Microsoft Azure AI Fundamentals (AI-900): Artificial Intelligence Workloads and Considerations from Pluralsight

Python – Beyond the Basics deepens and broadens your knowledge of Python, a dynamic language popular for web development, big data, science, and scripting.

builds directly on the foundations laid in our introductory Python course,

Python is a great dynamic language for:

We will dive into packages, extended call syntax, Lambdas, closures and decorators, properties and class methods, numeric and scalar types, inheritance and subtype polymorphism, introspection, and much more.

You should walk away from this intermediate Python course being familiar with the majority of Python techniques and concepts used in Python programs. You should have the tools necessary to write the best quality Python code.

Total duration of the course is almost 7.5 hours, but it should take a bit longer than that if you are following with a more hands on approach, writing and executing code as you follow along, experimenting, testing, troubleshooting, and so forth. You should take all the time you need in order to grasp the concepts being presented.

Yes. This course should be taken after you already have an understanding of Python basics, as it builds upon the fundamentals, and assumes you already have some experience with Python. If you still need to learn the basics, or just need a refresher, check out our

What's inside

Syllabus

Prerequisites

Organizing Larger Programs

Beyond Basic Functions

Closures and Decorators

Properties and Class Methods

Strings and Representations

Numeric and Scalar Types

Iterables and Iteration

Inheritance and Subtype Polymorphism

Implementing Collections

Exceptions and Errors

Defining Context Managers

Introspection

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Delves into advanced Python concepts and techniques used in industry, expanding your programming capabilities further

Taught by experienced instructors Austin Bingham and Robert Smallshire, who are recognized for their expertise in Python and software development

Covers inheritance and polymorphism, core concepts in object-oriented programming

Builds on the prerequisite introductory Python course, providing a clear progression path for learners

Requires a basic understanding of Python, so beginners may need to take the introductory course first

Focuses on hands-on practice and experimentation, promoting active learning

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Microsoft Azure AI Fundamentals (AI-900): Artificial Intelligence Workloads and Considerations with these activities:

Read 'Fluent Python'

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Read 'Fluent Python' to gain in-depth knowledge of advanced Python concepts and idioms.

View Fluent Python: Clear, Concise, and Effective... on Amazon

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Obtain a copy of 'Fluent Python'.
Read through the book, taking notes and highlighting important concepts.
Apply the concepts and techniques learned in your own Python code.

Follow a Tutorial on Python Decorators

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Follow a tutorial on Python decorators to enhance your understanding of their functionality.

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Find a well-regarded tutorial on Python decorators.
Follow the tutorial step-by-step, implementing the examples provided.
Experiment with different decorator use cases to reinforce your learning.

Solve Python Inheritance Practice Problems

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Solve Python inheritance practice problems to strengthen your understanding of inheritance concepts.

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Find online Python inheritance practice problems or create your own.
Attempt to solve the problems on your own.
Check your solutions against provided answers or consult online resources for guidance.

Three other activities

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Write a Summary of Python Closures

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Write a summary of Python closures to better understand their behavior and applications.

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Review the concept of closures and their syntax in Python.
Create examples of Python closures and explain their behavior.
Summarize the benefits and use cases of closures in Python.

Implement a Custom Python Exception

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Implement a custom exception to handle specific errors in your Python code.

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Identify a specific error or condition you want to handle.
Create a new Python exception class that inherits from the Exception class.
Define the error message and any additional attributes for your custom exception.
Raise your custom exception when the specified error or condition occurs.

Contribute to an Open-Source Python Project

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Make a contribution to an open-source Python project to gain practical experience and deepen your understanding.

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Identify an open-source Python project that aligns with your interests.
Review the project's documentation and contribution guidelines.
Identify a specific issue or feature you can contribute to.
Create a pull request with your proposed changes.
Respond to feedback and iterate on your contribution until accepted.

