Master Python for MLOps: Complete 2024 Fundamentals Guide
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3:07:52
01 - Introduction to Python.mp4
01:46
01 - Lesson introduction Working with variables and types.mp4
00:15
02 - Variables and assignments.mp4
05:29
03 - Working with different data types.mp4
07:30
04 - Conditionals and evaluations.mp4
07:19
05 - Catching and handling exceptions.mp4
05:56
06 - Lesson recap Variables and types.mp4
01:00
01 - Lesson introduction Python data structures.mp4
00:59
02 - Introduction to lists.mp4
03:00
03 - Creating and iterating over lists.mp4
03:20
04 - Introduction to dictionaries.mp4
03:03
05 - Creating and iterating over dictionaries.mp4
04:16
06 - Other data structures Tuples and sets.mp4
04:46
07 - Lesson recap Python data structures.mp4
00:48
01 - Lesson introduction Adding and extracting data.mp4
00:45
02 - Adding data to lists.mp4
03:32
03 - Extracting data from lists.mp4
04:02
04 - Extracting data from dictionaries.mp4
04:04
05 - Lesson recap Adding and extracting data.mp4
01:00
01 - Lesson introduction Working with functions.mp4
01:01
02 - Function structure and values.mp4
03:33
03 - Function arguments.mp4
05:02
04 - Variable and keyword arguments.mp4
04:56
05 - Lesson recap Working with functions.mp4
00:27
01 - Lesson introduction Building classes and methods.mp4
00:40
02 - Introduction to classes.mp4
07:45
03 - Using a constructor.mp4
06:05
04 - Adding methods.mp4
04:47
05 - Class inheritance.mp4
05:10
06 - Lesson recap Building classes and methods.mp4
01:00
01 - Lesson introduction Modules and advanced usages.mp4
00:44
02 - Introduction to Python modules.mp4
03:19
03 - Working with imports.mp4
04:10
04 - Working with Python scripts.mp4
04:51
05 - Virtual environments and dependencies.mp4
05:19
06 - Lesson recap Modules and advanced usages.mp4
00:54
01 - Lesson introduction Writing and executing tests.mp4
00:52
02 - Motivations for testing in Python.mp4
05:25
03 - Testing conventions.mp4
07:55
04 - Testing with pytest.mp4
06:20
05 - Lesson recap Writing and executing tests.mp4
00:48
01 - Lesson introduction Writing useful tests.mp4
00:58
02 - Using plan asserts in pytest.mp4
05:03
03 - Writing test classes.mp4
04:52
04 - Test classes vs. test functions.mp4
03:40
05 - Parameterizing tests.mp4
07:11
06 - Lesson recap Writing useful tests.mp4
00:37
01 - Lesson introduction Testing failures.mp4
00:45
02 - Test failure output.mp4
05:03
03 - Python debugging with PDB.mp4
05:29
04 - Other pytest runner options.mp4
03:38
05 - pytest fixtures.mp4
06:02
06 - Lesson recap Testing failures.mp4
00:41
More details
Course Overview
This comprehensive course teaches essential Python programming skills specifically tailored for Machine Learning Operations (MLOps). Through hands-on exercises, you'll master data manipulation, testing techniques, and building machine learning APIs to excel in MLOps roles.
What You'll Learn
- Python fundamentals including data types, structures, and functions
- Data manipulation with pandas and NumPy for machine learning
- Building and testing machine learning APIs
Who This Is For
- Aspiring MLOps engineers needing Python foundations
- Data scientists transitioning to operational roles
- DevOps professionals expanding into machine learning
Key Benefits
- Hands-on exercises with real-world MLOps applications
- Comprehensive coverage from basics to advanced topics
- Industry-relevant skills for immediate workplace impact
Curriculum Highlights
- Python Data Structures and Variables
- Functions, Classes and Advanced Python Usage
- Testing and Debugging for MLOps
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Category
- language english
- Training sessions 53
- duration 3:07:52
- English subtitles has
- Release Date 2025/06/07
