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Generative AI for business with Azure AI

Generative Artificial Intelligence is transforming the way businesses operate by enabling automation, personalization, decision-making, and innovation at scale. This Winter School focuses on applying Generative AI technologies using Microsoft Azure AI services for real-world business use cases such as marketing, finance, operations, customer service, and strategy.

Duration

2 Weeks

Skill Level

Moderate

Starts From:

2026-03-25

Category

Management And Finance

Overview

Participants will gain hands-on experience with Azure OpenAI, Cognitive Services, AI Studio, and Responsible AI frameworks, enabling them to design, deploy, and manage AI-powered business solutions. This course is ideal for students, faculty, professionals, and entrepreneurs seeking to leverage AI for competitive advantage.


Outcomes

After completion of the course, participants will be able to:
 
·  Understand core concepts of Generative AI and Azure AI services
·  Design AI-powered business applications using Azure OpenAI
·  Implement AI solutions for marketing, finance, HR, and operations
·  Analyze business data using AI-driven insights
·  Apply responsible AI principles in enterprise environments
·  Build and present a business-oriented AI project
 


Modules

Module 1: Introduction to Generative AI (2 hrs)

·         Basics of AI, ML, and Deep Learning

·         Introduction to Generative AI and LLMs

·         Business impact of Generative AI


Module 2: Azure AI Ecosystem (2 hrs)

·         Overview of Microsoft Azure

·         Azure AI Services and Azure OpenAI

·         Cognitive Services and AI Studio


Module 3: Generative AI for Business Applications (2 hrs)

·         AI in Marketing & Customer Engagement

·         AI in Finance and Risk Management

·         AI in HR and Operations


Module 4: Hands-on with Azure OpenAI (2 hrs)

·         Prompt engineering

·         Chatbots and AI assistants

·         Text, image, and content generation


Module 5: Responsible & Ethical AI (2 hrs)

·         AI governance and compliance

·         Bias, fairness, transparency

·         Security and privacy in Azure AI


Module 6: Project Work & Case Studies (2 hrs)

·         Business case analysis

·         Mini project development

·         Project presentation


Total Hours: 12



Our Trainers

Ms. Nidhi Bhargawa
https://www.linkedin.com/in/nidhi-bhargava/
Mr. Vikash Sarkar
Experienced in Cognitive Computing, LLM, RAG, AI agents, Agentic AI, AI application
Mr. Ashish Chandiok
Cognitive Computing • AI Agents • Large Language Models (LLM) • Retrieval-Augmented Generation (RAG) • Agentic AI

Contact

Name: Shiv Shankar Prajapati

Mobile No: 8959731246

Email: [email protected]


Online Course Image

This Premium course is included in plans

₹ 1000/-

Registration Closed