Microsoft Azure AI-102 Exam Prep Training Course

Master AI-102 Exam Skills to Build, Secure, and Deploy Enterprise AI Solutions Using Microsoft Azure Services

This 1-week course has 78 dates from November 2026 to November 2027 in 54 cities and live online. The next date runs 16 – 20 November 2026 in Dubai. Fees per participant run from €4,100 (Cairo) to €14,000 (San Diego) in a classroom, and from €1,500 live online.

Microsoft Azure AI-102 Exam Prep Training Course
Duration
1 Week5 days
Next start
Dubai
Scheduled dates
78
Classroom cities
54Dubai, Vienna, Paris, London and more
Format
Classroom and live online
Fee per participant
€1,500–€14,000Average €5,750
  1. Home
  2. Our Categories
  3. Microsoft Azure AI-102 Exam Prep: Design & Deploy AI Solutions on Azure
Download Brochure (PDF) Print PDF

What does this course cover?

Course Overview

The "Microsoft Azure AI-102 Exam Prep: Design & Deploy AI Solutions on Azure Training Course" is an advanced, hands-on program crafted to equip AI Engineers and developers with the skills and confidence to design, implement, and manage Azure-based AI solutions. This course is aligned with the AI-102 Certification Training and prepares participants to pass the Microsoft Certified AI-102 Exam. Throughout the program, learners will master Azure Cognitive Services Training, Natural Language Processing in Azure, Azure Bot Service Development, Azure Computer Vision API Training, Azure Knowledge Mining Course, and how to Deploy AI Solutions with Azure SDK. This training offers in-depth, real-world scenarios using C# or Python, REST APIs for Azure AI, and tools like Custom Vision, Azure Document Intelligence, and Azure Cognitive Search Implementation. This course is ideal for software engineers, data specialists, and technical leaders aiming to elevate their Azure AI expertise and obtain Microsoft Azure AI Engineer certification.

 

Target Audience

  • AI Engineers
  • Software Developers
  • Data Scientists
  • Machine Learning Engineers
  • Solution Architects
  • IT Consultants

 

Targeted Organizational Departments

  • IT & Software Development Teams
  • Data & Analytics Departments
  • AI & Machine Learning Units
  • Cloud Architecture and DevOps Teams
  • Innovation and R&D Divisions

 

Targeted Industries

  • Information Technology
  • Finance & Banking
  • Healthcare & Life Sciences
  • Retail & E-Commerce
  • Government & Smart Cities
  • Education & Research Institutions

 

Course Offerings

By the end of this course, participants will be able to:

  • Build secure AI-infused applications using Azure Cognitive Services and REST APIs for Azure AI.
  • Implement Azure AI Services including NLP, vision, bots, and knowledge mining.
  • Design and deploy custom solutions using Azure SDKs and containers.
  • Analyze images, video, text, and speech using Microsoft Azure AI services.
  • Pass the Microsoft Certified AI-102 Exam confidently.
  • Utilize tools like Azure Document Intelligence Models, Custom Vision in Azure, Azure Bot Service, and Azure Cognitive Search.

 

Training Methodology

This course employs a blended training methodology including real-time case studies, interactive lab exercises, expert-led sessions, group discussions, and mock AI-102 practice tests. Participants will gain hands-on experience using Azure SDK, REST-based APIs, and C# or Python scripting to implement scalable AI solutions. The training emphasizes real-world implementation through AI-102-aligned assessments. Interactive sessions with scenario-based challenges, feedback loops, and demo labs covering Azure Machine Learning with AI and Speech-to-Text and Text-to-Speech with Azure will ensure knowledge retention and practical readiness.

 

Course Toolbox

  • Study guide (digital handout)
  • Sample projects using Azure Bot Framework & Azure Document Intelligence
  • REST API reference sheets
  • AI-102 Practice Tests and mock questions
  • Access to Microsoft Learn labs (via links)
  • Case studies, checklists, and Azure SDK templates

Note: Tool licenses or platforms are not provided. Instead, real-world tool use is demonstrated using publicly available Microsoft Azure resources.

