DATABASE MANAGEMENT WITH AI INTEGRATION (Online) COURSE

Build essential skills to design, manage, and automate data systems in today's cloud-based and AI-driven environments. Our Database Management with AI Integration (Online) course gives you the skills, hands-on practice, and creative and technical confidence to bridge the gap between traditional database management and modern AI-powered data infrastructure while optimizing data systems for scalability, performance, and intelligent automation.

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Learn in-demand skills to thrive in the AI era. Tell us a little about you and we’ll get in touch with more info.

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Residents of Alabama, Connecticut, Kentucky, Nebraska, Oklahoma, Wisconsin, and Wyoming are not eligible to enroll in this course.

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OUR LEARNERS WORK AT TOP COMPANIES ACROSS THE GLOBE

Build your AI data analytics foundation

This course is one of four courses in the AI Data Analytics pathway, designed to help learners turn data into insight using modern analytics and AI-driven tools. You can take this course on its own, or complete the full pathway to deepen your understanding of data analysis, visualization, predictive insights, and AI-enabled decision-making. More courses in this pathway:

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the Total cost of this course is $2,950

Take two courses and qualify for an additional two courses for free. With a bundle discount, all four courses are available for a total tuition of $5,900.*

*Eligibility is based on terms and conditions.

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Show off your new skills

Complete your course, get your badge, and add it to your LinkedIn profile to showcase your new skills to your network.

Who’s this for?

This course is for database professionals and data engineers, technical managers and infrastructure leaders, and advanced analytics and AI professionals looking to enhance expertise in automated pipeline development and optimization and who want:

Hands-on experience with AI tools applied to real database management scenarios
Learning with structure, community, and live instruction
Skills you can apply immediately to current projects

TECHNICAL SETUP

Laptop with administrator access
13"+ screen, 8GB RAM, and 40GB free storage
Stable internet with dual-monitor setup and webcam for online sessions
Full technical setup guide and support provided after enrollment

RECOMMENDED EXPERIENCE

A foundation in Python programming and SQL querying
Familiarity with basic data workflows, version control (Git/GitHub), and cloud computing concepts
Interest in engaging effectively with advanced database management and AI integration content

BRING YOUR OWN AI

This course works with any major AI platform. Use your existing account or free tiers from:

No premium subscriptions required—learn with the tools you already have.

Course Agenda

Learn foundational concepts of modern database systems within cloud environments
Design, normalize, and manage both SQL and NoSQL databases for scalable performance
Explore modern database architectures and apply normalization techniques
Query and manage relational data in managed cloud environments

Scale databases for high performance and work with non-relational data systems
Implement automated mechanisms for data movement and transformation
Work hands-on with document and key-value stores using MongoDB Atlas
Apply indexing and querying strategies for optimal database efficiency

Design and implement scalable data warehouses using cloud-based platforms
Build data pipelines and understand ETL concepts for efficient data processing
Work with Snowflake and BigQuery for large-scale data analysis
Optimize query performance and cost efficiency using advanced techniques

Automate data pipelines using Airflow and implement containerization with Docker
Apply monitoring, logging, and security best practices for database systems
Combine automation and containerization to deploy reliable data solutions
Implement DevOps practices for continuous deployment of data infrastructures

Explore distributed computing frameworks like Apache Spark for large-scale processing
Integrate AI and machine learning components into automated data pipelines
Optimize and maintain large-scale data architectures for performance and reliability
Complete capstone project building and deploying an end-to-end data system

WHAT MAKES THIS PROGRAM DIFFERENT

✓ Live cohort learning: Learn with a structured group of professionals who share your goals. Get real-time answers from expert instructors during live sessions.

✓ Comprehensive skill stack: Learn the technical foundations of cloud-native databases, automated pipeline development, and AI workflow integration that define modern data infrastructure—focusing on hands-on skill development and enterprise-scale application.

✓ Hands-on practice: Learn through 17 hands-on lab hours with projects designed to help you master the essential skills of automated data pipeline development, database optimization, and machine learning integration, developing capabilities with industry-standard tools to modernize data infrastructure and enhance organizational data operations.

✓ Workplace-relevant application: Learn industry-standard tools like PostgreSQL, MongoDB Atlas, Airflow, and Docker to develop expertise in database architecture, automated data pipelines, data warehousing, and AI system integration.

AI IS CHANGING WORK—

WE HELP YOU STAY AHEAD

Database architect roles offer median salaries of $135,980 annually

(Source: U.S. Bureau of Labor Statistics, 2025)
PostgreSQL usage reached 49% among all developers

(Source: 2024 Stack Overflow Developer Survey)
Database Administrator ranks among the "Best Jobs of 2025”

(Source: U.S. News & World Report, 2025)

KEY TAKEAWAYS

You'll leave this course with these database and AI integration skills:

MASTER MODERN DATABASE ARCHITECTURE AND DESIGN

You'll develop expertise in designing and managing both relational and non-relational databases in cloud environments, learning to optimize database performance, ensure scalability, and implement modern data storage solutions that support your organization's analytical and operational needs.

BUILD AUTOMATED DATA PIPELINES WITH AI INTEGRATION

You'll gain practical experience creating automated data pipelines using industry-standard tools like Airflow and Docker, developing skills to streamline data movement, implement ETL processes, and integrate machine learning components into data workflows for enhanced organizational efficiency.

DEPLOY ENTERPRISE-SCALE DATA SYSTEMS WITH SECURITY AND MONITORING

You'll learn to design, secure, and optimize distributed data environments using modern platforms and tools, implementing monitoring strategies, performance optimization techniques, and compliance frameworks that ensure reliable and efficient data operations at enterprise scale.

