Course Introduction
Founded by database enthusiasts John and Sarah, Expertise in PL/SQL can meticulously empower both students and seasoned professionals. In a landscape where data proficiency is paramount, understanding SQL is the foundation, but to excel in advance database management systems, mastering PL/SQL is essential since it bridges gap between simple queries and powerful procedural logic.
In detail, SQL is a language for querying and managing databases, while PL/SQL is a procedural language extension enabling advanced programming within databases. Hence industry leaders like Oracle, Amazon, and IBM use both SQL and PLSQL for daily data operations. Therefore there is consistent demand for database experts with knowledge in SQL and PLSQL.
Course Objective
This course aims to provide comprehensive skills in Oracle’s procedural language, essential for effective database management. Students will be taught key concepts such as creating and optimizing stored procedures, triggers, and functions, implementing robust data validation, and leveraging PL/SQL for efficient data manipulation. Upon completion of course, students will acquire the skill to confidently design and implement sophisticated database solutions, enhance data integrity with triggers, and streamline business logic through stored procedures.
Key Topics
• SQL Fundamentals
• PL/SQL Programming
• Advanced Query Techniques
• Database Design and Normalization
• Data Security and Access Control
• Performance Tuning in PL/SQL
• Real-world Projects and Case Studies
Scope & Career Opportunities
SQL and PLSQL are the most sought after database programming languages in the job market. According to various job portals, the demand for Database Engineers, Architects are increasing at a rapid pace. Companies globally are always hunting for skilled database experts to manage their huge systems and data centers.
Target Audience
Salary Range
Job Roles
- Any Database Enthusiast
- Fresher/Professional
- Software Developers
- Software Engineers
- Maximum: 14 LPA
- Medium: 7 LPA
- Minimum: 3 LPA
- Hike upto 40%
- Database Developer
- Database Engineer
- Database Architect
- Backend Developer
Assessment Pattern
- Step-1: Go through the course curriculum & details
- Step-2: Apply through Website
- Step-3: Take mock test for level based personalized training
- Step-4: Take regular classes & assessments
- Step-5: Real time project
- Step 6: Resume Building & Mock Interviews
- Step-7: Internship
- Step-8: Placements
