About This Program
Master MERN stack development (MongoDB, Express, React, Node.js) in 3 months with hands-on projects, mentorship, and placement support. Build and deploy real-world applications and become job-ready.
Course Overview
This intensive 3-month program transforms beginners into professional MERN stack developers. Learn frontend and backend web development with MongoDB, Express, React, and Node.js. Build and deploy real-world projects, get resume and interview preparation, and receive full placement support.
What You Will Learn
Hands-on Projects
Apply your learning through real-world projects that build your portfolio
Unique method to make you professionally rich
Progress through our comprehensive program which makes qualified professional to earn their awards
Bronze Award
Begin your journey with foundational skills and basic certification.
Course Curriculum
Technologies You Will Learn
Master the most in-demand tools and technologies for data analytics
HTML, CSS, JavaScript (ES6+)
React.js (Hooks, Routing, State Management)
Node.js & Express.js
MongoDB (Mongoose ODM)
Authentication & Security (JWT, bcrypt)
REST API Development
Testing (Jest, Mocha, Chai)
Git & GitHub (version control, collaboration)
Deployment (Heroku / AWS / Render)
CI/CD Pipelines
What Our Students Say
Hear from our students who have transformed their careers
Why Choose Edjamon?
Discover the difference between Edjamon and traditional platforms
| Features & Criteria | EdJAMON | Others |
|---|---|---|
Duration | 3 Months (intensive, job-ready) | 4–6+ Months (longer, slower pace) |
Learning Format | Live Classes + Mentor Support + Real Projects | Mostly self-paced or large-batch recorded sessions |
Frontend & Backend | Full MERN stack (React + Node.js + MongoDB + Express) | Often covers either frontend OR backend in depth |
Deployment | Cloud Deployment (Heroku, AWS, Render) + CI/CD | Limited deployment focus |
Capstone Project | End-to-end MERN App with authentication & deployment | Mini projects or case studies only |
Mentorship & Code Reviews | Weekly code reviews, 1:1 mentoring, low batch size | Very limited or generic doubt support |
Placement Support | Resume prep, mock interviews, hiring partner connections | Limited or no placement assistance |
Cost & Value | Affordable, outcome-driven, fast-track | Higher cost, longer duration, slower outcome |
Key Highlights
Job Roles After Program
Explore exciting career opportunities
Full Stack MERN Developer
Frontend React.js Developer
Backend Node.js Developer
Web Developer (Full Stack)
Junior Software Engineer
Become the top 1% in your domain
Explore our specialized programs to accelerate your career
Resources & References
Access curated external resources to deepen your understanding
LLMs & Generative AI
Official guide for GPT models and API usage
Pre-trained models, datasets, and community resources
Open-source LLaMA models and implementation guides
Claude AI research papers and documentation
RAG & Framework Docs
Complete guide to building LLM applications
Data indexing framework for LLM applications
Step-by-step RAG implementation
Efficient open-source LLM models
Vector Databases
Cloud-native vector database for AI applications
Facebook's efficient similarity search library
Open-source ML-first vector database
Open-source embeddings database
Best Practices & Learning
OpenAI's official prompt engineering best practices
Academic foundation for RAG architectures
Real-world RAG implementation patterns
Security and ethical considerations for AI apps
Deployment & DevOps
Containerization and deployment guide
CI/CD automation and workflow automation
Build data apps with simple Python scripts
Cloud deployment and infrastructure setup
Python & Development
Complete Python language reference
Modern Python web framework for APIs
Numerical computing with Python
Data manipulation and analysis library
Frequently Asked Questions
Find answers to common questions