AI Software EngineeringCareer Accelerator

All our coding bootcamps are thorough, comprehensive, immersive, and rigorous, and the Advanced Software Engineering Bootcamp is no exception. Everything runs online, but that does not mean self-paced or hands-off: each 10-student cohort works through live classes, 1-on-1 mentorship, and personal tutoring on a structured schedule across four phases covering advanced algorithms, system design, behavioral interview mastery, and Java object-oriented design. You get direct access to your instructor and a dedicated support tutor between sessions, not just recorded lectures, so questions get answered the same way they would in person. We are backed by multi-year experience delivering online tech training, and the remote format is built specifically to help you work alongside modern AI tools like GitHub Copilot, ChatGPT, Claude, and Gemini, so you stay valuable and relevant in the industry rather than being replaced by the technology you are learning to use.

Metana's Advanced Software Engineering Bootcamp is fully online and delivered as a 5-month full-time program, or 8 months if you go part-time alongside a job or other commitments. There is no in-person component - everything happens through live instructor-led sessions, recorded course materials, and lectures you can revisit whenever you need to reinforce a topic. The curriculum is split into four phases: advanced algorithms and problem-solving, system design, behavioral interview mastery, and Java object-oriented design with design patterns, each building on the last. Cohorts are capped at 10 students specifically so the online format still feels personal, with direct instructor access, 1-on-1 mentorship, and a dedicated support tutor rather than a self-serve video library. Whichever pace you choose, full-time or part-time, you get the same curriculum, the same JobCamp career-services program, and the same Job Guarantee backing the outcome.

The Advanced Software Engineering Bootcamp is built for developers who already have intermediate-level experience - we recommend at least 4 years of hands-on coding before applying, since the curriculum assumes you can already write working software and focuses on leveling you up rather than teaching you to code from scratch. It's the right fit if you're ready to solve complex interview problems with advanced data structures and algorithms, design scalable systems from first principles, write clean Java using OOD and SOLID principles, and master behavioral interview storytelling with the STAR method. It's also built for engineers who want to use AI tools like GitHub Copilot and Claude responsibly in real workflows, not just experiment with them casually. If you're targeting senior-level roles such as Senior Software Engineer, Software Architect, or AI Infrastructure Engineer and want a structured, mentorship-backed path to get there, backed by a Job Guarantee, this program is built specifically for you.

Full-time participants should expect to devote roughly 40 hours a week to coursework, live sessions, and project work across the program's four phases: advanced algorithms and problem-solving, system design, behavioral interview mastery, and Java OOD with design patterns. If you go part-time, 20 to 30 hours a week is enough to keep pace, which is why the same curriculum stretches to 8 months instead of the 5-month full-time track. That time isn't spent passively watching videos - it includes live instructor-led classes, 1-on-1 mentorship sessions, mock interviews, and hands-on practice like case-study deep dives on real systems such as Twitter/X, Uber, Dropbox, and Stripe, plus mock OOD interviews on problems like a parking lot or elevator system. Toward the later phases, expect some of that time to shift toward JobCamp career-services work too - resume and LinkedIn optimization, structured job search, and interview preparation - since landing a senior-level offer is as much a part of the commitment as the technical curriculum itself.

Yes - everyone who successfully completes the Advanced Software Engineering Bootcamp receives a Certificate of Completion. To earn it, you need to finish all four phases of the curriculum (advanced algorithms, system design, behavioral interview mastery, and Java OOD with design patterns) and meet the program's coursework requirements, the same bar that qualifies you for the Job Guarantee if you opted into it at enrollment. The certificate is a straightforward record that you completed a rigorous, mentorship-backed program covering senior-level engineering skills, not a pass or fail exam score, so the real credential most graduates lean on afterward is the portfolio of work, mock interviews, and JobCamp outcomes built alongside it. If your goal is landing a senior-level role, the certificate is one piece of evidence for recruiters and hiring managers, but it's the combination of demonstrated skills, a structured interview process, and the Job Guarantee backing your outcome that carries the most weight once you start applying.

The Advanced Software Engineering Bootcamp is designed for people who already have a foundational understanding of programming, not total beginners. We strongly recommend prior experience in at least one programming language, such as JavaScript, Python, or Java, since the curriculum moves quickly into advanced data structures, system design, and Java object-oriented design rather than covering programming fundamentals from scratch. In practice, that usually means 4 or more years of coding experience, whether from a previous job, a degree, or serious self-directed projects - the program assumes you can already read, write, and debug real code comfortably. If you're new to coding or don't yet have that background, this isn't the right starting point; we recommend checking out one of our beginner-friendly software engineering bootcamps instead, and coming back to this accelerator once you have hands-on experience under your belt. An advisor can help confirm which track fits your current level during your enrollment call.

Yes. Scholarships and other financial assistance may be available for eligible participants - an advisor can walk you through what you currently qualify for on your enrollment call. Beyond scholarships, financing is available from $69 to $214 a month through a personal loan with Climb Credit, which lets you spread the cost of the program over time instead of paying upfront. Tuition itself starts at $7,500, discounted from $9,400, if paid upfront, or as a $2,000 deposit plus $1,272 a month for five months; a second plan with extended mentorship and priority career-services support runs $11,700 upfront or $3,500 plus $1,990 a month. Applying is free, and there's no payment required until we've confirmed the cohort is the right fit for you. Whatever plan you choose, it's backed by the same Job Guarantee and the same 2-week, no-questions-asked refund policy, so the financing structure doesn't change what you're covered by if things don't work out.

AI tools are changing what companies expect from a software engineer faster than almost any shift we've seen - the engineers who thrive design scalable systems and use AI to build, debug, and ship faster, not the ones who avoid the tools out of fear of being replaced. The recent leap in AI coding assistants will enhance an engineer's productivity like nothing before it, and we believe our graduates are positioned to be among the biggest beneficiaries of that shift. That's why we teach AI-powered tools like GitHub Copilot directly in our instructor-taught curriculum, alongside Claude, ChatGPT, and Gemini, but only after making sure engineers have the foundational skills to use them well rather than depending on them to paper over gaps. In practice that shows up across the curriculum as AI-assisted debugging, AI data pipelines and vector databases in system design, and AI-powered personalization in behavioral interview prep, so students graduate able to build with AI and explain their reasoning without it.

Yes - AI isn't a bolt-on module here, it's woven through the whole curriculum. Students learn to use modern AI tools like GitHub Copilot, ChatGPT, Claude, and Gemini to improve productivity, debug code faster, and strengthen their projects, starting in Phase 1 with AI-assisted debugging and AI prompting for data structures and algorithms. In Phase 2, system design, that extends into building with AI data pipelines, vector databases, and retrieval-augmented generation (RAG) systems, plus designing AI agents and automation flows as part of microservices architecture. Behavioral interview prep in Phase 3 uses AI-assisted story development and AI feedback on delivery, and the Java OOD phase includes AI-assisted design review and AI-powered refactoring when working through SOLID principles and design patterns. The goal is for students to graduate with hands-on experience both building AI-integrated systems and using AI responsibly as a working engineer, so you walk away as comfortable creating with these tools as you are being interviewed about how you used them.