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Study programs designed by MAANG tech recruiters and software engineers
The study program for the London Institute of Technology’s Algorithms & System Design course is designed by Meta, Amazon, Apple, Netflix, & Google (MAANG) software engineers. Bringing together insights and expertise directly from the forefront of global technological innovation at the top tech giants, the program offers learners a direct and lower-risk path to a rewarding tech job.
OVERVIEW

Pass Tech Interviews & Launch Your Career at Top Tech Companies

Learn how to develop scalable software systems and enhance code quality, skills that are invaluable for excelling in technical interviews across organizations of various sizes.
Study program designed by Meta, Amazon, Apple, Netflix and Google (MAANG) software engineers
Course instructed by a Software Engineer at Amazon - Giga Aptsiuari
Fully customisable learning schedule with live & recorded classes
A dedicated teaching assistant reachable 24/7 for a 1:1 online meet
24-Module Career Development Program designed by MAANG engineer & tech recruiters
Job guarantee - You will get 1:1 career support until you land a well-paying job
The program, instructed by Giga Aptsiuari, a Software Engineer with over 6 years of industry experience, runs for 8 months, 2 days a week, providing 4 hours of instruction per day.

You will learn all the essential skills required for accelerated career advancement in software engineering.

By the end of the course you will have the precise skills that employers seek.

