C4-Difference between MLOps Level 1 and 2 not clear

Course Q&A Machine Learning Engineering for Production(MLOps) Deploying Machine Learning Models in Production
1

Hi Team,

Can someone please summarize the difference between Levels 1 and 2 of MLOps?

Thanks.

2

Hello @chetna I have a high level summary:

Level 1 - MLOps Fundamentals:

  1. Focus: Level 1 provides a foundational understanding of MLOps concepts and practices.
  2. Topics Covered: The courses at Level 1 cover fundamental concepts such as data versioning, model versioning, reproducibility, deployment, monitoring, and scaling of machine learning models.
  3. Tools and Technologies: Level 1 introduces popular tools and technologies commonly used in MLOps, such as Git for version control, Docker for containerization, and TensorFlow Extended (TFX) for building scalable ML pipelines.
  4. Hands-on Projects: Students at Level 1 gain hands-on experience by working on projects that involve building ML pipelines, deploying models, and monitoring performance.

Level 2 - Advanced MLOps:

  1. Focus: Level 2 dives deeper into advanced MLOps topics and strategies for deploying machine learning models in production.
  2. Topics Covered: The courses at Level 2 cover advanced topics such as advanced deployment strategies, A/B testing, canary deployments, continuous monitoring, automated rollbacks, and model serving architectures.
  3. Tools and Technologies: Level 2 explores more advanced tools and technologies used in MLOps, including Kubernetes for container orchestration, Istio for service mesh, and Kubeflow for building scalable ML workflows.
  4. Real-world Scenarios: Students at Level 2 work on real-world case studies and projects that simulate complex deployment scenarios, requiring them to apply their knowledge of advanced MLOps concepts and techniques.
1 Like
3

Thanks for your response, however, I think these are the differences between MLOps courses. My question is with regards to the different levels of MLOps methodology described in C4 Week 3. Could you please help me with that?