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Categories Machine Learning

CDS Video Series | Sec08. Deployment and Model Management

  • Familiarity with AI concepts and basic understanding of machine learning models will be beneficial.
  • Proficiency in Python is recommended to engage effectively with the hands-on exercises and implementation aspects of the course.
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4,596.00

What I will learn?

  • Understand the core principles and best practices involved in deploying AI models across various platforms and environments.
  • Dive into techniques and strategies for optimizing models to enhance performance, scalability, and efficiency in deployment scenarios.
  • Learn how to effectively manage model versions, track changes, and implement robust monitoring solutions to ensure model health and performance.

Course Curriculum

Deployment and Model Management: Video Lesson

  • Challenges Deploying Machine Learning Models
    32:19
  • Machine Learning Lifecycle
    48:10
  • Model Compression Before Deployment
    58:19
  • Model Deployment Cloud and Edge
    01:28:11
  • Tools for Machine Learning Tracking
    01:42:59

Deployment and Model Management: Handout Notes

Hands-on Implementation

Assessment

Testimonials

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Material Includes

  • Video Lessons
  • Handout Notes
  • Python Codes
  • MCQs

Requirements

  • Familiarity with AI concepts and basic understanding of machine learning models will be beneficial.
  • Proficiency in Python is recommended to engage effectively with the hands-on exercises and implementation aspects of the course.

Who Should Take this course?

  • Beginners in Machine Learning Operations

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