Career center

Learners who complete Microsoft Azure AI Fundamentals (AI-900): Artificial Intelligence Workloads and Considerations will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models to solve business problems. They work with a variety of data sources and technologies to create models that can learn from data and make predictions. This course can help someone seeking to become a Machine Learning Engineer by providing a strong foundation in Python. The course covers topics such as machine learning algorithms, data preprocessing, and model evaluation, which are essential skills for Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers design and implement data pipelines to process and store data. They work with a variety of data sources and technologies to create pipelines that can handle large volumes of data. This course can help someone seeking to become a Data Engineer by providing a valuable foundation in Python. The course covers topics such as data warehousing, data integration, and data quality, which are essential skills for Data Engineers.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use data to solve business problems and make predictions. They work with a variety of data sources and technologies to extract meaningful insights from data. This course can help someone seeking to become a Data Scientist by providing a valuable foundation in Python. The course covers topics such as data mining, machine learning, and statistical modeling, which are essential skills for Data Scientists.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst gathers, transforms, and analyzes data to extract meaningful insights and trends. Data Analysts may work in various industries, including finance, healthcare, and retail. This course can help someone seeking to become a Data Analyst by providing a valuable foundation in Python. The course covers topics such as data manipulation, statistical analysis, and data visualization, which are essential skills for Data Analysts.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course can be useful for someone seeking to become a Software Engineer by providing a strong foundation in Python. The course covers topics such as data structures, algorithms, and object-oriented programming, which are essential skills for Software Engineers.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts gather and analyze data to help businesses make better decisions. They work with a variety of stakeholders to identify business problems and develop solutions. This course can be useful for someone seeking to become a Business Analyst by providing a valuable foundation in Python. The course covers topics such as data analysis, process improvement, and business modeling, which are essential skills for Business Analysts.

See salaries and explore the career path for Business Analyst

Database Administrator

Database Administrators manage and maintain databases. They work with a variety of database technologies to ensure that databases are running smoothly and efficiently. This course can be useful for someone seeking to become a Database Administrator by providing a valuable foundation in Python. The course covers topics such as database design, database optimization, and data security, which are essential skills for Database Administrators.

See salaries and explore the career path for Database Administrator

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. They work with a variety of data sources and technologies to create models that can predict financial trends. This course can be useful for someone seeking to become a Quantitative Analyst by providing a strong foundation in Python. The course covers topics such as financial data analysis, statistical modeling, and risk management, which are essential skills for Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Mobile Developer

Mobile Developers design and develop mobile applications. They work with a variety of programming languages and technologies to create applications that run on mobile devices. This course can be useful for someone seeking to become a Mobile Developer by providing a valuable foundation in Python. The course covers topics such as mobile application development, user experience, and mobile operating systems, which are essential skills for Mobile Developers.

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IT Consultant

IT Consultants provide advice and guidance to businesses on how to use technology to improve their operations. They work with a variety of clients to help them identify technology needs, develop IT strategies, and implement technology solutions. This course can be useful for someone seeking to become an IT Consultant by providing a valuable foundation in Python. The course covers topics such as IT strategy, project management, and business analysis, which are essential skills for IT Consultants.

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Web Developer

Web Developers design and develop websites. They work with a variety of programming languages and technologies to create websites that are both functional and visually appealing. This course can be useful for someone seeking to become a Web Developer by providing a valuable foundation in Python. The course covers topics such as web design, web development, and user experience, which are essential skills for Web Developers.

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Product Manager

Product Managers define and manage the development of products. They work with a variety of stakeholders to gather requirements, develop roadmaps, and launch products. This course can be useful for someone seeking to become a Product Manager by providing a valuable foundation in Python. The course covers topics such as product development, user research, and market analysis, which are essential skills for Product Managers.

See salaries and explore the career path for Product Manager

Game Developer

Game Developers design and develop video games. They work with a variety of programming languages and technologies to create games that are both fun and engaging. This course can be useful for someone seeking to become a Game Developer by providing a valuable foundation in Python. The course covers topics such as game design, game development, and artificial intelligence, which are essential skills for Game Developers.

See salaries and explore the career path for Game Developer

Security Analyst

Security Analysts monitor and analyze security data to identify threats and vulnerabilities. They work with a variety of security technologies to protect networks and systems from cyberattacks. This course can be useful for someone seeking to become a Security Analyst by providing a valuable foundation in Python. The course covers topics such as network security, cryptography, and malware analysis, which are essential skills for Security Analysts.

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Project Manager

Project Managers plan and execute projects. They work with a variety of stakeholders to define project scope, develop project plans, and track project progress. This course can be useful for someone seeking to become a Project Manager by providing a valuable foundation in Python. The course covers topics such as project planning, risk management, and stakeholder management, which are essential skills for Project Managers.

See salaries and explore the career path for Project Manager