Courses

Gain an updated understanding of AI trends and refresh your Python skills, enabling you to utilize key libraries for AI development.  

Acquire expertise in data handling with Pandas and Numpy, and apply machine learning techniques for data preparation. 

Develop the ability to clean data, engineer features, and construct machine learning models using sklearn effectively. 

Learn comprehensive data annotation tools and methodologies, ensuring high-quality data for AI models. 

Design engaging visuals with Plotly and develop interactive web applications using Streamlit. 

Understand how to initiate and manage AI projects, orchestrate data, and deploy machine learning models using Dataiku’s visual interface and MLOps practices.