Microsoft Azure AI Engineer Associate Training & Certification Course (72 Hours Master Program)

Microsoft Azure AI Engineer Associate Training: The Microsoft Azure AI Engineer Associate Training programme by SkilBrill is a comprehensive 12-week (72-hour) hands-on program covering Microsoft Azure AI Engineer Associate Training. Available in classroom (Chennai Thoraipakkam), live online, and hybrid modes across India.

Total Duration12 Wks (72 Hours)
Training ModesClassroom / Online
CertificationsSkilBrill Certificate
Key StackMicrosoft Azure AI Engineer Associate Training
PrerequisitesBasic IT. No coding required
Placement200+ Hiring Partners

Who Should Join?

Build job-ready Microsoft Azure AI Engineer Associate Training skills with live labs, projects, and placement support.

  • ✓Working professionals: Upskilling into Microsoft Azure AI Engineer Associate Training with production-style labs.
  • ✓Fresh graduates: CS and IT graduates aiming for Microsoft Azure AI Engineer Associate Training roles.
  • ✓Career switchers: Moving from adjacent IT roles into this stack.
  • ✓Consultants: Adding Microsoft Azure AI Engineer Associate Training to client delivery skills.
Fee: ₹15,000 – ₹75,000100% Practical Labs
72-Hour Syllabus

12-Module Microsoft Azure AI Engineer Associate Curriculum

Microsoft Azure AI Engineer Associate Training is a 12-week (72-hour) SkilBrill programme covering Microsoft Azure AI Engineer Associate Training. Delivery is classroom, live online and hybrid. The 12 modules below are the full syllabus — about 6 hours each, with labs. Completing them prepares you for SkilBrill Certificate and placement support.

1
Foundations

M1: M1 — Azure AI Fundamentals and AI-102 Scope

AI-102 skills measured, Azure AI Foundry and AI Studio, Identity and access for AI services

2
Foundations

M2: M2 — Python and REST for AI Workloads

Python SDK patterns, REST and JSON, Auth with keys and Microsoft Entra ID

3
Foundations

M3: M3 — Azure Cognitive Services – Vision

Image Analysis and Custom Vision, Form Recognizer / Document Intelligence, Face service overview

4
Core Skills

M4: M4 — Speech and Language Services

Speech-to-text and text-to-speech, Translator and Language service, CLU (Conversational Language Understand…

5
Core Skills

M5: M5 — Decision Services and Anomaly Detection

Anomaly Detector, Content Moderator, Personalizer

6
Platform

M6: M6 — Azure OpenAI Service

Model selection and quotas, Prompt engineering patterns, Function calling and tools

7
Platform

M7: M7 — RAG with Azure Cognitive Search

Index design and skillsets, Vector search and hybrid retrieval, Prompt Flow orchestration

8
Governance

M8: M8 — Azure Machine Learning

Workspaces and compute, Designer vs SDK, AutoML and pipelines

9
Governance

M9: M9 — MLOps and Monitoring

Model registry and versioning, Data drift detection, A/B testing online endpoints

10
Advanced

M10: M10 — Bot Framework and Conversational AI

Bot Framework SDK, Adaptive dialogs and language generation, Bot analytics and telemetry

11
Advanced

M11: M11 — Security, Cost and Responsible AI

Virtual network integration, Customer-managed keys, Cost optimisation patterns

12
Capstone

M12: M12 — Capstone and AI-102 Mocks

End-to-end GenAI application, Evaluation and monitoring, AI-102 mapped mocks

Frequently Asked Questions

Microsoft Azure AI Engineer Associate Training at SkilBrill is a live programme with labs, a completion certificate and placement support. The questions below cover eligibility, duration, tools, projects and how to enrol.

What is the Azure AI Engineer Associate training at SkilBrill?

A 12-week (72-hour) AI-102 mapped programme covering Azure Cognitive Services, Azure OpenAI, Azure ML, Bot Framework and applied GenAI.

Who should take this course?

AI engineers, ML engineers moving to production, software developers adding GenAI, and data scientists operationalising models on Azure.

Do I need prior AI experience?

Python fundamentals and basic Azure familiarity. Tools and concepts are taught from fundamentals.

Does this prepare me for AI-102?

Yes. AI-102 is the programme exam spine with mapped mocks and last-mile revision.

