AI Shift
Developed for engineers who own end-to-end deployment in production
alumni
All tracks, one outcome: production-grade skills with AI fluency. Every module below has an AI integration layer — it's not an add-on, it's how you learn.
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MAKING AI WORK FOR A CUSTOMER
AI runs through every module. But the skill that gets you hired, isn't prompting. It's scoping the ask, proving the system works, and defending it to the people who have to sign off. You do all three inside one live engagement.
Tools you'll learn with us:
Curriculum
How is This Module Future Proof
The full client-room toolkit before any deep theory, graded from the first classes.
Start in the client room, engagement lifecycle, MECE, BLUF and the artifact toolkit, then design Meridian's secure order-platform schema and solve the legacy problem their customer PII actually lives behind: a firewalled on-prem SQL Server.
What you'll learn
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Project
Not disconnected builds. Each project adds the next production layer to the same Meridian Retail engagement, and the capstone proves it transfers.
Design Meridian's secure production schema with RLS, column encryption and audit trails, solve federated access to the firewalled on-prem SQL Server their customer PII lives in, then build the tested async Python ingestion service, streaming exports via generators, Pydantic-validated, fully covered by pytest, with a PySpark transform layered in for the heavier data loads.
AI-assisted profiling flagged likely PII fields and schema anomalies in the legacy export before the ingestion pipeline was built.
Build the client's real backend, order lifecycle state machine, payment reconciliation, notifications, OAuth2/OIDC auth, live status over WebSockets, OpenTelemetry tracing, backed by an OpenAPI-specced contract and the dbt/Airflow/Kafka data platform behind it.
pgvector semantic search and streaming, AI-ready endpoints are built into the platform from day one
Build the ops dashboard the client's team uses daily, validated intake forms, KPI tables and filters, role-gated views and real-time order status, then defend the architecture and walk the end users through it.
Streaming, AI-ready interface patterns power the dashboard's real-time layer
Redesign the platform to survive a 50x campaign surge, load balancing, caching, sharding with rebalancing, a Kafka event backbone, a 10TB query path and Saga-based distributed transactions, presented as an architecture proposal deck defended to leadership.
The redesign explicitly provisions for AI workloads, copilot traffic and vector search, under surge load
Run discovery and scoping on a fresh non-Meridian brief under time pressure, build the data, backend, dashboard and AI/agent layer in compressed sprints, then present at Demo Day to an industry panel.
Every capstone ships a production AI/agent layer scoped to the new client's actual problem
Mentors/ Instructors
Industry leaders who will shape your career
Taught by Anshuman Singh
Two-time ACM ICPC World Finalist. Built Facebook Messenger as a founding team member.
4.9
Taught by Naman Bhalla
Google Kickstart global rank 135. ACM ICPC rank 37. Built Scaler Topics from scratch.
4.8
Taught by Shivank Agarwal
A decade at Microsoft and Oracle. Now SVP of Engineering at Scaler, building next-gen engineers.
4.7
Subhadip Chanda
Forward Deployed Engineer at Databricks, turning ambitious data strategies into real platforms.
Anu Sharma
Forward Deployed Engineer at Palantir. Also worked at Google, X and Intuit. Teaches 700k+ followers.
Kalaiselvan Swamy
16+ years in engineering and architecture. Forward Deployed Engineer at Axelerant, ex-Cognizant.
Suvojit Hore
Forward Deployed Senior AI Engineer at EXL, with 20+ agentic AI systems in production. Ex-dunnhumby.
Prajna Vegesna
Forward Deployed AI Engineer at Sarvam AI, building full-stack AI products for India at scale.
Subham Kumar
Forward Deployed Engineer at ConveGenius.AI, building cloud platforms serving millions of learners.
Taught by Anshuman Singh
Two-time ACM ICPC World Finalist. Built Facebook Messenger as a founding team member.
4.9Taught by Naman Bhalla
Google Kickstart global rank 135. ACM ICPC rank 37. Built Scaler Topics from scratch.
4.8Taught by Shivank Agarwal
A decade at Microsoft and Oracle. Now SVP of Engineering at Scaler, building next-gen engineers.
4.7Subhadip Chanda
Forward Deployed Engineer at Databricks, turning ambitious data strategies into real platforms.
Have questions about the program or your career path?
how scaler works
Designed for people with jobs, ambition, and limited time. Structure, people, practice, and accountability are built in so upskilling turns into capability.
You spend the program embedded with Meridian Retail, a realistic simulated client: messy legacy data behind a firewall, PII and PCI constraints, shifting stakeholders, and a Black Friday deadline. Every module adds a production layer to the same living platform.
Mentors review your Meridian work, coach your discovery calls and exec updates before the graded versions, and give artifact feedback the way a real engagement lead would.
197 live sessions including 14 graded assessments, 10 hands-on labs and 18 communication classes, a timed RAG build, a red-team war room on your shipped agent, a system-design interview simulation, an AWS security assessment, a live incident drill, and a demo day with an industry panel.
A real AWS production go-live with Terraform (28 sessions), multi-region reliability and DR, enterprise security sign-off, and the capstone.
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Structured check-ins, career support, and access to Scaler's alumni community keep you moving long after the program ends.
Live sessions, regular curriculum updates, and lifetime access to recorded content mean you remain current as the industry moves. Not caught up. Ahead of it.
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FREQUENTLY ASKED QUESTIONS
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