- Implement robust monitoring for AI system observability.
- Design AI architectures across computing environments.
- Develop MVP prototypes using orchestration tools.
- Evaluate AI models through usability testing.
Building AI Products: Architecture and Orchestration Professional Certificate by LinkedIn Learning
via LinkedIn Learning Path
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AI orchestration is essential for building successful AI products that deliver real business value. These courses teach you how to design, develop, and deploy production-grade AI systems—from initial prototype architecture to testing, validation, and monitoring for observability. Tune in, pass the final exam, and earn your certificate.
Syllabus
Courses under this program:
Course 1: Welcome to the "Building AI Products: Architecture and Orchestration" Professional Certificate
-Discover how to coordinate among several AI products, mastering skills from system architecture to model validation, and earn a LinkedIn Professional certificate when you complete the learning path.
Course 2: AI Orchestration: Planning and Orchestrating for Observability
-Discover how to orchestrate your AI applications for production-grade observability as you implement robust monitoring, choose the right tools, and explore practical demo projects.
Course 3: AI Orchestration: Designing the Prototype Architecture and Data Strategy
-Learn about designing and implementing AI systems across different computing environments.
Course 4: AI Orchestration: Developing and Testing Your AI Prototype
-Learn how to build, test, and debug an MVP AI prototype and use orchestration tools for AI development.
Course 5: AI Orchestration: Validation and User Feedback and Performance Metrics
-Discover the essentials of model evaluation, usability testing, feedback, and performance analysis for ML and AI models.
Course 1: Welcome to the "Building AI Products: Architecture and Orchestration" Professional Certificate
-Discover how to coordinate among several AI products, mastering skills from system architecture to model validation, and earn a LinkedIn Professional certificate when you complete the learning path.
Course 2: AI Orchestration: Planning and Orchestrating for Observability
-Discover how to orchestrate your AI applications for production-grade observability as you implement robust monitoring, choose the right tools, and explore practical demo projects.
Course 3: AI Orchestration: Designing the Prototype Architecture and Data Strategy
-Learn about designing and implementing AI systems across different computing environments.
Course 4: AI Orchestration: Developing and Testing Your AI Prototype
-Learn how to build, test, and debug an MVP AI prototype and use orchestration tools for AI development.
Course 5: AI Orchestration: Validation and User Feedback and Performance Metrics
-Discover the essentials of model evaluation, usability testing, feedback, and performance analysis for ML and AI models.
Taught by
Nayan Saxena, Fikayo Adepoju Oreoluwa, Noah Gift and Janani Ravi