Microsoft Azure AI Training Online

9 Lesson

25 Hours

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igmGuru offers one the best Microsoft Azure Artificial Intelligence (AI) course online worldwide. This comprehensive AI training program covers key topics such as building intelligent applications using Azure Cognitive Services, developing machine learning models with Azure Machine Learning, implementing conversational AI with Azure Bot Service, and understanding responsible AI principles. These Microsoft AI course modules are designed by industry experts with over 15 years of experience. Enroll in the Microsoft AI training today to prepare for Azure AI certifications and become a certified Azure AI professional.

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Overview

Prerequisites:

Basic understanding of cloud computing and Microsoft Azure
Familiarity with programming concepts (Python or C# preferred)
Basic knowledge of data handling and preprocessing
Interest in AI and machine learning (ML) fundamentals
No prior AI experience required

What You Will Learn:

Microsoft Azure AI platform overview
Azure Cognitive Services: vision, speech, language, decision-making
Building and deploying machine learning models with Azure ML
Creating chatbots using Azure Bot Service and LUIS
Data preprocessing and feature engineering
Responsible AI principles: fairness, privacy, ethics
Automating AI workflows and pipelines
Integrating AI with Azure Functions and Power Platform
Monitoring and optimizing AI models in production
Preparing for AI certifications AI-900 and AI-102

Tools and Technologies Covered

Microsoft Azure Portal
Azure Machine Learning Studio
Azure Cognitive Services (Vision, Speech, Language)
Azure Bot Service
Python & R for AI/ML
Jupyter Notebooks
Azure Databricks
APIs & REST services
Model Deployment & Monitoring

Career Opportunities After Completing Microsoft AI Training

Azure AI Engineer
Data Scientist
AI/ML Developer
Cloud Solutions Architect
AI Consultant
Chatbot Developer
MLOps Engineer

Key Features

Experienced Trainers
Instructor Led Training: 25 Hrs
24 X 7 Lifetime Support & Access
1 On 1 Training Option Available
Flexible Schedule
100% Job Assistance

Course Curriculum

Lesson 1 - Introduction to AI and Microsoft Azure AI Platform

1. Overview of Artificial Intelligence and machine learning concepts

2. Introduction to Microsoft Azure AI services and ecosystem

3. Understanding AI workloads and solutions on Azure

Lesson 2 - Azure Cognitive Services Fundamentals

1. Exploring Vision APIs- Computer Vision, Custom Vision, Face API

2. Language APIs - Text Analytics, Translator, Language Understanding (LUIS) basics

3. Speech APIs - Speech to Text, Text to Speech, Speech Translation

4. Decision APIs - Anomaly Detector, Content Moderator

Lesson 3 - Building and Deploying Machine Learning Models

1. Introduction to Azure Machine Learning Studio and workspace setup

2. Data preparation, feature engineering, and dataset management

3. Automated ML and custom model training

4. Model evaluation, validation, and tuning

5. Deploying models as web services

Lesson 4 - Developing Conversational AI Solutions

1. Introduction to Azure Bot Service and Bot Framework

2. Designing dialogs and bot architecture

3. Integrating Language Understanding (LUIS) for natural language processing

4. QnA Maker integration for FAQ bots

5. Deploying and managing bots on Azure

Lesson 5 - Responsible AI and Ethical Considerations

1. Principles of responsible AI: fairness, transparency, accountability

2. Mitigating bias in AI models

3. Data privacy and security best practices

4. Compliance with AI ethics and regulations

Lesson 6 - Automating AI Workflows and Pipelines

1. Creating and managing ML pipelines in Azure ML

2. Automating data processing and model retraining

3. Integration with Azure DevOps for continuous integration and deployment

Lesson 7 - Integration and Advanced AI Solutions

1. Combining AI services with Azure Functions, Logic Apps, and Power Platform

2. Using AI for business process automation

3. Real-world AI solution architectures and use cases

Lesson 8 - Monitoring, Troubleshooting, and Optimizing AI Solutions

1. Monitoring AI models in production

2. Diagnosing and resolving common issues

3. Performance tuning and cost optimization

Lesson 9 - Certification Preparation and Exam Strategies

1. Overview of Microsoft AI certifications: AI-900 and AI-102

2. Exam domains, sample questions, and study resources

3. Tips and strategies for successful certification

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 25 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 05 Jul 2026
Weekday Batch 06 Jul 2026
Weekend Batch 11 Jul 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

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Azure AI Certification Exams

Official Certification Exams:

AI-900: Microsoft Certified: Azure AI Fundamentals
AI-102: Microsoft Certified: Azure AI Engineer Associate

Exam Format:

Duration:
- AI-900: Approximately 60 minutes
- AI-102: Approximately 120 minutes
Number of Questions:
- AI-900: 40–60 multiple-choice and scenario-based questions
- AI-102: 40–60 scenario-based multiple-choice, case studies, and drag-and-drop questions
Passing Score:
- Typically around 700 out of 1000 points (varies per exam)
Type:
- Scenario-based multiple-choice, drag-and-drop, and case study questions
Mode:
- Online proctored or at authorized test centers

Certification:

Upon successful completion of the course and internal assessments, learners will receive an igmGuru Course Completion Certificate in Microsoft AI to validate their skills and preparation.

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Microsoft Azure AI Training Online