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Career Switcher – AI-Assisted Full Stack Developer Course

Transition into software development with a structured, beginner-friendly roadmap designed specifically for career switchers. Master HTML, CSS, JavaScript, React, Node.js, MongoDB, and modern AI-assisted coding workflows. Build, containerize, and deploy a complete production-ready CRM application with authentication, role-based access control, Docker, and domain configuration

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Course Overview

Career Switcher – AI-Assisted Full Stack Developer Program Overview

The Career Switcher – AI-Assisted Full Stack Developer Program is a structured 120-hour learning roadmap designed specifically for non-tech professionals and beginners transitioning into software development. The program follows a unique two-phase approach. First, learners build strong coding fundamentals through a strict No-AI foundation phase covering HTML, CSS, JavaScript, React, Node.js, MongoDB, and backend basics. Once core clarity is established, learners move into the AI-enabled real-world phase where they use AI coding assistants responsibly for planning, debugging, refactoring, and accelerating development. By the end of the program, learners will build, containerize, and deploy a complete production-ready CRM application with authentication, role-based access control, reporting, Docker deployment, and domain configuration.

Key Features

120 Hours Structured Beginner-to-Production Roadmap
Strict No-AI Foundation Phase
AI-Assisted Real-World Development Training
Build Complete CRM (Leads, Deals, Contacts, Tasks)
MERN Stack (MongoDB, Express, React, Node.js)
Authentication & Role-Based Access Control
Docker & Docker Compose Deployment
Domain, DNS & Production Release Training
Portfolio-Ready Deployed Application

Who All Can Attend This Career Switcher – AI-Assisted Full Stack Developer Program?

This program is ideal for: • Career switchers from non-technical backgrounds • Graduates from non-CS degrees • Working professionals planning a tech transition • Support engineers moving into development roles • QA professionals transitioning to full stack development • Beginners with basic computer knowledge and strong learning commitment
Career switchers from non-technical backgrounds
Graduates from non-computer science degrees
Working professionals planning to move into tech roles
Support engineers transitioning into development
QA professionals moving to full stack roles
Beginners with basic computer knowledge
Professionals curious about AI-assisted development
Career switchers from non-technical backgrounds
Graduates from non-computer science degrees
Working professionals planning to move into tech roles
Support engineers transitioning into development
QA professionals moving to full stack roles
Beginners with basic computer knowledge
Professionals curious about AI-assisted development
Prerequisites To Take Career Switcher – AI-Assisted Full Stack Developer Course

• Basic computer knowledge

• Familiarity with internet browsing and software usage

• Logical thinking mindset

• Willingness to practice consistently

• No prior programming experience required


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Why Career Switcher – AI-Assisted Full Stack Developer Course ?

This program is designed to help career switchers confidently transition into full stack development through structured learning, real-world project building, and modern AI-assisted workflows. Instead of just learning syntax, you gain practical experience by building, securing, containerizing, and deploying a complete production-ready CRM application.


With a strong foundation-first approach followed by AI-enabled development, you develop both technical clarity and productivity skills required in today’s software industry. By the end of the program, you will have hands-on experience, deployment exposure, and a portfolio-ready project that demonstrates real job readiness.

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High Demand for Career Switcher – AI-Assisted Full Stack Developer Course

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120 Hours Structured Learning
Total Program Duration
20 Industry-Aligned Modules
Modules Covered
1 Production-Ready CRM Application
Hands-On Project
No-AI Foundation + AI-Enabled Real-World Phase
Learning Approach
skils
Skills Focused
Syllabus
Career Switcher – AI-Assisted Full Stack Developer Course Syllabus

Concepts Covered:

  • • What AI coding assistants are and are not
  • • Where AI helps beginners vs where it confuses them
  • • Overview of tools (ChatGPT, IDE assistants)
  • • Rules for safe AI usage (verify, understand, never blind copy)
  • • How AI will be used from Module 7 onward

Hands-on Lab:

  • • VS Code setup
  • • Practice non-coding prompts
  • • Generate simple HTML and manually review
  • • Create personal AI Usage Checklist


Concepts Covered:

  • • How the web works
  • • HTML tags, elements, attributes
  • • Headings, links, images
  • • Lists and tables
  • • Forms and inputs
  • • Basic semantic HTML

Hands-On Lab:

  • • Build CRM landing page
  • • Create Lead Capture Form
  • • Manual validation in browser

Concepts Covered:

  • • CSS syntax and selectors
  • • Colors, fonts, spacing
  • • Box model
  • • Flexbox basics
  • • Basic responsive design

Hands-On Lab:

