Get the Skills to Become a Full-Stack Developer
30-Week* Full Stack Development Immersive with AI Tools Coding Bootcamp
Full-stack developers are versatile professionals with expertise in both front-end (user interface) and back-end (server, database, and application logic) development. They have the skills to work across all web application layers, allowing them to build complete, functional products from start to finish.
The Full Stack Development Immersive with AI Tools certificate program is a 30-week* bootcamp designed to prepare students for entry-level full-stack web developer roles in an industry increasingly shaped by AI-assisted workflows. With rolling start dates every five weeks, it offers online and hybrid formats for easy communication with instructors and peers. There are no required textbooks or course material costs for students.
Next Start Date: Sep 14thFull Stack Development Immersive with AI Tools San Diego Global Knowledge University - San Diego Campus 1095 K Street, Suite B San Diego California USA 92101 Learn the basics of front and back-end coding for website and app development. You will be trained in the top coding languages used by the best full stack developers in the technology sector.https://sdgku.edu/wp-content/uploads/2014/11/AdobeStock_498919631.avifSan Diego Global Knowledge University
The best way to see if San Diego Global Knowledge University is the right fit for you is to book an Admissions Appointment. You’ll meet with an Admissions Representative who will give detailed program and schedule information. Book an Admissions Appointment or Get more info.
Becoming a Skilled Full Stack Developer
Launch your career as a full-stack web developer through our FSDI with AI Tools program, where you’ll master the skills employers actually want, writing production-ready code and knowing how to use AI as a genuine development partner.
You’ll build real, professional-grade web applications from the ground up, learning every layer from user interface, front-end, middle-tier, and back-end. Core coursework covers in-demand languages like HTML, CSS, JavaScript, jQuery, React, and Python, plus frameworks like Django and NoSQL databases like MongoDB. You’ll also pick up the tools and practices every dev team relies on, including GitHub, Agile, and Scrum.
What sets this program apart is how AI is woven into your training from day one. Every course includes hands-on practice with modern AI coding assistants and design tools, debugging code, reviewing your work, generating test cases, and speeding up prototyping, while building the judgment to critically evaluate AI suggestions rather than accept them blindly. It’s exactly how full-stack developers work today, strong fundamentals paired with real AI fluency.
By the time you complete our program, you’ll have shipped everything from simple websites to complex applications with external data integrations, built with the same AI-assisted workflows used today, and walked away with a professional portfolio built in a simulated tech environment, ready to show employers you can code and collaborate with AI tools.
Is a Full Stack Development with AI Tools Bootcamp Right For You? Find Out! Take the SDGKU “Career Training Readiness Quiz”
This fun, online quiz takes 3 minutes to complete and you'll get a personalized report. Identify your strengths and social style plus the training and positions you're best suited for. Get Your Career Training Readiness Score Now >>
Approved for Veterans
San Diego Global Knowledge University proudly supports our heroes in pursuing their personal and professional goals. The U.S. Department of Veterans Affairs has approved the Full Stack Developer program, allowing veterans to use their Chapter 33 Post-9/11 G.I. Bill® benefits, as well as other educational benefits—including Chapters 30-32, 35, 1606, and the Veterans Rapid Retraining Assistance Program (VRRAP)—to assist with tuition and fees.
Federal Financial Aid
If you qualify for funding, you may be entitled to government grants and loans, available at the best rates possible. Learn More
This full stack program was exactly what I needed to take me into a world that I knew existed, but was foreign to me, and which I know I will enjoy greatly. The skills that I learned will help me to expand my horizons for many years to come. Thank you, San Diego Global Knowledge University!
Career Opportunities
Graduates of the Full Stack Development Immersive with AI Tools acquire the basic skills necessary to strongly compete for an entry-level position as a full stack developer in companies from varying industries. Most graduates work at tech companies, freelance for multiple clients, or start their own businesses. The program also provides career training and counseling to help students improve their resumes, explore job opportunities, and stand out in the job market.
