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Python Essentials for MLOps is a course designed to provide learners with the fundamental Python skills needed to succeed in an MLOps role. This course covers the basics of the Python programming language, including data types, functions, modules and testing techniques. It also covers how to work effectively with data sets and other data science tasks with Pandas and NumPy. Through a series of hands-on exercises, learners will gain practical experience working with Python in the context of an MLOps workflow. By the end of the course, learners will have the necessary skills to write Python scripts for automating common MLOps tasks. This course is ideal for anyone looking to break into the field of MLOps or for experienced MLOps professionals who want to improve their Python skills.

유연한 마감일

일정에 따라 마감일을 재설정합니다.

공유 가능한 수료증

완료 시 수료증 획득

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

중급 단계

Some experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling.

완료하는 데 약 22시간 필요

영어

배울 내용

Work with logic in Python, assigning variables and using different data structures.
Write, run and debug tests using Pytest to validate your work.
Interact with APIs and SDKs to build command-line tools and HTTP APIs to solve and automate Machine Learning problems.

귀하가 습득할 기술

Information Engineering
MLOps
Machine Learning
Python Programming
Test Automation

유연한 마감일

일정에 따라 마감일을 재설정합니다.

공유 가능한 수료증

완료 시 수료증 획득

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

중급 단계

Some experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling.

완료하는 데 약 22시간 필요

영어

강사

Noah Gift

Executive in Residence and Founder of Pragmatic AI Labs

Interdisciplinary Data Science (MIDS)

32,946명의 학습자

10개의 강좌

Alfredo Deza

Senior Content Engineer

Microsoft

13,914명의 학습자

6개의 강좌

강의 계획표 - 이 강좌에서 배울 내용

주

1

주 1

완료하는 데 5시간 필요

Introduction to Python

완료하는 데 5시간 필요

19개 동영상 (총 63분), 3 개의 읽기 자료, 1 개의 테스트

19개의 동영상

Meet your Course Instructor: Alfredo Deza1m

Lesson Introduction: Variables and Types22

Variables and Assignments5m

Working with Different Data Types7m

Conditionals and Evaluations7m

Catching and Handling Exceptions6m

Lesson Recap: Variables and Types27

Lesson Introduction: Python Data Structures33

Introduction to Lists3m

Creating and Iterating Over Lists3m

Introduction to Dictionaries3m

Creating and Iterating Over Dictionaries4m

Other Data Structures: Tuples and Sets4m

Lesson Recap: Python Data Structures35

Lesson Introduction: Adding and Extracting Data32

Adding Data to Lists3m

Extracting Data from Lists4m

Extracting Data from Dictionaries4m

Lesson Recap: Adding and Extracting Data34

3개의 읽기 자료

Meet your Supporting Instructor: Noah Gift10m

Course Structure and Discussion Etiquette10m

Minimal Python book: Storing Data10m

1개 연습문제

Python Basics30m

주

2

주 2

완료하는 데 5시간 필요

Python Functions and Classes

완료하는 데 5시간 필요

17개 동영상 (총 60분), 2 개의 읽기 자료, 1 개의 테스트

17개의 동영상

Lesson Introduction: Working with Functions37

Function Structure and Values3m

Function Arguments5m

Variable and Keyword Arguments5m

Lesson Recap: Working with Functions31

Lesson Introduction: Building Classes and Methods36

Introduction to Classes7m

Using a Constructor6m

Adding Methods4m

Class Inheritance5m

Lesson Recap: Building Classes and Methods37

Lesson Introduction: Modules and Advanced Usages38

Introduction to Python Modules3m

Working with Imports4m

Working with Python Scripts4m

Virtual Environments and Dependencies5m

Lesson Recap: Modules and Advanced Usages37

2개의 읽기 자료

Minimal Python book: Create functions10m

Python for Beginners Learning Path10m

1개 연습문제

Python Functions and Classes30m

주

3

주 3

완료하는 데 5시간 필요

Testing in Python

완료하는 데 5시간 필요

17개 동영상 (총 66분)

17개의 동영상

Lesson Introduction: Writing and Executing Tests33

Motivations for Testing in Python5m

Testing Conventions8m

Testing with pytest6m

Lesson Recap: Writing and Executing Tests43

Lesson Introduction: Writing Useful Tests39

Using Plan Asserts in pytest5m

Writing Test Classes4m

Test Classes vs. Test Functions3m

Parameterizing Tests7m

Lesson Recap: Writing Useful Tests47

Lesson Introduction: Testing Failures47

Test Failure Output5m

Python Debugging with PDB5m

Other pytest Runner Options3m

pytest Fixtures6m

Lesson Recap: Testing Failures41

1개 연습문제

Python Testing30m

주

4

주 4

완료하는 데 5시간 필요

Introduction to Pandas and NumPy

완료하는 데 5시간 필요

17개 동영상 (총 60분)

17개의 동영상

Lesson Introduction: Basic Pandas Usage31

Introduction to Pandas5m

Loading Data into Pandas5m

Writing Data from Pandas DataFrames3m

Exploratory Analysis with Pandas6m

Lesson Recap: Basic Pandas Usage46

Lesson Introduction: Working with DataFrames24

Common DataFrame Operations7m

Manipulating Text in DataFrames4m

Applying Functions with Pandas3m

Visualizing Data with Pandas4m

Lesson Recap: Working with DataFrames37

Lesson Introduction: NumPy Basics24

Introduction to NumPy Arrays5m

Common NumPy Array Operations3m

More NumPy Array Operations6m

Lesson Recap: NumPy Basics28

1개 연습문제

Pandas and NumPy30m

자주 묻는 질문

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Python Essentials for MLOps