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Overview
The Building AI course focuses on the practical skills required to create artificial intelligence solutions from concept to deployment. It guides learners through the complete AI development lifecycle, starting with problem definition and data collection, followed by data preprocessing, feature engineering, and model selection. Core machine learning and deep learning concepts are explained in a hands-on, application-driven manner. Participants learn how to train, evaluate, and optimize models for accuracy, performance, and reliability, while understanding trade-offs between complexity and efficiency. The...
Syllabus
- Chapter 1 Getting started with AI
- Chapter 2 Dealing with uncertainty
- Chapter 3 Machine learning
- Chapter 4 Neural networks
- Chapter 5 Conclusion
Instructor
Elementsofai
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