Udemy - MLflow for MLOps and LLMOps - Master MLflow with Databricks

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size3 GB
  • Uploaded Byfreecoursewb
  • Downloads47
  • Last checkedApr. 19th '26
  • Date uploadedApr. 18th '26
  • Seeders 23
  • Leechers10

Infohash : 043AA780A23D896696FE2F8EE2C5899835B4CB2B

MLflow for MLOps & LLMOps: Master MLflow with Databricks

https://WebToolTip.com

Published 4/2026
Created by Rahul Jha
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 29 Lectures ( 6h 28m ) | Size: 3 GB

Learn MLflow for experiment tracking, model registry, model deployment, prompt management, and Databricks AI Functions

What you'll learn
✓ Understand how MLflow works internally and how it fits into real MLOps workflows for experiment tracking, model lifecycle management, and deployment.
✓ Track machine learning experiments using MLflow by logging parameters, metrics, artifacts, and runs in a structured and reproducible way.
✓ Build and manage ML models using MLflow Model Registry including versioning, lineage tracking, and production model management.
✓ Deploy ML models as REST APIs using MLflow’s built-in model serving capabilities for real-time inference.
✓ Implement LLMOps workflows using MLflow including prompt registry, prompt versioning, evaluation, and prompt management.
✓ Integrate MLflow with Databricks to manage machine learning experiments and production ML pipelines.
✓ Use Databricks AI Functions to perform tasks like sentiment analysis, classification, text extraction, and schema extraction using SQL.
✓ Build an end-to-end ML workflow including experiment tracking, model logging, model registry, and deployment.

Requirements
● Basic understanding of Python programming
● Familiarity with machine learning concepts such as models, datasets, and training
● A computer capable of running Python and Jupyter / VS Code
● A free Databricks account (we will show how to set it up)
● Curiosity to understand how real MLOps and LLMOps systems work in production

Files:

[ WebToolTip.com ] Udemy - MLflow for MLOps and LLMOps - Master MLflow with Databricks
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1. Introduction.mp4 (18.6 MB)
    2 - Mlops using mlflow
    • 10. Serving models using mlflow and real time endpoints.mp4 (55.4 MB)
    • 2. Why mlflow exists.mp4 (88.3 MB)
    • 3. Mlflow setup from scratch.mp4 (49.0 MB)
    • 4. Experiments and Runs.mp4 (58.9 MB)
    • 5. Backend store and Artifact store.mp4 (73.5 MB)
    • 6. Things we can log using mlflow.mp4 (144.3 MB)
    • 7. Manual and Auto logging in MLFLOW.mp4 (67.3 MB)
    • 8. Nested Runs in MLFLOW.mp4 (41.5 MB)
    • 9. MLFLOW Model Registry.mp4 (55.6 MB)
    3 - LLMOps using mlflow
    • 11. Prompt registry in mlflow.mp4 (93.1 MB)
    • 12. Loading prompts from registry.mp4 (61.7 MB)
    • 13. Prompt Evaluation (Part-1).mp4 (94.1 MB)
    • 14. Prompt Evaluation (Part -2 ).mp4 (113.5 MB)
    • 15. Custom Scorers in Prompt Evaluation.mp4 (68.8 MB)
    • 16. AI Gateway in MLFLOW.mp4 (119.0 MB)
    • 17. Observability and Monitoring of GenAI applications using mlflow.mp4 (138.2 MB)
    • 18. Prompt Evaluation Project.mp4 (364.0 MB)
    4 - Databricks - Mlflow
    • 19. Mlflow on Databricks.mp4 (524.2 MB)
    • 20. Deploy huggingface model on Databricks.mp4 (367.8 MB)
    5 - Databricks AI functions
    • 21. Intro.mp4 (11.5 MB)
    • 22. Data Ingestion.mp4 (58.5 MB)
    • 23. AI Sentiment Classification.mp4 (47.8 MB)
    • 24. AI classification.mp4 (43.1 MB)
    • 25. AI Extraction.mp4 (52.9 MB)
    • 26. AI Fix Grammar.mp4 (22.1 MB)
    • 27. Generic AI Query Function.mp4 (105.0 MB)
    • 28. Structured Schema Extraction using AI Query.mp4 (28.3 MB)
    • 29. End to End Project - Creating Databricks Batch Job for Sentiment Prediction.mp4 (100.4 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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