Python Bootcamps Detroit, MI

Gain fluency in Python — the world's fastest-growing major programming language — and start leveraging its versatile capabilities to build web and data science applications. This course is offered in person and live online, in a remote classroom setting.

Learn the essential skills and tools to become a Python Developer. This beginner-friendly course teaches students Python for software development with Django and Django REST in addition to other developer tools such as Git and SQL. After completing this certificate, students will be able to apply for the following roles: Python Developer, Back End Developer, Software Engineer, and many more.

Transform your career with the University of Michigan's AI & Machine Learning Bootcamp, an innovative program powered by Fullstack Academy. Over 26 weeks in a part-time, online format, this bootcamp guides students through the practical and theoretical aspects of AI and machine learning. Using real-world tools, students work on projects that apply AI fundamentals, setting them up for success in current roles or new careers in the rapidly growing field of data and AI technology.

The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field. Over 26 weeks part-time, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the working knowledge and experience needed to qualify for a range of data roles, including those concentrated in AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal, specialized career path in the industry.

In the Python for Data Science Masterclass, students learn both foundational and advanced Python programming skills, including data types, control flow, and object-oriented programming. The curriculum covers data science libraries like NumPy and Pandas for data manipulation and Matplotlib and Seaborn for data visualization. The course also covers advanced techniques such as web scraping, database querying, and using APIs.

The Advanced Python for Data Science Bootcamp teaches students how to refine their Python programming skills by learning advanced functions, web scraping techniques, and working with JSON data and APIs. The lessons cover regression analysis, creating complex visualizations, and integrating SQL in Jupyter Notebooks. The course also dives into the use of libraries like Seaborn and Beautiful Soup for data visualization and web scraping, respectively.