INSTRUCTORS WITH REAL-WORLD CRED

Learn from real-world database management pros who bring hands-on experience straight from the field to the classroom. Every GA instructor is committed to giving the personalized feedback and support you need to crush your goals every step of the way.

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THE WORD FROM GA GRADS

“Getting exposure and time with our instructor and classmates meant we could get to know other industries and how they approach marketing problems. This course gave me the confidence in my decision to move to marketing.”

Kiki Tolentino

GA grad, Digital Marketing Short Course

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Learning AI skills is no longer optional. Tell us a little about you—and we’ll get in touch with more info.

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Need to speak with someone directly? Our admissions team is here to help.

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Australia

QUESTIONS? WE'VE GOT ANSWERS.

AI is reshaping every role and every industry, and learning AI skills to enhance your role is no longer optional. General Assembly's Database Management with AI Integration (Online) is live, cohort-based training that equips database professionals, data engineers, and cross-functional collaborators with the skills to design, manage, and automate data systems in today's cloud-based and AI-driven environments. In 32 hours, you’ll develop expertise in database architecture, automated data pipelines, data warehousing, and AI system integration.

Yes. When you pass this course, you’ll receive a LinkedIn-verified digital badge. Thousands of GA alumni around the world use their course badge to demonstrate their skills to their LinkedIn networks, potential employers, and more. Our courses are well-regarded by many top employers, who contribute to our curriculum and partner with us to train their own teams.

This is an intermediate-level course for learners who are ready to work with modern data architectures, automated pipelines, and cloud-based database systems. Learners should come in with solid SQL skills, basic Python or scripting experience, familiarity with cloud concepts and data pipelines, and comfort using Git and command-line tools.

Admissions requirements and recommended experience are explained in additional detail in the Student Catalog. Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.

General Assembly's Database Management with AI Integration (Online) is live, cohort-based training that equips learners with the practical skills to build expertise in modern database management with automation and AI integration for cloud-native environments. The course bridges the gap between traditional database management and modern AI-powered data infrastructure, equipping professionals to optimize data systems for scalability, performance, and intelligent automation within their current organizations. In 32 hours, you’ll learn industry-standard tools like PostgreSQL, MongoDB Atlas, Airflow, and Docker to develop expertise in database architecture, automated data pipelines, data warehousing, and AI system integration. You’ll also receive a LinkedIn-verified digital badge upon successful course completion.

Key learning outcomes include:

Mastering modern database architecture and design
Building automated data pipelines with AI integration
Deploying enterprise-scale data systems with security and monitoring

Yes. All of our courses are designed for busy professionals with full-time work commitments. There’s no prework, and the workload is designed to be manageable with a full-time job. If you need to miss a session or two, we offer resources to help you catch up. We recommend you discuss any planned absences with your instructor.

Our Admissions team is here to help and can advise whether this course is right for you and your learning goals. You can also:

Attend an info session online
Explore your financing options
Apply to enroll in the course.*

*Course modality options vary by location, pending market availability and eligibility. Please contact our Admissions team to discuss course eligibility and what version is available in your location.

Education does not guarantee outcomes, including, but not limited to, employment or future earnings potential.

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Topics

AI Fundamentals

Data Analytics

IT

Machine Learning

Marketing

Product Management

Software Engineering

User Experience & Design

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Begin your learning pathway

Begin your learning pathway

Begin your learning pathway

Begin your learning pathway

Begin your learning pathway

DATABASE MANAGEMENT WITH AI INTEGRATION (Online) COURSE

GET A SYLLABUS

PICK YOUR START DATE

JOIN A GROUP INFO SESSION

OUR LEARNERS WORK AT TOP COMPANIES ACROSS THE GLOBE

Build your AI data analytics foundation

Data Analytics & Visualization

Python for AI & Data

Applied AI & Deep Learning in Action

the Total cost of this course is $2,950

Take two courses and qualify for an additional two courses for free. With a bundle discount, all four courses are available for a total tuition of $5,900.*

Bundle discount

Installments

PRIVATE LOANS – 0% INTEREST

PRIVATE LOANS – INTEREST-BEARING

LEARN MORE ABOUT FINANCING & TUITION

Show off your new skills

Who’s this for?

TECHNICAL SETUP

RECOMMENDED EXPERIENCE

RECOMMENDED EXPERIENCE

BRING YOUR OWN AI

Course Agenda

Unit 1: Designing and Managing Cloud-Based Databases

Unit 2: Building Automated Data Pipelines and Workflows

Unit 3: Creating Scalable Data Warehouses and Systems

Unit 4: Integrating AI and Automation into Data Systems

Unit 5: Securing, Monitoring, and Optimizing Systems

WHAT MAKES THIS PROGRAM DIFFERENT

AI IS CHANGING WORK—

WE HELP YOU STAY AHEAD

KEY TAKEAWAYS

MASTER MODERN DATABASE ARCHITECTURE AND DESIGN

BUILD AUTOMATED DATA PIPELINES WITH AI INTEGRATION

DEPLOY ENTERPRISE-SCALE DATA SYSTEMS WITH SECURITY AND MONITORING

INSTRUCTORS WITH REAL-WORLD CRED

THE WORD FROM GA GRADS

Kiki Tolentino

GET MORE INFO

Let’s Chat

QUESTIONS? WE'VE GOT ANSWERS.

WHY ARE DATABASE MANAGEMENT WITH AI INTEGRATION SKILLS RELEVANT TODAY?

WILL I EARN A DIGITAL BADGE?

DO I NEED PRIOR EXPERIENCE?

WHAT DOES MY TUITION COVER?

WHAT WILL I WORK ON DURING THE COURSE?

CAN I WORK FULL-TIME WHILE ENROLLED IN THIS COURSE?

WHAT IF I HAVE MORE QUESTIONS?