About this course
The Advance Certificate in ORACLE and SQL is designed to equip students with advanced skills in database management and querying. This course covers essential topics such as database design, SQL programming, and performance tuning.
- Hands-on training with real-world projects.
- Expert instructors with industry experience.
- Flexible learning options and comprehensive study materials.
Tools you will master
Hands-on practice on the same software that companies use every day.
Google GeminiAI
ClaudeAI
Power BIAI
Power AutomateAI
PerplexityAI
NotebookLMAI
What you will study, module by module
- AI Basics and Everyday Uses
- Generative AI: How It Works
- Prompt Engineering Foundations
- AI for Study and Workplace Tasks
- Fact-Checking and Reliable Research
- Privacy, Safety and Responsible Use
- Integrated Practice and Review
- Analyst Workflow, Data Safety and AI Request Basics
- AI-Assisted Analysis in Excel
- AI-Assisted Analysis in Google Sheets
- Analysing Uploaded CSV and Excel Files with AI
- AI-Assisted SQL and Data Verification
- AI Dashboards and Reports
- Automated Reports and Email Summaries
After this course you will be able to
- Understand advanced SQL queries and their applications.
- Design and implement complex database structures.
- Optimize database performance using indexing and query tuning.
- Gain practical experience through real-world projects.
Projects you will build
Create a relational database for a fictional company.
Develop complex SQL queries to extract meaningful insights from data.
Optimize a poorly performing SQL query to improve execution time.
Implement a database backup and recovery strategy.
Jobs you can get after this course
Is this course for you?
Eligibility
Candidates should have a basic understanding of database concepts and SQL. A background in computer science or IT is preferred but not mandatory.
Questions students ask
The course duration is 3 months.
The fees for the course are 5000.
A basic understanding of SQL is preferred but not mandatory.
You will work on projects like creating databases, writing complex queries, and optimizing performance.