DESCRIPTION
This workshop offers a comprehensive dive into Edge Artificial Intelligence (AI), led by industry professionals and experts. It covers essential concepts and hands-on practices for understanding, deploying, and applying AI at the edge using devices like Raspberry Pi.
This Workshop is conducted by:
Mr.Udhaya kumar Thirupparangiri - Manager Engineering,MARSCAPTECH-SOFTWARE-SOLUTIONS,A CISCO-EMPLOYEE
SESSION BREAKDOWN
Morning Session – Foundations of AI & Edge AI
- Overview of key terminologies: Big Data, Data Science, Data Analytics, Data Engineering, ML, and AI
- Introduction to Machine Learning and Artificial Intelligence
- Types of AI and their applications
- Edge AI Overview – What it is and why it matters
- Cloud AI vs. Edge AI – key differences
- Fundamentals of Edge Computing and deployment on edge devices
Afternoon Session – Practical Edge AI Development
- Latency, bandwidth, and privacy considerations in Edge AI
- Overview of edge devices: Raspberry Pi, Jetson Nano, Coral TPU
- Sensors, microcontrollers, and embedded systems in Edge AI solutions
- Power vs. performance trade-offs in edge computing
- Lightweight AI frameworks: TensorFlow Lite, PyTorch Mobile, ONNX
- Edge operating systems and runtime environments
- Model optimization techniques – quantization, pruning
- Advantages, constraints, and industry adoption of Edge AI
- Hands-on Applications using Raspberry Pi and Edge AI
- Project work: Build and deploy an AI model on an edge device
VENUE
NEW ADMIN BLOCK