Course Instructor:
Giga Aptsiuari, Software Engineer at
INDUSTRY

The Ideal Choice For
The Full-Stack

In recent years, Full-Stack Web Development has emerged as one of the most growing and promising industries. The React library, which was created by Facebook in 2011 and made open-source in 2013, played an important role in all of this. Today, React technology is the most popular and actively used in frontend web development, and most importantly, it is one of the highest paying areas in software development. While, the backend Node.js, being one of the most popular framework choices for developers to build a flexible and scalable backend, due to its event-driven, non-blocking nature. The ideal choice for the full-stack, the combination of React and Node allows developers to build dynamic, large, data-driven web apps that are responsive across multiple devices.
What you’ll learn in this software engineering bootcamp
We looked at what leading employers need from entry-level developers and engineers, then had software engineers from Meta, Amazon, Apple, Netflix & Google design our Full Stack Web Development curriculum, so you acquire the skills and knowledge demanded by the industry's forefront and graduate ready to work.
EXPLORE COURSE SYLLABUS
Topic 1: Foundations of Data Structures & Algorithms
This section lays the foundation for understanding Python programming, algorithm efficiency, and basic data structures. It's essential for grasping the complexities of more advanced topics in the course.
Begin with core Python programming concepts crucial for advanced learning, including an introduction to arrays, strings, dictionaries, and recursion.
Learn to analyze the time and space complexity of algorithms, a key skill in evaluating their efficiency.
Understand fundamental data structures and their applications in software development.
Topic 2: Intermediate Data Structures & Algorithm Techniques
This module delves into sorting and searching algorithms, matrix operations, and the practical use of queues and stacks, enhancing your ability to organize and retrieve data efficiently.
Explore critical sorting and searching algorithms for effective data organization and retrieval.
Gain proficiency in matrix operations, vital for handling multi-dimensional data.
Learn about the implementation and applications of stacks and queues.
Topic 3: Advanced Data Structures
Providing an in-depth look at trees, graphs, and their related concepts, this module equips you with the knowledge to perform complex operations on various advanced data structures.
Master the intricacies of trees and graphs, including binary trees and binary search trees (BSTs).
Understand foundational graph theory concepts and their practical applications.
Develop advanced skills in linked list operations and efficient data retrieval using tries.
Topic 4: Specialized Algorithmic Strategies
This module introduces dynamic programming and other advanced techniques, enhancing your skills in solving complex computational problems.
Learn dynamic programming to break down complex problems into simpler sub-problems.
Acquire techniques for bit manipulation and managing overlapping intervals.
Tackle algorithms that require mathematical and geometric computations.
Topic 5: Comprehensive Problem Solving
Focused on hands-on problem-solving, this section helps solidify your understanding of data structures and algorithms through practical application.
Apply learned data structures and algorithms in solving a range of practical problems.
Enhance problem-solving skills with exercises varying from easy to hard difficulties.
Reinforce core concepts and techniques through extensive practice.
Topic 6: Introduction to System Design
Starting with system design basics, this module covers fundamental principles, balancing performance and scalability, and various design strategies.
Understand the basics of system design, including performance vs scalability and latency vs throughput.
Explore different consistency models, availability strategies, and data replication methods.
Learn about the CAP theorem and its implications in system design.
Topic 7: Advanced System Design Concepts
Delving into networking, cloud services, and database management, this module prepares you for complex system design scenarios.
Gain insights into DNS, CDNs, load balancers, and major cloud platforms like AWS, Azure, and Google Cloud.
Compare and contrast SQL vs NoSQL databases, understand microservices and service discovery.
Learn about caching strategies, managing asynchronous operations, and network communication protocols.
Topic 8: Practical System Design and Security
This part provides a real-world perspective on system design, covering practical examples, security considerations, and communication protocols.
Analyze real-world system designs such as online libraries, URL shorteners, and Instagram Live.
Understand fundamental security considerations in system design.
Learn about communication protocols like HTTP, TCP, UDP, RPC, REST, and gRPC, and strategies for reliability and consistency in systems.
CURRICULUM
What you’ll learn in this Algorithms & System Design bootcamp
We looked at what leading employers need from software engineers, then had expert software engineers from Meta, Amazon, Apple, Netflix & Google design our Algorithms & System Design curriculum, so you acquire the skills and knowledge demanded by the industry's forefront and graduate ready to work.
EXPLORE COURSE SYLLABUS
Topic 1: Foundations of Data Structures & Algorithms
This section lays the foundation for understanding Python programming, algorithm efficiency, and basic data structures. It's essential for grasping the complexities of more advanced topics in the course.
Begin with core Python programming concepts crucial for advanced learning, including an introduction to arrays, strings, dictionaries, and recursion.
Learn to analyze the time and space complexity of algorithms, a key skill in evaluating their efficiency.
Understand fundamental data structures and their applications in software development.
Topic 2: Intermediate Data Structures & Algorithm Techniques
This module delves into sorting and searching algorithms, matrix operations, and the practical use of queues and stacks, enhancing your ability to organize and retrieve data efficiently.
Explore critical sorting and searching algorithms for effective data organization and retrieval.
Gain proficiency in matrix operations, vital for handling multi-dimensional data.
Learn about the implementation and applications of stacks and queues.
Topic 3: Advanced Data Structures
Providing an in-depth look at trees, graphs, and their related concepts, this module equips you with the knowledge to perform complex operations on various advanced data structures.
Master the intricacies of trees and graphs, including binary trees and binary search trees (BSTs).
Understand foundational graph theory concepts and their practical applications.
Develop advanced skills in linked list operations and efficient data retrieval using tries.
Topic 4: Specialized Algorithmic Strategies
This module introduces dynamic programming and other advanced techniques, enhancing your skills in solving complex computational problems.
Learn dynamic programming to break down complex problems into simpler sub-problems.
Acquire techniques for bit manipulation and managing overlapping intervals.
Tackle algorithms that require mathematical and geometric computations.
Topic 5: Comprehensive Problem Solving
Focused on hands-on problem-solving, this section helps solidify your understanding of data structures and algorithms through practical application.
Apply learned data structures and algorithms in solving a range of practical problems.
Enhance problem-solving skills with exercises varying from easy to hard difficulties.
Reinforce core concepts and techniques through extensive practice.
Topic 6: Introduction to System Design
Starting with system design basics, this module covers fundamental principles, balancing performance and scalability, and various design strategies.
Understand the basics of system design, including performance vs scalability and latency vs throughput.
Explore different consistency models, availability strategies, and data replication methods.
Learn about the CAP theorem and its implications in system design.
Topic 7: Advanced System Design Concepts
Delving into networking, cloud services, and database management, this module prepares you for complex system design scenarios.
Gain insights into DNS, CDNs, load balancers, and major cloud platforms like AWS, Azure, and Google Cloud.
Compare and contrast SQL vs NoSQL databases, understand microservices and service discovery.
Learn about caching strategies, managing asynchronous operations, and network communication protocols.
Topic 8: Practical System Design and Security
This part provides a real-world perspective on system design, covering practical examples, security considerations, and communication protocols.
Analyze real-world system designs such as online libraries, URL shorteners, and Instagram Live.
Understand fundamental security considerations in system design.
Learn about communication protocols like HTTP, TCP, UDP, RPC, REST, and gRPC, and strategies for reliability and consistency in systems.
LEARNING SCHEDULE

Customise your learning schedule with live and recorded classes.

