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Advanced Software Engineering Bootcamp

For existing engineers to find better jobs

Master system design, advanced algorithms, cloud computing, and micro-services architecture. Gain hands-on experience building scalable, high-performance applications. Metana Guarantees a Job

8 weeks of Foundations of Advanced Software Engineering

6 weeks of Advanced Software Design

4 weeks of Capstone Project

Online, part-time program.

Online
Campus
20 Weeks
Course Duration
25h/Week
Time Commitment
Intermediate
Level
+$26,500

Average salary increase

Metana students who provided pre- and post-course salaries.

$140,052

Software Engineer average salary

Source: Glassdoor

Why Metana's Advanced Software Engineering bootcamp?

Metana Students land 10x more interviews

1-on-1 mentorship, coaching and career services

Find the answers you can’t Google

Industry-Experienced Instructors

In-Demand Curriculum

Personal tutoring and live classes

You'll receive your very own personal support tutor

Plus, our online Advanced Software engineering bootcamp covers all relevant languages, tools, including:

Engineers at top companies join Metana

Overview

Metana is renowned for its cutting-edge bootcamps that prepare graduates for thriving careers in tech. With a proven track record of producing successful professionals, our JobCamp™️ program and foundational teaching methods provide students with the skills and support they need to excel in their first job and advance their careers.

Now, with the launch of our Advanced Software Engineering Bootcamp, experienced developers and intermediate coders can elevate their skills to the next level. This program is designed to equip participants with advanced technical knowledge and prepare them for specialized roles like Software Architect, Technical Lead, Backend Engineer, and DevOps Engineer.

Our Advanced Software Engineering Bootcamp combines an interactive, project-based curriculum with in-demand technologies and industry best practices. Students will master topics such as system design, cloud computing, microservices architecture, and scalable application development.

Designed for part-time & full-time online study. Enroll now!

Roles and Salaries

The estimated total pay for a Software Engineer is $139,644 per year in the United States area, with an average salary of $113,158 per year.

Source: glassdoor

Senior Software Engineer

Average $148,554 per year

Source: Indeed

Software Architect

Average $144,359per year

Source: Indeed

Backend Engineer

Average $148,554 per year

Source: Indeed

Tech Lead

Average $221,000 per year

Source: Indeed

Application Developer
Average $87,811 per year

Source: Indeed

Devops Engineer

Average $142,000 per year

Source: Indeed

Meet the Instructors

Dhruvin Parikh

Dhruvin entered the blockchain field in early 2017 and now holds the position of Senior Smart Contract Engineer at Hypotenuse Labs.

Since 2019, he has also been teaching blockchain technology at George Brown College and York University in Toronto, both of which were the first in Canada to introduce a blockchain program.

Previously, he served as CTO and Senior Blockchain Developer at Capital Methods.

David Killen

David is currently a Sr. Blockchain Engineer at TrustWallet. He’s Ex-ConsenSys/Truffle Suite & a Solicitor.

David started his career in software engineering in 1997 writing financial technical analysis software for Reuters. He then changed his career to be a commercial and intellectual property lawyer. He entered the blockchain space in 2011.

Curriculum

The Advanced Software Engineering Bootcamp is designed to empower developers with cutting-edge skills in system design, advanced algorithms, cloud computing, and microservices architecture.

This curriculum goes beyond the basics, offering hands-on experience in building scalable, high-performance applications.

Foundations of Advanced Software Engineering
(6 weeks)

Objective: Build strong fundamentals in OOP, DSA, and UML, while introducing modern web development concepts.

Week 1: Object-Oriented Programming (OOP)

  • Core Concepts: Classes, Inheritance, Polymorphism, Encapsulation, Abstraction (using Java).
  • Real-world examples: Model a Library System.
  • Introduction to TypeScript: Type safety and interfaces for modern OOP practices.

Week 2-3: Advanced Data Structures and Algorithms (DSA)

  • Arrays, strings, hash maps, linked lists.
  • Trees and graphs (DFS, BFS, shortest paths).
  • Sorting and searching (binary search, quicksort, mergesort).
  • Sliding window, two-pointer, divide and conquer techniques.
  • Recursion and dynamic programming.
  • Problem-Solving: Time and space complexity analysis.
  • Mock interview sessions focused on DSA for interviews.

Week 4-5: UML and System Modeling

UML Diagrams:

  • Structural: Class, Object, Component, Deployment.
  • Behavioral: Use Case, Activity, State.
  • Interaction: Sequence, Communication.

Other Diagrams:

  • Data Flow Diagrams (DFD).
  • Business Process Model and Notation (BPMN).
  • Hands-on activity: Create UML diagrams for a library management system.

