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PYTHON FOR AI & DATA COURSE

No programming background? No problem. Learn to automate data tasks, build machine learning models, and deliver end-to-end analytical solutions that drive strategic decision making. Our Python for AI & Data course gives you the skills, hands-on practice, and creative and technical confidence to bridge the gap between business acumen and technical capability.

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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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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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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.

When you enroll in two eligible courses, you become eligible for a bundle discount that allows you to take the remaining two courses at no additional tuition and fee costs.

The bundle discount applies only after enrollment in two qualifying courses. Students must enroll in the four courses individually and are charged applicable tuition and fees after enrollment occurs.

Bundle eligibility, course availability, and timing are subject to terms and conditions.

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.

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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 business professionals and analysts, mid-career professionals and skill builders, and decision makers and leadership looking to add technical programming skills to enhance their analytical capabilities and who want:

  • Hands-on experience with AI tools applied to real Python-driven AI and data 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

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BRING YOUR OWN AI 

Take this course using any major AI tool. No premium subscriptions required.


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Course Agenda

  • Configure and manage a Python environment using Jupyter for analytical work
  • Write and debug clean, structured code to automate data tasks
  • Learn core Python syntax, variables, data types, logic, and structured programming
  • Build modular programs using reusable functions and data structures
  • Apply statistical and computational techniques to identify and interpret patterns
  • Create effective visualizations using Matplotlib and Seaborn
  • Perform exploratory data analysis and time series forecasting
  • Conduct descriptive and inferential statistical analysis
  • Train and evaluate basic machine learning models using scikit-learn
  • Deploy models via cloud AI tools including AWS Bedrock
  • Understand the full lifecycle of AI solutions from development to production
  • Package and scale machine learning workflows
  • Implement debugging, refactoring, and version-control practices using Git and GitHub
  • Apply professional quality-assurance practices for reproducible work
  • Design and deliver a complete, reproducible data analysis project
  • Demonstrate professional analytical standards through capstone project
  • Implement debugging, refactoring, and version-control practices using Git and GitHub
  • Apply professional quality-assurance practices for reproducible work
  • Design and deliver a complete, reproducible data analysis project
  • Demonstrate professional analytical standards through capstone project

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: Build professional-level programming capabilities from zero experience. Learn the technical foundations of Python, data manipulation, and machine learning that enhance modern analytical roles—focusing on hands-on skill development and real-world application.

✓ Hands-on practice: Learn through 17 hands-on lab hours with projects to explore industry-standard libraries including Pandas, NumPy, SciPy, and scikit-learn to develop foundational programming skills and analytical thinking that enhance your effectiveness in a data-focused position.

✓ Workplace-relevant application: Learn Python programming from the ground up to solve real data and AI challenges in your current role. Master the essential technical skills of data analysis and machine learning, developing hands-on capabilities with industry-standard libraries to transform business problems into automated solutions—focusing on practical application and immediate impact.

AI IS CHANGING WORK—WE HELP YOU STAY AHEAD 

  • Python is the most used programming language in introductory computer science courses

    (Source: 2024 Global Survey)

  • Python usage grew 22.5% year over year

    (Source: GitHub, 2022) 

  • The global data science/analytics/AI job & platform market is expanding rapidly

    (Source: RefonteLearning, 2025)

KEY TAKEAWAYS  

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

MASTER PYTHON FUNDAMENTALS FOR DATA ANALYSIS

You'll build a solid foundation in Python programming, learning to configure environments, write clean code, and use core libraries like Pandas and NumPy to automate data tasks, enabling you to handle complex analytical challenges and streamline workflows in your current role.

DEVELOP END-TO-END MACHINE LEARNING CAPABILITIES

You'll gain practical experience with the complete ML workflow using scikit-learn and cloud deployment tools, building and evaluating models that solve real business problems while understanding how to implement intelligent solutions within your organization's existing systems.

CREATE PROFESSIONAL-GRADE ANALYTICAL PROJECTS

You'll develop skills to design, execute, and present complete data analysis workflows using version control and reproducible coding practices, demonstrating technical competency through projects that showcase your enhanced analytical capabilities to colleagues and leadership.

INSTRUCTORS WITH REAL-WORLD CRED

Learn from real-world Python 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 Python for AI & Data is live, cohort-based training that equips professionals with no programming background to solve real-world data and AI challenges in their current roles. In 32 hours, you’ll develop the skills to automate data tasks, build machine learning models, and deliver end-to-end analytical solutions that drive strategic decision making.
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 entry-level course designed for learners with no prior programming experience. Comfort with basic computer operations—such as organizing files, navigating browsers, and using online tools—will increase speed in learning new concepts.

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 Python for AI & Data is live, cohort-based training that equips learners with the practical skills to solve real-world data and AI challenges in their current roles. The course bridges the gap between business acumen and technical capability, equipping professionals to automate data tasks, build machine learning models, and deliver end-to-end analytical solutions that drive strategic decision making within their existing organizations. In 32 hours, you’ll learn industry-standard libraries including Pandas, NumPy, SciPy, and scikit-learn to develop foundational programming skills and analytical thinking that enhances your effectiveness in a data-focused role. You’ll also receive a LinkedIn-verified digital badge upon successful course completion.

Key learning outcomes include:

  • Mastering Python fundamentals for data analysis
  • Developing end-to-end machine learning capabilities
  • Creating professional-grade analytical projects
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:

*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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