Top 3 MLOps Architectures on Azure

Live webinar I April 13, 2023 I 10:00 AM - 11:00 AM CEST

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Do your AI and machine learning solutions have what it takes to drive enterprise value?

Dynamic enterprises now require more power and scalability in AI and machine learning solutions so they can be managed more effectively. Our webinar will help you:

Learn Azure Machine Learning fundamentals.
Know how to develop scalable and robust machine learning solutions.
Adopt MLOps best practices.
See examples of best-in-class architectures.

Agenda

Introduction - Lingaro’s MLOps as a service approach
Azure ML fundamental
Best practice implementation delivered by Lingaro MLOps framework
1. ML architectures and core components
2. Reusable pipeline patterns and CI/CD
3. Data and features management
Architecture examples
1. Distributed training for 70K+ models pattern
2. GPT-3 pattern
3. Active learning pattern
Q&A session

Meet our Experts

Wiktor Madejski

Wiktor primary focus is on Machine Learning architectures and cloud optimizations. Forging many years of experience in the forecasting, CV and NLP domains he leads ML based products and solutions delivery. Being a mathematician, computer scientist and economist, Wiktor urges to see beyond the horizon and build the best path to AI evolution.

Norbert Fijałek

Norbert is passionate about Artificial Intelligence and MLOps. He has spent more than 10 years exploring and implementing new technologies, designing and developing innovative products, and leading teams to deliver successful AI solutions across multiple industries. Norbert enjoys sharing his knowledge with others and has been a featured speaker at various conferences on AI and related topics.