Week 6: Modern JavaScript and Introduction to AI Integration

Advanced JavaScript (Adv JS):

  • ES6+ Features: Destructuring, promises, async/await, closures.
  • Event Loop: Understand asynchronous programming.
  • Debounce & Throttling: Optimize event handling.
  • Design Patterns: Singleton, Factory, Observer.
  • Axios: API calls with error handling and interceptors.
  • Code Splitting & Pagination: Enhance performance.

AI Meets JavaScript:

  • TensorFlow.js: Build AI models in JavaScript.
  • Hands-On: Develop an AI-powered recommendation system or chatbot.
  • Integration: Use AI in frontend and backend applications.

Advanced Software Design (6 weeks)

Objective: Master system design basics, scalable patterns, and modern architectural principles.

Week 7: System Design Basics

  • CAP Theorem: Consistency vs. Availability vs. Partition Tolerance.
  • Horizontal vs. Vertical Scaling.
  • Caching Layers: Redis, Memcached, cache invalidation strategies.
  • Database Partitioning: Sharding, replication, indexing, normalization.

Week 8: Principles of Software Design and Architecture

SOLID Principles:

  • Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, Dependency Inversion.

Design Patterns:

  • Creational: Factory, Singleton, Builder.
  • Structural: Adapter, Proxy, Decorator.
  • Behavioural: Strategy, Observer, Command.
  • Clean Architecture: Dependency inversion and modular design.

Week 9: Advanced Domain-Driven Design (DDD) and Microservices

  • Domain-Driven Design (DDD):
  • Domains, subdomains, bounded contexts, entities, value objects.
  • Microservices Architecture:
  • Service-to-service communication: gRPC, REST, message queues (Kafka).
  • API design: REST vs. GraphQL.
  • Event-Driven Design: Pub/Sub with Kafka and Redis streams.

Week 10: Modern Web Development with React and Next.js

  • React (v18 & v19): Core concepts, hooks, state management with Redux.
  • Next.js: SSR, SSG, API routes.
  • Tailwind CSS: Styling UI for modern applications.
  • Authentication and Authorization:
    • JWT, OAuth, refresh tokens, and access tokens.
    • Secure token handling between backend and frontend.

Week 11: Backend Development with Node.js and Express

Core Backend Topics:

  • Node.js and Express.js for RESTful API development.
  • Middleware, error handling, and logging.
  • Rate limiting and DDOS protection.

Database Management:

  • SQL (PostgreSQL) and NoSQL (MongoDB).
  • ORMs (Prisma, Sequelize).
  • Advanced concepts: sharding, replication, normalization.

Week 12: DevOps and Scalable System Patterns

DevOps Basics:

  • Linux fundamentals.
  • AWS services: S3, EC2, RDS.
  • Docker and Kubernetes (K8s) basics.
  • CI/CD pipelines.

Scalable System Patterns:

  • Load balancers, proxies, horizontal and vertical scaling.
  • Polling vs. Web Sockets.

Capstone Project (4 weeks)

Objective: Build a real-world, scalable application using all concepts learned.

Week 13: Planning and Design

  • Choose a Project:
    • Scalable AI-powered e-commerce platform: Incorporate product recommendations based on user behavior.
    • Real-time chat application: Integrate NLP chatbots for automated responses.
    • Video streaming platform: Utilize AI-driven content categorization or personalized recommendations.
  • Define System Requirements and Design Architecture:
    • System Design Diagrams: Create UML and DFD diagrams to visualize workflows and system components.
    • Database Schema and API Design: Plan data models and endpoints to support AI features seamlessly.

Week 14-15: Development

Frontend:

  • Build UI using React, Redux, Tailwind CSS.
  • Implement SSR/SSG with Next.js.

Backend:

  • Develop RESTful/GraphQL APIs using Node.js and Express.
  • Integrate MongoDB/PostgreSQL with ORMs.

Real-Time Features:

  • Use WebSockets for real-time communication.
  • Implement event-driven design using Kafka/Redis.

Week 16: Deployment and Testing

  • Unit Testing: Write tests using Jest for frontend and backend.
  • End-to-End Testing: Cypress/Playwright.
  • CI/CD Deployment:
    • Containerize the app using Docker.
    • Deploy on AWS/GCP with Kubernetes.
    • Present the project with complete documentation.

Additional Enhancements

  1. Regular Interview Prep: Weekly mock coding and system design interviews, including AI Problem-Solving questions on model integration, optimization, and deployment.
  2. Code Reviews: Emphasize clean, maintainable code practices with insights on AI-enhanced debugging and refactoring.
  3. AI Tools: Train students to leverage tools like GitHub Copilot, ChatGPT, Claude, and Bard for productivity and ideation.
  4. Real-World Applications: Apply design principles to practical scenarios, incorporating AI-driven solutions.

