Programming Classes Jacksonville, FL

The Online AI & Machine Learning Bootcamp at the University of North Florida, a 26-week part-time program powered by Fullstack Academy, offers students from diverse professional backgrounds the opportunity to master AI and machine learning skills. This comprehensive course combines lectures, labs, and projects, utilizing Fullstack Academy's active learning approach to provide practical, real-world tool application, preparing students for careers in the fast-growing data field.

Dive into the world of web development with the University of North Florida's full-time Coding Bootcamp, a 16-28 week immersive program powered by Fullstack Academy, designed for individuals starting their journey in tech, with a focus on full stack JavaScript. This intensive course not only teaches coding fundamentals but also offers live instruction from experienced professionals, collaborative project work, and essential career support, leading to a robust portfolio.

Designed for those balancing career or personal commitments, the University of North Florida's part-time Coding Bootcamp, in collaboration with Fullstack Academy, extends over 28 weeks, providing a comprehensive introduction to full stack JavaScript. This flexible program emphasizes real-world application, offering expert-led online instruction, teamwork on practical projects, and career development to confidently step into roles like Software Engineer and Web Developer.

Become a Software Engineer or Full Stack Developer in this immersive course. Master the front-end using HTML, CSS, JavaScript, and React; build the back-end with Python, Django, and Node.js. You'll also learn Git for version control, Flexbox and Grid for layout, MongoDB for creating data structures, and much more. Throughout the program, you'll build a portfolio of projects to help you secure a career in software and development. 

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

This part-time, 6-month coding bootcamp prepares individuals with a range of tools and concepts needed to be successful for a career in the software developer space. This bootcamp is broken into three parts: Web Foundations, Front-End Development, and Back-End and Full-Stack Development. The web foundations section teachest students the basics of HTML, CSS, Flexbox, DOM, and text editors. In front-end development component, students learn about data types, functions, methods, objects, looping, and more. In the back-end and full-stack section, students learn about servers, databases, SQL, React, and more. The program also includes professional development assistance and career support to ensure graduates secure lucrative developer positions.

Meet the global demand for technical problem-solvers by developing your coding skills to create full-stack web applications across multiple frameworks, incorporating functionality from third-party APIs, executing software engineering projects in an Agile development workflow, and more.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

This 5-day introductory Python programming course is designed for students with no prior programming experience and are looking to get comfortable with basic skills needed for Python programming. This skills-centric course will cover foundational Python concepts, including data types, control statements, using functions and modules, handling exceptions and debugging programs, working with lists, and how to work with a variety of data types. By the end of the course, students will be familiar with writing programs to create real-world Python applications.