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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
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

Speaker image

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


He is a renowned Speaker, Solution Architect, Mentor, and 10-time Microsoft MVP (2016–2025). 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.

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