100% Online and Hybrid Options Available
Our program is designed to fit the needs of busy, adult learners, so you can choose between our 100% online or hybrid learning option. Many of our students are raising families and some continue to work while going to school. We will help you choose a schedule that works for you.
Academic Support
This full-stack coding with AI tools bootcamp is designed for dedicated students who understand that learning to code is challenging and requires commitment and expert guidance. Our instructors, many doctoral-level professionals, bring extensive experience and a deep understanding of the learning process.
Every AI tool used in the curriculum is supported by a live instructor, so students always have a real person to turn to when questions come up, not just an AI tool on its own. The bootcamp provides the highest quality support to students so that they can maximize their learning capacity and career preparation as a full stack developer.
- Define the concept of “Full Stack” in web development and the basic principles and rules of web design.
- Describe some of the most used digital languages in industry, their strengths, and applications.
- Explain data structure and system design techniques for solving problems in different environments and contexts.
- Apply project management methodologies and skills of web development projects in a variety of organizational environments.
Students enrolled in this non-degree program must achieve a minimum cumulative grade point average (CGPA) of 2.0 to graduate. Applicants for this non-degree program must submit the following documents:
1. The corresponding SDGKU online Application for Admission and supporting documents; and
2. Official transcripts of record from a high school recognized by the United States Department of Education or equivalent, including established foreign high schools, if the institution offering the program documents that its minimum required courses of study, units and content rigor are the same as those of a high school from an institution approved by the United States Department of Education.
30 weeks* or 24 semester credit hours.
Textbook Costs & ISBNs: View Document
Details
- This program is offered in both online and hybrid options.
- There is no difference in cost between the two options and there are no additional associated costs for taking the hybrid option.
- The curriculum for both options is the same in terms of academic requirements.
- The hybrid option is offered to students who would prefer to attend in-residence sessions periodically.
- Non-local students are responsible for their own travel expenses and lodging.
- There are NO textbook costs for this program (Estimated, purchased by students from publishers or re-sellers)
Modalities
Online students study and attend class remotely for 100% of their curriculum, while hybrid students are required to both study online and attend in-residence sessions offered at the SDGKU campus.
Scheduling
In-residence sessions are scheduled prior to start date of a program or course.
Enrollment
If you are interested in enrolling in a hybrid program, please reach out to our admissions representatives for questions on in-residence session scheduled dates and times.
Lead Faculty: Samantha Jimenez, Ph.D.
Dr. Samantha Jimenez serves as lead faculty for the FSDI program. She has over 10 years experience teaching computer software engineering, programming, and computer science and has participated in leadership roles for various software development projects and professional conferences in the software industry and academia. When she’s not working as a full stack instructor, she is an avid volleyball player and participates in competitive tournaments throughout the year.
Full Stack Development Course Descriptions
This course covers the fundamentals of HTML and CSS, the building blocks of every website. Students learn to structure content with HTML5 and write CSS rules that control how that content looks and behaves. Working alongside modern AI coding assistants, students see firsthand how AI tools can help to understand the typed code, how to identify errors using IA tools and correct the code themselves. By the end of the course, students will have built their first HTML5 website with each of the elements presented in the course. (1 credit hour)
Prerequisite: None
This course builds on foundational HTML and CSS skills with more advanced page structures, including image galleries, tables, and media integration. Students strengthen their understanding of how CSS rules cascade and apply across a page with compound selectors. They also learn to use AI-assisted tools to catch accessibility
issues, test responsiveness, and troubleshoot the code, building the habit of pairing AI-generated suggestions with their own critical review before publishing a page. (1 credit hour).
