About This Program
Master database programming with MySQL. Learn to design, build, optimize, and manage enterprise-grade databases in 1 month with hands-on projects, code reviews, and expert mentorship.
Course Overview
This 1-month advanced internship program focuses on Database Programming with MySQL. Unlike conventional training, this program emphasizes hands-on professional learning with real-world projects. By the end, participants will be able to design, build, optimize, and manage enterprise-grade MySQL databases that are production-ready, enabling them to join industry 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
Database: MySQL (latest version)
Tools: MySQL Workbench, phpMyAdmin, DBeaver
Programming Languages: SQL, Python (for integration), PHP/Java (optional)
Version Control: Git & GitHub
Other Tools: Docker (for MySQL container setup), ERD Tools (draw.io, Lucidchart)
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-focused) | 3–6 Months (longer, more theory-heavy, slower pace) |
Learning Format | Live classes + Mentor guidance + Code reviews + Real projects | Mostly self-paced recorded content |
Core Technology | MySQL (latest version) with Workbench, phpMyAdmin, DBeaver | Covers MySQL basics, limited tool coverage |
Database Design | ERD modeling, normalization, keys, best practices | Often skipped or briefly mentioned |
SQL Programming | CRUD, joins, subqueries, indexes, transactions, stored procedures, triggers | Only basic CRUD and joins taught |
Advanced Features | Views, cursors, event scheduling, optimization, user security | Advanced database features rarely covered |
Programming Integration | MySQL with Python (CRUD apps), optional PHP/Java integration | Very limited or none |
Performance & Optimization | Query optimization, indexing, ACID transactions, performance tuning | Often overlooked, theory only |
Deployment & Tools | Dockerized MySQL, backup & recovery, replication, high availability | Deployment & DevOps aspects usually skipped |
Version Control | Git & GitHub for managing SQL scripts and projects | Rarely included |
Capstone Project | End-to-end Online Banking Database System (real-world complexity) | Small toy examples only |
Mentorship & Code Reviews | Weekly reviews, 1:1 doubt resolution, professional practices | Limited or none |
Career & Placement Support | Portfolio projects, GitHub repos, resume prep, mock interviews | No structured support |
Cost & Value | Affordable, outcome-driven, short duration with industry-ready projects | Higher cost, longer duration, less practical value |
Job Roles After Program
Explore exciting career opportunities
Database Programmer
MySQL Developer
SQL Analyst
Junior Data 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