Enrollments Open
September 2026 Cohort
30 seats only

Design systems
that scale.
Build AI-native.

A small, mentor-led cohort by a Senior Architect with 18+ years building distributed systems on Oracle Cloud and AWS. This is my first public cohort — intentionally kept to 30 seats so you get real access, not a mass course.

18+
Years in production
30
Seats — this cohort
Sep '26
Cohort starts
Who is this for?
Mid-level engineers targeting senior / staff roles Engineers preparing for system design interviews Practitioners wanting to build AI-native systems
Bipin Kumar
Bipin Kumar
Senior Architect · Distributed Systems · AWS
Oracle Cloud AWS 18+ Years iPaaS System Design AI Architecture Integration
LinkedIn
Bipin Kumar
Senior Architect · Distributed Systems
Distributed Systems · 18+ Years

Bipin Kumar

Senior Architect · Distributed Systems · Integration · AI

I'm a Senior Architect specialising in distributed systems and integration architecture, with 18+ years building at enterprise scale on Oracle Cloud and AWS. I've turned complex monolithic systems into event-driven microservices across fintech, healthcare, and enterprise software.

18+ years in production. I've shipped systems that handle millions of transactions, reviewed hundreds of architecture decisions, and seen firsthand what breaks at scale. Everything I teach comes from that, not from a textbook.

"This is my first public paid cohort. I've privately taught 4 engineers — all got real value from the sessions. I'm not going to claim otherwise. What I can offer is direct access to someone actively working in the field, with no filler content."

I'm keeping this batch to 30 seats intentionally. Small enough that I know every student by name, can answer questions in real time, and can iterate on the curriculum based on what's actually useful. You're not buying a recorded course — you're getting a practitioner who shows up live.

Experience at
Oracle AWS Société Générale
Curriculum

Two modules.
One complete path.

System Design from production experience. AI Architecture from someone building it. Taught live, in a small batch.

September 2026 Cohort — Enrollments Open

Live mentor-led sessions · Limited to 30 seats · First public cohort

Sep '26
Start date
9–12 AM
Every weekend
20
Weeks
30
Seats total
🤖

AI-Native Systems & Architecture

LLMs · RAG · Agents · Production AI · 10 Weeks

Go beyond prompt engineering. Learn to architect production-grade AI systems — RAG pipelines, agentic workflows, vector search, and enterprise AI integration — from someone actively building them.

LLM Foundations
Transformer ArchitectureTokens & Context WindowsModel FamiliesInference Trade-offs
RAG Systems
EmbeddingsChunking StrategiesRetrieval PipelinesHybrid SearchRe-ranking
AI Agents
Tool Use & Function CallingAgentic WorkflowsMulti-Agent OrchestrationMemory Patterns
Vector Databases
PineconeWeaviatepgvectorFAISSANN Indexing
AI API & Integration Design
Streaming APIsAsync InferenceWebhook PatternsRate Limiting for AI
Production AI
Eval FrameworksHallucination MitigationObservabilityCost OptimisationGuardrails
AI-Native Microservices
Event-Driven AI PipelinesQueue-Based InferenceSidecar PatternsAsync Workflows
Enterprise AI Integration
iPaaS & AIEnterprise AI PatternsConnecting LLMs to Enterprise SystemsData Governance
Case Studies
AI-Powered SearchDocument IntelligenceCode Assistant ArchitectureConversational Agents
🏗️

System Design

Real-World Architecture · Distributed Systems · 10 Weeks

Design scalable, fault-tolerant distributed systems through real-world case studies from someone who has built them in production at Oracle Cloud and AWS — not from a textbook.

Foundations
Scalability PrinciplesCAP TheoremLatency vs ThroughputLoad Balancing
Storage & Databases
SQL vs NoSQLShardingReplicationIndexingCaching (Redis)
Distributed Systems
MicroservicesMessage QueuesEvent-Driven DesignService DiscoveryAPI Gateway
Reliability & Scale
Consistent HashingRate LimitingCDNDistributed TracingChaos Engineering
Real-World Case Studies
Design URL ShortenerDesign TwitterDesign NetflixDesign UberDesign WhatsAppSearch Autocomplete
Cloud & Production
Oracle Cloud PatternsAWS ArchitectureCI/CD PipelinesObservabilityCost Optimisation
Teaching Style

See it before you commit.

Watch how Bipin teaches — real systems, clear explanations, no slides full of bullet points.

System Design Concepts Explained

Watch how distributed system concepts are broken down using real-world analogies and intuitive explanations drawn from production experience.

Free Sample · System Design

Architecture Decision Walkthrough

Step-by-step breakdowns of real architecture decisions — trade-offs, failure modes, and examples drawn from production systems at Oracle Cloud and AWS.

Free Sample · Architecture
First public cohort — no testimonials yet. I've privately taught 4 engineers. All found it genuinely useful. Once this cohort runs, I'll share real feedback from real students. Until then, I'd rather be honest than manufacture social proof. If you want to know what working with me is like, watch the sample sessions above or email me directly.
Pricing

One investment.
Direct access to a practitioner.

Full access to both modules — System Design and AI Architecture. No upsells, no hidden fees.

September 2026 Cohort · 30 Seats
System Design + AI Architecture
Live, mentor-led. Small batch. Real production experience.
₹ 35,000 · one-time
What's included
✓Starts September 2026 · 9–12 AM weekends
✓Limited to 30 seats — first public cohort
✓System Design + AI Architecture (20 weeks)
✓Recorded lecture access (lifetime)
✓Live doubt-clearing sessions with Bipin
✓Private student community access
✓Architecture review & hands-on assignments
✓Direct access — Bipin teaches every session
Proceed to Payment — ₹35,000
Secure payment via Razorpay  ·  Questions? Email Bipin
FAQ

Common questions

This cohort is aimed at working engineers — ideally with 2+ years of experience. You should be comfortable with basic programming and have a sense of how web services or APIs work. No prior AI or distributed systems experience is required.
Solid programming fundamentals in any language. Familiarity with APIs, databases, or cloud basics is helpful but not mandatory — the System Design module starts from first principles, and the AI module starts from LLM fundamentals.
Sessions are live and mentor-led in small batches for personalized attention. All sessions are also recorded and available in the student dashboard for lifetime access.
We offer a 7-day refund window from the date of enrollment if you're not satisfied. Contact bipin.masterclass@gmail.com to request a refund.
Sessions run every weekend from 9:00 AM – 12:00 PM, making it easy to attend alongside a full-time job. Each session is 3 hours — concept teaching, live walkthroughs, and Q&A. The cohort kicks off September 2026.
Yes. Bipin personally conducts all sessions and doubt-clearing calls. The batch size is kept small to ensure every student gets individual attention and can ask questions freely.
Student Dashboard

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