Critical intersection of DevOps and MLOps

In our upcoming webinar, Learn AI with Anand (LAA) is honored to host Mr.M.Thirumurugan, a distinguished Technical Lead Architect, to share insights into the critical intersection of DevOps and MLOps. A Trailblazer in Data Science and Engineering armed with extensive experience in MS Azure, he navigates the cloud landscape with finesse, bringing scalability and efficiency to data solutions. Leveraging a wealth of experience, he is a highly skilled data engineer, proficient in designing and developing cutting-edge data warehouses that form the backbone of modern data ecosystems.

Date & Time: March 9th, 3:00 PM to 4:30 PM IST

Agenda:

1. MLOps Overview:Understanding the significance and impact of MLOps in modern business processes.Unveiling the journey from manual processes to automated end-to-end operations.
2. Data Flow Diagram:Visualizing the data flow that drives MLOps excellence.Identifying key components and integration points.
3. Machine Learning Operations (MLOps) - End-to-End Processes:Delving into the intricacies of MLOps levels, from manual processes to CI/CD pipeline automation.Exploring the evolution and challenges at each level.
4. DevOps versus MLOps:Drawing distinctions between DevOps and MLOps.Recognizing the specialized requirements of MLOps in data-driven environments.
5. MLOps Levels 0-2: Automation and Beyond:Unveiling the characteristics and challenges at each MLOps level.Detailing the components, data and model validation, feature store, metadata management, and triggers.
6. MLOps with Data bricks:Analyzing the role of Data bricks in MLOps.Understanding the synergy between Data bricks and MLOps processes.
7. MLOps using TensorFlow Extended, Vertex AI Pipelines:Exploring MLOps possibilities with TensorFlow Extended and Vertex AI Pipelines.Real-world applications and benefits.