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DATABASE MANAGEMENT WITH AI INTEGRATION 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 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, New York, Oklahoma, District of Columbia, Wisconsin, and Wyoming are not eligible to enroll in this program.

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OUR LEARNERS WORK AT TOP COMPANIES ACROSS THE GLOBE

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PURCHASING MADE EASY

The total cost of this course is $2,950.

Discounts available when you pay in full.

Divide tuition into two, three, or four easy payments while in school.

As low as $712.50.

Apply for a 0% interest loan from Climb Credit

Pay zero interest on manageable payments over 9 months with the 0% Interest Loan.

Loan approval subject to eligibility.

Apply for a loan from Climb Credit.

Begin repaying immediately, or choose an interest-only option.

Get an interest rate from 6.5–15%, with a Climb loan term from 2–5 years or an interest rate ranging 6.99 – 17.99% APR.

Loan approval subject to eligibility. Loan terms displayed are effective as of 1/1/2026.

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. 
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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
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BRING YOUR OWN AI 

This course works with any major AI platform. Use your existing account or free tiers from: OpenAI ChatGPT, Google Gemini, Anthropic Claude, Microsoft Copilot, or Perplexity. 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)

  • 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)

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

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“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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GET MORE INFO

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.

North America
+1 844 969 4669
UK
+44 20 3991 6088
Singapore
+65 6018 7933
Australia
+61 1800 845 068

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 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.

Our Database Management with AI Integration Course is designed for database professionals and data engineers, technical managers and infrastructure leaders, and advanced analytics and AI professionals seeking to modernize their skills with automation and cloud technologies. Student backgrounds include: 

  • Database administrators and data engineers looking to enhance their expertise in automated pipeline development and optimization 
  • Backend developers needing to build scalable database solutions with modern cloud platforms
  • Systems architects designing data infrastructure that supports machine learning workflows
  • Business intelligence developers, AI engineers, and data scientists requiring knowledge of data pipeline automation and system integration

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 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 or homework, 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:

*Course modality options vary by location, pending market availability. Please contact our Admissions team to discuss 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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