EdJAMON connects learners with industry-focused, project-based internship programs and professional mentorship to build job-ready skills. Our programs cover modern technologies, practical projects, and real-world experience to help students and professionals accelerate their careers.

Master the entire MEAN Stack (MongoDB, Express.js, Angular, Node.js) from scratch to deployment. This 3-month program covers everything from JavaScript fundamentals to database integration, secure authentication, testing, and CI/CD for production-ready full-stack applications.
This 3-month intensive program is designed to transform participants with little to no coding experience into professional Full-Stack MEAN Developers. The curriculum is project-based, starting with the core building blocks of web development (HTML/CSS/JS) and progressing through the entire MongoDB, Express.js, Angular, and Node.js (MEAN) stack. Emphasis is placed on secure API development, data modeling, frontend application development, comprehensive testing, and professional deployment via CI/CD, ensuring graduates are immediately job-ready.
Apply your learning through real-world projects that build your portfolio
Progress through our comprehensive program which makes qualified professional to earn their awards





Begin your journey with foundational skills and basic certification.
Master the most in-demand tools and technologies for data analytics
Hear from our students who have transformed their careers
Discover the difference between Edjamon and traditional platforms
| Features & Criteria | EdJAMON | Others |
|---|---|---|
Duration & Pace | 3 Months (Complete stack, job-ready) | 3–6 Months (Often theory-heavy or MERN/MEAN split) |
Starting Level | Starts from scratch (HTML/CSS/JS basics included) | Often requires prior JavaScript knowledge |
Security & Auth | JWT, bcrypt, Role-based Access Control | Basic login only, no secure role-based systems |
Deployment & DevOps | GitHub Actions CI/CD, PM2, Nginx, Cloud Platforms | Manual deployment only, CI/CD rarely included |
Evaluation & Readiness | Capstone, Code Reviews, Mock Interviews & Resume Prep | Limited or no career support |
Explore exciting career opportunities
Explore our specialized programs to accelerate your career
Access curated external resources to deepen your understanding
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
Complete guide to building LLM applications
Data indexing framework for LLM applications
Step-by-step RAG implementation
Efficient open-source LLM models
Cloud-native vector database for AI applications
Facebook's efficient similarity search library
Open-source ML-first vector database
Open-source embeddings database
OpenAI's official prompt engineering best practices
Academic foundation for RAG architectures
Real-world RAG implementation patterns
Security and ethical considerations for AI apps
Containerization and deployment guide
CI/CD automation and workflow automation
Build data apps with simple Python scripts
Cloud deployment and infrastructure setup
Complete Python language reference
Modern Python web framework for APIs
Numerical computing with Python
Data manipulation and analysis library
Find answers to common questions