AI First Full-Stack Developer
Certification
Build. Review. Test. Deploy. Explain. With AI.
A university-ready program that trains students to build real software with AI, improve existing systems like professionals, automate QA, review UI, integrate multilingual and voice capabilities, and ship with DevOps confidence.



PROGRAM AT A GLANCE
Program Model
Flexible, modular, and university-approved delivery model for student cohorts.
Delivery Format
On-campus / Online / Blended / Hybrid based on university preference.
Dual Project Training
One project built from scratch. One existing codebase improvement project.
Agentic AI + LLMs
Use multiple LLMs and agentic tools across the full software development lifecycle.
QA, DevOps & CI/CD
Automation testing, UI & functionality QA, GitOps mindset and release awareness.
Assessment-Based Certification
Based on project work, prompt logs, QA, viva and responsible AI usage.
THE DUAL-PROJECT DIFFERENTIATOR
Two Projects. One Simulates Creation. One Simulates the Job.

TOOLS & TECHNOLOGIES (REPRESENTATIVE)















AI ACROSS THE SOFTWARE DEVELOPMENT LIFECYCLE
Requirements with AI
Architecture Planning
Prompting & Design
Development with AI
Agentic AI Integrations
Multilingual & Voice Layer
QA Automation & Testing
UI Review & Functionality
DevOps & CI/CD
Demo & Documentation
Quality Engineering Built In
- AI-assisted test case generation
- UI review (layout, spacing, typography)
- Functionality & validation testing
- Edge case & negative flow checks
- Regression awareness
- Bug reporting & triage
- QA automation concepts
DevOps & CI/CD Readiness
- Git & GitHub workflow
- Branching & collaboration
- Build & environment awareness
- Deployment fundamentals
- CI/CD pipeline concepts
- Release readiness checklist
- Rollback & stability mindset
Who Can Join?
- Engineering, CS, IT, BCA, MCA students
- Early academic stages are welcome
- Beginner-friendly: No advanced AI exp required
- Laptop & internet access required
- Curiosity & practice discipline are mandatory
Mobiloitte Provides
- Curriculum & training content
- Expert instructors & mentorship
- Project framework & guidance
- Assessment & certification support
- Reporting & technical guidance
University Provides
- Student coordination
- Classroom / Lab / Online access
- Communication & scheduling
- Faculty-observer (if required)
- Enrollment & participation support
Implementation Roadmap
SCHEDULE A UNIVERSITY PARTNERSHIP DEMO
Let's discuss how we can bring AI-First Engineering to your campus.
Bring AI-First Engineering to Your Campus
Let's build industry-ready graduates through practical, responsible and assessment-led AI engineering training.