IBM
IBM Relational Database Administrator with GenAI Professional Certificate
IBM

IBM Relational Database Administrator with GenAI Professional Certificate

Build job-ready database skills. Gain practical experience in the high-demand fields of data management and data engineering, valued by employers with hands-on skills and experience employers look for.

Abhishek Gagneja
Joseph Santarcangelo
Rav Ahuja

Instructors: Abhishek Gagneja

Included with Coursera Plus

Learn more

Earn a career credential that demonstrates your expertise
4.7

(311 reviews)

Intermediate level

Recommended experience

6 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise
4.7

(311 reviews)

Intermediate level

Recommended experience

6 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Gain job-ready database skills by mastering core RDBMS concepts used across industries

  • Learn SQL and work with popular databases like MySQL and PostgreSQL to retrieve and manage data efficiently

  • Design smarter databases with techniques like data optimization, stored procedures, and seamless data transfers using ETL/ELT processes

  • Ensure top performance and security by optimizing queries, managing user roles, and leveraging AI to improve workflows

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
132 practice exercises

Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM

Professional Certificate - 11 course series

What you'll learn

  • List basic skills required for an entry-level data engineering role.

  • Discuss various stages and concepts in the data engineering lifecycle.

  • Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines.

  • Summarize concepts in data security, governance, and compliance.

Skills you'll gain

Data Pipelines, Data Warehousing, Extract, Transform, Load, Data Architecture, Data Security, Apache Spark, NoSQL, Data Governance, Big Data, SQL, Data Store, Relational Databases, Data Lakes, Data Science, Databases, and Apache Hadoop

What you'll learn

  • Describe data, databases, relational databases, and cloud databases.

  • Describe information and data models, relational databases, and relational model concepts (including schemas and tables). 

  • Explain an Entity Relationship Diagram and design a relational database for a specific use case.

  • Develop a working knowledge of popular DBMSes including MySQL, PostgreSQL, and IBM DB2

Skills you'll gain

Relational Databases, Database Design, SQL, PostgreSQL, MySQL, Data Manipulation, Database Architecture and Administration, Data Management, IBM DB2, Data Integrity, Database Management Systems, Data Modeling, Databases, and Command-Line Interface

What you'll learn

  • Develop a foundational understanding of Python programming by learning basic syntax, data types, expressions, variables, and string operations.

  • Apply Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes.

  • Demonstrate proficiency in using Python libraries such as Pandas and Numpy and developing code using Jupyter Notebooks.

  • Access and extract web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup.

Skills you'll gain

Python Programming, Pandas (Python Package), Data Structures, Web Scraping, NumPy, Application Programming Interface (API), Data Manipulation, JSON, Object Oriented Programming (OOP), Data Processing, Scripting, Restful API, Automation, Data Import/Export, Programming Principles, Computer Programming, Data Analysis, and Jupyter

What you'll learn

  • Demonstrate your skills in Python for working with and manipulating data

  • Implement webscraping and use APIs to extract data with Python

  • Play the role of a Data Engineer working on a real project to extract, transform, and load data

  • Use Jupyter notebooks and IDEs to complete your project

Skills you'll gain

Extract, Transform, Load, Web Scraping, Data Manipulation, Python Programming, Code Review, Restful API, Data Processing, Style Guides, Databases, Unit Testing, SQL, Data Transformation, Application Programming Interface (API), and Integrated Development Environments

What you'll learn

  • Analyze data within a database using SQL and Python.

  • Create a relational database and work with multiple tables using DDL commands.

  • Construct basic to intermediate level SQL queries using DML commands.

  • Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

Skills you'll gain

SQL, Pandas (Python Package), Databases, Data Analysis, Jupyter, Relational Databases, Data Manipulation, Query Languages, Transaction Processing, Python Programming, and Stored Procedure

What you'll learn

  • Describe the Linux architecture and common Linux distributions and update and install software on a Linux system.

  • Perform common informational, file, content, navigational, compression, and networking commands in Bash shell.

  • Develop shell scripts using Linux commands, environment variables, pipes, and filters.

  • Schedule cron jobs in Linux with crontab and explain the cron syntax. 

Skills you'll gain

Linux Commands, Shell Script, Linux, File Management, Unix, Scripting, Unix Commands, Linux Servers, Scripting Languages, Automation, Operating Systems, Bash (Scripting Language), Command-Line Interface, Network Protocols, Software Installation, and Ubuntu

What you'll learn

  • Describe and contrast Extract, Transform, Load (ETL) processes and Extract, Load, Transform (ELT) processes.

