What Is AI-103 Certification?
AI-103: Developing AI Apps and Agents on Azure focuses on building AI-powered applications and agentic solutions using Microsoft Azure technologies.
The AI-103 workshop helps developers understand how to select appropriate AI models and services, build generative AI applications, implement retrieval-augmented generation (RAG), create and orchestrate AI agents, and develop multimodal, speech, and information extraction solutions.
The training follows the AI-103 skills framework and combines conceptual learning with practical development scenarios.
AI-103 Training in Chennai for Developers
Modern AI development goes beyond connecting an application to a single model. Developers need to build applications that can retrieve information, use tools, reason across multiple steps, interact with users, and operate safely in production environments.
This AI-103 certification training in Chennai focuses on those practical development requirements using Python, Azure AI capabilities, Microsoft Foundry, SDKs, retrieval pipelines, and agent-based workflows.
The weekend-based format makes the program suitable for working developers and professionals who want to build their Azure AI development skills without leaving their current schedule.
Who Should Attend AI-103 Training?
This AI-103 training is suitable for:
Software developers and engineers building AI-powered applications on Azure
Azure AI and ML engineers moving into generative AI and agent development
Solution architects designing AI systems using Microsoft Foundry
Python developers looking to build and deploy production-ready AI agents
Technical professionals preparing for the Microsoft AI-103 certification exam
Recommended Prerequisites
Working knowledge of Python and familiarity with core Azure concepts are recommended. The workshop focuses on practical SDK usage, AI application development, deployment decisions, and agentic workflows rather than theory alone.
What You’ll Learn in AI-103
1. Plan and Manage Azure AI Solutions
Learn how to select suitable Microsoft Foundry models and AI services for different use cases. Understand AI application infrastructure, deployment options, monitoring, security, and cost management for AI applications and agent workloads.
2. Build Generative AI Applications with Microsoft Foundry
Learn to deploy and consume large language models, small models, and multimodal models. Understand how to implement RAG, build tool-augmented workflows, support multistep reasoning, and evaluate models for quality and safety.
3. Build and Orchestrate AI Agents
Understand how to define agent roles, goals, and tool schemas. Learn to integrate retrieval, function calling, and conversation memory while designing multi-agent solutions and autonomous workflows with safeguards and approval mechanisms.
4. Develop Computer Vision and Multimodal Solutions
Explore AI solutions for image and video generation and editing, along with multimodal understanding. Learn workflows for captioning, visual question answering, and object or region identification while considering responsible AI practices.
5. Build Text Analysis and Speech Solutions
Learn how generative AI can be used for entity extraction, topic identification, structured outputs, sentiment analysis, tone analysis, and safety detection. Explore speech-to-text, text-to-speech, and translation capabilities for AI-powered interactions.
6. Build Information Extraction and RAG Pipelines
Learn how to ingest and index documents, images, audio, and video. Understand semantic, hybrid, and vector search, along with OCR and layout analysis for structured data extraction. Connect retrieval pipelines with AI agent tools.
AI-103 Learning Outcomes
After completing the workshop, you will be able to:
Build and deploy generative AI applications using Microsoft Foundry
Design and orchestrate multi-agent AI solutions
Implement retrieval, tool integration, and agent workflows
Develop computer vision and multimodal AI solutions
Apply text analysis, speech, and information extraction techniques
Build RAG and retrieval pipelines for AI applications
Apply responsible AI practices to generative and agentic systems
Prepare systematically for the AI-103 certification exam
Why Choose AI-103 Training at DreamsPlus Institute?
Microsoft Syllabus-Aligned Learning
The workshop follows the AI-103 skills framework to help you prepare for the certification exam.
Practical AI Development Focus
Learn through development-oriented scenarios involving generative AI applications, RAG, AI agents, multimodal solutions, and Azure AI services.
Weekend Learning Format
Complete 32 hours across 4 weekends, making the program suitable for working professionals and developers.
Live Instructor-Led Sessions
Participate in live online sessions where you can learn concepts, discuss implementation scenarios, and clarify questions with instructors.
Certification Preparation
The program includes structured preparation and practice aligned with the AI-103 skills framework.
AI-103 Course Details
| Course Detail | Information |
|---|---|
| Certification | AI-103 – Developing AI Apps and Agents on Azure |
| Training Format | Online Instructor-Led Live Class |
| Duration | 32 Hours |
| Schedule | 4 Weekends |
| Target Audience | Developers & Technical Professionals |
| Recommended Knowledge | Python + Core Azure Concepts |
| Offer Price | ₹25,000 |
| Actual Price | ₹30,000 |
| Exam Fee | Included as stated in the program |
Frequently Asked Question
Yes. AI-103 is the Microsoft certification associated with Developing AI Apps and Agents on Azure. DreamsPlus Institute provides training and exam preparation; it does not issue the Microsoft certification.
As stated in the program details, the ₹25,000 offer includes the AI-103 exam fee, against the stated actual price of ₹30,000.
The program is 32 hours, delivered across 4 weekends.
Yes. The course is delivered as an Online Instructor-Led Live Class.
The program is primarily designed for software developers, Azure AI/ML engineers, solution architects, Python developers, and technical professionals preparing for AI-103.
Working knowledge of Python is recommended because the workshop involves SDK usage and practical AI application development.
The program covers Microsoft Foundry, generative AI, RAG, AI agents, multimodal AI, computer vision, speech, text analysis, information extraction, and Azure AI development workflows.
No. DreamsPlus Institute is an independent training provider. The workshop is aligned with the Microsoft AI-103 syllabus but is not affiliated with, sponsored by, or endorsed by Microsoft Corporation.
Start Building AI Applications and Agents on Azure
Take your Azure AI development skills to the next level with practical AI-103 certification training in Chennai.