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Software Engineering Career Accelerator

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
22 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

Timothy Liu

Timothy Liu is a seasoned software engineer currently working at Google, specializing in large-scale distributed systems within the Google Cloud Platform.

With over 15 years of industry experience, he has contributed to major technology companies including Amazon and Microsoft, gaining a well-rounded expertise in software design and development.

In addition to his engineering roles, Timothy is an accomplished technical author and educator, having authored official Microsoft-certified courseware and reached millions of learners worldwide through his online courses.

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.

Data Structure & Algorithm

Objective: The goal of this Data Structures & Algorithms (DSA) course is to prepare students/candidates for coding interviews at major tech companies.

Week 1: Coding Foundations & Debugging

  • Coding Habit and Style – Introduce style guides, naming conventions, and basics of time and space complexity.
  • Debugging – Practice IDE debugging, error reading, and naked-eye debugging.
  • Interview Pitfalls – Learn and track common coding interview mistakes.

Week 2 : Core Data Structures

  • Arrays & Patterns – Cover 1D/2D arrays, loops, two pointers, and sliding window.
  • Recursion – Understand recursive thinking and stack overflow issues.
  • Thinking Models – Practice top-down, bottom-up, and recursive-to-iterative conversion.
  • Sorting & Searching – Master sorting techniques and binary search.
  • Lists – Learn differences and uses of ArrayList and LinkedList.

Week 3 : Advanced Data Structures

  • Stacks & Queues – Implement stack, queue, and priority queue.
  • Hashing – Use sets, maps, and hashing techniques.
  • Trees – Understand tree structures, BSTs, and tries.
  • Graphs – Explore BFS, DFS, backtracking, and ~15 core graph algorithms.

Week 4 : Mastering Your Tools

  • Problem Solving Paradigms – Apply greedy, divide and conquer, and dynamic programming.
  • Deep Dives – Solve classical problems for each DSA topic.
  • Array Mastery – See how arrays apply across all problem types.
  • Code Quality – Compare good vs bad code through real examples.

System Design Interview (4 weeks)

Objective: To provide a thorough understanding of system design principles, common patterns (including distributed and microservice-specific), and best practices, enabling students to confidently tackle complex system design interview questions.

Week 5: System Design Fundamentals & Interview Prep

  • Interview Mindset – Learn the structure of system design interviews and master whiteboarding, time management, and frameworks.
  • Design Thinking – Break down problems using functional and non-functional requirements.
  • Networking Basics – Understand protocols, latency, bandwidth, and client-server models.
  • Distributed System Core – Get familiar with consistency, availability, and partitioning (CAP theorem, etc.).

Week 6: Data, APIs & Middleware

  • Database Design – Learn data modeling, relational vs non-relational types, and horizontal/vertical scaling.
  • API Design – Master REST, gateways, and API lifecycle best practices.
  • Middleware – Explore roles of middleware, their types, functions, and how they fit into scalable systems.
  • Integration Awareness – Learn the hidden complexities in integrating components via APIs and middleware.

Week 7: Microservices & Communication Patterns

  • Monolith to Microservice – Compare architecture styles and dive into service decomposition.
  • Communication Patterns – Synchronous vs asynchronous, queues, event-driven models.
  • Integration & Messaging – Learn message brokers, pub/sub, and how services coordinate.
  • Common Challenges – Handle service discovery, deployment, versioning, and data consistency.

Week 8: Scaling Systems & Case Studies

  • Resilience & Security – Build fault-tolerant systems with retries, fallbacks, circuit breakers, and secure patterns.
  • Scalability Models – Understand vertical vs horizontal scaling, load balancing, and caching.
  • Case Study Deep Dives – Design systems like Twitter, Uber, Dropbox, and Stripe.
  • Pattern Mastery – Apply learned patterns to abstract, multi-component systems and optimize trade-offs.