  • Explain batch vs concurrent modes of execution.

  • Implement ETL workflow through bash and Python functions.

  • Describe data pipeline components, processes, tools, and technologies.

Skills you'll gain

Data Pipelines, Extract, Transform, Load, Apache Airflow, Apache Kafka, Shell Script, Data Mart, Data Migration, Data Processing, Data Transformation, Performance Tuning, Scalability, Command-Line Interface, Web Scraping, Data Warehousing, Data Integration, Big Data, and Unix Shell

What you'll learn

  • Job-ready data warehousing skills in just 6 weeks, supported by practical experience and an IBM credential.

  • Design and populate a data warehouse, and model and query data using CUBE, ROLLUP, and materialized views.

  • Identify popular data analytics and business intelligence tools and vendors and create data visualizations using IBM Cognos Analytics.

  • How to design and load data into a data warehouse, write aggregation queries, create materialized query tables, and create an analytics dashboard.

Skills you'll gain

Data Warehousing, Snowflake Schema, Data Mart, Data Lakes, Star Schema, IBM DB2, SQL, Query Languages, PostgreSQL, Database Systems, Data Quality, Database Design, Data Modeling, Data Cleansing, Data Validation, Data Architecture, Extract, Transform, Load, and Data Integration

What you'll learn

  • Create, query, and configure databases and access and build system objects such as tables.

  • Perform basic database management including backing up and restoring databases as well as managing user roles and permissions. 

  • Monitor and optimize important aspects of database performance. 

  • Troubleshoot database issues such as connectivity, login, and configuration and automate functions such as reports, notifications, and alerts. 

Skills you'll gain

Database Management, Database Architecture and Administration, MySQL, Disaster Recovery, Relational Databases, Database Systems, Database Design, Encryption, Database Administration, Data Storage Technologies, Operational Databases, System Monitoring, PostgreSQL, User Accounts, IBM DB2, Performance Tuning, and Role-Based Access Control (RBAC)

What you'll learn

  • Gain real-world, hands-on experience in database administration that you can discuss in interviews and showcase in your portfolio.

  • Design and implement OLTP and data warehouse schemas, manage data, and query data in MySQL and PostgreSQL 

  • Perform ETL operations, extract data from RDBMS, NoSQL databases, and weblogs, and manage pipelines using Apache Airflow

  • Apply backup, restore policies, automate the process, set up user access management policies, encrypt data, and optimize SQL queries

Skills you'll gain

Data Warehousing, Performance Tuning, Database Management, Apache Airflow, Relational Databases, SQL, Database Design, Data Pipelines, MySQL, Extract, Transform, Load, Data Security, Data Transformation, Disaster Recovery, Operational Databases, PostgreSQL, Database Architecture and Administration, and Database Administration

What you'll learn

  • Leverage various generative AI tools and techniques in data engineering processes across industries

  • Implement various data engineering processes such as data generation, augmentation, and anonymization using generative AI tools

  • Practice generative AI skills in hands-on labs and projects for data warehouse schema design and infrastructure setup

  • Evaluate real-world case studies showcasing the successful application of Generative AI for ETL and data repositories

Skills you'll gain

Generative AI, Extract, Transform, Load, Data Analysis, Data Synthesis, Responsible AI, Database Design, Data Infrastructure, Artificial Intelligence, Data Architecture, Data Quality, Query Languages, Data Mining, Data Ethics, Data Warehousing, and Data Pipelines

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Abhishek Gagneja
IBM
6 Courses240,853 learners
Joseph Santarcangelo
IBM
36 Courses2,185,735 learners
Rav Ahuja
IBM
56 Courses4,347,424 learners
Hima Vasudevan
IBM
4 Courses631,736 learners
Sandip Saha Joy
IBM
5 Courses646,676 learners
Priya Kapoor
IBM
1 Course227,031 learners
Lavanya Thiruvali Sunderarajan
8 Courses226,965 learners
Yan Luo
IBM
7 Courses378,165 learners
Ramesh Sannareddy
IBM
15 Courses449,243 learners
Sabrina Spillner
IBM
1 Course63,273 learners

Offered by

IBM

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¹Based on Coursera learner outcome survey responses, United States, 2021.