Course Summary

This course is designed to equip learners with the foundational and advanced skills required to excel as a Database Engineer. The course covers database design, development, management, and optimization techniques essential for ensuring data integrity, availability, and performance in modern information systems. By the end of the course, learners will have a comprehensive understanding of database technologies, from relational databases to NoSQL systems, and be able to manage large-scale databases effectively.

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Database Fundamentals:
- Introduction to databases and database management systems (DBMS)
- Relational database design and normalization
- SQL (Structured Query Language) for data manipulation and queries
Database Development:
- Creating and managing databases using SQL
- Advanced SQL: Joins, subqueries, transactions, and indexing
- Stored procedures, triggers, and views
Database Management:
- Database administration, backup, and recovery
- User access control and security management
- Performance tuning and optimization
NoSQL Databases:
- Introduction to NoSQL databases (MongoDB, Cassandra, etc.)
- Differences between relational and non-relational databases
- Working with distributed databases and large datasets
Cloud-Based Databases:
- Introduction to cloud database solutions (AWS RDS, Google Cloud SQL, etc.)
- Setting up and managing cloud-based databases
- Data replication and backup in cloud environments
Data Modeling & Architecture:
- Conceptual, logical, and physical data modeling
- Entity-relationship diagrams (ERD)
- Database scalability and architecture design

Hands-On Labs:
- Assemble and disassemble computer hardware.
- Install various operating systems and troubleshoot installation errors.
Troubleshooting Exercises:
- Diagnose and fix common hardware and software issues in simulated environments.
- Configure network setups and solve connectivity issues.
Quizzes & Written Exams:
- Covering key theoretical concepts of hardware, software, and networking.
Final Project:
- Complete a comprehensive repair project where students diagnose a faulty computer, resolve multiple issues (both hardware and software), and provide a detailed report on the steps taken and solutions applied.

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

Design, implement, and manage relational and non-relational databases.
Write complex SQL queries to manipulate and retrieve data efficiently.
Optimize database performance through indexing, query optimization, and storage management.
Secure databases by managing access controls, encrypting data, and implementing recovery strategies.
Work with cloud-based database solutions and handle large-scale, distributed data systems.
Create and interpret data models to map out the architecture of databases.
Employ backup and recovery strategies to ensure database availability and reliability.

This course will prepare students for roles such as Database Engineer, Database Administrator, and Data Architect, with skills that can be applied across industries ranging from finance to tech startups.

Regular & Intensive Learning Option

Class Schedule:
Morning Students – Monday to Thursday, 09:00 am – 03:00 pm
Afternoon Students – Monday to Thursday, 03:30 pm – 08:00 pm
Teaching Method: Online & Offline / Online only (eg. Google meet video call)
Course Duration: 6 sessions (15 months)
Session Length: 1 session = 3 months
DWTA Qualification: Academic Diploma
CTVET’s National TVET Qualification Framework (NTVETQF): Higher National Diploma
Tuition & Guidance Fees:
- Ghc 2600 per session or
- Ghc 900 per month

Slow-Paced & Relaxed Learning Option

Class Schedule:
Weekend Evening Students – Friday to Sunday, 06:00 pm – 08:00 pm
Teaching Method: Online & Offline / Online only (eg. Google meet video call)
Course Duration: 7 sessions (21 months)
Session Length: 1 session = 3 months
DWTA Qualification: Academic Diploma
CTVET’s National TVET Qualification Framework (NTVETQF): Higher National Diploma
Tuition & Guidance Fees:
- Ghc 2600 per session or
- Ghc 900 per month

Fill Application Form

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Database Engineer

Course Summary

Regular & Intensive Learning Option

Slow-Paced & Relaxed Learning Option

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