This intermediate-level Python course is designed to help you build AI-powered web applications using Flask and OpenAI. Curriculum covers topics such as setting up Flask projects and integrating AIs to help with key tasks, including building and styling web forms and integrating AI for tasks like sentiment analysis. This Python for AI course is ideal for those pursuing careers in AI development, Python engineering, or web application design.
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Course Details
With the rise in artificial intelligence (AI) technology, businesses and institutions are looking for skilled professionals to design and train effective AI applications. This Python course provides you with the skills needed to begin designing and developing AI applications using Flask and OpenAI. All lessons will focus on developing practical skills you can immediately utilize in real-world AI projects.
This comprehensive Python training is designed to help you move beyond foundational Python programming skills to developing web apps that are portfolio-ready. This includes building and styling web forms as well as integrating AI for tasks like sentiment analysis. Real-world exercises involve API requests, error handling, and back-end logic to create functional, AI-enhanced web tools.
The structured projects allow you to gain experience with back-end frameworks and API integration, both competencies necessary to advance into roles like a web developer or software engineer. This course supports your career growth by teaching the skills needed to stand out in interviews or to pursue a certification.
What you will learn
- Set up Flask projects and create routes for web applications
- Handle GET and POST requests, and render HTML templates in Flask
- Configure and make OpenAI API requests for sentiment analysis tasks
- Design and style HTML forms, and apply CSS to web apps
- Implement error handling and debug common issues in Flask applications
- Integrate AI models into web applications using APIs
How you will benefit
Develop your own portfolio of practical exercises that you can add to your job search materials after completing the course
Become up-to-date on cutting-edge AI technology and understand how to use platforms like OpenAI for developing and releasing projects
Gain hands-on skills for training and deploying AI models that you can apply to datasets and improve your chances of finding work in the field
Syllabus
- Using VSCode & Flask
- Rendering HTML with Flask
- Connecting with OpenAI
- Jinja and Prompt Engineering
- Building the Chat
- Coding HTML & CSS
- Using JavaScript
- Improving the Chat
- Starting the Meal Analyzer
- Finalizing the Meal Analyzer
Requirements
Requirements:
Hardware Requirements:
- This course can be taken on either a PC or Mac. Chromebooks are not compatible.
Software Requirements:
- PC: Windows 10 or later.
- Mac: macOS 12 or later.
- Browser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.
- Microsoft Word Online
- Adobe Acrobat Reader
- Google Colab
- ChatGPT Plus account
- Software must be installed and fully operational before the course begins.
Other:
- Email capabilities and access to a personal email account.
Instructional Material Requirements:
The instructional materials required for this course are included in enrollment and will be available online.
Prerequisites:
This course requires students to have a foundational knowledge of Python, including variables, collections, conditional logic, loops, and functions, as well as basic knowledge of HTML and CSS.
Instructor
Brian McClain
Brian McClain is a senior instructor and program director at Noble Desktop, where he teaches Python, data science, machine learning, and AI courses. His expertise covers several programming languages (including Python, R, and SwiftUI) and advanced frameworks (SQL, Flask, and OpenAI technologies). Brian holds certifications as a New York State Instructor of Computer Applications and a Licensed Private Career School Teacher. He earned his Bachelor’s degree in Political Science from Duke University.
Colin Jaffe
Colin Jaffe is a programmer and curriculum developer at Noble Desktop. He has taught coding and software development at Noble Desktop as well as various other educational institutions. Colin’s teaching focuses on algorithmic thinking, application logic, and practical frameworks such as React and Python. His professional background includes front-end development and data analytics, and he brings creativity to technical instruction, shaped by his experience as a self-taught programmer.
$1695.00 US Dollars
This course is self-paced and 100% online.
60 hours
Job Outlook
In 2025, Python developers in the U.S. earn an average salary ranging from $82,000 to $117,000 per year. Beginners usually make $56,000 to $80,000, mid-level developers earn about $109,000 to $117,000, and senior Python developers can earn $130,000 or more, depending on their skills and the industry they work in.
As of 2025, a junior AI engineer in the United States typically earns an average base salary of around $75,000 to $95,000 per year, depending on the company and location. According to Levels.fyi, entry-level AI engineers tend to earn about 8.13% more than their non-AI counterparts in similar roles, reflecting the premium placed on AI skills
In high-demand tech hubs like San Francisco or Seattle, junior AI engineers may see starting salaries exceed $100,000, especially when factoring in bonuses and equity.