Prerequisite: FSDI 101
This course introduces students to Scratch, an easy-to-use programming language, to build the computational thinking skills every developer needs. Students learn to break problems into clear, logical steps, design algorithms, and translate those algorithms into working code. The course draws a direct line between this kind of step-by-step problem-solving giving students an early, intuitive sense of the logic that underlies both traditional programming and modern AI tools. Students will use IA tools to understand the typed code and identify errors. (1 credit hour)
Prerequisite: FSDI 102
This course presents the key concepts of computer programming using JavaScript. Students learn how JavaScript manipulates the Document Object Model (DOM) to change a page’s content, structure, and
behavior while it’s loaded in the browser, and how events trigger code to run. Students also practice using AI coding assistants to explain unfamiliar JavaScript syntax and suggest fixes, learning to verify and understand every suggestion rather than accepting it blindly, an essential skill for any developer working alongside AI
tools. (1 credit hour).
Prerequisite: FSDI 103
This course introduces jQuery and how it simplifies common JavaScript tasks into shorter, more readable code. Students learn to use Ajax and Application Programming Interfaces (APIs), including HTML5 APIs and third-party services like Google Maps. As they build with Ajax calls, students also practice using AI assistants to
debug asynchronous requests and review their jQuery code, learning to spot the kinds of timing and callback issues that are easy to miss on a first read. (1 credit hour)
Prerequisite: FSDI 104
This course asks students to apply their JavaScript and jQuery knowledge to a hands-on project that demonstrates their growing command of both. Students continue practicing more advanced JavaScript and jQuery techniques, given the central role jQuery still plays across the web. Students also use AI as a debugging assistant and code reviewer, generating test cases to check their own logic and comparing AI feedback against
their own reasoning before deciding what to change. (1 credit hour)
Prerequisite: FSDI 105
This course explores JavaScript-based front-end development using React.js. Students use JavaScript ES6 to build a React application, work with individual components to create reusable, more complex user interface (UI) designs, and learn how React Router powers single-page applications. Students also practice using
AI tools to debug component rendering issues and review their own component code, learning to treat AI feedback as one useful input among several when deciding how to refine their work. (1 credit hour)
Prerequisite: FSDI 106
This course focuses on designing controlled forms and introduces Flux architecture as a design pattern, along with Redux as a predictable state container for JavaScript applications. Students explore how Redux powers React-Redux applications and learn to perform asynchronous calls to communicate with a REST API. Working
through state-management bugs, students learn to use AI as a debugging and test assistant to trace data-flow issues and generate test scenarios, while developing the deeper understanding of application state that lets them judge when an AI suggestion is actually correct. (1 credit hour)
Prerequisite: FSDI 107
This course presents the basic principles of Python, a general-purpose language used far beyond web development, including in back-end systems, data science, and automation. Students build a Python application using lists, conditionals, dictionaries, classes, and functions, with a particular focus on testing and debugging for quality. As part of that focus, students practice using AI as a debugging assistant and code reviewer, comparing its suggestions against their own understanding of the code before applying any fix. (1 credit hour)
Prerequisite: FSDI 108
This course provides a hands-on introduction to building backend APIs with Python, using a lightweight, open-source Python web framework to build dynamic, data-driven applications. Students build a backend connected to a NoSQL database (MongoDB) to persist data, exposing that functionality as a RESTful API consumed by a React front-end. Throughout the project, students use AI as a test assistant to help generate test cases for their endpoints and as a code reviewer to check their API design against best practices. (1 credit hour)
Prerequisite: FSDI 109
This course goes deeper into building and running applications with a Python micro web framework, teaching students to create micro-services, build templates for graphical front-ends, connect applications to databases for full create-read-update delete functionality, and collect user input through web forms. Students apply these
skills to classic project types, including a RESTful backend, a blog, and an ecommerce store, using AI-assisted testing tools to validate that their endpoints behave correctly under different inputs, and AI code review to catch issues before deployment. (1credit hour)
Prerequisite: FSDI 110
