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- Refactor a typical data science notebook into a well-structured Kedro project, explore its core features and workflow and software engineering best practices.
- Talks about AI in action: From ML models to games
- Optimize AI prompts to reduce verbosity and carbon footprint with ScaleDown
- A recap of the Amsterdam PyLadies' workshops of the last year, presented at the Dutch Cloud Native Day 2025.
pytest-aug2019
Publicdapr-in-action-may2025
Publicworkshoptopic-mmmYYYY
Public template- AI in Finance - Python interactive lecture for students studying Finance
- First steps to refactor Jupyter notebooks with ease
- 6 week-long Python hands-on MLOps Bootcamp following a real-life industry scenario.
- Learn how to handle model drift and perform test-based model monitoring
- Create an evaluation framework for your LLM based app. Incorporate it into your test suite. Lay the monitoring foundation.
- Learn how to ingest data with dlt (data load tool) from a REST API and load it into DuckDB
bdd-with-python-mar2025
Public- Azure AI workshops
- An introduction to Azure functions in Python.
talktopic-mmmYYYY
Public template- Learn how elements of storytelling can be applied to data visualization, and how to effectively tell the story in your data.
- Building a model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability is key.
- Get valuable tips and insights on how to build your own Data Science Portfolio to stand out in a competitive market!
llm-guardrails-jul2024
PublicDive into the world of LLM Guardrails using tools like NVIDIA’s NeMo Guardrails. Discover the mechanisms that ensure applications produce reliable, robust, safe, and ethical outputs, and understand their crucial role in LLMsvizualisation-sep2019
PublicUse Matplotlib and Seaborn to explore data.