Begin building AI solutions and gain the career-building skills you need to succeed as an AI Engineer, from model development to deployment into production!
In this track, you’ll train and evaluate robust predictive models on real-world datasets across a variety of domains.
Starting with the fundamentals of machine learning, you’ll get hands-on with some of the most popular Python libraries for machine learning and deep learning, including scikit-learn, PyTorch, and many more.
As you progress, you’ll get hands-on with Large Language Models (LLMs) for a variety of natural language tasks. You'll learn to fine-tune Llama 3 on custom data and integrate this into a LangChain application to begin surfacing predictions to end-users.
Finally, you'll discover what it takes to move an AI model from a notebook into production. You'll build foundational skills in MLOps, including testing and version control for production.
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