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Knowledge map for course MLOps Engineer

The foundation of Hyperskill — thousands of topics organized by domain and connected by prerequisites. Expand any category to find topics, check their prerequisites, and see how concepts connect to each other. Representation of a knowledge map with trees of topics
4.1810 already learning 3 days ago last updated

Bring the DevOps principles of continuous integration, continuous delivery, and continuous monitoring to the machine learning lifecycle by integrating MLOps in your pipeline. Learn essential concepts for effectively deploying and managing machine learning models in production environment.

Discover the power of the Knowledge map! Monitor your progress in real-time, grasp topic connections, and get a clear picture of your learning journey.
Computer science 0 / 213
Software development foundations 0 / 40
Programming languages 0 / 51
Python 0 / 51
System administration and DevOps 0 / 45
Data science 0 / 76
Machine learning 0 / 26
Instruments 0 / 26
NLP 0 / 24
Libraries 0 / 6
Language representation 0 / 5
Text corpora 0 / 1
Text processing 0 / 7
Text normalization 0 / 5
Text representation 0 / 2
Count-based text representations 0 / 2
NLP metrics 0 / 1
Classic NLP metrics 0 / 1
Main NLP tasks 0 / 2
Text summarization 0 / 1
Cybersecurity 0 / 1
Cybersecurity basics 0 / 1
Identity and access management 0 / 1
Math 0 / 18
Generative AI 0 / 5
  2. Computer science
  3. Data science
  4. NLP
  5. Text representation
  6. Count-based text representations
Count-based text representations