MLOps Full Course | Machine Learning Operations | MLOps Training | AWS, Azure, GCP MLOps

MLOps Full Course | Machine Learning Operations | MLOps Training | AWS, Azure, GCP MLOps

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MLOps Full Course | Machine Learning Operations | MLOps Training | AWS, Azure, GCP MLOps
Chapter:Chapter: 0:00 - Highlights of this session 19:39 - What is MLOps? 37:30 - What does it take to master MLOps? 1:15:26 - MLOps Live Demo 1:21:48 - MLOps Job Industry 1:25:00 - 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 & Open- Source tools. 📈 Key Highlights of course ✔ 70 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-specialization-sep23 🧑🏻‍🎓 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" ▪Introduction to Model Monitoring ▪Introduction to Automl tools ▪Post-Deployment Challenges Download Curriculum: https://bit.ly/mlops-curriculum-sep23 ☎ Contact: Sarath Kumar +918940876397 / *+918778033930 0:00 - Highlights of this session 17:42 - What is MLOps? 34:00 - What it takes to master MLOps? 1:09:56 - MLOps Live Demo 1:16:27 - MLOps Job Industry 1:22:32 - 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 & Open- Source tools. 📈 Key Highlights of course ✔ 70 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-specialization-sep23 🧑🏻‍🎓 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" ▪Introduction to Model Monitoring ▪Introduction to Automl tools ▪Post-Deployment Challenges Download Curriculum: https://bit.ly/mlops-curriculum-sep23 ☎ Contact: Sarath Kumar +918940876397 / *+918778033930