Developing AI Applications with Python and Flask from Coursera

This mini course is intended to apply basic Python skills for developing Artificial Intelligence (AI) enabled applications. In this hands-on project you will assume the role of a developer and perform tasks including:

- Develop functions and application logic

- Exchange data using Watson AI libraries

- Write unit tests, and

- Package the application for distribution.

You will demonstrate your foundational Python skills by employing different techniques to develop web applications and AI powered solutions. After completing this course, you will have added another project to your portfolio and gained the confidence to begin developing AI enabled applications using Python and Flask, Watson AI libraries, build and run unit tests, and package the application for distribution out in the real world.

What's inside

Syllabus

Python Coding Practices and Packaging Concepts

In this module, you will start with the basic difference between web applications and APIs. Next, you will learn about the application development lifecycle, from gathering requirements to maintaining the project. You will also get familiar with the best practices for coding as documented in the Python Enhancement Proposal (PEP8) style guide. You will learn about static code analysis, which is used to ensure that the code you write adheres to the coding rules. Next, you will learn how to create and run unit tests. Finally, you will learn how to create, verify, and run Python packages.

Web App Deployment using Flask

In this module, you will be introduced to the definitions of and key differences between Python libraries and frameworks for application development. You will also learn about Flask, a Python-based micro framework used for web deployment of applications. The module will also introduce development and deployment concepts, including routes, request and response objects, error handling, and decorators. After building an API with Flask, you will also learn to deploy web apps using Flask.

Creating AI Application and Deploy using Flask

In this module, you will be introduced to Embeddable Watson AI libraries. You will also have the opportunity to build two AI-based apps. The practice project will provide you with a challenge to apply your programming skills and incorporate the IBM Watson libraries to build a text-based Sentiment Analysis tool. You will be provided guidance through each step of the project. The final project, Emotion Detection based on the text input, will help you get your skills and proficiency assessed by your peers. For both projects, you will perform unit testing, static code analysis, and incorporate error handling.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

May fit for learners with a general interest in Python who want to use it for AI development

May fit for learners who need hands-on practice with tasks common in AI development

May fit for learners who would like to get experience with Watson AI libraries

May fit for learners with a basic understanding of Python who are comfortable with writing code

May fit for learners with a basic knowledge of AI concepts

May fit for learners who want to apply their Python skills to build AI solutions

Reviews summary

Progressive python web development

Learners say this course offers engaging assignments and challenging but rewarding projects, delving into Python and Flask for web development with IBM Watson services integration. Despite some technical issues and unclear instructions in the final project, students find the overall experience largely positive and recommend it for those with interest in Python, AI, and web development.

Challenging but Rewarding

"This was actually a fun course, despite the labs being down from a long maintenance, which is why I took a star off."

Practical AI and Web Dev Skills

"The course seems promising and relevant for individuals looking to develop web applications with Python, Flask, and AI integration."

Engaging, Thought-Provoking

"The knowledge is intensive, the process is clear, and it's easy to get a complete understanding of how to create an app after completing the entire project."

Many Labs and Real-World Projects

"I really enjoyed the hands-on nature of the course. Lots of projects and practice doing stuff."

Unclear Instructions and Bugs

"The course was pretty short and didn't really live up to the name of AI & Application Development."

"The final demo project is messy since the instruction is neither aligned with previous instructions nor aligned with the final assignment when screenshots are requested to submit."

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 Developing AI Applications with Python and Flask with these activities:

Review Basic AI Concepts

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Familiarize yourself with core AI principles and concepts to better understand the course content.

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Review introductory AI materials, such as books, articles, or online courses.
Focus on understanding the concepts of machine learning, natural language processing, and computer vision.
Complete practice exercises or quizzes to test your understanding.

Build a Simple Python Calculator

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Practice writing Python code by building a simple calculator project.

Browse courses on Python Basics

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Design the calculator's functionality and user interface.
Implement the calculator's basic operations using Python.
Test and debug the calculator to ensure it works correctly.

Follow Flask Web Development Tutorials

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Enhance your web development skills by following online tutorials on Flask.

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Find reputable online tutorials on Flask.
Follow the tutorials thoroughly, completing any code exercises.
Build a simple Flask web application as a practice project.

Two other activities

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Show all five activities

Participate in Python Code Challenges

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Sharpen your Python problem-solving abilities by participating in online code challenges.

Browse courses on Competitive Programming

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Find reputable online code challenge platforms.
Practice solving problems in various difficulty levels.
Participate in code challenges and aim to improve your ranking.