Behavioral Question (4 weeks)

Objective: To equip software engineers with the principles, strategies, and practical skills to confidently and effectively answer behavioral interview questions, showcasing their competencies, experiences, and cultural fit.

Week 9: Behavioral Interview Basics

  • Interview Mindset – Learn how behavioral interviews are structured and evaluated. automated responses.
  • The STAR Method – Master Situation, Task, Action, and Result to structure your answers clearly.
  • Story Bank Building – Start compiling relevant real-life examples to use across different question types.

Week 10: Engineering Communication & Collaboration

  • Communication Skills – Practice clear and concise speaking tailored to technical audiences.
  • Teamwork in Engineering – Learn how to highlight collaboration, empathy, and shared ownership.
  • Project Navigation – Share examples of managing ambiguity, timelines, and software lifecycle phases.
  • Leadership & Influence – Showcase stories of driving impact, even without formal authority.

Week 11: Behavioral Strategy Mastery

  • Question Patterns – Explore common behavioral categories (conflict, ownership, failure, etc.).
  • Strategic Responses – Learn frameworks to match your story with what the question really tests.
  • Tailored Answers – Customize your responses to reflect company values and mission.

Week 12: Polishing & Practice

  • Insightful Questions – Prepare thoughtful questions that demonstrate curiosity and alignment.
  • Mock & Feedback Loops – Practice full mock sessions and refine your answers based on critique.
  • Clarity & Confidence – Focus on tone, delivery, and pacing to make your stories impactful.

 

Java Advanced OOD (4 weeks)

Objective:

To equip students with advanced OOD principles and patterns, enabling them to design elegant, efficient, and maintainable Java applications and excel in technical interviews.

Week 13: OOD Foundations in Java

  • Abstraction & Encapsulation – Understand abstract classes vs interfaces and design clear public APIs.
  • Inheritance & Polymorphism – Learn composition over inheritance and flexible design via polymorphism.
  • Association & Aggregation – Grasp class relationships, multiplicity, and cohesive designs.
  • Immutability – Explore benefits and implementation of immutable objects in Java.

Week 14: SOLID Principles in Practice

  • Single Responsibility Principle (SRP) – Identify responsibilities and refactor for cohesion.
  • Open/Closed Principle (OCP) – Design for extension using abstraction and polymorphism.
  • Liskov Substitution Principle (LSP) – Avoid misuse of inheritance and ensure correct substitutability.
  • Interface Segregation Principle (ISP) – Keep interfaces small and client-specific.
  • Dependency Inversion Principle (DIP) – Invert control using abstractions and basic dependency injection.

Week 15: Design Patterns Deep Dive

  • Creational Patterns I & II – Learn Singleton, Factory, Abstract Factory, and Builder patterns.
  • Structural Patterns I & II – Apply Adapter, Decorator, Facade, and Proxy for flexible structure.
  • Behavioral Patterns I–III – Use Strategy, Observer, Command, Template Method, State, and Iterator.

Week 16: OOD Interview Preparation

  • Interview Approach – Use a 4-step method to tackle OOD questions with clarity.
  • Component Design – Break down real-world systems and apply learned principles.
  • Design Justification – Practice articulating design choices and trade-offs.
  • Mock Interviews I & II – Solve design prompts like Vending Machine and Online Chess Game.
  • Pitfalls & Best Practices – Avoid over-engineering, handle ambiguity, and manage interview time.

Tuition

Plan I

POPULAR

$7,500 $9,400
Upfront

Or, pay $2,000 at enrollment &
$1,272 $1,590 /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 &
$1,592 $1,990 /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

June

Seat Availability

1/5

Cohort

July

Seat Availability

3/5

Cohort

August

Seat Availability

3/5

Cohort

September

Seat Availability

3/5

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 Software Engineering Career Accelerator 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 Advanced Software Engineering Bootcamp syllabus!

Download the syllabus to discover our Advanced 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 Career Accelerator Bootcamp Syllabus Download

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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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