 

Course Agenda

Day 1: Planning, Security & Responsible AI

  • Topic 1: Understand AI-102 Exam Scope & Azure AI Engineer Role
  • Topic 2: Select the Appropriate Azure AI Services for Vision, Language, and Speech
  • Topic 3: Plan for Responsible AI and Ethical Implementation
  • Topic 4: Configure Security for Azure AI Services and Manage Authentication
  • Topic 5: Create and Manage Azure AI Resources using Portal and SDK
  • Topic 6: Plan for Container Deployments and CI/CD Integration of AI Services
  • Reflection & Review: Reviewing exam weightings, key security practices, and planning checklists

 

Day 2: Computer Vision & Image Intelligence

  • Topic 1: Analyze Images using Computer Vision – Tags, Categories, Objects
  • Topic 2: Extract Text from Images and Handwriting using OCR
  • Topic 3: Implement Custom Vision for Image Classification and Object Detection
  • Topic 4: Train and Evaluate Custom Models with Compact or Cloud Hosting Options
  • Topic 5: Export Models for Edge Deployment and Container Use
  • Topic 6: Process Videos using Azure Video Indexer – Extracting Insights & Transcripts
  • Reflection & Review: Compare built-in vs custom vision tools, prepare for scenario-based vision questions

 

Day 3: Natural Language & Speech Intelligence

  • Topic 1: Analyze Text – Key Phrases, Entities, Sentiment, and PII Detection
  • Topic 2: Implement Text-to-Speech and Customize Voice Output with SSML
  • Topic 3: Implement Speech-to-Text and Enhance Accuracy with Custom Models
  • Topic 4: Translate Text and Speech in Real Time across Multiple Languages
  • Topic 5: Build and Optimize Language Understanding (LUIS) Models
  • Topic 6: Create Question Answering Systems with Multi-Turn Dialogue and Metadata
  • Reflection & Review: Exam tips for text analytics, LUIS structure, and voice service integration

 

Day 4: Bots, Orchestration & Multi-Channel Conversational AI

  • Topic 1: Design Conversational Flows and Dialog Logic
  • Topic 2: Build Bots Using Azure Bot Framework SDK and Composer
  • Topic 3: Implement Multi-Language Support and Adaptive Cards in Bots
  • Topic 4: Integrate Language, QnA, and Speech Services into a Unified Bot
  • Topic 5: Test Bots in Emulator and Live Channels like Teams or Web Chat
  • Topic 6: Publish, Deploy, and Monitor Bots in Production
  • Reflection & Review: Discuss conversational architecture, troubleshoot bot failures, review adaptive flows

 

Day 5: Cognitive Search, Knowledge Mining & Exam Preparation

  • Topic 1: Provision and Configure Azure Cognitive Search
  • Topic 2: Define Indexes, Data Sources, and Build Indexers
  • Topic 3: Apply AI Enrichment with Built-In and Custom Skills
  • Topic 4: Deploy AI Models using SDK, REST APIs, and Containers
  • Topic 5: Monitor Costs, Set Alerts, and Enable Diagnostic Logging for AI Services
  • Topic 6: Take AI-102 Practice Exam and Review Key Exam Domains
  • Reflection & Review: Final Q&A, Confidence Check, Mock Scenarios, Exam Strategy Planning

 

FAQ

What specific qualifications or prerequisites are needed for participants before enrolling in the course?

Participants should have working knowledge of Microsoft Azure, experience with programming in C# or Python, and familiarity with REST APIs.

How long is each day's session, and is there a total number of hours required for the entire course?

Each day's session is generally structured to last around 4-5 hours, with breaks and interactive activities included. The total course duration spans one week, approximately 20-25 hours of instruction.

What is the difference between Azure Cognitive Search and Azure Cognitive Services?

Azure Cognitive Services are pre-built APIs for vision, speech, and language, while Azure Cognitive Search combines indexing with AI enrichment to enable intelligent search experiences. Both are essential for AI-102 Certification Training.

