practical skills and tangible tools to accelerate your career immediately

Deploy ML Models from Lab to Production

Hosted by

Akshika Wijesundara

Sat, Aug 17, 2024

4:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

What you'll learn

Automating the Path to Production

Discover how CI/CD pipelines streamline model building, testing, and deployment, ensuring rapid iteration.

Orchestrate ML pipelines for agility

Streamline model development and deployment by building robust CI/CD pipelines specific to machine learning needs.

Power your ML models with feature stores

Learn how feature stores centralize ML features, ensuring consistency and accelerating model development.

Why this topic matters

MLOps isn't just about fancy models - it's about getting them working for real! Learn how to deploy, maintain, and collaborate on ML projects, making you a highly-demand expert who can turn machine learning into real-world impact.

You'll learn from

Akshika Wijesundara

ML lead at MainStreet Partners | Ex-ML Engineer at MIT-IDC | ML PhD

Akshika is a leader in AI innovation for financial services where he heads Machine Learning at MainStreet Partners. In addition, he also serves as an advisor and CTO at Tilli Kids. Akshika holds a Ph.D. in Machine Learning and completed his postdoctoral research at King's College London. He is an alum of the Oxford ML summer school and a recipient of the UK global talent visa for his exceptional talent in the field of machine learning. Akshika brings a wealth of experience from both academia and industry, with expertise in financial services, Large Language Models, ML-Ops, Explainable AI, privacy, and HCI.

Previous Affiliations

MIT research group
SUTD Singapore

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