ML Production Best Practices: Hands-on Workshop & Certification
Master ML Production Skills with Wallaroo.AI
Bridging the ML Production Gap
90% of AI projects don’t achieve their intended ROI. One major stumbling block is AI team silos and lack of understanding of the full process and lack of understanding of what technical elements are needed to overcome challenges in scaling ML.
Wallaroo.AI created a single-day workshop that can be your AI team’s roadmap to success, giving them a strong understanding of the best practices in scaling ML and a detailed understanding of the state of the art of ML production platforms today.
At no cost.
Why? Wallaroo.AI offers a free community edition and now offers this workshop because we know most enterprises are still scoping out the challenges they need to address to go into production at scale. And there are few sources of information that brings all these elements together.
Who is this For?
Our meticulously designed agenda has been tested to ensure it equips the entire AI team with the technical know-how and hands-on experience with real tools to overcome ML production challenges. The robust curriculum also teaches team members how to create a seamless transition of ML projects into real-life applications.
Data scientists, ML engineers, DevOps/MLOps engineers, and team leaders will walk away with valuable insights on mapping best practices, implementing the necessary tools, and understanding the most efficient AI team structures for their unique needs.
Best of all, each workshop session is tailored to the needs of the specific team participating. We’ve even had non-technical members of a business successfully complete the workshop, allowing them to use the information on how ML production scales into the core business of the company.
What’s on the Agenda?
In this deep-dive workshop, attendees will:
- Get a step-by-step guide on how models move from ideation to inference then how to scale, monitor, test, and optimize
- Try hands-on exercises, leveraging tried-and-tested approaches.
- Delve into the intricacies of delivering genuine business value through ML projects.
- Boost model performance and navigate the common pitfalls of production.
- Learn from those who’ve bridged the gap between theory and practice.
- Learn how to ensure a smooth transition of ML projects to real-world applications.
- Deep dive into ML workflows for optimized model performance.
- Navigate common production challenges with ease.
- Earn an ML production best practices workshop badge to proudly display on platforms like LinkedIn.
Meet Your Workshop Leader
“Most organizations hit a wall when transitioning from ML theory to real-world applications. We’re here to ensure you don’t. Learn from the best, gain hands-on experience, and understand what it truly takes to extract business value from ML projects.” Martin Bold, Senior Manager, Community at Wallaroo.AI.
Your data. Your tools. Your ecosystem.
No need to replace your data platform or change the popular tools your data scientists use to build models.