitive Search resource

Create data sources

Define an index

Create and run an indexer

Query an index, including syntax, sorting, filtering, and wildcards

Manage knowledge store projections, including file, object, and table projections

Apply AI enrichment skills to an indexer pipeline

Attach a Cognitive Services account to a skillset

Select and include built-in skills for documents

Implement custom skills and include them in a skillset

Implement incremental enrichment

05 Implement Conversational AI Solutions

Design and implement conversation flow

Design conversational logic for a bot

Choose appropriate activity handlers, dialogs or topics, triggers, and state handling for a bot

Build a conversational bot

Create a bot from a template

Create a bot from scratch

Implement activity handlers, dialogs or topics, and triggers

Implement channel-specific logic

Implement Adaptive Cards

Implement multi-language support in a bot

Implement multi-step conversations

Manage state for a bot

Integrate Cognitive Services into a bot, including question answering, language understanding, and Speech service

Test, publish, and maintain a conversational bot

Test a bot using the Bot Framework Emulator or the Power Virtual Agents web app

Test a bot in a channel-specific environment

Troubleshoot a conversational bot

Deploy bot logic

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

103+

Hands-On Lessons

Core Modules

40 hours

Training Duration

100%

Practical Training

You don't just learn Designing and Implementing a Microsoft Azure AI Solution-AI 102. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

Career Support

Course Completed? Need next steps?

Need Interview Supports?

Need Job Assistance?

Came from any other Institute?

Join our Brush-up Session & get support until you find a job!

Get Started

Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.4★

Average learner rating

50K+

Students trained

30+

Hiring companies alumni work at

100%

Placement assistance

4.4

★★★★★

Course Rating

★★★★★

62%

★★★★☆

21%

★★★☆☆

10%

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Designing and Implementing a Microsoft Azure AI Solution-AI 102 Interview Questions

10 questions commonly asked in Designing and Implementing a Microsoft Azure AI Solution-AI 102 interviews.

01 What are the key components of Azure Cognitive Services, and how can they be integrated into an AI solution?
02 Describe the process of designing a conversational AI solution using Azure Bot Services and its integration with other Azure resources.
03 How do you implement a machine learning model on Azure Machine Learning Studio, and what steps are involved in deploying it for production?
04 What is the significance of Azure’s Responsible AI principles, and how would you ensure compliance while designing an AI solution?
05 Explain how Azure Computer Vision can be used to solve real-world business problems. Provide an example scenario.
06 What are the key differences between using pre-built AI models in Azure Cognitive Services and building custom AI models using Azure Machine Learning?
07 How do you ensure scalability and performance optimization when deploying AI solutions on Azure?
08 What are the common challenges faced while integrating AI solutions into existing business workflows, and how can Azure tools help overcome these challenges?
09 Can you explain the steps to implement and manage a knowledge base using Azure QnA Maker?
10 How does the Language Understanding Intelligent Service (LUIS) work, and what are its key features in building AI-driven applications?

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