MLOps Fundamentals - Learn MLOps Concepts with Azure demo
Learn MLOps basics of Continuous Integration, Delivery using Azure DevOps and Azure ML. Create MLOps pipeline in Azure.
4.53 (8042 reviews)
24 332
students
3 hours
content
Aug 2024
last update
$64.99
regular price
What you will learn
Basics of MLOps, benefits and its implementation.
Challenges in handling ML projects and the importance of MLOps principles in ML projects.
Standards and principles followed in MLOps culture.
What is continuous integration, continuous delivery and continuous training in MLOps space.
Various maturity levels associated with MLOps.
MLOps tools stack and various MLOps platforms comparison.
A quick crash course on Azure Machine Learning studio.
Build and run an end-to-end CI/CD MLOps pipeline using Azure DevOps & Azure Machine learning.
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Our Verdict
MLOps Fundamentals - Learn MLOps Concepts with Azure demo strikes a balance between conceptual and practical knowledge, offering learners an engaging and informative experience. While certain topics could benefit from additional hands-on exercises or detailed explanations, this course serves as an invaluable introduction to the MLOps space for those seeking clarity on its core concepts and principles.
What We Liked
- Comprehensive overview of MLOps basics including continuous integration, delivery, and training
- Well-structured and clear explanations of MLOps concepts and Azure tools stack
- Instructor provides a detailed ML pipeline demonstration with considerable depth
- Course content priced reasonably for the value and breadth of material provided
- Instructor is knowledgeable in the subject matter, offering valuable insights
Potential Drawbacks
- Some learners may find the final demo challenging due to the large number of components
- Insufficient hands-on exercises to aid with real-world implementation
- Demands a strong background understanding of ML and pipelines
- Instructor could elaborate more on Azure-specific implementations
- Occasional learner difficulties in following along with the course demonstration pace
4025834
udemy ID
04/05/2021
course created date
01/06/2021
course indexed date
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