GenAI for Data Analytics

Credible Online Resources for GenAI Education in MBA Business Analytics

Academic Platforms and Institutions

1. Coursera: Offers specialized courses on AI, machine learning, and GenAI, with courses from institutions like Stanford, DeepLearning.AI, and the University of Michigan.

   • Notable Course: AI for Everyone by Andrew Ng

2. edX: Provides AI-related courses often in partnership with top universities, including AI ethics and applications of GenAI in business.

   • Recommended: Artificial Intelligence by Columbia University

3. MIT OpenCourseWare: Free AI and machine learning courses from one of the top tech institutions.

   • Notable Resource: 6.S191: Introduction to Deep Learning

4. Google AI Blog: Provides cutting-edge insights into Google’s latest research and innovations in AI, including GenAI.

   • Google AI Blog

Industry-Specific Platforms

1. IBM SkillBuild: Offers free courses on AI fundamentals, machine learning, and responsible AI.

   • IBM SkillBuild

   • Get your digital credentials and post them on LinkedIn

2. Microsoft Learn: Provides practical tutorials on AI, machine learning, and GenAI using Azure.

   • Notable Path: Azure AI Fundamentals

3. Amazon Web Services (AWS) Training: Training modules focused on AI/ML, including Generative AI applications.

   • AWS AI/ML Training

4. OpenAI Learning Center: Explore the fundamentals and ethical usage of GPT models, including ChatGPT.

   • OpenAI Resources

Research and Academic Papers

1. arXiv: A preprint repository with cutting-edge research in AI, including GenAI. Search for relevant papers on business analytics and AI ethics.

   • arXiv AI Papers

2. Google Scholar: A robust search engine for academic research on AI and machine learning.

   • Google Scholar

3. ACM Digital Library: Comprehensive library of computer science research, including leading papers on AI, ML, and data science.

   • ACM Digital Library

Online Communities and Forums

1. Reddit: Subreddits like r/machinelearning and r/generativeAI offer discussions, research, and case studies.

   • r/machinelearning

   • r/generativeAI

2. Kaggle: Participate in data science challenges, many of which focus on AI and machine learning. Kaggle also hosts datasets relevant for GenAI applications.

   • Kaggle

AI Ethics and Responsible Use

1. Partnership on AI: Focuses on ensuring AI is developed responsibly and benefits society as a whole.

   • Partnership on AI

2. OpenAI Ethics: OpenAI provides clear guidelines for the responsible and safe use of AI technologies.

   • OpenAI Ethics Guidelines

3. AI Now Institute: Dedicated to understanding the social impact of AI and promoting the ethical development of AI technologies.

   • AI Now Institute

4. Ethics of AI by the Future of Life Institute: Provides resources and information on ensuring AI is safe and beneficial.

   • Ethics of AI

AI in Business Analytics

1. Deloitte AI Institute: Publishes research and insights on AI in business, including the use of GenAI in analytics.

   • Deloitte AI Institute

2. McKinsey & Company - AI in Business: Offers research and case studies on applying AI in business strategy and analytics.

   • McKinsey AI

Last update: Nov 24, 2024