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.
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
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
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
