Multimedia

HRDC Reg. No: TBA

Course Duration: 40 Hours (10 Days)

Course Overview

This comprehensive 10-day program delivers a hands-on, end-to-end journey from foundational Artificial Intelligence (AI) and Machine Learning (ML) concepts to advanced Generative AI and enterprise-grade AI systems built on Microsoft Azure.

Participants will begin with core machine learning principles, including supervised learning and model development, before progressing into Generative AI, embeddings, Retrieval-Augmented Generation (RAG), AI agents, and multi-agent orchestration.

Leveraging Azure-native technologies such as Azure OpenAI, Azure AI Foundry, Azure Cognitive Search, Cosmos DB, Semantic Kernel, and LangChain, learners will design, build, deploy, evaluate, and optimize production-ready AI solutions.

By the end of the course, participants will be capable of developing scalable AI systems, integrating APIs, deploying MCP servers, and managing performance in real-world enterprise environments.

Who Should Attend

This course is ideal for:

• Software engineers and developers
• AI/ML engineers
• Solution architects
• Cloud engineers working with Azure
• Technical consultants and system integrators
• Professionals building enterprise AI applications

Why Choose This Course

This program is designed for professionals who want to move beyond theory into real-world AI system development and deployment.

Key benefits include:

• End-to-end learning from ML fundamentals to advanced AI systems
• Hands-on experience with Azure OpenAI and AI Foundry
• Build RAG pipelines and AI agents
• Learn multi-agent orchestration and MCP integration
• Work with real enterprise tools and APIs
• Develop production-ready, scalable AI solutions

Learning Outcomes

By the end of this course, participants will be able to:

• Understand foundational AI, ML, and Generative AI concepts
• Build and train machine learning models using real datasets
• Implement Retrieval-Augmented Generation (RAG) architectures
• Use Azure OpenAI and AI Foundry for deployment and orchestration
• Develop AI agents with function calling, plugins, and LangChain
• Evaluate and optimize AI systems using Azure-native tools

Prerequisites

• Basic programming knowledge (preferably Python)
• Familiarity with cloud platforms (Azure preferred)
• Working Azure subscription with OpenAI and AI Foundry access
• Access to OpenAI API key
• Basic understanding of APIs

Lab Setup

Participants are required to prepare the following before the course:

Software & Tools:

• Anaconda
• Python 3.10+
• Visual Studio Code

Azure Services:

• Azure AI Foundry
• Azure OpenAI
• Azure Cognitive Search
• Cosmos DB

APIs & Integrations:

• OpenAI API key
• OpenWeather API
• Bing Search API

Development Tools:

• Azure CLI
• LangChain
• Semantic Kernel SDK
• VS Code extensions (Python, Azure Tools)

Teaching Methodology

This program is highly practical and project-driven:

• Instructor-led technical sessions
• Step-by-step guided labs
• Real-world enterprise use cases
• Hands-on system building
• Code-based implementation exercises
• Continuous evaluation and optimization practice