Azure AI Foundry (AI-102)
Build intelligent applications with Azure AI services including language, vision, speech, and OpenAI.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on VM labs included
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Mon, 14 Dec 2026 · 32 hours · 4 days
Course at a glance
Azure AI Foundry (AI-102)
Duration: 32 hours · 4 days
Next batch: Mon, 14 Dec 2026
Format: Online live · Bengaluru classroom
Modules: 7 · Topics: 35
Level: Intermediate
VM labs: Included
Trusted by leading experts
About the course
A comprehensive, hands-on course covering Azure AI services for building production-grade intelligent applications. Master computer vision, natural language processing, speech, and Azure OpenAI while preparing for the AI-102 certification.
Requirements
- Azure fundamentals knowledge
- Programming experience in Python or C#
- REST API concepts and experience
Who this course is for
AI developers building Azure solutions
Software engineers integrating AI
Data scientists moving to Azure
Solutions architects designing AI systems
Prerequisites
Azure fundamentals, programming experience in Python or C#, REST API knowledge
Level
Intermediate
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 32 hours · 4 days
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
Labs
Hands-on VM labs included. Dedicated Azure environments provisioned for each participant with pre-configured AI services, SDKs, and sample datasets.
What you'll learn
- Design and implement Azure AI solutions
- Work with Azure OpenAI Service
- Build computer vision applications
- Implement natural language processing
- Create conversational AI solutions
- Integrate speech services
- Monitor and secure AI applications
- Prepare for AI-102 certification
Skills you will gain
AI Development
Integration
Operations
Tools and platforms covered
Course curriculum
M01 Azure AI Fundamentals
- Azure AI services overview
- Provisioning and managing AI resources
- Authentication and security
- SDKs and REST APIs
- Cost optimization and quotas
🧪 Hands-on: Provision Azure AI services and configure access
M02 Azure OpenAI Service
- Azure OpenAI fundamentals
- Deploying models (GPT-4, GPT-3.5)
- Prompt engineering and completion
- Chat completion API
- Embeddings and semantic search
- Content filtering and responsible AI
🧪 Hands-on: Build a Q&A application with Azure OpenAI
M03 Computer Vision
- Image analysis and tagging
- Object detection
- Optical Character Recognition (OCR)
- Face detection and recognition
- Custom Vision models
🧪 Hands-on: Build image analysis and document processing pipelines
M04 Natural Language Processing
- Language detection and translation
- Entity recognition and key phrase extraction
- Sentiment analysis
- Question answering
- Custom text classification
🧪 Hands-on: Create a text analytics application
M05 Conversational AI
- Language Understanding (LUIS)
- QnA Maker and custom question answering
- Azure Bot Service fundamentals
- Bot Framework SDK
- Multi-channel deployment
🧪 Hands-on: Build and deploy a conversational bot
M06 Speech Services
- Speech-to-text and text-to-speech
- Speech translation
- Intent recognition from speech
- Custom speech models
🧪 Hands-on: Implement voice-enabled applications
M07 Monitoring, Security & Best Practices
- Azure Monitor and Application Insights
- Logging and diagnostics
- Managed identities and Key Vault
- Content moderation and safety
- AI-102 exam preparation
🧪 Hands-on: Secure and monitor AI solutions
Why train with us
Built around your workflows
Examples and exercises adapted to your Azure environment and AI use cases.
Practice-first
Every module includes hands-on VM labs with Azure AI services.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, exercise completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the exercises receive a Learning Dots certificate of completion for Azure AI Foundry (AI-102).
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
Frequently asked questions
Who is this course for?
AI developers, Software engineers building AI applications, Data scientists transitioning to Azure, Solutions architects designing AI systems.
What are the prerequisites?
Azure fundamentals, programming experience in Python or C#, REST API knowledge. Level: Intermediate.
Does this course include hands-on VM labs?
Yes. Dedicated Azure VM lab environments are included with this course for hands-on practice.
Does this course prepare me for certification?
Yes. This course aligns with the Microsoft AI-102 certification exam.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and use cases can be tailored to your AI projects.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
How long is the course?
32 hours · 4 days. Corporate batches can be split into half-day sessions.