Deploying, Evaluating, and Scaling Production AI Systems

About this course

This course provides a deep dive into deploying, evaluating, and scaling production-ready AI systems, focusing on LangChain and LangGraph. You’ll gain hands-on experience in implementing, benchmarking, and mitigating risks to ensure robust AI solutions in enterprise environments. Learners will develop practical skills in evaluating AI systems, covering observability, cost management, and performance optimization. The course emphasizes production readiness and equips you to scale AI applications for real-world tasks while addressing emerging AI trends. What makes this course unique is its focus on enterprise-level deployment, with expert guidance on maintaining AI systems and preparing them for future advancements in generative AI. Ideal for AI developers and engineers, this course requires experience with AI systems and a foundational knowledge of software development. Learners will benefit from practical, real-world scenarios. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Course objectives

• develop practical skills in AI system deployment
• understand and mitigate risks in AI solutions
• gain insights into emerging AI trends