Python for AI & Development Project from edX

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In this mini-course you will demonstrate what you’ve learned in the Python Basics* course and apply your Python skills to a real-world project for your final assignment. You will be introduced to unit testing and will develop the skills needed to create functions and unit tests, run the unit tests, and package the files in a standard Python Package.

Hands-on labs provide practical application of the project work you’ll be performing in the Peer-graded Final Assignment.

At the end of this project, you will have the skills to test your Python code, build and run unit tests, and package the Python application for distribution.

PRE-REQUISITE: *Python Basics course from IBM is a pre-requisite for this project course. Please ensure before taking this course you have either completed the Python Basics course from IBM or have equivalent proficiency in working with Python and data.

NOTE: This course is designed for the learner to apply prior Python knowledge. It is not intended to teach you Python and includes minimal instructional content.

What's inside

Learning objectives

Demonstrate python basic skills for developing ai powered applications.
Describe the purpose of unit testing and packaging.
Test your python code.

Create a python package.
After completing this course, you will be able to:
Expand your practical experience using ibm watson apis.

Demonstrate python basic skills for developing ai powered applications.
Describe the purpose of unit testing and packaging.
Test your python code.
Create a python package.
After completing this course, you will be able to:
Expand your practical experience using ibm watson apis.

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Offers hands-on labs that provide practical experience of the project work

Covers the fundamentals of unit testing and packaging in Python

Provides an opportunity to expand practical experience using IBM Watson APIs

Assumes prior knowledge of Python and is not suitable for beginners

Reviews summary

Practical python for ai & testing

According to students, this is a highly practical course designed to help learners apply existing Python skills to real-world development and AI projects. Many highlight the course's strong focus on unit testing and packaging Python applications as invaluable for professional development. The hands-on labs and challenging final project are frequently praised for solidifying understanding. However, learners repeatedly stress that the course is not for beginners and requires a solid grasp of Python fundamentals, as instructional content is minimal. The peer-grading system is occasionally mentioned as inconsistent. Overall, it's considered excellent for consolidating skills but a poor fit for those without prerequisites.

Teaches essential software engineering practices like testing and package creation.

"The focus on unit testing and packaging was invaluable, and the hands-on project solidified my understanding."

"Testing and packaging are often overlooked in other basic courses, so this was a great addition. Perfect for developers."

"The concepts of unit testing and packaging are presented clearly. The unit testing module was particularly strong and practical."

Course excels in providing hands-on experience through real-world projects.

"This course was exactly what I needed to bridge the gap between basic Python and real-world application development. The hands-on project solidified my understanding."

"Excellent course for consolidating Python skills into a practical project. The labs were well-designed and the final project allowed for significant application of what I learned."

"Incredibly practical and to the point. If you know Python, this course sharpens your skills in crucial areas like testing and creating deployable packages. The project is well-structured and guides you effectively."

Feedback quality in the peer-graded project can vary significantly.

"The peer-graded project was a bit hit-or-miss depending on your grader, but the exercise of building and testing a package was very useful."

"My main critique is that the peer-grading system can sometimes be inconsistent, which made the final project feedback less reliable than I'd hoped."

"Peer grading can be a weak point, but the overall learning experience is positive."

The course provides minimal direct teaching, focusing instead on application.

"I struggled a bit... I felt the instructional content was indeed minimal. It was hard to follow at times without constantly referring to external resources."

"The instructional videos are very brief, almost like a quick overview rather than a lesson. I had to rely heavily on the labs and external documentation to get through it."

"This course is good for reinforcing skills, but not for initial learning of new concepts."

Course is project-based, requiring strong foundational Python knowledge; not for beginners.

"It really does assume you know Python basics, so don't come in expecting lessons."

"Came into this thinking it would teach me more Python, but it barely does any teaching. It's all about applying what you already know."

"This course is terrible for someone trying to learn Python basics. It gives zero guidance and expects you to be an expert already."

"The project was too advanced for me, and I ended up dropping out. This course is not for beginners."

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 Python for AI & Development Project with these activities:

Develop a Python application that solves a real-world problem

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Apply your Python skills to a real-world scenario by creating a practical application.

Browse courses on Problem Solving

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Identify a real-world problem that can be solved using Python.
Brainstorm a solution and design the application architecture.
Implement the application using Python.
Test the application thoroughly.
Deploy the application to a cloud platform or other hosting environment.

Discuss Python unit testing and packaging with peers

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Engage with other learners to share knowledge and insights about unit testing and packaging in Python.

Browse courses on Unit Testing

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Join a study group or online forum for Python learners.
Initiate or participate in discussions about unit testing and packaging.
Share your experiences and learn from others.

Solve Python coding challenges

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Practice your Python coding skills by solving a variety of challenges online.