Which tools are covered?

Azure Cognitive Services, Azure OpenAI, Azure Machine Learning, Bot Framework, Azure AI Studio and Prompt Flow.

Is the training online or classroom?

Both, plus hybrid. Classroom is at SkilBrill Thoraipakkam, Chennai 600097.

What is the salary outlook?

Azure AI engineers earn ₹6 – 16 LPA. Call +91 8610964691.

How do I enrol?

Call +91 8610964691 or WhatsApp 918610964691.

How long is the Microsoft Azure AI Engineer Associate Training course at SkilBrill?

SkilBrill's Microsoft Azure AI Engineer Associate Training programme runs for 12 weeks with 3 sessions per week (2 hours each), totalling 72 classroom hours across 12 modules. Weekday, weekend and evening batches are available.

Why should I learn Microsoft Azure AI Engineer Associate Training at SkilBrill?

SkilBrill Training Institute in Thoraipakkam, Chennai delivers Microsoft Azure AI Engineer Associate Training with working-professional trainers, production-style labs and placement support. The programme is 12 weeks (72 classroom hours) with weekday, weekend and evening batches in classroom, live online and hybrid modes.

Does SkilBrill provide placement support after Microsoft Azure AI Engineer Associate Training?

Yes. Eligible SkilBrill learners receive resume building, LinkedIn optimisation, Microsoft Azure AI Engineer Associate Training mock interviews, project explanation practice and placement assistance with 200+ hiring partners. Call +91 8610964691 for the current process.

How do I enroll in Microsoft Azure AI Engineer Associate Training at SkilBrill?

Use the Enroll form on this page, call +91 8610964691, or WhatsApp 918610964691. Share your name, email and preferred mode (online, classroom or one-to-one) and a counsellor will confirm the next Microsoft Azure AI Engineer Associate Training batch. Fees currently range ₹15,000 – ₹75,000.

Where is SkilBrill Training Institute located?

SkilBrill is at No. 22, 200 Feet Radial Road, Thoraipakkam, Chennai 600097, on the OMR IT corridor, about five minutes from Thoraipakkam Metro. Classroom batches for Microsoft Azure AI Engineer Associate Training run here; online learners join the same faculty remotely.

SkilBrill's Training programmes also include IAM Training, SailPoint Training, Azure Data Engineering Training and SOC Training.

Microsoft Azure AI Engineer Associate Training

Categories: Microsoft AI

About Course

About Microsoft Azure AI Engineer Associate Training

Design and build AI solutions on Azure: Cognitive Services, Azure OpenAI, ML, Bot Service and applied GenAI.

12-week Azure AI Engineer Associate (AI-102) training: Cognitive Services, Azure OpenAI, Azure ML, Bot Framework, Applied GenAI. Live labs + placement.

Course Overview

12-week Azure AI Engineer Associate (AI-102) training: Cognitive Services, Azure OpenAI, Azure ML, Bot Framework, Applied GenAI. Live labs + placement.

Why Learn Microsoft Azure AI Engineer Associate Training

Indian GCC, SI and product teams actively hire microsoft ai professionals who can deliver from day one. This programme builds both the certification spine and the production scenarios hiring screens look for.

Who Should Join This Course

  • AI engineers — Specialising in applied AI on Azure.
  • ML engineers — Moving from training to production deployments.
  • Software developers — Adding GenAI and Cognitive Services.
  • Data scientists — Operationalising models on Azure ML.

Prerequisites

Python fundamentals and basic Azure (AZ-900 helpful). REST and JSON experience a plus.

Learning Objectives

  • Provision Azure AI resources securely
  • Use Cognitive Services for vision, speech, language and decision
  • Build RAG solutions with Azure OpenAI and Cognitive Search
  • Train, deploy and monitor models with Azure ML
  • Design and integrate Bot Framework solutions
  • Pass AI-102 mapped mocks

Tools and Technologies

Azure Cognitive Services, Azure OpenAI, Azure Machine Learning, Bot Framework, Azure AI Studio, Prompt Flow.

Career Opportunities After This Programme

  • Azure AI Engineer
  • Applied AI Engineer
  • ML Engineer
  • GenAI Engineer
  • Solutions Engineer

Hands-on Labs and Capstone

Capstone: Build an end-to-end GenAI assistant: ingest a policy corpus into Cognitive Search with vector indexes, orchestrate RAG with Prompt Flow, call Azure OpenAI with function tools and content safety, deploy to Azure App Service with Application Insights tracing.

