מה צריך לדעת לפני
שתתחיל

מתחיל 4 June 2026 06:43

נגמר 4 June 2026

00 ימים
00 שעות
00 דקות
00 שניות
course image

Integrate and Optimize AI Services Seamlessly

Master production-ready AI system integration using gRPC, protobuf, APIs, and Prometheus metrics for reliable deployment and monitoring in distributed environments.
Coursera via Coursera

Coursera

2865 קורסים


1 hour 55 minutes

שדרוג אופציונלי זמין

Not Specified

התקדמות בקצב שלך

Paid Course

שדרוג אופציונלי זמין

סקירה כללית

"Integrate and Optimize AI Services Seamlessly" is an applied, intermediate-level course designed for engineers and ML practitioners who want to build reliable, production-ready AI systems. Across focused, hands-on lessons, the course explores how real-world services communicate using APIs, message queues, and structured serialization formats.

Learners gain practical experience integrating prediction services with gRPC and protobuf, improving consistency, performance, and cross-language compatibility. The course also guides participants through deployment health essentials, including interpreting Prometheus metrics, spotting early warning signs during canary releases, and making safe decisions to stabilize or roll back new versions.

Through real scenarios, interactive activities, and expert-led demos, students develop the confidence to ship AI services that are fast, resilient, and operationally sound in modern distributed environments.

סילבוס

  • Integrate and Optimize AI Services Seamlessly
  • Integrate and Optimize AI Services Seamlessly" is an applied, intermediate-level course designed for engineers and ML practitioners who want to build reliable, production-ready AI systems. Across focused, hands-on lessons, the course explores how real-world services communicate using APIs, message queues, and structured serialization formats. Learners gain practical experience integrating prediction services with gRPC and protobuf, improving consistency, performance, and cross-language compatibility. The course also guides participants through deployment health essentials, including interpreting Prometheus metrics, spotting early warning signs during canary releases, and making safe decisions to stabilize or roll back new versions. Through real scenarios, interactive activities, and expert-led demos, students develop the confidence to ship AI services that are fast, resilient, and operationally sound in modern distributed environments.

נלמד על ידי

ansrsource instructors


נושאים

Programming