Full-Stack AI Developer Program

🎓 Full-Stack AI Developer Program

(Framework-Agnostic Edition) — Currently available in Islamabad

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Build production-grade full-stack applications across any tech stack — using Claude Code, Cursor IDE, and GitHub Copilot as your development partners from day one. This is not a course about prompting ChatGPT. You will use AI tools the way professional engineering teams use them in 2025: to plan architecture, scaffold projects, write and review code, debug, write tests, and ship faster than ever before.

The program is framework-agnostic by design. Whether you work in Python, Node.js, Laravel, .NET Core, Go, or Rust — the AI-native workflow you build here transfers across every stack you will ever use.

💡 Why This Program Matters

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AI has fundamentally changed what a single developer can ship. Work that once required a team of five engineers over two months can now be done by one developer in two weeks — if they know how to work with AI properly. This program teaches you exactly that:

• Use Claude Code to plan, scaffold, and refactor entire features through natural conversation
• Use Cursor IDE for AI-assisted in-editor coding, context-aware completions, and inline refactoring
• Use GitHub Copilot for real-time code suggestions, test generation, and PR summaries
• Build full-stack applications end-to-end — backend API, frontend, database, auth, deployment — all AI-augmented
• Think like a solution architect: design systems first, then use AI to execute them
• Ship faster without sacrificing code quality, security, or maintainability

📚 Module Breakdown

(Framework-Agnostic, AI-Native Curriculum)

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Week 1 — Phase 0: AI-Native Developer Setup

Before writing a single line of code, you will set up the full AI-augmented development environment and learn to use it fluently. This phase runs through the entire program — every subsequent phase uses these tools.

1. Setting up Claude Code: CLI workflows, project context, memory, and slash commands
2. Cursor IDE: codebase indexing, chat with your repo, inline edits, and multi-file refactoring
3. GitHub Copilot: real-time completions, Copilot Chat, test generation, and PR descriptions
4. AI-assisted project planning: writing architecture documents, ERDs, and API contracts with Claude
5. Prompt engineering for developers: writing effective prompts for code generation, debugging, and code review
6. AI code review workflow: using Claude to review pull requests, catch security issues, and enforce patterns
7. Setting up a personal AI coding assistant with persistent project context

Week 1–2 — Phase 1: Backend Development

Target stacks: Python (Django), Node.js (Express), Golang, ASP.NET Core, Laravel — student selects one.

Every topic in this phase is taught with Claude Code and Copilot active. You will use AI to scaffold, write, debug, and refactor — not as a shortcut, but as a deliberate professional workflow.

1. Defining real-world project goals and architecture with Claude — system design before code
2. AI-assisted project setup: scaffolding folder structure, config files, and boilerplate via Claude Code
3. Backend bootstrapping and database integration (PostgreSQL primary, MySQL/SQLite as alternatives)
4. ORM setup and AI-generated migrations, seeders, and query builders
5. Designing and building RESTful APIs with AI-assisted route planning and controller generation
6. GraphQL API layer — schema design with Claude, resolver scaffolding with Copilot
7. Authentication and JWT security: implementing auth flows with AI, then auditing them with Claude Code review
8. Role-based access control (RBAC) — design the permission model with Claude, implement with Copilot
9. Middleware, request validation, and error handling patterns
10. Third-party API consumption (REST and GraphQL) — using Claude to map and integrate external APIs
11. Payment gateway integration (Stripe / local gateways)
12. Email services (SMTP, transactional email with Resend / Mailchimp)
13. File uploads, storage abstraction, and S3-compatible APIs
14. Logging, monitoring, and observability setup (Sentry, Loki, structured logging)
15. Writing backend unit and integration tests — Claude-generated test suites, reviewed and refined
16. Internationalization and multi-language support

Week 2–3 — Phase 2: Frontend Development

Target framework: Next.js 15 (App Router) with TypeScript — primary. Angular and Vue also supported for students on those stacks.

