AI Agents and MLOps for Production-Ready AI
Completed by Rajae Yamoul
April 4, 2026
5 hours (approximately)
Rajae Yamoul's account is verified. Coursera certifies their successful completion of AI Agents and MLOps for Production-Ready AI
What you will learn
Learn to implement AI agents using frameworks like AutoGen, IBM Bee, LangGraph, and AutoGPT.
Gain hands-on experience with MLOps concepts such as versioning, automation, and monitoring.
Build and deploy end-to-end machine learning pipelines using Docker and Kubernetes.
Understand the infrastructure requirements for MLOps and deploy models on cloud platforms like AWS, GCP, and Azure.
Skills you will gain
- Category: Kubernetes
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: BeeAI
- Category: AI Workflows
- Category: Model Deployment
- Category: Containerization
- Category: CrewAI
- Category: Google Cloud Platform
- Category: Scalability
- Category: LangGraph
- Category: Devops Tools
