AI-Powered Dev Bootcamp

Ruby on Rails has been instrumental in consolidating many best practices in back-end web development—making it easier for developers to build large sites organized. Meanwhile, Python has completely revolutionized the way sites record and use data—and we do teach Python foundational skills in our Data Analytics bootcamps.

However, research and use cases show that today’s web runs on highly interactive and responsive experiences that don’t require a page refresh at every step. As a result, single-page applications (SPAs) written in JavaScript using frameworks like React or Vue.js make JavaScript one of the best programming languages to learn.

JavaScript also offers professional advantages over other languages. Metana graduates are well-rounded coders with both a thorough understanding of the full stack and programming concepts in general. We’ve learned through years of tech education that students may more easily understand and master other coding languages once they’ve learned full-stack JavaScript. This gives our graduates a more in-demand skill set that separates them from the competition and widens the range of coding job types they’re qualified for.

All our coding bootcamps are thorough, comprehensive, immersive, and rigorous. We’re backed by multi-year experience in online tech training to deliver consistent, in-demand coding curricula and digital learning tools in a remote environment.

The Advanced Software Engineering Bootcamp is designed to help you gain the skills and knowledge to work alongside AI tools, ensuring you stay valuable and relevant in the tech industry without the fear of being replaced

Metana's  Advanced software engineering bootcamp is a 5-month (8 Months Part time) program delivered in online sessions. Participants will have access to online course materials and lectures.

The Advanced Software Engineering Bootcamp is for developers with Intermediate level experience ( 4+ Years of Experience ). If you’re ready to take your coding skills to the next level, this program will help you grow your knowledge, improve your skills, and get hands-on experience to succeed in tech.

Watch what our Fullstack graduates has to say about Metana.

Rosa's Review and David’s Review

For the full-time program, with participants expected to devote approximately 40 hours per week to coursework and projects.

If done part time, 20-30 hours per week is sufficient. 

Yes, participants who successfully complete the bootcamp will receive a certificate of completion.

Our Advanced Software Engineering Bootcamp is designed for individuals with a foundational understanding of programming. While prior experience in at least one programming language (such as JavaScript, Python, or Java) is highly recommended

If you're new to coding, we recommend you to check our Full Stack Software Engineering Bootcamp

Some scholarships and financial assistance may be available for eligible participants.

The recent leap in artificial intelligence (AI) tools will enhance the productivity of the software engineer like nothing before it. Perhaps the greatest recipients of this technology will be our graduates, and those just starting out or entering the software engineering field.

That is why we’re proud to teach the AI-powered tool GitHub Copilot in our instructor-taught curriculum in all our coding bootcamps. At Metana we believe that new coders and new software engineers should learn foundational skills before being introduced to these types of productivity-enhancing tools.

Yes, we cover AI basics in the Foundational Development phase, specifically in Week 4: Introduction to AI Concepts. Students learn about machine learning (ML), natural language processing (NLP), and real-world AI applications like chatbots and recommendation systems. Using tools like TensorFlow.js, they build simple AI-powered features, such as chatbots or image classifiers.

We also teach students how to use modern AI tools like GitHub Copilot, ChatGPT, Bard, and Claude to improve productivity, debug code, and enhance their projects. This ensures they gain hands-on experience with both creating and using AI in software engineering.