The London Institute of Tech’s Algorithms & System Design program is a live course, online, that adjusts to your schedule and your pace. Combined with hands-on experience, on-demand learning, and personalised support, you get education that truly works.
How you complete our 192-hour course is up to you.
• Choose from live classes 2 days a week or access recorded classes at your convenience
• Study at your pace with live and recorded classes and graduate in 8-18 months
• Work with a team to develop real products, on your schedule
• Tap into the academic and career support for assistance and guidance, anytime

Getting and staying “in the zone” exponentially improves learning rates, skill acquisition, creativity, and productivity. Our flexible, fully supported experience empowers you to hit—and maintain—a flow state for maximum learning.
A PERSONAL TEACHING ASSISTANT

Unparalleled Academic Support

You will have a dedicated teaching assistant from Day 1, reachable 24/7 for a 1:1 online meet, ready to clarify any topic-related questions or explain the entire topic from scratch.
ACADEMIC SUPPORT

Readily Accessible Learning Materials

You will have access to all the course materials, including lecture slides, exercises, projects, Zoom recordings of lectures, workshops, and code reviews, on Google Classroom. Plus, Slack to network with your lecturer, and course mates.
CAREER SUPPORT

Career Development Program

Concurrent with your coding training, you will undergo a 24-module Career Development Program, designed by Meta, Amazon, Apple, Netflix & Google (MAANG) software engineers and tech recruiters. The program will equip you with all the essential employment tools and skills, enabling you to crush any technical or preliminary interviews.

Behavioural & technical interview preparation
Career development modules:
LinkedIn, CV/Resume, Salary Negotiation, Mock Interviews...
Personalized career mapping and pathfinding
Access to our extensive network of employers & recruiters

A JOB GUARANTEE

A Job Guarantee & Personal Career Manager

Upon graduation, you will benefit from a Job Guarantee, which is included in the contract. You will get 1:1 career support until you land a well-paying job. We’ll help you apply for jobs + prep for interviews.
Dashboard mockup
Tuition options

3 ways to invest in your future

We want to help talented professionals break into tech as soon as possible. Therefore, we provide various payment options to make this opportunity accessible to everyone.

Financed
Tuition Loan

Up to 36 months to pay
£7,500 + varying bank interest fee.

Low monthly payments may alleviate your financial burden, but banks will apply extra interest.
Apply now

Better, faster, cheaper than traditional career paths

London Institute of Technology (LIT)
Universities
Bootcamps
Duration
8 months
36 months
12 months
Personal career coach
Dedicated teaching assistants with
1-on-1 guidance
Job guarantee
Project-based curriculum with modern technologies and skills
Admission

How to apply to our Algorithms & System Design bootcamp

Our admission process is easy and straightforward!

Apply. No prerequisites

This Algorithms & System Design course is designed for those who already have some experience in coding and are familiar with JavaScript, or other languages such as Python, C#, or frameworks like React or Angular. Fill out the registration form and accelerate your tech career!

Interview with our career advisor

Once you submit your application, we'll get back to you to arrange a 30-minute virtual consultation. During this session, we'll discuss your career goals, preferences, and how we could help you.

Reserve your spot. Tuition Options.

In the final stage, we'll help you identify a payment option that works best for you. After which, you'll get access to the learning environment with resources, and start your tech journey 🎉
FAQ

Frequently asked questions

Everything you need to know about the LIT's web development course.
Will I receive a certificate upon course completion?
Yes! After successfully completing the course and all projects, you'll receive a signed certificate of completion. This certificate has aided thousands of LIT graduates in showcasing their skills to potential employers and their LinkedIn network.
Is this course 100% online?
Absolutely. All courses offered by the London Institute of Technology (LIT) are fully online, providing you the flexibility to learn at your convenience, day or night. Each lecture is recorded, ensuring you won't miss anything even if you can't attend a live session.

