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Mastering MLOps; A Hands-on Guide to Machine Learning Operations and Self-Assessment

Mastering MLOps; A Hands-on Guide to Machine Learning Operations and Self-Assessment

$199.00
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Mastering MLOps: A Hands-on Guide to Machine Learning Operations and Self-Assessment



Course Overview

This comprehensive course is designed to equip you with the knowledge and skills needed to master Machine Learning Operations (MLOps) and implement it in your organization. With a focus on hands-on learning and self-assessment, you'll gain a deep understanding of the concepts, tools, and techniques required to streamline your machine learning workflows.



Course Objectives

  • Understand the fundamentals of MLOps and its importance in machine learning
  • Learn how to design and implement efficient MLOps pipelines
  • Gain hands-on experience with popular MLOps tools and technologies
  • Develop skills in data preparation, model training, and model deployment
  • Learn how to monitor and maintain machine learning models in production
  • Understand how to apply MLOps in real-world scenarios


Course Outline

Module 1: Introduction to MLOps

  • What is MLOps?
  • Benefits of MLOps
  • MLOps vs. DevOps
  • Key components of MLOps

Module 2: Data Preparation

  • Data ingestion and processing
  • Data quality and validation
  • Data transformation and feature engineering
  • Data storage and management

Module 3: Model Training

  • Model selection and hyperparameter tuning
  • Model training and evaluation
  • Model optimization and regularization
  • Model interpretability and explainability

Module 4: Model Deployment

  • Model serving and deployment
  • Model monitoring and logging
  • Model updating and maintenance
  • Model scaling and performance optimization

Module 5: MLOps Tools and Technologies

  • TensorFlow and TensorFlow Extended (TFX)
  • PyTorch and PyTorch Lightning
  • Scikit-learn and Scikit-learn Pipelines
  • Kubernetes and containerization
  • Apache Airflow and workflow management

Module 6: MLOps in Practice

  • Case studies and real-world examples
  • MLOps in computer vision and natural language processing
  • MLOps in recommendation systems and time series forecasting
  • MLOps in healthcare and finance

Module 7: Self-Assessment and Project

  • Self-assessment and project planning
  • Project implementation and execution
  • Project evaluation and feedback
  • Final project presentation and review


Course Features

  • Interactive and engaging: Hands-on exercises, quizzes, and projects to keep you engaged and motivated
  • Comprehensive and up-to-date: Covers the latest MLOps tools and technologies
  • Personalized and flexible: Self-paced learning with lifetime access to course materials
  • Practical and real-world applications: Case studies and examples from various industries
  • High-quality content and expert instructors: Taught by experienced professionals in the field
  • Certification and recognition: Receive a certificate upon completion, issued by The Art of Service
  • Community-driven and supportive: Join a community of learners and professionals in the field
  • Actionable insights and hands-on projects: Apply your knowledge and skills to real-world projects
  • Bite-sized lessons and progress tracking: Track your progress and stay motivated with bite-sized lessons
  • Gamification and friendly competition: Engage in friendly competition and gamification to stay motivated
  • Mobile-accessible and user-friendly: Access course materials on-the-go with our mobile-friendly platform


Certificate and Recognition

Upon completion of the course, you will receive a certificate issued by The Art of Service, recognizing your mastery of MLOps and your ability to apply it in real-world scenarios.

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