AI Engineering Fellowship ā 90 Day Studio
One immersive fellowship that blends Generative AI engineering, core ML systems, and NLP/agent automation. Operate like an elite product team, ship real copilots, and walk into offers with a measurable portfolio.
40 fellows Ā· industry critique every week Ā· scholarships + need-based financing available.
Inside the build
Design Ā· Build Ā· Launch
- Weeks 01ā03Systems reset, modern Python, data contracts, infra warm-up.
- Weeks 04ā07Gen AI engineering sprint: RAG, orchestration, evals, guardrails.
- Weeks 08ā10NLP + agent automation: structured outputs, workflow bots.
- Weeks 11ā13Launch labs, hiring pods, executive demo day.
Tools you will master
Why this fellowship
One cohort that behaves like a product org
No course catalog. Just one studio with sprint rituals, founder reviews, and ruthless feedback on every artifact you ship.
Production sprints
Weekly design docs and GitHub PRs reviewed by principal engineers. Infra, eval traces, and observability are non-negotiable.
Systems thinking
Generative AI, core ML, and NLP pipelines are taught as one stackādata contracts, retrieval, orchestration, deployment.
Career studio
Mock architecture reviews, founder panels, and hiring partner showcases so you graduate with outcomes, not just certificates.
Founder access
Office hours with unicorn CTOs to stress test your roadmap, pricing narrative, and GTM story before demo day.
90 day operating system
Curriculum engineered as four delivery sprints
Each sprint stacks new responsibilitiesāfrom refactoring your engineering fundamentals to owning gen AI products in production.
Systems reset
- Modern Python + data contracts
- Tensor math refresh & evaluation design
- Infra + CI/CD foundations
Gen AI engineering
- RAG architectures, embeddings, vector ops
- Prompt pipelines, function calling, guardrails
- Evals, LLM monitoring, latency tuning
NLP + agent systems
- Structured outputs & knowledge synthesis
- Multi-agent orchestration, CrewAI / LangGraph
- Workflow automation, compliance rails
Launch & demo day
- Founder critique on GTM + pricing
- Hiring pods, architecture interviews
- Executive showcase & partner referrals
Integrated mastery
Three tracks, one fellowship
You rotate through every discipline so you can architect the whole stackāfrom data ingress to agent UX.
Generative AI Engineering
- LLM selection, tuning, adapters
- Hybrid RAG and vector db benchmarking
- Prompt pipelines, output verification
Core AI & MLOps
- Data contracts, feature stores, ML infra
- Model deployment, eval loops, observability
- Cost governance & reliability SLAs
NLP & Agent Automation
- Information extraction & retrieval tuning
- Multi-agent choreography, tool use
- Compliance-ready audit + control planes
Experience design
Every week feels like working inside a high-performing AI org
Daily rituals
Standups, async demos, and nightly office hours keep momentum even across time zones.
Build studio
Pair-programming with staff engineers, infra labs, and instrumentation drills with real telemetry.
Architect review
Submit design memos ā get inline comments from people shipping at unicorns.
Mentor pods
3:1 pods for code reviews, hiring prep, and compensation strategy.
Career studio
Resume rewrites, mock panel interviews, and recruiter calibrations baked into the schedule.
Launch-ready work
Flagship builds you will ship
Enterprise Copilot for Ops
Multi-source RAG + analytics copilots with policy guardrails, telemetry dashboards, and approval workflows.
Tech: Azure OpenAI Ā· LangChain Ā· SupabaseAgentic Workflow Orchestrator
Autonomous agents coordinating tooling, CRM data, and vendor APIs with eval harnesses and fallback logic.
Tech: CrewAI Ā· LlamaIndex Ā· pgvectorML Operations Control Plane
Unified dashboard for model deployments, evaluation traces, rollback controls, and compliance logging.
Tech: Kubernetes Ā· W&B Ā· GrafanaMentorship
Guided by the operator building this fellowship
SHIVANG GUPTA
Product Leader & AI Architect
"Imagination turned into executable intelligence."
Shivang has led high-impact Data and AI organizations across the US, India, and the Middle Eastāarchitecting the technical backbone for fintech, logistics, and marketplace giants. This fellowship is his operating system for building GDP-scale AI products.
Success stories
Hear from our fellowship alumni
Real outcomes from engineers who transformed their careers through the AI Engineering Fellowship.
Assignments were unapologetically rigorous. Real-time audits, tool integration, and performance evals. Went from fundamentals to advanced orchestration in a fast-paced and deeply practical environment.
The curriculum depth is unmatched. Seeing how these models actually work under the hood versus just using APIs changed how I think about product development.
Loved how every module paired theory with real operator tasks. Building concierge agents with custom knowledge bases gave me portfolio-ready work I could showcase immediately.
Admissions
How to join the fellowship
Apply
Share background, work samples, and goals. We review within 48 hours.
Technical interview
30-minute conversation with a mentor to calibrate your sprint plan.
Studio onboarding
Access to pre-work, infra credits, and baseline assessments.
Kickoff
Meet your pod, receive the build calendar, and start Sprint 01.
Tuition & financing
Invest once, unlock a career flywheel
ā¹1,75,000 inclusive of taxes
Pay in 3 installments or finance with 0% partners. Scholarships for women in tech & first-gen students.
- Live build studio + async labs + mentor pods
- Cloud credits, tooling, and evaluation infra
- Career studio with hiring partner showcase
- Lifetime alumni community + playbooks
Ready to operate like a top-tier AI engineer?
Seats are capped to keep pods intimate. Secure your invitation and join the next AI Engineering Fellowship cohort.