Develop an AI-Powered Chatbot

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Apply your Python and AI skills to create a functional AI-powered chatbot.

Browse courses on Natural Language Processing

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Design the chatbot's functionality and user interface.
Implement the chatbot's core NLP logic.
Train and test the chatbot to enhance its responses.
Deploy the chatbot and gather user feedback.

Career center

Learners who complete Developing AI Applications with Python and Flask will develop knowledge and skills that may be useful to these careers:

Full-Stack Developer

Full Stack Developers are responsible for the entire software development process, from design to deployment. This course will help you build a strong foundation in Python, a programming language that is used in both front-end and back-end development. You will also learn how to use Flask, a Python-based micro framework for building web applications. This knowledge will be essential for success as a Full Stack Developer.

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

Software Developer

Software Developers design, develop, and maintain software applications. This course will help you build a strong foundation in Python, a programming language that is widely used in software development. You will also learn how to use Flask, a Python-based micro framework for building web applications. This knowledge will be essential for success as a Software Developer.

See salaries and explore the career path for Software Developer

Software Engineer

Software Engineers design, develop, and maintain software applications. This course will help you build a strong foundation in Python, a programming language that is widely used in software engineering. You will also learn how to use Flask, a Python-based micro framework for building web applications. This knowledge will be essential for success as a Software Engineer.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design and develop websites. This course will help you build a strong foundation in Python, a programming language that is widely used in web development. You will also learn how to use Flask, a Python-based micro framework for building web applications. This knowledge will be essential for success as a Web Developer.

See salaries and explore the career path for Web Developer

Data Scientist

Data Scientists use data to solve complex problems. This course will help you build a strong foundation in Python, a programming language that is commonly used in data science. You will also learn how to use Watson AI libraries to build AI-powered applications. This knowledge will be essential for success as a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. This course will help you build a strong foundation in Python, a programming language that is widely used in machine learning. You will also learn how to use Watson AI libraries to build AI-powered applications. This knowledge will be essential for success as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Statistical Analyst

Statistical Analysts collect, analyze, and interpret data. This course will help you build a strong foundation in Python, a programming language that is widely used in data analysis. You will also learn how to use Watson AI libraries to build AI-powered applications. This knowledge will be essential for success as a Statistical Analyst.

See salaries and explore the career path for Statistical Analyst

Research Scientist

Research Scientists conduct research in a variety of fields, including computer science, engineering, and medicine. This course will help you build a strong foundation in Python, a programming language that is widely used in research. You will also learn how to use Watson AI libraries to build AI-powered applications. This knowledge will be essential for success as a Research Scientist.

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AI Engineer

AI Engineers design and develop AI-powered applications. This course will help you build a strong foundation in Python, a programming language that is widely used in AI development. You will also learn how to use Watson AI libraries to build AI-powered applications. This knowledge will be essential for success as an AI Engineer.

See salaries and explore the career path for AI Engineer

Application Architect

An Application Architect is responsible for designing, developing, and maintaining software applications. This course will help you build a strong understanding of Python, a programming language that is widely used in web development. You will also learn how to use Flask, a Python-based micro framework for building web applications. This knowledge will be essential for success as an Application Architect.

See salaries and explore the career path for Application Architect

Quality Assurance Analyst

Quality Assurance Analysts test and verify the quality of software applications. This course will help you build a strong foundation in Python, a programming language that is widely used in software testing. You will also learn how to write unit tests and perform static code analysis. This knowledge will be essential for success as a Quality Assurance Analyst.

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Product Manager

Product Managers are responsible for managing the development and launch of new products. This course will help you build a strong understanding of the software development process, from design to deployment. You will also learn how to use Python to develop prototypes and test new features. This knowledge will be essential for success as a Product Manager.

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Technical Writer

Technical Writers create documentation for software applications. This course will help you build a strong understanding of the software development process, from design to deployment. You will also learn how to write clear and concise documentation. This knowledge will be essential for success as a Technical Writer.

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System Architect

System Architects design and develop complex software systems. This course will help you build a strong understanding of the software development process, from design to deployment. You will also learn how to use Python to develop prototypes and test new features. This knowledge will be essential for success as a System Architect.

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UX Designer

UX Designers design the user experience for software applications. This course will help you build a strong understanding of the user experience design process. You will also learn how to use Python to develop prototypes and test new features. This knowledge will be essential for success as a UX Designer.

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