Course curriculum

  • 1

    ODSC Talks

    • Generative AI for Biomedical Insights_Solutions through OpenBIOML and BIO GPT by Bidyut Sarkar

    • Making Private Data Open and Enhancing Decision-Making through Digital Atlases by Kerrie Mengersen, PhD, Helen Thompson

    • Accelerate your AI/ML initiatives and deliver business value quickly by implementing practical and innovative approaches by Mahesh Krishnan, Peter Kilroy

    • Enabling AI Transformation: MLOps Infrastructure, AI Command Centre, and Data Science in Telecommunication by Habib Baluwala

    • Leveraging Recommender Systems for Maximizing Customer Engagement at Amex by Sonal Agarwal

    • Exploring the Generative AI Landscape: From Basics to Hands-on Applications by Raghav Bali

    • State of AI in Human Resource Functions: Unique Opportunities and Challenges by Seema Chokshi

    • Human-Friendly, Production-Ready Data Science with Metaflow by Ville Tuulos

    • Large Language Models Are Not (Necessarily) Generative Ai by Karin Verspoor, PhD

    • Leveraging Generative AI in Education by A M Aditya

    • Responsible AI In Practice by Minsoo Thigpen and Mehrnoosh Sameki, PhD

    • Applied Reinforcement Learning for Online Ads/Recommender by Kevin Noel

    • Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices by Jayachandran Ramachandran and Rohit Sroch

    • Framework and Lessons Learned from Building a Generative AI Application by Jason Tan

    • ML on-device: Building Efficient Models by Danni Li

    • Building a Data-Driven Workforce by Dominic Bohan
  • 2

    ODSC Keynotes

    • Infuse Generative AI in your Apps Using Azure OpenAI Service by Eve Psalti

    • Navigating the GENAI Frontier: Empowering Data Scientists as Ethical Innovators by Alison Cossette

    • Navigating the Post Pandemic Credit Risk Landscape with AI/ ML Innovation by Radhakrishnan G (Krish)
  • 3

    ODSC Workshops

    • Troubleshooting Retrieval-Augmented Generation by Xander Song

    • Big Data Analysis with PySpark by Bharti Motwani

    • Advanced NLP: Deep Transfer Learning for Natural Language Processing with Transformers and Large Language Models by Dipanjan (DJ) Sarkar

    • Full-Stack Machine Learning for Data Scientists by Hugo Bowne-Anderson, PhD
  • 4

    ODSC Tutorials

    • Transformers for Document Understanding by Vaishali Balaji

    • LLMs and Ontologies for Precision NERC by Kuldeep Jiwani

    • Build Classification and Regression Models with Spark on AWS by Suman Debnath

    • Building Contextual information Retrieval Systems with Large Language Models (LLMs) by Chaine San Buenaventura
  • 5

    ODSC Demo Talks

    • Ask the Experts! ML Pros Deep-Dive into Machine Learning Techniques and MLOps by Seth Juarez

    • Building Responsible AI Apps with Neo4j Knowledge Graphs and Google Generative AI by Emil Pastor

    • Unlocking Spatial Data Science in the Cloud by Giulia Carella