AI Orchestration: Planning and Orchestrating for Observability

Designed for developers, data scientists, and AI operators, this course will equip you with the knowledge to create transparent and efficient AI systems. Full-stack developer Fikayo Adepoju introduces you to essential concepts of AI observability, including developing a strategy for implementation and learning to use the right tools for various AI applications. Build your hands-on understanding with practical demo projects. Learn key tasks like setting up monitoring for AI models, analyzing workflows, optimizing retrieval components, and managing infrastructure health. By understanding the inner workings of AI models and their interactions, you’ll significantly reduce the chances of bugs, biases, and performance bottlenecks. This course teaches you the skills you need to ensure your LLM-powered applications are well-monitored, high-performing entities.