Accelerate your career with an intensive 3-month AI development internship. Solve real problems, build real products, earn a verified certificate.
Zorus 2.1 is designed to transform theoretical knowledge into production-ready skills. You'll work on industry-standard AI systems, submit working builds for admin verification, and emerge with a portfolio that proves your capabilities to any employer.
This isn't a course you watch passively. It's a structured internship you live — where every week has a deliverable, every month culminates in a verified project, and your final certificate represents real, tangible proof of what you can build.
Each module is a standalone build that you submit as a portfolio artifact with code, a walkthrough video, and README documentation.
Record a baseline avatar video, configure a HeyGen generative identity, clone your voice using ElevenLabs, and generate a 30-second AI-narrated introduction. Deploy and submit.
Initialize n8n, construct a multi-node pipeline connecting external APIs to an AI agent with reasoning capabilities, create a scheduled automation pipeline, and record it running end-to-end.
Configure webhook nodes from your N8N pipeline, design a clean frontend web interface, connect it to the automation logic end-to-end, and deploy the full-stack application to a live host.
Each module is guided by structured reference videos, but executed entirely by you. Real work, real submission, real verification.
Apply for the next Zorus 2.1 cohort. Accepted applicants gain access to the full reference material and project briefs.
Complete each month's deliverable: code archive, video walkthrough, and README documentation uploaded to your dashboard.
Our technical team manually audits your build. If it passes standards, your certification is approved and issued to your email.
Your verified Gigni certificate is downloadable and shareable. Your profile is listed in the verified talent directory.
Zorus 2.1 is designed for anyone actively learning to build with AI tools and wanting verified execution credentials.
Computer science and engineering undergrads who want proof-of-work beyond academics and internship applications.
Autodidacts and bootcamp graduates with basic coding skills looking to push into the AI / automation domain.
Anyone who knows HTML/CSS/JS basics and wants to understand real agentic AI pipelines through hands-on builds.
Developers who have built public GitHub repositories and want to add an AI/automation certification to their profile.