Data Science: The AWS Revolution with AI and Neuroscience
Discover how AWS powers the future of data science by combining cutting-edge AI with insights from neuroscience to drive smarter decisions.
Date and time
Location
Online
Agenda
10:00 AM - 10:05 AM
OneData Software Introduction
10:05 AM - 10:15 AM
Intro: AWS,AI, Neuroscience Integration
10:15 AM - 10:25 AM
Hands-On Setup: AWS Free Tier, Jupyter, S3, Sagemaker
10:25 AM - 10:40 AM
Dataset & Preprocessing: EEG or Brainwave Data
10:40 AM - 10:55 AM
Build and Train ML Model (Brainwave Classification using Sagemaker)
10:55 AM - 11:10 AM
Real-Time Inference & Visualization
11:10 AM - 11:15 AM
Q&A + Wrap up + GitHub Repo Share
11:15 AM - 11:20 AM
Upskilled EdTech Platform
About this event
- Event lasts 2 hours
This workshop explores the powerful intersection of Data Science, Artificial Intelligence (AI), Neuroscience, and AWS cloud technology. Participants will gain hands-on insight into how AWS tools and services are revolutionizing data workflows—automating analysis, enhancing predictions, and scaling AI solutions. By integrating neuroscience principles, the workshop also delves into how human cognition and behavior can inspire more intuitive and impactful AI systems. Ideal for professionals and innovators, this session blends science, cloud computing, and practical AI applications to unlock the next frontier of data-driven transformation.
Frequently asked questions
AWS provides scalable infrastructure and a vast suite of services (like SageMaker, Redshift, and Glue) that automate and accelerate every stage of the data science lifecycle—from data ingestion and model training to deployment and monitoring.
Neuroscience offers insights into how the human brain processes information, learns, and makes decisions. These principles can inspire more adaptive, explainable, and human-like AI systems, particularly in fields like natural language processing, reinforcement learning, and behavioral prediction.
Examples include personalized mental health platforms using brain-signal analysis, cognitive AI assistants, predictive models for neurological conditions, and adaptive learning systems—all built and scaled using AWS infrastructure.
No. The workshop introduces foundational neuroscience concepts in an accessible way, focusing on their practical relevance to AI design, user behavior modeling, and data interpretation.
Tools like Amazon SageMaker for model training, Amazon Comprehend for language understanding, and AWS Lambda for event-driven execution are commonly used. AWS also supports brain-data integration through IoT and real-time analytics via Kinesis and QuickSight.
It would be nice to have an AWS free tier account ready, Basic Python Knowledge, a Laptop and Internet, GitHub access to download notebooks and datasets, and Jupyter or Sagemaker readiness.