このコースについて

11,156 最近の表示

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.

柔軟性のある期限

スケジュールに従って期限をリセットします。

共有できる証明書

修了時に証明書を取得

100%オンライン

自分のスケジュールですぐに学習を始めてください。

中級レベル

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

約22時間で修了

英語

学習内容

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.

習得するスキル

Information Engineering
MLOps
Machine Learning
Python Programming
Test Automation

柔軟性のある期限

スケジュールに従って期限をリセットします。

共有できる証明書

修了時に証明書を取得

100%オンライン

自分のスケジュールですぐに学習を始めてください。

中級レベル

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

約22時間で修了

英語

講師

Noah Gift

Executive in Residence and Founder of Pragmatic AI Labs

Interdisciplinary Data Science (MIDS)

受講者33,154 名

10 コース

Alfredo Deza

Senior Content Engineer

Microsoft

受講者14,061 名

6 コース

シラバス - 本コースの学習内容

週

1

週 1

5時間で修了

Introduction to Python

5時間で修了

19件のビデオ（合計63分）, 3 学習用教材, 1 個のテスト

19件のビデオ

Meet your Course Instructor: Alfredo Deza1 分

Lesson Introduction: Variables and Types22

Variables and Assignments5 分

Working with Different Data Types7 分

Conditionals and Evaluations7 分

Catching and Handling Exceptions6 分

Lesson Recap: Variables and Types27

Lesson Introduction: Python Data Structures33

Introduction to Lists3 分

Creating and Iterating Over Lists3 分

Introduction to Dictionaries3 分

Creating and Iterating Over Dictionaries4 分

Other Data Structures: Tuples and Sets4 分

Lesson Recap: Python Data Structures35

Lesson Introduction: Adding and Extracting Data32

Adding Data to Lists3 分

Extracting Data from Lists4 分

Extracting Data from Dictionaries4 分

Lesson Recap: Adding and Extracting Data34

3件の学習用教材

Meet your Supporting Instructor: Noah Gift10 分

Course Structure and Discussion Etiquette10 分

Minimal Python book: Storing Data10 分

1の練習問題

Python Basics30 分

週

2

週 2

5時間で修了

Python Functions and Classes

5時間で修了

17件のビデオ（合計60分）, 2 学習用教材, 1 個のテスト

17件のビデオ

Lesson Introduction: Working with Functions37

Function Structure and Values3 分

Function Arguments5 分

Variable and Keyword Arguments5 分

Lesson Recap: Working with Functions31

Lesson Introduction: Building Classes and Methods36

Introduction to Classes7 分

Using a Constructor6 分

Adding Methods4 分

Class Inheritance5 分

Lesson Recap: Building Classes and Methods37

Lesson Introduction: Modules and Advanced Usages38

Introduction to Python Modules3 分

Working with Imports4 分

Working with Python Scripts4 分

Virtual Environments and Dependencies5 分

Lesson Recap: Modules and Advanced Usages37

2件の学習用教材

Minimal Python book: Create functions10 分

Python for Beginners Learning Path10 分

1の練習問題

Python Functions and Classes30 分

週

3

週 3

5時間で修了

Testing in Python

5時間で修了

17件のビデオ（合計66分）

17件のビデオ

Lesson Introduction: Writing and Executing Tests33

Motivations for Testing in Python5 分

Testing Conventions8 分

Testing with pytest6 分

Lesson Recap: Writing and Executing Tests43

Lesson Introduction: Writing Useful Tests39

Using Plan Asserts in pytest5 分

Writing Test Classes4 分

Test Classes vs. Test Functions3 分

Parameterizing Tests7 分

Lesson Recap: Writing Useful Tests47

Lesson Introduction: Testing Failures47

Test Failure Output5 分

Python Debugging with PDB5 分

Other pytest Runner Options3 分

pytest Fixtures6 分

Lesson Recap: Testing Failures41

1の練習問題

Python Testing30 分

週

4

週 4

5時間で修了

Introduction to Pandas and NumPy

5時間で修了

17件のビデオ（合計60分）

17件のビデオ

Lesson Introduction: Basic Pandas Usage31

Introduction to Pandas5 分

Loading Data into Pandas5 分

Writing Data from Pandas DataFrames3 分

Exploratory Analysis with Pandas6 分

Lesson Recap: Basic Pandas Usage46

Lesson Introduction: Working with DataFrames24

Common DataFrame Operations7 分

Manipulating Text in DataFrames4 分

Applying Functions with Pandas3 分

Visualizing Data with Pandas4 分

Lesson Recap: Working with DataFrames37

Lesson Introduction: NumPy Basics24

Introduction to NumPy Arrays5 分

Common NumPy Array Operations3 分

More NumPy Array Operations6 分

Lesson Recap: NumPy Basics28

1の練習問題

Pandas and NumPy30 分

よくある質問

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.

さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。

Python Essentials for MLOps