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(2,095 ratings) 50,000+ Student

AI-900: MICROSOFT AZURE AI FUNDAMENTALS + AI-102: DESIGNING AND IMPLEMENTING A MICROSOFT AZURE AI SOLUTION

AI-900: Microsoft Azure AI Fundamentals Training introduces the basics of Artificial Intelligence & Machine Learning concepts with Microsoft Azure services. It is important as it helps learners understand AI use cases, Azure AI tools & responsible AI practices. This training is ideal for beginners, business users, students & non-technical professionals looking to build foundational AI knowledge without prior programming or ML experience.

Radical Technologies

50,000+ English 44 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 44 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

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

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

44 hours

Training Duration

Core Modules

107

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 AI 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

23 sections • 107 lessons • 44 hours

Jump to Section

Total Duration

44 hours

100% Practical · Unlimited Doubt Sessions

01 AI-900: Microsoft Azure AI Fundamentals – Training Syllabus

Duration: 12 Hours

Target Audience: Beginners, Business Users, Students, Non-technical professionals wanting to understand AI on Azure.

Prerequisites: No prior AI/ML or programming experience required.

02 Module 1: Introduction to Artificial Intelligence

• What is Artificial Intelligence?

• AI Workloads & Applications

• Machine Learning vs Deep Learning vs AI

• Responsible AI Principles (Fairness, Transparency, Privacy, Accountability)

Assignment: Identify AI applications in Healthcare, Retail, and Finance.

03 Module 2: Fundamentals of Machine Learning

• What is Machine Learning?

• Supervised, Unsupervised, Reinforcement Learning

• Features, Labels, and Training Data

• Overfitting & Underfitting Concepts

• ML Lifecycle Basics

Hands-On Lab: Use Azure Machine Learning Studio to build a simple classification model.

04 Module 3: Azure Machine Learning Services

• Introduction to Azure Machine Learning (Azure ML)

• AutoML in Azure

• No-code ML model building in Azure ML Studio

• Model deployment concepts

Assignment: Build a prediction model for loan approvals using AutoML.

05 Module 4: Computer Vision on Azure

• Basics of Image Classification & Object Detection

• Azure Computer Vision Service

• Azure Custom Vision Service (Training & Prediction)

• OCR (Optical Character Recognition) in Azure

• Face Detection and Analysis

Hands-On Lab: Create a Custom Vision model to classify product images.

06 Module 5: Natural Language Processing (NLP) on Azure

• Language Understanding Concepts (LUIS)

• Text Analytics (Sentiment Analysis, Key Phrase Extraction)

• Speech Recognition and Speech Synthesis

• Translator Service in Azure

Hands-On Lab: Use Azure Cognitive Services to perform sentiment analysis on customer feedback.

07 Module 6: Conversational AI on Azure

• Basics of Conversational AI & Chatbots

• Azure Bot Service & QnA Maker

• Integrating Chatbots with Teams/Website

• Building FAQ Bots with Cognitive Services

Hands-On Lab: Build a QnA chatbot for a company knowledge base.

08 Module 7: Responsible AI and Security

• Bias and Fairness in AI

• AI Security and Data Privacy

• Governance and Compliance in Azure AI

• Tools for Monitoring AI Models

Assignment: Discuss an ethical AI case study where bias was detected in a model.

09 Final Capstone Project

Build an AI-powered Customer Support System:

1. Use Azure Computer Vision to extract text from images (customer complaints).

2. Perform sentiment analysis on text using Text Analytics.

3. Build a QnA chatbot using Azure Bot Service to handle FAQs.

10 🎓 Certification Exam (AI-900) Overview

• Exam Duration: 45–60 minutes

• Question Format: Multiple-choice, Case studies, Drag & Drop

• Passing Score: 700/1000

• Skills Measured:

o Describe AI workloads & Responsible AI

o Describe fundamentals of ML on Azure

o Describe features of Computer Vision on Azure

o Describe features of NLP on Azure

o Describe features of Conversational AI on Azure

11 Deliverables from Training:

• 10+ Hands-on Labs

• 20+ Assignments

• 1 Capstone Project

• Practice Exam Questions

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

Duration: 32 Hours (5–6 Weeks)

Level: Associate Level – Good for Beginners to 5+ year experienced professional

Prerequisites:

• Knowledge of AI/ML concepts (AI-900 recommended)

• Familiarity with Python or C#

• Basic Azure experience (subscriptions, resource groups, Azure portal)

13 Module 1: Introduction to AI on Azure

• AI Solution Development Lifecycle

• Azure Cognitive Services Overview

• Provisioning Cognitive Services in Azure

• Authentication & Security (Keys, Endpoints, RBAC, Managed Identity)

Assignment: Create a resource group and deploy a Cognitive Services resource.

