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Open AI Sora's biggest rival is here:
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https://www.instagram.com/reel/C76aLdsN6AM/?igsh=MTRwZDM5d2ZoZWI2bg==
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The quality is insane
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https://www.instagram.com/reel/C8J_U-ttLoT/?igsh=MXF0cTA4cDhlNGtudQ==
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π MLOps Market to reach US$4 Billion in 2025
Unleash MLOps Mastery - FREE Training on AWS, Azure, GCP & Open-source!
Navigating the Landscape of MLOps & LLMOps
π Unlock ML deployment secrets on top clouds & open source.
π‘ Dive into data management insights.
π οΈ Harness the latest MLOps tools.
π₯ Real-time expert interaction.
π₯ Limited spots! Enroll now:
https://bit.ly/mlops-free-class
π Share with ML enthusiasts! #MLOps #AI #TechTraining
Unleash MLOps Mastery - FREE Training on AWS, Azure, GCP & Open-source!
Navigating the Landscape of MLOps & LLMOps
π Unlock ML deployment secrets on top clouds & open source.
π‘ Dive into data management insights.
π οΈ Harness the latest MLOps tools.
π₯ Real-time expert interaction.
π₯ Limited spots! Enroll now:
https://bit.ly/mlops-free-class
π Share with ML enthusiasts! #MLOps #AI #TechTraining
π₯2β€1π1π€1
β οΈ FREE Training MLOps and LLMOps
Navigating the Landscape of MLOps & LLMOps: Learn to deploy your ML and Gen Ai Models
ππ» Registration Link
https://bit.ly/mlops-webinar
π§π»βπ What You Will Learn?
1. Introduction to ML and MLOps stages
2. Introduction to Git & CI/CD
3. Docker & Kubernetes Overview
4. Kubernetes Deployment Strategy
5. Introduction to Model Management
6. MLOps for LLMβs (LLMOps)
7. Feature Store
8. Cloud ML Services 101
9. Kubeflow Intro
10. Introduction to Model Monitoring
11. Introduction to Automl tools
12. Post-Deployment Challenges
Navigating the Landscape of MLOps & LLMOps: Learn to deploy your ML and Gen Ai Models
ππ» Registration Link
https://bit.ly/mlops-webinar
π§π»βπ What You Will Learn?
1. Introduction to ML and MLOps stages
2. Introduction to Git & CI/CD
3. Docker & Kubernetes Overview
4. Kubernetes Deployment Strategy
5. Introduction to Model Management
6. MLOps for LLMβs (LLMOps)
7. Feature Store
8. Cloud ML Services 101
9. Kubeflow Intro
10. Introduction to Model Monitoring
11. Introduction to Automl tools
12. Post-Deployment Challenges
π19π€£1