Discover how to implement AI in real-world scenarios with the AI in Practice Bootcamp. The boot camp consists of five chapters, each containing three or four video lectures, and concludes with a Capstone project. Every video lecture is accompanied by a notebook featuring exercises. By participating in the videos and completing the exercises in the notebooks, you will gain a solid understanding of how to apply AI to real-world datasets.
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Learn About:
- The basics of setting up AI experiments and training pipelines
- Developer skills needed to deploy AI solutions and APIs
- How to explore and analyze a real dataset and what to look out for (EDA)
- Identifying and avoiding biases
- Utilizing state-of-the-art AI without being an expert (zero-shot and transfer learning)
- How to approach AI projects with a sustainable mindset