Our online learning doesn't mean you're on your own. LIT guarantees comprehensive support for your success journey. This includes individual guidance from an experienced mentor, a career coach to aid you in securing your dream job, and a student advisor for course-related concerns. You'll also connect with other motivated students who are on the same journey, providing mutual support and growth.
What is the duration of the course?
Our intensive Full-stack Web Development and Back-end Software Engineering bootcamp can transform you into a qualified professional in as little as 8 months, given you devote up to 20 hours weekly. The curriculum is carefully designed to equip you with the skills sought after by employers; all you need is dedication and hard work.
Can you explain the admission process?
Step 1: Application Submission
Our web development course is beginner-friendly and requires no prior knowledge or experience. Simply complete the registration form to start your tech career!

Step 2: Consultation with Admissions
Post-application submission, we'll schedule a virtual consultation lasting approximately 30 minutes. This session will focus on discussing your career objectives and how LIT can assist you in achieving them.

Step 3: Assessing Skills & Finalizing Payment Options
Subsequently, you'll receive a skills survey to ascertain your existing knowledge level. This helps us tailor your learning path for optimal success. Regardless of your experience level, we have a plan for everyone. We'll also assist you in identifying the most suitable payment option.

Step 4: Secure Your Spot
Once the payment plan is decided, you'll gain access to the learning environment and resources, marking the beginning of your tech journey.

Please note, admission to LIT's courses is competitive and spots are not guaranteed until the chosen payment plan is fulfilled.
Are there any prerequisites for admission?
LIT's courses are inclusive and require no prerequisites. The syllabi are beginner-friendly, catering to those with zero prior coding experience or skills.
What is included in the tuition fee?
Your tuition encompasses more than just course content; it's designed to bolster your impact in your future role. This includes:

- An comprehensive course led by expert lecturers from MAANG - Microsoft, Apple, Amazon, Netflix, and Google - companies.
- Individualized mentorship from teaching assistants. Two teaching assistants available per course.
- Creation of multiple projects to enhance your portfolio.
- Access to an exclusive community of mentors, career coaches, and fellow students.
- Support from community managers for administrative and organizational queries.
- Personalized feedback for refining your resume, portfolio, and social profiles.
- One-on-one sessions with a career coach to strategize your job-search and perfect your pitch.
- Extensive interview preparation through one-on-one mock interviews.
- LIT's Job Guarantee, ensuring you land a job within three months of completing the course. Terms apply.
What type of support can I anticipate?
At LIT, we believe in the power of connections and consistent support. Throughout your course, you'll receive guidance from:

- Your Lecturer: They provide assistance when you're stuck and offer comprehensive feedback on each project and assignment.
- Teaching Assistants: Experts who will guide you through regular one-on-one video calls.
- Your Career Coach: Assistance with CV review, mock interviews, job search strategy, and more.
- Student Advisor: There to help with any questions, discuss goals, and provide tips and support on any aspect of the program.
- Your Classmates: Collaborate on projects, form study groups, and provide each other with feedback.
Could you explain the LIT Job Guarantee and its eligibility criteria?
To fully understand the terms of the job guarantee, you can request to read the full terms by contacting our admissions team at info@londoninstitute.io or call at +44 330 818 8909.
How are the tuition payments structured?
We provide various payment options, all of which include the LIT Job Guarantee (subject to meeting certain requirements).

- Upfront Payment Discount
- Monthly Instalments: Pay an upfront deposit and monthly payments over certain period of time, providing interest-free flexibility.
- Financed Tuition Loan: Full tuition fee with added interest.

To learn more, visit the Tuition section on this page, email our admissions team at info@londoninstitute.io, or call us at +44 330 818 8909.

Still have questions?

Can’t find the answer you’re looking for? Please chat to our expert team members.

Apply for Algorithms & System Design Course

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Balance your full-time duties with flexible, career-changing course
Accelerate your career development
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