Integrating AI into the Product Architecture
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 15m | 254 MB
Instructor: Jigyasa Grover
This course equips developers, machine learning engineers, and AI engineers with the essential knowledge and practical skills to seamlessly integrate AI models into product architectures. Explore effective collaboration techniques with data science teams, best practices for comprehensive model testing and validation, and proven architectural patterns for scaling and deploying AI-powered applications. The course also covers crucial UX/UI considerations to build trustworthy, interpretable, and ethical AI-infused products.
Learning objectives
- Learn to apply robust testing methodologies to ensure model performance, robustness, and fairness.
- Build scalable and maintainable AI integration patterns tailored to product requirements.
- Implement comprehensive monitoring and observability for AI models in production.
- Incorporate principles of explainable AI, uncertainty handling, and ethical AI practices into the user experience.
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