From Developer to AI Engineer – Build, Train & Deploy AI on Azure with Python

13th March, 2026

8:30 PM-10:30 PM IST

2 Hours

Live Session

172

Registered

FREE

No Cost

Shailendra Chauhan

Microsoft MVP, Founder & CEO at ScholarHat

Overview

Artificial Intelligence is transforming how modern applications are built. From intelligent search and chatbots to recommendation systems and automation, AI is becoming a core capability across industries.

This master class is designed for developers (backend developers, frontend engineers), cloud engineers, or software architects from any technology background who want to transition into the world of AI engineering. You will learn how AI systems are built, how machine learning models are trained, and how these models are deployed into real-world applications.

Using Python and Azure AI services, you will explore how developers can integrate AI capabilities into applications and build intelligent systems that scale in production environments.

Master Class Agenda

1. Python for AI and Gen AI

Understanding AI, Machine Learning, and Generative AI
Real-world AI architecture used by modern companies
Setting up the AI development environment
Overview of essential Python libraries (NumPy, Pandas)

2. AI Development with Azure AI Services

Overview of Azure AI platform and AI services
Integrating Azure AI services into modern applications

3. Building an End-to-End AI Application

Data ingestion and preprocessing pipeline
Model training and evaluation workflow
Deploying AI models as scalable APIs
Integrating AI capabilities into real applications

4. Roadmap to Become an Azure AI Architect

Essential AI and cloud architecture skills for 2026
Tools and platforms every AI architect must know
AI portfolio projects that help you stand out
Certifications and learning paths for Azure AI

Who Should Attend?

Developers exploring AI on Azure
Senior Developers preparing for Cloud or AI Architect roles
Tech Leads designing scalable AI systems on multi-cloud platforms
Engineers working with distributed systems, cloud, or AI services
Architects planning AI modernization using Azure

Why Join This Masterclass?

Most developers learn how to build APIs, but very few learn how to design scalable systems. In this masterclass you will learn:

How architects decide where to deploy AI — Azure
Real-world Azure AI services used in large-scale systems
How to avoid distributed monoliths in AI-driven architectures
Key principles for building scalable, resilient AI systems on cloud platforms
How modern teams design Cloud AI architectures with Azure

About Speaker

Shailendra Chauhan (Microsoft MVP, Founder & CEO at ScholarHat)

He is a renowned Speaker, Solution Architect, Mentor, and 11-time Microsoft MVP (2016–2026). With expertise in AI/ML, GenAI, System Design, Azure Cloud, .NET, Angular, React, Node.js, Microservices, DevOps, and Cross-Platform Mobile App Development, he bridges traditional frameworks with next-gen innovations.

He has trained 1 Lakh+ professionals across the globe, authored 45+ bestselling eBooks and 1000+ technical articles, and mentored 20+ free courses. As a corporate trainer for leading MNCs like IBM, Cognizant, and Dell, Shailendra continues to deliver world-class learning experiences through technology & AI.

Learners who made the switch

5.0 from 1 learner reviews

I recently completed the Azure AI and Generative AI Certification Training from ScholarHat, and it has been an outstanding experience. The program is perfectly suited for both beginners and seasoned developers looking to dive into cutting-edge AI technologies. Mr. Shailendra Sir brings immense expertise and passion to every session, patiently addressing all doubts with clear, real-world examples. The curriculum is meticulously crafted to align with current industry demands, covering essential topics like Azure AI services, prompt engineering, and generative models in great depth. For busy professionals like me, this structured yet flexible training is a game-changer, allowing skill enhancement without disrupting work schedules. Heartfelt thanks to the entire ScholarHat team for delivering such high-quality, transformative learning! Highly recommended.