1. AI-assisted project scaffolding: setting up Next.js / Angular / Vue with Cursor and Claude Code
2. TypeScript-first development: using Claude to generate strongly-typed data models from your backend API
3. Component architecture — designing a component library with Claude, building it with Copilot
4. State management: Next.js server state, React Query / TanStack, Redux Toolkit, or Signals (Angular)
5. API integration layer: typed API clients generated with Claude from your backend contracts
6. Authentication on the frontend: session management, protected routes, token refresh logic
7. Role-based UI: dynamic dashboards that render based on user permissions
8. Reactive and dynamic forms — complex form logic designed with Claude, validated with Zod / Yup
9. Data listing, filtering, sorting, and server-side pagination
10. Data visualisation: charts and dashboards (ApexCharts, Recharts, Chart.js)
11. Responsive UI with Tailwind CSS — using Claude to generate and refine layouts from descriptions
12. Performance optimisation: code splitting, lazy loading, image optimisation — Claude-audited
13. Frontend testing: Playwright E2E tests scaffolded and reviewed with AI
14. Deployment: Next.js on Vercel or integrated with backend on a single server

Week 3 — Phase 3: Deployment (AWS + Docker)

1. Docker and Docker Compose — AI-generated Dockerfiles, reviewed and hardened with Claude
2. Deploying full-stack application to AWS EC2 with a production-ready setup
3. AWS services in practice: S3 (file storage), IAM (permissions), RDS (managed PostgreSQL), CloudWatch (logs)
4. Reverse proxy setup with Nginx — config generated and optimised with Claude
5. HTTPS with Let's Encrypt, environment variable management, and secrets handling
6. CI/CD pipeline with GitHub Actions — workflow files scaffolded with Claude Code
7. Monitoring, alerting, and backup strategies

Optional: Week 4–5 Add-On — AI Engineering Module (additional fee)

This add-on moves beyond using AI as a coding assistant — you will build applications that are AI. Integrate LLMs, build RAG pipelines, and ship real AI-powered features into your existing full-stack application.

1. LLM API integration: OpenAI, Anthropic (Claude), and Google Gemini APIs from your backend
2. Prompt engineering for production: system prompts, few-shot examples, output formatting
3. Building a RAG (Retrieval-Augmented Generation) pipeline from scratch
4. Vector databases: setting up and querying pgvector (PostgreSQL) and Pinecone
5. Document ingestion: chunking, embedding, and indexing PDFs, docs, and web content
6. LLM agents with LangChain or LlamaIndex: tool use, memory, and multi-step reasoning
7. Building real AI features: chatbot with context, document summariser, semantic search, content generator
8. Streaming responses and real-time AI output in your frontend (Next.js Server-Sent Events)
9. AI feature evaluation: testing and measuring LLM output quality
10. Deploying AI features to production with cost and latency considerations

📅 Schedule & Timings

Choose one group only based on your availability. Max 5 candidates per group to ensure individual attention and hands-on support.

Weekday Groups:

• Group 1: Mon–Wed, 10 AM – 1 PM
• Group 2: Mon–Wed, 4 PM – 7 PM

Weekend Groups:

• Group 3: Sat & Sun, 10 AM – 2 PM
• Group 4: Sat & Sun, 4 PM – 8 PM

📍 Location: In-house training in Islamabad
📱 Online option may be arranged for out-of-city participants

💻 Preferred Stacks (Student-Selected)

The program is framework-agnostic — you will build your project in one of the following stacks. The AI workflow you develop applies to all of them equally.

• Python (Django) + Next.js
• Node.js (Express) + Next.js
• Golang + Next.js
• ASP.NET Core + Angular (or Next.js)
• Laravel + Inertia.js / Vue
• Rust (Axum) + Next.js

By the end of this program you will be able to build, adapt, and migrate between stacks — because you will understand architecture and AI-augmented problem solving, not just syntax.

🛠️ Tools Used Throughout

• Claude Code — architecture planning, code generation, debugging, and review
• Cursor IDE — AI-native editor with codebase-aware chat and inline edits
• GitHub Copilot — real-time completions, test generation, PR assistance
• GitHub Actions — CI/CD pipeline automation
• Docker — containerisation throughout all phases
• AWS — deployment (EC2, S3, RDS, CloudWatch)

💳 Course Fee & Booking

• ⌛ Duration: 3 Weeks core program (+ 2 weeks optional AI Engineering add-on)
• 🔒 Seats: 5 only per group

👉 Click here to book via WhatsApp