14 Module 2: Computer Vision Solutions

• Azure Computer Vision API (Image Analysis, OCR, Read API)

• Face API (Face Detection, Recognition, Verification)

• Custom Vision (Image Classification, Object Detection, Model Training)

• Video Indexer for video insights

Hands-On Lab:

›• Build an image classification model using Azure Custom Vision
›• Perform OCR on scanned documents

15 Module 3: Natural Language Processing (NLP)

• Text Analytics (Key Phrases, Sentiment Analysis, Named Entity Recognition)

• Translator Service

• Language Understanding (LUIS / Conversational Language Understanding)

• Designing Intent, Entities, and Utterances

Hands-On Lab: Create a language understanding model for customer support queries.

16 Module 4: Conversational AI with Azure Bot Service

• Bot Framework SDK and Composer

• Integrating LUIS into Bots

• Designing Multi-turn Conversations

• Deploying Chatbots to Microsoft Teams or Web

Hands-On Lab: Create a chatbot that answers FAQs using QnA Maker + LUIS.

17 Module 5: Knowledge Mining with Azure Cognitive Search

• Introduction to Azure Cognitive Search

• Data Sources (Blob Storage, SQL, Cosmos DB)

• Indexes, Indexers, Skills

• Enrichment Pipelines (OCR, Entity Recognition, Key Phrases)

• Building Searchable Knowledge Graphs

Hands-On Lab: Create a knowledge mining solution for scanning and searching PDF documents.

18 Module 6: Implementing Speech Solutions

• Speech-to-Text & Custom Speech Recognition

• Text-to-Speech (Neural Voices)

• Speaker Recognition

• Speech Translation Service

Hands-On Lab: Implement speech-to-text for meeting transcripts and text-to-speech

›with neural voice.

19 Module 7: Designing Responsible AI Solutions

• Responsible AI principles (Fairness, Inclusiveness, Transparency, Accountability,

Reliability)

• Using Content Moderator Service

• Bias detection & model fairness considerations

• Security (Key Vault, RBAC, Private Endpoints)

Assignment: Review an AI solution for bias and propose remediation steps.

20 Module 8: Monitoring, Deployment, and Optimization

Azure AI resource scaling and monitoring

• Logging and tracing with Application Insights

• Deploying AI solutions as containers (Docker + Cognitive Services containers)

• CI/CD for AI models (DevOps + GitHub Actions)

• Cost optimization for AI workloads

Hands-On Lab: Deploy an Azure Cognitive Service containerized solution with Docker.

21 Assignments & Projects

✅ Assignments per Module (20+ total)

›• Build an OCR solution to extract data from invoices.
›• Implement facial verification for a secure login portal.
›• Train a Custom Vision model to classify damaged products.
›• Deploy a chatbot for a retail website FAQ.
›• Create a sentiment analysis dashboard using Text Analytics + Power BI.

✅ Real-World Projects (Capstone)

1. Smart Retail Assistant

o Use Computer Vision to detect products from camera feeds.

o Analyze customer feedback using Text Analytics.

o Deploy a chatbot for product queries.

2. AI-Powered Document Management System

o Ingest documents into Blob Storage.

o Use OCR + Cognitive Search for knowledge mining.

o Implement chatbot + speech interface to query documents.

3. Voice-Enabled Customer Support

o Convert customer calls to text with Speech-to-Text.

o Run sentiment analysis on transcripts.

o Respond with Text-to-Speech chatbot integrated with Azure Bot Service.

22 Certification Exam (AI-102) Overview

• Exam Duration: ~120 minutes

• Question Types: Multiple choice, drag/drop, case studies, hands-on scenarios

• Passing Score: 700/1000

• Skills Measured:

o Plan and Manage Azure AI Solutions

o Implement Computer Vision Solutions

o Implement NLP Solutions

o Implement Conversational AI Solutions

o Implement Knowledge Mining Solutions

23 Deliverables

• 20+ Assignments

• 10+ Hands-on Labs

• 3 End-to-End Real-World Projects

• Exam Preparation Guide with Sample Questions

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

107+

Hands-On Lessons

Core Modules

44 hours

Training Duration

100%

Practical Training

You don't just learn AI-900: MICROSOFT AZURE AI FUNDAMENTALS + AI-102: DESIGNING AND IMPLEMENTING A MICROSOFT AZURE AI SOLUTION. 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

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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

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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.