About the Course
This project-based course allows students to apply AI concepts and techniques in real-world scenarios by working on end-to-end AI solutions. Students will learn how to define project goals, prepare data, train models, implement retrieval-augmented generation (RAG), deploy their solutions, and present their work in a professional setting.
- Define and scope AI projects in alignment with real-world problems.
- Apply data preparation techniques to project-specific datasets.
- Train, validate, and fine-tune models, including large language models (LLMs).
- Implement retrieval-augmented generation (RAG) to enhance AI models.
- Deploy and monitor AI models in real-world applications.
- Present AI project results effectively in a professional setting.