This curriculum balances foundational knowledge, modern web development skills, AI integration, and scalable system design, ensuring students are job-ready for advanced software engineering roles.

Tuition

We offer three flexible ways to help you level up your software engineering career. If you don’t secure a role upgrade within six months of graduating, we’ll give you a full refund.

This investment includes a full year of access to our course material. Additionally, the course offers live events, AMA sessions, personalized support from the instructor, and a certificate of completion for those who complete the course.

You can pay your tuition via card, bank transfer or with crypto.

APPLY BY JAN 31ST TO LOCK IN YOUR PRICE WITH 20% OFF!

Days
Hours
Minutes
Seconds

Plan I

POPULAR

$7,200 $9,000
Upfront

Or, pay $2,500 at enrollment &
$1,440 $1,800 /m for 5 months

Job Guarantee

Expert Curriculum (up-to-date, lifetime access)

On-Demand Mentor Support

Weekly 1-on-1 Code Review

Weekly Office Hours

Specialist Workshops

Jobcamp & Career Coaching (1-year)

Advisor Matching

Perks Package

Plan II

$9,360 $11,700
Upfront

Or, pay $2,500 at enrollment &
$1,840 $2,300 /m for 5 months

Everything in base plan

2 Weekly 1-on-1 Code Review Sessions

3-Year Career Support

Enhanced Advisor Matching

Enhanced Perks Package

LOW MONTHLY PAYMENT

Financed tuition loan - Apply for a loan & pay it off in installments.

$69-$214* /mo

Some students use personal loans to pay for their education. There are many personal lending options for you to research and consider.

Keep in mind that Metana does not endorse, recommend, or promote any particular lender. The payment choice is at the discretion of you, the student. If you decide to use a personal loan, make sure to choose the option that works best for you.

Below are a few options; personal loans may also be available through your personal financial institution.

Apply for a Climb Credit loan

*Range varies based on approved interest rate. You can borrow less, but need to pay the tuition difference upfront. Only available for U.S. residents.

Upcoming Cohorts

Cohort

January

Seat Availability

1/5

Cohort

February

Seat Availability

0/5

Cohort

March

Seat Availability

2/5

Cohort

April

Seat Availability

4/5

Admission Policy and Process

You have to prove your seriousness in learning and then only you are admitted to our bootcamp. This makes our admission policy as unique as our Bootcamp.

Admission Policy

  • You must be proficient in English.
  • Past achievements. We want to see that you have the perseverance to work at something until you master it. We’ll talk about these in the interview call. 
  • Prior knowledge is required, our curriculum is advanced , so having experience in software engineering will help you succeed and show us that you are committed to the subject.

Admission Process

Submit your application

Start your new career by completing our short application.

Complete the coding test

Gauges readiness for the fast-paced, intense immersive program.

The Interview call

Schedule an interview call with one of our student admissions officers

  • After you submit your application & schedule an interview call with one of our student admissions officers, You will receive an email with a link to a coding test. (dates are available within 3-7 days from the application date)
  • You need to complete the coding test within 3 days.
  • Send us an email if you need more time ([email protected])
  • Your application will be rejected if your score falls short of a predetermined level. Because we need to compare your application to those of the other applicants for the upcoming cohorts, we can’t always make a decision right away.
  • We limit cohorts to 10 students per month to ensure maximally effective learning outcomes. If you have a great application but didn’t quite make it in, we will offer to waitlist you for the upcoming month.

Career Success - Metana's JobCamp™️

Our career success team gives our students the professional skills they need for their first job and every job after. Knowing how to get a job is critical, which is why our Career Success team helps you graduate ready for the job search. And even after you graduate, our team is available to keep you motivated, prepare you for interviews, and even help you negotiate offers. Here are few things we help you with.

First Impressions
Make a brilliant first impression. LinkedIn, GitHub and Resume templates and guidance.
The Hunt
Learn to build connections, how to look for jobs, and explore starting as a freelance.
The Interview Process
Learn about both the technical and non-technical parts of an interview. How to prepare effectively.
Technical Know-How
Learn common data structures and algorithms, and describe them during a whiteboard interview. Practice coding techniques for take home assignments.

Our students work at

Frequently Asked Questions

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 CopilotChatGPTBard, 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.

Still have a question? Send us an email at [email protected]

Get a detailed look at our Full Stack Bootcamp

Understand the goal of the bootcamp

Find out more about the course

Explore our methodology & what technologies we teach

You are downloading 2025 updated Full stack Bootcamp syllabus!

Download the syllabus to discover our Full-Stack Software Engineering Bootcamp curriculum, including key modules, project-based learning details, skill outcomes, and career support. Get a clear path to becoming a top developer.

Software Engineering Syllabus Download

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