Past Workshops and Activities Skip to search and filter Image 3:30 – 4:30 p.m., Feb. 11, 2025 AI Makerspace Meetup Join us while we sit down to code and discuss how to build AI applications with U of A DataLab scientists. Image 2 – 3 p.m., Feb. 11, 2025 Functional Open Science Skills for AI/ML Applications This workshop series provides students with developing skills and learning tools required in today's AI/ML-focused science. Image 2 – 3 p.m., Feb. 11, 2025 Learning to Work in the Cloud: JetStream2 and Reproducibility In this session, learn JetStream2 to address the need of GPUs and required compute as well as addressing reproducibility. Image 1 – 2 p.m., Feb. 11, 2025 Introduction to Classical Machine Learning Covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python. Image 1 – 2 p.m., Feb. 11, 2025 Supervised Learning: Classification Image 2 – 3 p.m., Feb. 6, 2025 Bioinformatics & Genomics: From Data Analysis to AI Applications Acquire hands-on experience with industry-standard command-line tools (CLI) for DNA and RNA sequencing analysis and more. Image 2 – 3 p.m., Feb. 6, 2025 A Beginner's Guide to RNA-seq with DESeq2 Identify genes exhibiting significant expression changes between different biological conditions. Run a functional differential expression analyses pipeline. 1 – 2 p.m., Feb. 6, 2025 Using AI Verde Learn practical prompt engineering techniques to optimize U of A Generative AI Verde's performance for academic and professional applications. Image Noon – 1 p.m., Feb. 6, 2025 Regular Expressions for NLP An intro to the basics of building regular expressions, with a focus on creating and applying patterns to extract, clean, and transform text data effectively. Image Noon – 1 p.m., Feb. 6, 2025 Natural Language Processing for All Explore the fundamental concepts behind NLP: From understanding how computers interpret human language to discovering how to improve search queries. 1 – 2 p.m., Feb. 5, 2025 Introduction to Python for Data Science Python is a premier language in data science, excelling in mathematics, statistics, machine learning, data visualization, and scientific computing. Image 3:30 – 4:30 p.m., Feb. 4, 2025 AI Makerspace Meetup Join us while we sit down to code and discuss how to build AI applications with U of A DataLab scientists. Pagination « First First page ‹ Previous Previous page … 3 4 5 6 7 8 9 10 11 … Next › Next page Last » Last page
Image 3:30 – 4:30 p.m., Feb. 11, 2025 AI Makerspace Meetup Join us while we sit down to code and discuss how to build AI applications with U of A DataLab scientists.
Image 2 – 3 p.m., Feb. 11, 2025 Functional Open Science Skills for AI/ML Applications This workshop series provides students with developing skills and learning tools required in today's AI/ML-focused science.
Image 2 – 3 p.m., Feb. 11, 2025 Learning to Work in the Cloud: JetStream2 and Reproducibility In this session, learn JetStream2 to address the need of GPUs and required compute as well as addressing reproducibility.
Image 1 – 2 p.m., Feb. 11, 2025 Introduction to Classical Machine Learning Covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python.
Image 2 – 3 p.m., Feb. 6, 2025 Bioinformatics & Genomics: From Data Analysis to AI Applications Acquire hands-on experience with industry-standard command-line tools (CLI) for DNA and RNA sequencing analysis and more.
Image 2 – 3 p.m., Feb. 6, 2025 A Beginner's Guide to RNA-seq with DESeq2 Identify genes exhibiting significant expression changes between different biological conditions. Run a functional differential expression analyses pipeline.
1 – 2 p.m., Feb. 6, 2025 Using AI Verde Learn practical prompt engineering techniques to optimize U of A Generative AI Verde's performance for academic and professional applications.
Image Noon – 1 p.m., Feb. 6, 2025 Regular Expressions for NLP An intro to the basics of building regular expressions, with a focus on creating and applying patterns to extract, clean, and transform text data effectively.
Image Noon – 1 p.m., Feb. 6, 2025 Natural Language Processing for All Explore the fundamental concepts behind NLP: From understanding how computers interpret human language to discovering how to improve search queries.
1 – 2 p.m., Feb. 5, 2025 Introduction to Python for Data Science Python is a premier language in data science, excelling in mathematics, statistics, machine learning, data visualization, and scientific computing.
Image 3:30 – 4:30 p.m., Feb. 4, 2025 AI Makerspace Meetup Join us while we sit down to code and discuss how to build AI applications with U of A DataLab scientists.