This course expands on students’ Python knowledge with an introduction to Django, a high-level Python web framework built for rapid, clean, and pragmatic development. Students experience the collaborative process of building a web application, including testing and deployment, using Django’s conventions and tools. Students also use AI as a debugging assistant and code reviewer while working through their models, views, and templates, learning to weigh AI suggestions against Django’s own conventions before applying them. (1 credit hour)
Prerequisite: FSDI 111
This course introduces students to more complex problems in developing and deploying a Django application, building the skills to create a more robust, secure, and scalable product. Students see firsthand why Django remains one of the most popular Python frameworks, thanks to the breadth of features it includes by default. Students use AI as a test assistant to help identify edge cases and as a code reviewer to flag potential security or scalability issues, always verifying those findings against their own analysis of the application. (1 credit hour)
Prerequisite: FSDI 112
This course covers the essential concepts every serious programmer needs to know about algorithms and data structures, with an emphasis on real-world applications and performance analysis using Python. Students study elementary data structures, sorting, and searching algorithms, and learn to design efficient data structures that make programs faster and more scalable. Students also use AI as a code reviewer and debugging assistant to
evaluate the time and space efficiency of their implementations, reinforcing their own understanding of why one approach performs better than another. (1 credit hour)
Prerequisite: FSDI 113
This course guides students through a complete design project from start to finish, applying core UX principles like user testing and wireframing. Students build Responsive Web Design (RWD) functionality so their project adapts its appearance to different screen sizes, orientations, and devices. Students also experiment with AIpowered design and prototyping tools to generate wireframe drafts and layout variations quickly, then apply their own UX judgment to refine, simplify, and finalize the design so it genuinely serves the end user. (1 credit hour)
Prerequisite: FSDI 114
This course introduces the software development life cycle (SDLC), an iterative process for building and delivering software, along with methodologies like Agile, Scrum, and test-driven development that project managers use to plan and manage their work. Students collaborate in self-organizing, cross-functional teams and learn to define the end user clearly. Students also explore how AI tools are increasingly used inside Agile workflows, such as assisting with backlog grooming, sprint planning, and status reporting, and discuss where these tools help and where human judgment still leads. (1 credit hour)
Prerequisite: FSDI 115
This course covers the fundamentals of software architecture and design patterns within an Agile environment. Students write code based on different design patterns and choose the architecture best suited to their project, while also practicing core project management tasks like cost and effort estimation, an essential skill for freelancers and junior developers alike. Students learn to use AI- assisted estimation and planning tools to
sanity-check of the architecture, developing the ability to combine AI- generated estimates with real project
experience and sound professional judgment. (2 credit hours)
Prerequisite: FSDI 116
This course integrates concepts and tools from earlier courses as students begin the core programming work for their final Capstone project, with a focus on designing, building, and testing its user experience (UX). Special attention is given to branding, usability, and function as the key drivers of a product people find genuinely valuable. Students use AI-powered design tools to accelerate wireframing and prototyping while planning their capstone project, then apply their own UX training to shape those drafts into a polished, user-centered experience. (2 credit hours)
.Prerequisite: FSDI 117
This course guides students through defining a development approach and overall architecture for their final
Capstone project, continuing development under an Agile methodology. Students apply adaptive planning to respond flexibly to change, while selecting architectural styles and design patterns that make future changes easier to incorporate. Students also use AI coding assistants to support code review and refactoring decisions as the architecture evolves, always validating suggestions against their own architectural reasoning before
adopting them. (2 credit hours)
Prerequisite: FSDI 118
This course concludes the Capstone series and the Full Stack Development Immersive program. Students finalize their Capstone projects, applying the programming principles learned throughout the program
and demonstrating their ability to manage both the development process and the financial feasibility of their work. Students launch their projects as live websites or applications, using AI tools to help prepare
project documentation and presentation materials, and present their final work to peers and instructors, simulating a real-world project rollout to future employers. (2 credit hours)
Prerequisite: FSDI 119
Is a Career as a Full Stack Developer Right for You? Get More Info…
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For immediate questions, call (619) 934-0797.
Frequently Asked Questions
*Program length when completed in normal time.