Software System Design : HLD, LLD, Design Patterns & Mock Interviews.
Self-paced software system design course for candidates targeting system design interviews at top tech companies. Taught by senior engineers from Google, Microsoft, and Amazon, with 1-year access, weekly doubt-clearing classes, coding test prep, and community/GitHub support.
What you'll learn
- Targeted at system design interviews for companies like Microsoft, Google, Meta, Amazon, Adobe
- Taught by a Google tech lead, Microsoft engineering manager, and Amazon SDE3 with 15+ years experience
- 1 year access with dynamically updated content
- Crack internal coding tests with focused preparation
- Weekly doubt-clearing classes with instructors
- Offered by leads and architects from Google and Microsoft
- Student community and GitHub code review support
Skills you'll gain
- Understand high-level system design (HLD) concepts and patterns
- Practice low-level design (LLD) with real-world examples
- Apply design patterns such as factory, abstract factory, singleton, decorator, state, builder, adapter, bridge, and chain of responsibility
- Design scalable systems like Twitter, messaging services, Google Calendar, Uber, hotel booking, e-commerce, and car rental
- Grasp core topics like caching, sharding, consistent hashing, CAP theorem, SQL vs NoSQL, queues, RabbitMQ, Kafka, and pub/sub
- Improve performance, security, encryption and decryption understanding in system design
- Prepare for internal coding tests and system design interview questions
- Gain experience with practical LLD implementations such as chess, logger, parking lot, notification service
Prerequisites
- • Basic software development experience (implied)
- • Familiarity with coding and common engineering concepts (implied)
Who this course is for
- → Candidates targeting system design interviews at top tech companies (Microsoft, Google, Meta, Amazon, Adobe, etc.)
- → Software engineers preparing for HLD and LLD interview rounds
- → Developers seeking guidance from senior leads and architects at big tech
Our Review
Learn A Course Online EditorialBottom Line
A dense, interview-focused system design course taught by actual FAANG engineers—strong on breadth and mentor access, but the lack of a stated duration and sparse review count means you're placing a bet on the instructors' credibility more than the platform's track record.
📊 Course Snapshot
📝 Editorial Analysis
Let me be honest about what this course is and isn't. It's not a gentle intro to software engineering. It's a targeted prep system—almost a coaching program—built specifically for engineers who are already writing code professionally and now need to survive the system design gauntlet at Microsoft, Google, Meta, Amazon, or Adobe. That's a narrow brief, and from what the curriculum shows, Expertifie mostly sticks to it.
The instructor lineup is the real selling point here. A Google tech lead, a Microsoft engineering manager, and an Amazon SDE3—all with 15+ years of experience. That's not a stock-photo credentials list. Those are people who have run the interviews you're trying to pass. I've seen too many system design courses taught by folks who learned the material in order to teach it. This one has the receipts.
The curriculum coverage is genuinely wide. On the HLD side: caching, sharding, consistent hashing, CAP theorem, SQL vs. NoSQL, Kafka, RabbitMQ, pub/sub—the full stack of topics that show up in senior-level rounds. On the LLD side: design patterns (factory, singleton, decorator, state, builder, adapter, bridge, chain of responsibility) paired with real-world implementations like a chess game, parking lot, logger, and notification service. That combination—theory plus concrete implementation—is exactly how you actually learn to think in these interviews.
A few honest caveats. The 4.91 rating is impressive, but 66 reviews is a small sample. A course can hold a near-perfect score at that volume and still have a rough edge or two that just hasn't surfaced yet. And the duration is unlisted—which, for a self-paced course, is a real friction point. I don't know if you're looking at 20 hours or 60. That matters when you're scheduling around a job and an interview pipeline.
What I genuinely like: the weekly doubt-clearing sessions and GitHub code review support. Those aren't decorative features. They're the difference between a student who gets stuck on a design question at 11pm and gives up, versus one who posts a question and gets a real answer. That feedback loop is what makes prep programs work. The 1-year access with dynamically updated content is also a smart call—system design interview expectations shift, and a course that can update is worth more than one that's frozen at its launch date.
Bottom line on fit: if you're an engineer with a few years of experience who has an interview loop at a top-tier company coming up—or who's actively building toward one—this is a serious, well-credentialed option. If you're a beginner who just wants to learn software architecture broadly, this will feel like drinking from a firehose. It's built to get you through a specific door. Know which door you're knocking on.
⏱️ Real Time Investment
N/A
Listed Duration
~40–60h
Realistic Estimate
52 wks
Access Window
Duration is unlisted—a real gap. Given the scope (HLD, LLD, 9+ design patterns, 6+ system design case studies, coding test prep, and weekly live sessions), I'd budget at least 40–60 hours of active engagement, not counting your own practice sessions and mock interviews. If you're 8 weeks out from an interview loop, that's roughly 5–7 hours per week. Doable, but not casual.
🎯 Skills You'll Build
⚠️ Who Should Probably Skip This
- Complete beginners to software development — the implied prerequisites are real, and there's no hand-holding at the fundamentals level.
- Anyone who needs a firm time estimate before committing — the unlisted duration is a genuine planning problem.
- Learners who want a broad software architecture education without the interview-specific framing.
✓ Strengths
- Instructors are active senior engineers from Google, Microsoft, and Amazon—not just people who studied the material to teach it, which makes the interview-specific advice credible and current.
- Covers both HLD and LLD in genuine depth, including 9+ named design patterns with practical implementations (chess, parking lot, logger)—not just theory slides.
- Weekly live doubt-clearing sessions and GitHub code review support create a real feedback loop that most self-paced courses skip entirely.
- 1-year access with dynamically updated content means the material can keep pace with shifting interview expectations at top-tier companies.
- Case studies span recognizable real-world systems—Twitter, Uber, Google Calendar, hotel booking—which mirrors exactly how these interview rounds are structured.
✗ Limitations
- Course duration is completely unlisted, making it very hard to plan a realistic study schedule around an active job and an upcoming interview timeline.
- Only 66 reviews—a near-perfect rating is encouraging, but the sample size is too small to confidently rule out rough edges in content quality or pacing.
- The course is tightly scoped to interview prep; engineers who want deeper architectural thinking or production system experience will find the framing limiting.
- No pricing information is publicly visible, which adds friction to the decision—you can't quickly compare value against alternatives without an extra step.
🎯 Bottom line: If you're a working engineer with a FAANG-tier interview loop on the horizon, this is one of the more credible prep options available—just go in with eyes open about the unlisted duration and the still-small reviewer base.
Provider
Expertifie
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