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Find a website or platform that offers Python coding challenges.
Choose a challenge that is appropriate for your skill level.
Solve the challenge and test your solution.
Review your solution and identify areas for improvement.

Four other activities

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Complete Python tutorials on unit testing and packaging

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Supplement your understanding of unit testing and packaging by following tutorials from reputable sources.

Browse courses on Unit Testing

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Identify reputable websites or platforms that offer Python tutorials.
Search for tutorials on unit testing and packaging.
Follow the tutorials and complete the exercises.
Review your work and identify areas for further exploration.

Attend a workshop on Python unit testing and packaging

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Supplement your online learning with an immersive workshop led by industry experts.

Browse courses on Unit Testing

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Research and identify reputable workshops on Python unit testing and packaging.
Register for a workshop that aligns with your schedule and learning goals.
Attend the workshop and actively participate in the activities.

Develop a small Python project that demonstrates unit testing and packaging

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Apply your knowledge of unit testing and packaging by creating a practical Python project.

Browse courses on Unit Testing

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Brainstorm a simple Python project idea that involves unit testing and packaging.
Design the project architecture and write the code.
Write unit tests for your code to ensure its correctness.
Package your project into a distributable format, such as a Python package.

Contribute to an open-source project related to unit testing or packaging

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Gain practical experience in unit testing and packaging by contributing to open-source projects.

Browse courses on Unit Testing

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Identify an open-source project on GitHub or another platform that uses Python and involves unit testing and packaging.
Review the project's documentation and code.
Identify areas where you can contribute, such as adding unit tests or improving packaging.
Create a pull request with your contributions.

Career center

Learners who complete Python for AI & Development Project will develop knowledge and skills that may be useful to these careers:

Full-Stack Developer

Full Stack Developers are responsible for both the front-end and back-end of software applications. This course can help you develop the necessary skills in Python and AI to work on both the front-end and back-end of AI-powered applications.

See salaries and explore the career path for Full-Stack Developer

Machine Learning Engineer

Machine Learning Engineers apply machine learning techniques to solve real-world problems. This course provides a solid foundation in Python, which is widely used in machine learning, and introduces AI concepts to help you succeed in this field.

See salaries and explore the career path for Machine Learning Engineer

AI Engineer

AI Engineers design, develop, and implement AI solutions. This course provides a solid foundation in Python and introduces AI techniques, which are essential for success in this role.

See salaries and explore the career path for AI Engineer

Data Scientist

Data Scientists use their knowledge of AI and Python programming to extract insights from large datasets. This course can help build a foundation in Python and AI techniques, which are essential for success in this role.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design and build software systems. Having a strong foundation in Python and an understanding of AI techniques is highly valued in this role, as these skills can help you develop innovative and efficient software solutions. This course can help you gain the necessary skills to excel as a Software Engineer.

See salaries and explore the career path for Software Engineer

Software Developer

Software Developers design, build, and maintain software applications. This course can help you build a foundation in Python, which is widely used in software development, and introduces AI concepts to help you develop innovative software solutions.

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Cloud Architect

Cloud Architects design and manage cloud computing systems. Having a strong foundation in Python and an understanding of AI techniques can help you develop and implement AI-powered cloud solutions.

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Data Analyst

Data Analysts use data to make informed decisions. Having a strong foundation in Python and an understanding of AI techniques can help you analyze data more efficiently and effectively, making you a valuable asset in this role.

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Business Analyst

Business Analysts use data to identify business problems and opportunities. Having a strong foundation in Python and an understanding of AI techniques can help you analyze data more efficiently and effectively, making you a valuable asset in this role.

See salaries and explore the career path for Business Analyst

IT Consultant

IT Consultants provide advice and support to organizations on the use of technology. Having a strong foundation in Python and an understanding of AI techniques can help you provide expert advice on the implementation of AI solutions.

See salaries and explore the career path for IT Consultant

Cybersecurity Analyst

Cybersecurity Analysts protect computer systems and networks from security breaches. Having a strong foundation in Python and an understanding of AI techniques can help you develop and implement effective cybersecurity solutions.

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Technical Writer

Technical Writers create documentation for software and other technical products. Having a strong foundation in Python and an understanding of AI techniques can help you write clear and concise documentation for AI-powered applications.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help you build a foundation in Python, which is widely used in quantitative finance, and introduces AI concepts to help you develop more sophisticated models.

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Product Manager

Product Managers are responsible for the development and launch of new products. Having a strong foundation in Python and an understanding of AI techniques can help you develop innovative products that meet the needs of the market.

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Project Manager

Project Managers plan, execute, and close projects. Having a strong foundation in Python and an understanding of AI techniques can help you manage projects more efficiently and effectively, especially in the development of AI-powered solutions.

See salaries and explore the career path for Project Manager