About This Program
Master building production-ready, scalable REST APIs using Node.js, Express, PostgreSQL, and MongoDB. This 1-month intensive internship focuses on security, authentication, automated testing, and cloud deployment (Docker/CI/CD).
Course Overview
This 1-month internship program is meticulously designed to transform engineering graduates into professional backend developers. It provides hands-on experience in building robust, secure, and scalable REST APIs. Unlike typical courses, we emphasize professional practices like authentication, role-based access, automated testing (with 80%+ coverage), database integration (SQL and NoSQL), Dockerization, and automated deployment via CI/CD, ensuring graduates are ready to join real-world Node.js/Express projects immediately.
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
Node.js
Express.js
PostgreSQL
MongoDB
Sequelize (ORM)
Mongoose (ODM)
JWT (JSON Web Tokens)
Jest & Supertest (Testing)
Joi/Zod (Validation)
Docker
GitHub Actions (CI/CD)
Cloud Deployment (Render/Heroku)
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 | 1 Month (intensive, project-based, industry-ready) | 3–6 Months (longer, often theory-heavy, slow pace) |
Database Integration | PostgreSQL + MongoDB + ORMs (Sequelize/Mongoose) | Covers only one DB (usually MongoDB), ORMs often skipped |
Authentication & Security | JWT, bcrypt, Role-based access, Secure Headers | Basic login only, no secure role-based systems |
Testing & Quality | Jest + Supertest with 80%+ coverage for APIs | Minimal or no testing practices included |
Deployment & DevOps | Dockerization + GitHub Actions CI/CD + Cloud deployment | Manual deployment only, CI/CD rarely included |
Capstone Project | Production-ready Inventory API (Auth + CRUD + DB + Docker + Cloud) | Mini-projects or toy APIs only |
Mentorship & Code Reviews | Weekly reviews, 1:1 support, professional practices | Limited or none |
Job Roles After Program
Explore exciting career opportunities
Backend Developer (Node.js)
Full-Stack Developer (API Focused)
Node.js API Developer
Junior Software Engineer
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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