Top MLOps Architectures based on AzureML

Duration: 60 minutes Host: Wiktor Hawrylik, AI and ML Senior Engineer, DS & AI Competency Center
Norbert Fijałek, AI Engineering Team Leader, Lingaro Data Science and AI Practice This session is offered as a scheduled group session with our expert.

Ask for available time slots

What To Expect

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 (ML) fundamentals, know how to develop scalable and robust machine learning solutions, adopt MLOps best practices and see examples of best-in-class architectures.

Introduction to Azure Machine Learning (ML)

Challenges and Benefits of Azure ML

Lingaro Azure ML Framework

Real-Life Examples and Use Cases

Familiarize yourself with the Azure ML ecosystem and how it helps developers build, deploy, and manage ML models.

Understand the pros and cons of using Azure ML as well as the benefits, use cases, and challenges of adopting machine learning operations (MLOps).

Let our AI and ML experts help your data scientists and developers rapidly and effectively move ML models into production.

Take a look at some of the best-in-class examples of using Azure ML and deploying different patterns of machine learning models.

Introduction to Azure Machine Learning (ML)

Challenges and Benefits of Azure ML

Familiarize yourself with the Azure ML ecosystem and how it helps developers build, deploy, and manage ML models.

Understand the pros and cons of using Azure ML as well as the benefits, use cases, and challenges of adopting machine learning operations (MLOps).

Lingaro Azure ML Framework

Real-Life Examples and Use Cases

Let our AI and ML experts help your data scientists and developers rapidly and effectively move ML models into production.

Take a look at some of the best-in-class examples of using Azure ML and deploying different patterns of machine learning models.

Introduction to Azure Machine Learning (ML)

Familiarize yourself with the Azure ML ecosystem and how it helps developers build, deploy, and manage ML models.

Challenges and Benefits of Azure ML

Understand the pros and cons of using Azure ML as well as the benefits, use cases, and challenges of adopting machine learning operations (MLOps).

Lingaro Azure ML Framework

Let our AI and ML experts help your data scientists and developers rapidly and effectively move ML models into production.

Real-Life Examples and Use Cases

Take a look at some of the best-in-class examples of using Azure ML and deploying different patterns of machine learning models.

About our speaker

Wiktor Hawrylik not only excels at complex Data Science and DevOps, but he also applies detailed algorithmic approaches to solving problems, handling performance-intensive and time-critical tasks and transforming regulatory requirements into functioning code. He matches his expertise with an unwavering dedication to solving tasks, which gave him a reputation for always leading teams to successful machine learning solutions deliveries.

About our speaker

Norbert Fijałek is passionate about AI and machine learning operations. 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. He also participates in successful accelerators and competitions.

Ask for available time slots

Fill in and submit this form to signify your interest. Within two days of registering, a representative will reach out to you to discuss your team’s knowledge needs and provide available time slots for you to choose from.

Top MLOps Architectures based on AzureML

What To Expect

Introduction to Azure Machine Learning (ML)

Challenges and Benefits of Azure ML

Lingaro Azure ML Framework

Real-Life Examples and Use Cases

Introduction to Azure Machine Learning (ML)

Challenges and Benefits of Azure ML

Lingaro Azure ML Framework

Real-Life Examples and Use Cases

Introduction to Azure Machine Learning (ML)

Challenges and Benefits of Azure ML

Lingaro Azure ML Framework

Real-Life Examples and Use Cases

About our speaker

About our speaker

Ask for available time slots

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Using Machine Learning to Forecast Business Performance

Many-Model Machine Learning for Enterprises