AI Software Engineering Bootcamp Online
- Difficulty
- Beginner
- Format
- Self-paced
- Delivery
- Online
- Time Commitment
- 300 hours
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Summary
This 300-hour bootcamp targets entry-level AI-assisted developer and junior software engineer roles over roughly three months. It moves from full-stack web development fundamentals into production practice, covering modern development environments, version control, testing, and API and database design, with AI-assisted tooling used throughout rather than bolted on at the end.
The curriculum also covers secure development, continuous integration and deployment, systems thinking, and software architecture. Instruction runs through hands-on labs, pair programming, and code review, and ends with a team capstone in which students design, build, deploy, and present a production-ready application.
Who this course is for
People starting or moving into software engineering who want to work with AI development tools, and technical professionals extending into full-stack development and system design.
Curriculum
What you'll learn
- Build and deploy full-stack applications through AI-assisted workflows
- Work with modern development tools, version control, and team processes
- Design user-friendly applications with strong UX and accessibility standards
- Develop secure, scalable systems using best practices in architecture and infrastructure
- Integrate APIs, databases, and external services into applications
- Create a professional portfolio that showcases real-world projects
Course outline
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AI Coding Fundamentals Course Online 60 hours
Take charge of the entire process of planning, building, and deploying real web applications with Claude Code in this beginner-friendly bootcamp, filled with expert instruction, interactive practice, seven labs, and a capstone project.
- Use Claude Code with confidence for genuine development tasks and multi-step coding workflows
- Prompt and guide AI effectively through context setting, Plan Mode, review, and recovery methods
- Handle version control with Git and GitHub, including branching, pull requests, and code review
- Grasp the fundamentals of modern web development, from HTML, CSS, and JavaScript to APIs and frontend and backend concepts
- Create full-stack applications powered by Next.js, databases, authentication, and external APIs
- Test, debug, secure, and launch production-ready applications to the live web
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AI Coding for Product & UX Course Online 60 hours
Explore how product strategy, UX design, and modern development practices come together in AI-assisted software engineering.
- Apply type-safe development practices with modern programming languages
- Design and build relational databases and structured data models
- Create and document APIs with proper versioning and error handling
- Carry out user experience research and put design systems into practice
- Turn product requirements into technical specifications
- Write and maintain professional-grade test suites
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AI Coding for Security Course Online 60 hours
Learn how to secure applications and manage production environments through modern development and AI security practices.
- Operate within team-based development workflows using version control and code review
- Set up continuous integration and deployment pipelines
- Monitor applications with observability and debugging tools
- Apply cybersecurity fundamentals and threat modeling techniques
- Handle authentication, authorization, and sensitive data securely
- Spot and reduce risks specific to AI-powered applications
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AI Coding for Systems & Architecture Course Online 60 hours
Understand how modern applications are structured, scaled, and optimized through systems design and architecture principles.
- Apply core computer science concepts to real-world development challenges
- Design scalable systems with modern architecture patterns
- Work across networks, concurrency, and multi-language environments
- Set up caching, queues, and background processing workflows
- Deploy applications using cloud infrastructure tools
- Optimize performance and maintain system reliability
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AI Coding Capstone Course Online 60 hours
Complete a hands-on capstone project that shows your ability to build and deploy AI-powered applications.
- Plan and carry out a full application build from concept to deployment
- Use advanced AI-assisted development workflows and tools
- Weave AI-powered features into real-world applications
- Run production readiness reviews and testing
- Present technical work clearly through demos and documentation
- Prepare a portfolio project for job applications
What's included
- 300 hours of project-based instruction
- Instructor support for questions during the course
- Additional one-on-one mentoring outside class
- Verified digital certificate of completion
- Instruction at an ACCET-accredited school
Stated by the provider. Confirm what your tuition covers before enrolling.