 

How This Course is Different from Other Microsoft Azure AI-102 Exam Prep Courses

Unlike many AI-102 Exam Preparation programs that focus only on theoretical learning, this course provides a high-impact, project-based training approach. It incorporates hands-on labs using REST APIs for Azure AI, Custom Vision in Azure, Azure Bot Framework, and Azure Document Intelligence Models. Participants will not only understand how to pass the Microsoft Certified AI-102 Exam but will be able to immediately implement AI-powered solutions in their work environments. This course also integrates insights from Azure Machine Learning with AI and emphasizes Responsible AI principles and real-world deployment scenarios, making it highly suitable for developers, engineers, and architects looking to apply their learning in enterprise-scale solutions.

 

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Download Brochure (PDF) Print PDF

When and where does this course run?

Showing 1-20 of 78 events
Image Location Dates Duration Mode Price Actions
Dubai Dubai Week 47, 2026
16 – 20 November 2026 		1 Week Onsite €4,500
Vienna Vienna Week 47, 2026
16 – 20 November 2026 		1 Week Onsite €5,700
Paris Paris Week 48, 2026
23 – 27 November 2026 		1 Week Onsite €5,700
London London Week 49, 2026
30 November – 4 December 2026 		1 Week Onsite €5,700
Amsterdam Amsterdam Week 50, 2026
7 – 11 December 2026 		1 Week Onsite €5,700
Istanbul Istanbul Week 51, 2026
14 – 18 December 2026 		1 Week Onsite €4,500
Geneva Geneva Week 52, 2026
27 – 31 December 2026 		1 Week Onsite €6,200
Bali Bali Week 52, 2026
27 – 31 December 2026 		1 Week Onsite €5,700
Porto Porto Week 53, 2026
28 December 2026 – 1 January 2027 		1 Week Onsite €5,700
Nairobi Nairobi Week 53, 2027
3 – 7 January 2027 		1 Week Onsite €4,500
Toronto Toronto Week 53, 2027
3 – 7 January 2027 		1 Week Onsite €12,000
Accra Accra Week 02, 2027
11 – 15 January 2027 		1 Week Onsite €4,850
New York New York Week 02, 2027
11 – 15 January 2027 		1 Week Onsite €12,000
Munich Munich Week 03, 2027
18 – 22 January 2027 		1 Week Onsite €5,700
Bangkok Bangkok Week 03, 2027
24 – 28 January 2027 		1 Week Onsite €6,000
London London Week 04, 2027
25 – 29 January 2027 		1 Week Onsite €5,700
Langkawi Langkawi Week 04, 2027
31 January – 4 February 2027 		1 Week Onsite €6,000
Zanzibar Zanzibar Week 04, 2027
31 January – 4 February 2027 		1 Week Onsite €5,500
Marbella Marbella Week 04, 2027
31 January – 4 February 2027 		1 Week Onsite €5,700
Trabzon Trabzon Week 05, 2027
7 – 11 February 2027 		1 Week Onsite €6,800

Frequently asked questions

When does this course next run?

The next date runs 16 – 20 November 2026 in Dubai. It is one of 78 dates scheduled up to November 2027.

Where is this course held?

In a classroom in 54 cities: Dubai, Vienna, Paris, London, Amsterdam, Istanbul, Geneva, Bali, and more. It is also scheduled as live online sessions.

Can I attend this course online?

Yes. One date is scheduled as a live online session: 23 – 27 August 2027, from €1,500 per participant.

How long is the course?

1 Week. Each date shows its start and end dates.

How much does the course cost?

Fees per participant run from €4,100 (Cairo) to €14,000 (San Diego) in a classroom, and from €1,500 live online. Each date shows its own fee.

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Can this course be run for our team?

Yes. Tell us the number of participants and your preferred dates and city through our training request form.

This course by city

More ways to train

Related courses

Azure DevOps Engineer: AZ-400 Exam Mastery & Certification Prep

Azure DevOps Engineer: AZ-400 Exam Mastery & Certification Prep
More Dates And Locations
Microsoft Azure Cloud Services Mastery: From Fundamentals to Advanced Administration

Microsoft Azure Cloud Services Mastery: From Fundamentals to Advanced Administration
More Dates And Locations
End-to-End Agile Delivery with Azure Boards, Repos, Pipelines & Test Plans

End-to-End Agile Delivery with Azure Boards, Repos, Pipelines & Test Plans
More Dates And Locations
Agile Leaders Training Center