Skip to content

VinayaSharada/KateelLearningDemosToStudents

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

247 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

KateelLearningDemosToStudents

Browser-based AI, machine learning, finance, risk, cybersecurity, and analytics demos for students, faculty, and practitioners. This repository powers the public GitHub Pages site and also includes broader course materials, assignments, and supporting assets for local or Colab-based learning where needed.

GitHub Pages Curated demos Course packs Assignment packs

Created by Professor Vinaya Sathyanarayana
GitHub: @VinayaSharada
Contact: vinallcontact@gmail.com

Start Here

What This Repository Contains

  • Browser-based educational demos that run fully in the browser with no API keys or external services.
  • Course packs that organize demos into teachable sequences with learning objectives and supporting context.
  • About pages and launch pages that separate concept framing from hands-on interaction.
  • Assignment scaffolds that convert demos into graded analysis, reflection, or mini-project work.
  • Additional local and Colab-oriented materials where browser-only execution is not yet the right fit.

Featured Public Paths

Surface Best for Link
Home Overall orientation to the platform Open
Browse Demos Finding classroom-ready demos by topic, level, and run mode Open
Course Packs Teaching journeys for treasury, AI/ML, risk, quant, cyber, compliance, RAG/NLP, and banking Open
Assignments Structured assessment and reflection scaffolds Open

Major Topics Covered

  • AI and machine learning workflows
  • Treasury management and liquidity analytics
  • Banking, fraud, lending, and customer analytics
  • Quant finance, options, VaR, and portfolio analysis
  • Cybersecurity and risk management
  • RAG, NLP, voice interfaces, and knowledge assistants
  • AI governance, compliance, and responsible AI

Demo Run Modes

  • Browser: runs directly in GitHub Pages or static hosting
  • Colab: best when notebook execution or larger packages are needed
  • Local: best when students need Python, local files, or heavier models
  • Multi-mode: available in more than one learning mode depending on classroom goals

The public Pages experience prioritizes polished browser-first demos. The repo itself may contain broader supporting assets, experiments, local variants, and work-in-progress materials that are still valuable for teaching.

Repository Structure

KateelLearningDemosToStudents/
├── DomainUseCaseDemos/
├── TechUseCaseDemos/
├── CyberSecurityDemos/
├── CourseCatalogs/
├── Assignments/
├── courses/
├── browse/
└── assets/

Why Educators Use It

  • No cloud dependency for the core curated experience
  • No API keys for the public browser-first demos
  • Strong separation between explanation and interaction
  • Classroom-ready flows for demo, reflection, and assignment work
  • Reusable examples across finance, AI, analytics, and governance courses

Attribution

Please retain attribution in course materials, workshops, and derivative teaching artifacts.

Demos and course materials adapted from KateelLearningDemosToStudents by Professor Vinaya Sathyanarayana.
Repository: VinayaSharada/KateelLearningDemosToStudents

Suggested GitHub Metadata

These are the remaining manual SEO improvements worth setting directly in GitHub repository settings:

  • Repository description: Browser-based AI, finance, risk, and analytics demos for students, faculty, and classroom teaching
  • Website: https://vinayasharada.github.io/KateelLearningDemosToStudents/
  • Topics: education, ai-demos, machine-learning, finance, treasury, banking, risk-management, cybersecurity, rag, nlp, github-pages, classroom