Chapter:
0:00 - MLOps Live
09:51 - Highlights of this session
32:30 - What is MLOps?
47:26 - What does it take to master MLOps?
1:31:53 - MLOps Live Demo
1:45:10 - MLOps Job Industry
1:53:54 - About MLOps Specialization Course
About 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
✔ 90 Hours of Live sessions from Industrial Experts
✔ 50+ Live Hands-on Labs
✔ 28 Real-time industrial projects
✔ One-on-one debugging with Industry Mentors
👉🏻 Registration Link
https://mlops.psitrontech.com/
🧑🏻🎓 What You Will Learn?
Module 1-MLOps Introduction
Module 2-Overview of ML and MLOps Stages
Module 3-Git Essentials for MLOps Practitioners
Module 4-CI/CD Strategies for AWS, Azure, GCP, and GitHub Actions
Module 5-Docker and Kubernetes Overview
Module 6-Kubernetes Deployment Strategy
Module 7-High-level Overview of Model Management Tools
Module 8-Feature Store
Module 9-Deep Dive into MLOps Cloud Services (AWS, Azure & GCP)
Module 10-Kubeflow Stack and ML Pipeline Development
Module 11-MLOps for LLM’s (LLMOps) & Gen AI
Module 12-Understanding Model Monitoring (AWS, Azure & GCP)
Module 13-Introduction to automl tools
Module 14-Post-Deployment Challenges
Module 15-(Self-paced) Other Open-Source/Cloud tools for MLOps [Hands-on]
Download Curriculum: https://bit.ly/curriculum-mlops
☎ Contact:
Sarath Kumar
+918940876397 / *+918778033930