This Advanced Database Management Systems (DBMS) and SQL course is a comprehensive guide for learners aiming to master database design, querying, and optimization. The course begins with a clear overview of DBMS, explaining why databases are essential, introducing relational models, SQL fundamentals, and character encoding. Learners explore running SQL commands in PostgreSQL, intermediate and advanced SQL, triggers, and formal relational query languages.

The course emphasizes database design and ER modeling, including entity-relationship diagrams, mapping cardinalities, participation constraints, and translating ER diagrams into relational schemas. Relational database design is covered extensively, including normalization, multi-valued dependencies, temporal data, lossless join decomposition, dependency preservation, and case studies.

Advanced topics include algorithms and data structures for databases, storage structures, indexing, hashing, query processing and optimization, transactions, serializability, recoverability, concurrency control, backup and recovery, and performance tuning. The course also introduces non-relational DBMS (NoSQL) and application design using SQL, Python, and web or mobile platforms. Each section includes practical examples, solved problems, and case studies. By the end, learners will confidently design, implement, query, and optimize databases for academic, professional, or enterprise use.