In today’s competitive tech landscape, cracking interviews at top product-based companies requires more than basic coding knowledge. Recruiters evaluate how well you think, solve problems, and design scalable systems. This is why a DSA & System Design online course has become essential for software engineers aiming for high-growth roles.
The Advanced DSA & System Design course by CodeKerdos helps learners move from core problem-solving concepts to building scalable, real-world systems. Whether you are a student, a working professional, or someone preparing for advanced technical interviews, this program equips you with deep algorithmic thinking, system design excellence, and interview confidence
Modern software engineering interviews go far beyond writing code that works. Companies expect engineers to:
The Advance DSA & System Design program at CodeKerdos is built for learners who want mastery—not shortcuts. This course focuses on:
If you are starting your journey in software engineering, this course builds your foundation from the ground up—covering recursion, complexity analysis, and core data structures before moving to advanced topics.
For professionals aiming to switch jobs or move into product-based companies, this program offers a structured learning path, live sessions, recordings, and mentorship that fits into busy schedules.
If system design rounds feel overwhelming, this advanced system design course online trains you to design real-world architectures confidently.
You will master sorting, searching, recursion, linked lists, stacks, queues, and complexity analysis—core to cracking DSA interviews.
Learn how to design APIs, databases, and scalable architectures inspired by companies like Netflix, Uber, Amazon, Twitter, WhatsApp, and YouTube.
Leverage AI tools for coding practice, optimization, and AI‑powered mock interview simulations—an edge most traditional programs lack.
The curriculum follows a clear progression from fundamentals to advanced system architecture, ensuring zero learning gaps.
Hands‑on system design projects simulate real engineering challenges faced by tech giants.
With expert mentorship and mock interviews, learners develop clarity, confidence, and decision‑making skills required for high‑stakes interviews.
This case study explores Twitter's high-level design. It investigates how to handle high read/write throughput, optimize feed generation, manage notifications and address challenges like hashtag management. It emphasizes on designing a core system, managing data, and developing a strong caching strategy.
This case study explores the high-level design of Instagram. It investigates how to handle petabytes of data, scaling image and video storage, designing news feeds and timelines, and optimizing user engagement. It emphasizes on designing core systems, storing media, and developing a strong caching strategy.
This case study explores the high-level design of a popular messaging platform that facilitates real-time communication. It investigates how to handle message delivery across diverse devices, this challenges addressed include offline message handling, media file transmission, and a user system powered by reliable offline storage for users.
This case study examines digital collaboration platforms like Slack and Discord. It investigates how to handle real-time messaging, how to include scaling live chat systems and building a solid data model. It emphasizes on a reliable under heavy loads.
This case study covers the end-to-end video platform design. It investigates how to handle a large number of video recommendations. It emphasizes challenges like video encoding, data transfer, and optimization of video streaming along with millions of queries.
This case study investigates personalized content delivery through a subscription plan. It emphasizes on data management, high availability, ensuring smooth streaming across devices and geo-distributed delivery on a global scale.
Each project follows a 7-step system design framework, preparing learners for real interview scenarios
Completing this DSA & system design online course prepares you for roles such as:
Although fully online, the course is trusted by learners from Bangalore, Gurugram, Noida, Hyderabad, Chennai, Mumbai, and other tech hubs. Its interview-aligned curriculum and mentorship-driven approach make it one of the best DSA and System Design courses in India.
If you are serious about cracking technical interviews and building scalable systems, enrolling in a DSA & System Design online course like CodeKerdos’ Advance DSA & System Design program can be a career-defining decision. With a structured curriculum, real-world system design case studies, AI-enhanced problem-solving, and expert mentorship, this course prepares you to compete confidently in today’s tech-driven hiring landscape. Whether you are a beginner, a working professional, or preparing for your next big job switch, now is the right time to invest in the skills top companies demand. 👉 Explore the complete course details, download the brochure, and start your Advance DSA + System Design journey with CodeKerdos today.
Before joining CodeKerdos, I was looking for a structured path to strengthen my problem-solving and system design skills. The Advanced DSA + System Design program helped me think differently, approach problems strategically, and gain deep clarity on concepts that are critical for top-tier interviews. The structured curriculum, real-world case studies, and personalized mentorship prepared me step by step for challenges I would face in interviews. The mock interview sessions and continuous feedback gave me the confidence to perform at my best.
With this guidance and support, I achieved my dream of getting placed at Microsoft. I am truly grateful for the journey, the mentors, and the community at CodeKerdos that made it possible.
Absolutely. The structured format, recorded sessions, and mentorship support make it ideal for working professionals.
Yes. The program includes high-level design, real-world case studies, and mock interview simulations.
CodeKerdos combines algorithmic depth, system design mastery, AI-enhanced learning, and mentorship, making it interview-focused rather than theory-heavy.
