Building AI Products: Architecture and Orchestration Professional Certificate by LinkedIn Learning

Übersicht

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.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.

Lehrplan

• Introduction to AI Orchestration
Understanding the Importance of AI Orchestration
Key Components of AI Product Development
Overview of the Course Structure
• Designing AI Architectures
Principles of AI System Architecture
Designing for Scalability and Flexibility
Architecture Patterns for AI Systems
• Building MVP Prototypes
Introduction to AI Orchestration Tools
Prototyping Techniques for AI Products
Hands-on Workshop: Developing a Simple AI Prototype
• Developing Production-Grade AI Systems
Transitioning from Prototype to Production
Technical Considerations in AI Deployment
Ensuring Performance and Efficiency in AI Systems
• Testing and Validation of AI Models
Usability Testing for AI Products
Model Validation Techniques
Best Practices in AI Testing
• Monitoring and Observability of AI Systems
Implementing Robust Monitoring Strategies
Tools for AI System Observability
Case Studies: Effective Monitoring in AI Applications
• Real-World Applications and Case Studies
Examples of Successful AI Products
Lessons Learned from AI Implementations
• Final Exam and Certification
Preparation for the Final Exam
Certification Requirements and Assessment
• Conclusion and Next Steps
Future Trends in AI Product Development
Continuing Your AI Learning Journey

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Unterrichtet von

Nayan Saxena, Fikayo Adepoju Oreoluwa, Noah Gift and Janani Ravi

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Fachgebiete

Computer Science