Course Overview

This is a complete beginner-to-advanced bootcamp designed to take you from writing your first SQL query to building production-ready backend systems powered by Python, FastAPI, and MCP.

You will begin with SQL fundamentals using SQLite, then gradually transition to PostgreSQL for real-world database development. Along the way, you will master database design, performance optimization, and advanced SQL features used in production systems.

After building a strong SQL foundation, you will integrate databases with Python using psycopg2 and SQLAlchemy,  and develop fully functional REST APIs using FastAPI.

In the final phase, you will build MCP servers that expose structured, secure database tools for AI assistants,  bridging traditional backend systems with modern AI architectures.

This course is practical, project-driven, and designed to develop real backend engineering skills.

No prior SQL knowledge required.

What you will learn?

• Write complex SQL queries with confidence -  filtering, joining, aggregating, and optimising
• Design efficient, well-normalised relational database schemas from scratch
• Integrate SQL databases with Python applications using SQLAlchemy and psycopg2
• Build production-ready REST APIs using FastAPI with full CRUD functionality
• Secure backend systems with JWT authentication and proper database access controls
• Manage database schema evolution using Alembic migrations
• Create MCP servers that give AI assistants structured, secure access to your database
• Handle real-world backend challenges: transactions, error handling, secrets management, query performance

Course Structure:

1. Phase 1 : SQL Foundations
    Databases intro, querying, DML, and schema design. Uses SQLite so there's zero setup friction for beginners.
2. Phase 2 : Intermediate SQL
    Aggregations, all JOIN types, subqueries/CTEs, views, and indexes. PostgreSQL is introduced here.
3. Phase 3 : Advanced SQL
   Window functions, data modeling/normalization, stored procedures/triggers, and JSON/array handling.
4. Phase 4 : Python + FastAPI
   sqlite3 → psycopg2 → SQLAlchemy ORM → Alembic migrations → FastAPI CRUD → JWT auth → full backend project with deployment
5. Phase 5 : MCP Servers
   MCP architecture, building a database-connected MCP server, security considerations, and a capstone that ties everything together.

By the end of this course, you will be able to:

• Write complex SQL queries confidently
• Design efficient relational database schemas
• Integrate SQL with Python applications
• Build production-ready REST APIs using FastAPI
• Secure backend systems with authentication and proper DB handling
• Create MCP servers backed by SQL databases

This course is designed for complete beginners and evolves into advanced backend engineering concepts with practical implementation.

No prior SQL knowledge required.

Prerequisites:

This course is designed to be accessible from the very beginning. The requirements are minimal:

1. A computer running Windows, macOS, or Linux. All tools used in this course are free
2. No prior SQL or database experience required 
3. Basic Python familiarity is helpful for Phases 4 and 5. Core concepts are explained as they appear
4. No prior experience with APIs, FastAPI, or MCP is required

For any clarifications or support please join the whatsapp group:
https://chat.whatsapp.com/DDeDFMpUAJc1x7dQXaYPl8?mode=gi_t

You can also write to ram@codeverra.com if you need any support!