Think like an engineer
Solve real problems, make decisions, and own meaningful features in a startup-style environment.
Harsham learning studio
Silicon Valley AI Engineering Residency
A 30-day intensive residency where motivated learners become job-ready software engineers by building, shipping, and deploying real AI-powered applications with industry mentorship.
Request enrollment details →Build · Ship · Deploy · Grow
Students do not just attend classes. They work like engineers.
The residency blends live sessions, real assignments, team workflows, AI-assisted development, daily mentorship, production deployment, and career preparation into one focused journey.
Build with AI
Use Cursor, Copilot, ChatGPT, Gemini, Claude, and model APIs as part of a responsible development workflow.
Work with GitHub
Practice branches, pull requests, code reviews, team collaboration, and continuous delivery.
Deploy for real
Move beyond localhost with VPS, AWS, Docker, Nginx, PM2, SSL, and live production systems.
What you will learn
Skills you can show, not just describe.
Full-stack applications with React, Node.js, Express, and PostgreSQL
AI features with OpenAI, Gemini, prompt templates, and streaming
Secure JWT authentication, password hashing, and role-based access
Git workflows, pull requests, reviews, and team delivery
Deployment with VPS, Nginx, PM2, SSL, Docker, and GitHub Actions
Professional resume, LinkedIn, portfolio, and interview preparation
30-day curriculum
Ten sessions. Ten deliverables.
Each session ends with work that becomes part of your engineering portfolio.
DAY 1
Welcome to Silicon Valley
Engineering mindset, startup culture, and the AI development workflow. Set up GitHub, LinkedIn, and your first commit.
DAY 4
AI-powered development
Prompt engineering, AI coding, debugging, and documentation. Build a landing page and establish a consistent commit habit.
DAY 7
Backend engineering
REST APIs, Express.js, PostgreSQL, and Prisma. Build a complete Student CRUD API.
DAY 10
Authentication
JWT, password hashing, role-based access control, and environment variables. Build a complete login system.
DAY 13
AI integration
OpenAI, Gemini, prompt templates, and streaming responses. Create an AI chat feature.
DAY 16
Team engineering
Git flow, branches, merge strategies, pull requests, and code review inside a real team workflow.
DAY 19
Production deployment
Ubuntu VPS, Nginx, PM2, SSL, and domain setup. Deploy a backend and share a live URL.
DAY 22
DevOps
Docker, Docker Compose, GitHub Actions, AWS, and monitoring. Containerize and deploy your project.
DAY 25
Career engineering
Resume, LinkedIn, GitHub, interview preparation, and final portfolio review.
DAY 28-30
Demo day and graduation
Present your product, complete mock interviews, and receive completion documentation and performance feedback.
Final project studio
Choose a problem worth building for.
Each learner builds and deploys one production application with authentication, database, AI integration, and cloud deployment.
AI Resume AnalyzerAI Interview PlatformAI
CRMAI Agriculture AssistantAI Hospital AssistantAI Expense
ManagerAI Learning PlatformAI SaaS Dashboard
Ready to begin?
Build your next chapter with real work.
Share your details and the Harsham team will guide you through the next enrollment step.
Contact the training team →