On Demand Workshop


Scaling Machine Learning Workflows with Apache Spark

Master Distributed Machine Learning at Your Pace: On-Demand Apache Spark Workshop

Gain valuable insights into distributed machine learning with our on-demand workshop, Scaling Machine Learning Workflows with Apache Spark. This session is tailored for those eager to understand the fundamentals of scaling ML models using Apache Spark—no prior experience required. Enjoy flexible, self-paced learning while building practical skills through hands-on demonstrations and expert guidance.


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Date

On-Demand

Location

Online

Language

English

Speakers

1

Key Topics Covered

Understanding Distributed Machine Learning Paradigms

Techniques for scaling ML workflows with Apache Spark

Practical Considerations and Best Practices


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Who Should Watch Distributed ML Workshop:

This session is designed for:

  • Beginners interested in distributed machine learning techniques
  • Professionals seeking to scale their machine learning workflows using Apache Spark
  • Data scientists and engineers looking for practical solutions to real-world ML scaling challenges

About the trainer

Nitin Bhushan

Nitin Bhushan, a seasoned data scientist with extensive experience in AI, data science, and engineering projects, leads this workshop. With a strong background in developing applied AI programs and a passion for data-driven innovation, Nitin offers practical insights to help you succeed.


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Don’t miss this opportunity to enhance your skills in distributed machine learning and learn how to effectively scale your ML workflows with Apache Spark.

Feel free to contact us. We’re happy to help!