Production scenario: An Azure OpenAI deployment hallucinates price data. Add grounding via Cognitive Search, enable content safety, cap token budgets and log citations for every response to pass a compliance audit.

Course Duration, Mode and Certification

The course runs for 12 weeks (72 hours). Modes: Classroom / Live Online / Hybrid. Certifications mapped: AI-102 Microsoft Azure AI Engineer Associate.

Why Train at SkilBrill

SkilBrill Training Institute in Thoraipakkam, Chennai focuses on making you employable. Trainers are working professionals, practice mirrors real job environments, and the placement cell connects eligible candidates with hiring companies. Fee: ₹45,000 – ₹75,000. Enquire on +91 8610964691.

Career and Job Support

  • Resume assistance tailored to Microsoft AI roles
  • LinkedIn profile rewrite and recruiter outreach
  • Mock interviews with production failure scenarios
  • Capstone project explanation preparation
  • Placement assistance with 200+ hiring partners
  • Typical salary band after completion: ₹6 – 16 LPA

Frequently Asked Questions

What is the Azure AI Engineer Associate training at SkilBrill?

A 12-week (72-hour) AI-102 mapped programme covering Azure Cognitive Services, Azure OpenAI, Azure ML, Bot Framework and applied GenAI.

Who should take this course?

AI engineers, ML engineers moving to production, software developers adding GenAI, and data scientists operationalising models on Azure.

Do I need prior AI experience?

Python fundamentals and basic Azure familiarity. Tools and concepts are taught from fundamentals.

Does this prepare me for AI-102?

Yes. AI-102 is the programme exam spine with mapped mocks and last-mile revision.

Which tools are covered?

Azure Cognitive Services, Azure OpenAI, Azure Machine Learning, Bot Framework, Azure AI Studio and Prompt Flow.

Is the training online or classroom?

Both, plus hybrid. Classroom is at SkilBrill Thoraipakkam, Chennai 600097.

What is the salary outlook?

Azure AI engineers earn ₹6 – 16 LPA. Call +91 8610964691.

How do I enrol?

Call +91 8610964691 or WhatsApp 918610964691.

Related Courses

Microsoft Azure AI Engineer Associate Training Locations

Quick Facts

Total Duration12 weeks (72 hours)
Training ModesClassroom / Live Online / Hybrid
CertificationsAI-102 Microsoft Azure AI Engineer Associate
Key StackAzure Cognitive Services, Azure OpenAI, Azure Machine Learning, Bot Framework, Azure AI Studio, Prompt Flow
PrerequisitesPython fundamentals and basic Azure (AZ-900 helpful). REST and JSON experience a plus.
Fee₹45,000 – ₹75,000 (INR)
Placement200+ Hiring Partners
Typical Salary₹6 – 16 LPA

Summary

SkilBrill’s Microsoft Azure AI Engineer Associate Training is a 12 weeks, 72-hour job-oriented programme covering Azure Cognitive Services, Azure OpenAI, Azure Machine Learning with placement support. Classroom, live online and hybrid modes. Call +91 8610964691 to enrol.

Real-World Projects

Capstone Project

Build an end-to-end GenAI assistant: ingest a policy corpus into Cognitive Search with vector indexes, orchestrate RAG with Prompt Flow, call Azure OpenAI with function tools and content safety, deploy to Azure App Service with Application Insights tracing.

Production Scenario

An Azure OpenAI deployment hallucinates price data. Add grounding via Cognitive Search, enable content safety, cap token budgets and log citations for every response to pass a compliance audit.

Microsoft Azure AI Engineer Associate Training locations

Enroll in Microsoft Azure AI Engineer Associate Training

Fee: ₹45,000 – ₹75,000. Call +91 8610964691 or WhatsApp.

Show More

What Will You Learn?

  • Provision Azure AI resources securely
  • Use Cognitive Services for vision, speech, language and decision
  • Build RAG solutions with Azure OpenAI and Cognitive Search
  • Train, deploy and monitor models with Azure ML
  • Design and integrate Bot Framework solutions
  • Pass AI-102 mapped mocks

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