  • • Style CRM landing page
  • • Build navigation bar
  • • Make responsive layout

Concepts Covered:

  • • Variables and functions
  • • Events and DOM manipulation
  • • Form validation
  • • LocalStorage basics

Hands-On Lab:

  • • Add form validation
  • • Store leads in LocalStorage
  • • Display leads in table

Concepts Covered:

  • • Frontend vs Backend
  • • React components, props, state
  • • Node.js and Express basics
  • • API request/response structure

Hands-On Lab:

  • • Create React app
  • • Build simple Express server
  • • Connect frontend to backend

Concepts Covered:

  • • Supabase overview
  • • Database fundamentals
  • • Authentication basics
  • • Storage basics

Hands-On Lab:

  • • Create Supabase project
  • • Insert and fetch data
  • • Upload file to storage
  • • CRM system overview
    • MERN architecture
    • Git & GitHub basics
    • AI-assisted project scaffolding
    • Create repository and README
  • • Component planning with AI
    • Reusable UI components
    • Routing setup
    • Build Dashboard, Leads, Contacts
  • • REST API design
    • Controllers and routes
    • Leads CRUD
    • Connect frontend to backen
  • • Collections and documents
    • Schema design
    • Environment variables
    • Persist CRM data
  • • Entity relationships
  • • Contacts CRUD
  • • Accounts CRUD
  • • Lead conversion flow
  • • Sales pipeline stages
    • Status filtering
    • Deals CRUD
    • Pipeline view

  • • Task management logic
    • Notes linking
    • Dashboard summaries

  • • JWT basics
    • Signup & Login APIs
    • Secure frontend routes

  • • Admin vs User roles
    • Permission logic
    • User management screen


  • • Hybrid backend architecture
    • Supabase storage
    • File upload integration

  • • Global search
    • Reporting metrics
    • Activity summaries

  • • Refactoring with AI
    • Error handling
    • UX improvements

  • • Docker fundamentals
    • Dockerizing frontend & backend
    • Docker Compose setup

  • • Domain configuration
    • DNS basics
    • Production checklist
    • Final deployment & documentation

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Career Path
Junior Full Stack Developer
MERN Stack Developer
AI-Assisted Full Stack Developer
Full Stack Engineer
Senior Full Stack Engineer
Technical Lead
Solutions Architect
Certification Process
01
Enroll in the Career Switcher – AI-Assisted Full Stack Developer Program
02
Complete all 120 hours of structured instructor-led sessions
03
Successfully finish foundation phase assessments (No-AI Zone)
04
Build and submit the complete CRM project
05
Implement authentication, role-based access, and reporting modules
06
Containerize the application using Docker
07
Deploy to production with domain and DNS configuration
08
Pass final technical evaluation
09
Receive AI-Assisted Full Stack Developer Certification
Achieve the next big milestone in your career
in just a few simple steps
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FAQs

Frequently Asked Questions

Yes. The program starts from HTML basics and gradually progresses to full stack development and production deployment. No prior programming experience is required.

The foundation phase ensures you truly understand coding concepts before using AI tools. This prevents dependency and builds strong problem-solving skills.

Yes. You will build and deploy a complete CRM system with authentication, role-based access control, reporting modules, and Docker-based production deployment.

No. This program is specifically designed for career switchers and non-technical professionals.

This program follows a structured two-phase approach: a strong manual coding foundation followed by AI-assisted real-world development. Most bootcamps skip fundamentals or over-rely on AI tools.

You will first learn to code manually without AI assistance. Only after building foundational clarity will AI be introduced as a productivity tool. Understanding always comes before automation.

Yes. You will learn Docker fundamentals, Docker Compose setup, and how to configure domain and DNS for production release.

Yes. Your CRM application will be pushed to GitHub and deployed, making it a strong showcase project for interviews.

You can apply for Junior Full Stack Developer, MERN Developer, AI-Assisted Developer, or Entry-Level Software Engineer roles.

Yes. With consistent practice, project polishing, and interview preparation, the program prepares you for entry-level full stack roles.

The Career Switcher – AI-Assisted Full Stack Developer Course is more than just a coding program — it is a structured transition pathway into the tech industry.


With a strong No-AI foundation phase followed by real-world AI-assisted development, this program ensures you build true coding confidence before accelerating with modern tools.



You will:

• Master HTML, CSS, JavaScript, React, Node.js, MongoDB

• Build a complete production-ready CRM application

• Implement authentication and role-based access control

• Containerize and deploy your application using Docker

• Configure domain and DNS for live production release

• Build a strong GitHub portfolio project

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