Associate AI Engineer for Data Scientists

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

4 hr

Develop a multi-input model to classify characters from scanned documents.

2 hr

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

1 hr

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

3 hr

Use LLMs to solve diverse language tasks for a car dealership company.

2 hr

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

2 hr

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

2 hr

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

4 hr

Discover the fundamentals of Git for version control in your software and data projects.

2 hr

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

4 hr