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DATA ENGINEERING & AUTOMATION WITH AI COURSE

Learn to build, automate, and optimize data systems that drive AI and machine learning applications. Our Data Engineering & Automation with AI Course gives you the skills, hands-on practice, and creative and technical confidence to bridge traditional data engineering with AI-powered automation to create production-ready AI data infrastructure and intelligent automation systems.

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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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Want to learn more? Get answers to common questions and discover what makes learning with GA different. 

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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 for those who qualify.

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 data engineers, backend developers, technical managers, data platform leaders, AI/ML professionals, and data scientists looking to integrate AI automation into existing pipeline workflows and who want:

  • Hands-on experience with AI tools applied to real data engineering 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

  • Basic data or software development experience
  • Comfort working with Python, navigating file systems, writing simple SQL queries, and using development tools like VS Code, Git, and GitHub
  • Curiosity about how artificial intelligence connects with data workflows and willingness to explore modern data platforms, cloud tools, and automation frameworks
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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 the fundamentals of AI data lifecycle
  • Establish cloud-based data infrastructure foundations that support intelligent automation and machine learning workflows
  • Configure local and cloud environments
  • Build foundational data storage solutions and establish architecture patterns to support scalable pipelines
  • Design and implement scalable batch and streaming data workflows using modern orchestration tools
  • Transform raw data into analytics-ready formats
  • Use Airflow to orchestrate pipelines
  • Explore managing reusable features with Feast and building interactive components
  • Bridge traditional data engineering with AI integration through distributed processing, ML workflow automation, and enterprise data connection to Generative AI using RAG pipelines and vector databases
  • Automate infrastructure deployment and containerization
  • Apply comprehensive monitoring, security, and optimization strategies while completing a capstone project that demonstrates end-to-end AI data pipeline deployment
  • Implement governance, compliance best practices, and performance optimization techniques

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 essential skills of modern data pipeline orchestration, cloud infrastructure automation, and machine learning workflow management, developing hands-on capabilities with industry-standard tools to build production-ready AI data infrastructure.

✓ Hands-on practice: Learn through 17 hands-on lab hours with projects designed to help you build expertise in AI-integrated data engineering with end-to-end automation and GenAI system integration.

✓ Workplace-relevant application: Learn the technical foundations of automated data pipeline orchestration, cloud-native infrastructure management, and generative AI system integration that define modern data operations—focusing on hands-on skill development and enterprise-scale application rather than basic data concepts.

AI IS CHANGING WORK—WE HELP YOU STAY AHEAD 

  • 34%

    Projected data scientist employment growth in the next decade

    (Source: U.S. Bureau of Labor)

  • 50%

    of business decisions are already augmented or automated by AI agents

    (Source: Gartner)

  • 65%

    of organizations plan to increase AI investments in data processes

    (Source: Gartner)

KEY TAKEAWAYS  

You'll leave this course with these AI data engineering and automation skills:

MASTER AI-READY DATA INFRASTRUCTURE DESIGN

You'll develop expertise in designing and deploying cloud-native data architectures that support AI and machine learning workflows, learning to build scalable data storage solutions, implement automated pipeline orchestration, and integrate with modern AI systems using industry-standard tools and platforms.

BUILD PRODUCTION-READY AUTOMATED DATA PIPELINES

You'll gain practical experience creating end-to-end automated data workflows using Apache Airflow, dbt, and containerization technologies, developing skills to streamline data ingestion, transformation, and delivery while implementing MLOps practices for continuous integration and deployment.

DEPLOY ENTERPRISE-SCALE AI-INTEGRATED SYSTEMS

You'll learn to design, secure, and optimize distributed data environments that connect enterprise data to Generative AI systems, implementing monitoring strategies, security frameworks, and performance optimization techniques that ensure reliable AI-powered data operations at scale.

INSTRUCTORS WITH REAL-WORLD CRED

Learn from real-world data engineering 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 Data Engineering & Automation with AI is live, cohort-based training that equips data engineers, backend developers, technical managers, data platform leaders, AI/ML professionals, and data scientists with the end-to-end skills to build, automate, and optimize data systems that drive AI and machine learning applications. In 32 hours, you’ll develop expertise in building production-ready AI data infrastructure and intelligent automation systems.
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 Data Engineering & Automation with AI Course is designed for data engineers, backend developers, technical managers, data platform leaders, AI/ML professionals, and data scientists seeking to build production-ready AI data infrastructure and intelligent automation systems. Student backgrounds include:

  • Data engineers and backend developers looking to integrate AI automation into existing pipeline workflows
  • Technical managers and data platform leaders implementing automated workflows and MLOps practices
  • AI/ML professionals requiring expertise in automated data pipeline development and optimization
  • Data scientists needing production-level data engineering skills for ML deployment

This is an intermediate-level course designed for learners with basic data or software development experience. No prior experience with AI, machine learning, or cloud infrastructure is required. Learners should be comfortable working with Python, navigating file systems, writing simple SQL queries, and using development tools like VS Code, Git, and GitHub. A curiosity about how artificial intelligence connects with data workflows will help learners get the most out of the course.

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

General Assembly's Data Engineering & Automation with AI is live, cohort-based training that equips learners with the practical skills to build expertise in AI-integrated data engineering with end-to-end automation and GenAI system integration. The course bridges traditional data engineering with AI-powered automation, equipping professionals to build production-ready AI data infrastructure and intelligent automation systems. In 32 hours, you’ll learn industry-standard tools like Python, Apache Airflow, Kafka, dbt, Spark, Docker, Terraform, and MLflow to build and deploy scalable data pipelines that support real-world AI workloads. You’ll also receive a LinkedIn-verified digital badge upon successful course completion.

Key learning outcomes include:

  • Mastering AI-ready data infrastructure design
  • Building production-ready automated data pipelines
  • Deploying enterprise-scale AI-integrated systems
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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