Cover Image for Campus FDE Launchpad: Deploy AI Agents
Cover Image for Campus FDE Launchpad: Deploy AI Agents
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Campus FDE Launchpad: Deploy AI Agents

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About Event

Not a bootcamp. Not a hackathon. A 45-day enterprise incubator.

About the 45-Day Program

The Campus FDE Launchpad is an intensive, 45-day virtual incubator designed to transition you from building basic API wrappers to architecting resilient, production-ready autonomous multi-agent systems.

Over 45 days, you will master an enterprise tech stack, build complex autonomous workflows with 24/7 AI-powered mentorship, clear rigorous evaluation checkpoints, and defend your architecture live before a global jury of AI leaders.

Rewards & Incentives Pool

  • Total Prize Pool: ₹2,00,000

  • Cash Prizes for top-ranking teams

  • Enterprise AI Credits & API Grants to keep building

  • Internship & Full-time Job Opportunities with top AI partner companies

  • Exclusive Swag Kits, Merch & Special Gifts

  • Certificates of Excellence (Forward Deployed Engineer Track)

The Production AI Tech Stack

You will engineer, benchmark, and secure your systems using three core enterprise frameworks:

  • Lyzr (Agentic Orchestration Framework): Power multi-agent coordination, tool execution, dynamic task planning, Directed Acyclic Graph (DAG) pipelines, and autonomous agent-to-agent handoffs.

  • Qdrant (Vector Memory & Semantic Search): High-performance, Rust-based vector database providing persistent memory, state management, long-context retention, and low-latency Retrieval-Augmented Generation (RAG).

  • Enkrypt AI (Security & Guardrail Engine): Enterprise-grade safety, real-time prompt injection defense, automated PII redaction, red-teaming, and dynamic policy enforcement.

The 45-Day Roadmap & Mandatory Evaluation Gates

Stage 1: Learn & Foundations (Days 1–12)

  • Masterclass 1: Environment setup, developer toolchains, API access, and workspace architecture.

  • Masterclass 2: Multi-agent orchestration and reasoning workflows using Lyzr.

  • Masterclass 3: Vector memory management with Qdrant and real-time guardrail enforcement with Enkrypt AI.

Phase 1 Evaluation: Environment Setup & Concept Verification. Submit working workspace configurations and pass the core architectural assessment to unlock Stage 2.

Stage 2: The Engineering Sprint (Days 13–35)

  • Enterprise Problem Statements: Choose from real-world business use cases or propose custom multi-agent architectures.

  • Production Refinement: Connect live third-party APIs, optimize vector retrieval latency, integrate fail-safe error recovery, and enforce Enkrypt AI security policies.

  • 24/7 AI-Powered Support: Continuous assistance from automated code review and troubleshooting agents.

Phase 2 Evaluation: Code, Latency & Guardrail Audit. Mentors and automated checkers evaluate repo commits, DAG execution speed, retrieval precision, and security resilience to shortlist the Top 10 Finalist Teams.

Stage 3: Virtual Grand Finale & Global Defense (Days 36–45)

  • Top 10 Live Demos: Shortlisted teams present functional AI agents executing real operational workflows on a global live stream.

  • Jury Interrogation: Pitch and defend system architecture, memory retention, latency optimizations, and security compliance directly to enterprise AI leaders.

  • Day 45 Results & Awards: Live announcement of winners, hiring opportunities, credits, and global platform features.

Phase 3 Evaluation: Final Live Scoring on execution reliability, orchestration depth, memory design, security compliance, and enterprise viability.

24/7 AI-Powered Feedback

Every participant receives on-demand access to three specialized AI support agents throughout the program:

  1. AI Mentor Agent: Explains advanced architecture patterns and guides your technical development.

  2. AI Feedback Agent: Reviews workflow logic, vector memory setups, and repo commits in real time to recommend latency and structure optimizations.

  3. Dr. AI Agent: Instant technical troubleshooter for debugging API connection errors, package dependencies, and guardrail configuration issues.

Who Can Join?

  • Domain Agnostic: Open to developers from any background (Python, JavaScript/TypeScript, Java, C++, backend, frontend, cloud, or data science).

  • Solo or Teams: Participate individually or in teams of up to 4 members.

Hosted By

AI House

The global community layer powering next-generation AI builders. AI House connects founders, engineers, researchers, and students through builder sprints, technical deep-dives, and hands-on learning experiences.

HiDevs

The Builder Intelligence Platform for the Agentic Era. HiDevs accelerates developer growth from simple code snippets to production-grade autonomous systems through real-time feedback, contextual memory, and verified competency evaluations.

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