Chapter:Chapter:
0:00 - Highlights of this session
18:37 - What is MLOps?
33:58 - What does it take to master MLOps?
1:10:45 - MLOps Live Demo
1:18:57 - MLOps Job Industry
1:26:56 - About MLOps Specialization Course

🔥 MLOps Specialization Course

Learn to Design production-ready ML Pipelines to Build, Train and Deploy your Machine learning models on AWS, Azure, GCP & and open-source tools.

📈 Key Highlights of course
✔ 80 Hours of Live sessions from Industrial Experts
✔ 50+ Live Hands-on Labs
✔ 5+ Real-time industrial projects
✔ One-on-one debugging with Industry Mentors

👉🏻 Registration Link
https://bit.ly/mlops-training-program

🧑🏻‍🎓 What You Will Learn?
▪Introduction to ML and MLOps stages
▪Introduction to Git & CI/CD
▪Docker & Kubernetes Overview
▪Kubernetes Deployment Strategy
▪Introduction to Model Management
▪Feature Store
▪Cloud ML Services 101
▪Kubeflow Intro
▪MLOps for LLM’s (LLMOps)
▪Introduction to Model Monitoring
▪Introduction to Automl tools
▪Post-Deployment Challenges

Download Curriculum: https://bit.ly/curriculum-mlops

☎ Contact:
Sarath Kumar
+918940876397 / *+918778033930