Azure AI Engineering & Intelligent Systems
About this talk
Delivered a 9-day training program for 2nd-year AIML students, covering computer science fundamentals, machine learning, cloud computing, Azure AI, Retrieval-Augmented Generation (RAG), and AI Agents through hands-on learning and real-world use cases.
Talk Notes
Overview
Conducted a 9-day technical training program for 2nd-year Artificial Intelligence & Machine Learning students at SJB Institute of Technology (SJBIT), Kengeri. The program was designed to strengthen foundational computer science concepts while introducing students to modern AI engineering practices using Microsoft Azure.
The sessions bridged academic concepts with practical industry applications, enabling students to understand how intelligent systems are built, deployed, and scaled in real-world environments.
Objectives
- Strengthen core computer science fundamentals
- Build a foundation in machine learning concepts
- Introduce cloud computing and Azure AI services
- Demonstrate modern AI application architectures
- Enable students to explore RAG and AI Agent workflows
Topics Covered
Computer Science Foundations
- Data Structures & Algorithms
- Operating Systems
- Computer Networks
- System Design Fundamentals
Machine Learning Concepts
- Supervised Learning
- Unsupervised Learning
- Classification & Regression
- Model Evaluation Techniques
- Real-world Machine Learning Applications
Cloud Computing & Azure
- Introduction to Cloud Computing
- Microsoft Azure Fundamentals
- Azure AI Services
- AI Workloads on the Cloud
Modern AI Engineering
- Retrieval-Augmented Generation (RAG)
- Vector Embeddings & Knowledge Retrieval
- AI Agents and Agentic Workflows
- Enterprise AI Architecture Patterns
Hands-On Labs
- Azure AI Studio
- Building AI-Powered Applications
- Implementing RAG Pipelines
- Designing AI Agent Workflows
- Cloud Deployment Concepts
Activities
- Interactive technical sessions
- Live demonstrations
- Hands-on Azure AI labs
- Real-world case studies
- Architecture discussions and Q&A
Outcomes
- Improved understanding of AI and cloud technologies
- Practical exposure to Azure AI services
- Hands-on experience with RAG implementations
- Understanding of AI Agent architectures
- Stronger foundation for advanced AIML coursework
Impact
The program helped 2nd-year AIML students connect foundational computer science concepts with modern AI engineering practices. By combining theory with practical implementation, students gained valuable insights into how contemporary AI systems are designed, deployed and operated in industry environments.
Audience
- 2nd Year B.E. Artificial Intelligence & Machine Learning Students
Duration
- 9 Days
- Technical Trainer & Resource Person