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      AI Fundamentals

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      Begin your learning pathway

      AI Fundamentals

      Take individual courses or combine them to build end-to-end AI capability for the modern workplace.

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      AI Data Analytics

      Take individual courses or combine them to master the tools and methodologies that power modern AI data analytics.

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    • Build AI Web Applications
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    AI Data Analytics

    Build AI data analytics skills, one course at a time. Build practical skills to analyze data and build the AI-powered insights that drive modern business decisions. Take individual courses or combine them to master the tools and methodologies that power modern AI data analytics.   

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    Get started on your AI data analytics journey. Tell us a little about you and we'll get in touch with more info.

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    • Overview
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    4 courses to build real AI data analytics skills

    Master the complete AI and data pipeline, from Python fundamentals and data visualization to advanced machine learning and intelligent database systems. Take any course individually or combine them all to complete the pathway and build expertise across the full spectrum of AI-powered data solutions.

    Data Analytics & Visualization

    • What you'll build: Interactive dashboards, business intelligence reports, data storytelling presentations
    • Key technologies: SQL, Tableau, PostgreSQL, cloud databases calculated fields, parameters
    • Skills you'll gain: SQL querying, database design, dashboard creation, data storytelling, accessibility design

    Python for AI & Data

    • What you'll build: End-to-end data analysis pipeline, machine learning models, automated data workflows
    • Key technologies: Python, Pandas, NumPy, SciPy, scikit-learn, Matplotlib, Seaborn, Jupyter, Git
    • Skills you'll gain: Data cleaning and transformation, statistical analysis, machine learning, data visualization, version control

    Database Management with AI Integration

    • What you'll build: Scalable data warehouses, automated ETL pipelines, cloud-based data systems
    • Key technologies: PostgreSQL, MongoDB Atlas, Snowflake, BigQuery, Apache Airflow, Docker, Apache Spark
    • Skills you'll gain: Database architecture, data pipeline automation, cloud deployment, performance optimization

    Applied AI & Deep Learning in Action

    • What you'll build: Neural networks, NLP applications, computer vision models, AI-powered chatbots
    • Key technologies: PyTorch, Hugging Face, LangChain, transformers, vector databases, AWS Bedrock
    • Skills you'll gain: Deep learning, natural language processing, model deployment, responsible AI practices

    OUR LEARNERS WORK AT TOP COMPANIES ACROSS THE GLOBE

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    Course Highlights

    The essential foundation for data-driven decision making. Learn to extract, clean, and analyze data using SQL and create compelling visual stories with Tableau. Master the complete analytics workflow from database querying to interactive dashboards that communicate insights clearly to both technical and non-technical audiences. Perfect for professionals ready to leverage data as a competitive advantage.

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    Transform complex data challenges into automated solutions using Python's core libraries. Master data manipulation with Pandas, statistical analysis with SciPy, and machine learning with scikit-learn. From data cleaning to model deployment, gain the programming skills that make you invaluable in today's AI-powered workplace—whether you're transitioning into data science or enhancing existing analytical expertise.

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    Move beyond basic database management to building intelligent, automated data infrastructures. Learn to design cloud-native data warehouses, implement automated pipelines with Apache Airflow, and integrate AI tools for smarter data processing. Master the technical architecture that powers modern AI applications and supports enterprise-scale analytics.

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    Master the cutting-edge AI skills that separate innovative solutions from basic automation. Build neural networks with PyTorch, create intelligent chatbots with LangChain, and deploy production-ready models using cloud AI platforms. Learn to implement responsible AI practices while developing applications that transform how businesses operate and serve customers.

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    Why this learning pathway works

    Learn at your own pace, with built-in flexibility 
    Each course is offered independently, so you can start with a single topic or progress through all four courses in this discipline over time. Take courses in the order that fits your interests, background, and schedule, or complete a full pathway to deepen your understanding across the AI-powered data analytics.

    Curriculum designed for today’s AI data landscape
    This pathway reflects how modern organizations collect, analyse, and operationalize data using AI. You’ll work across data analysis and visualisation, Python-based analytics, database systems, and applied machine learning, using current tools, technologies, and workflows that support intelligent, data-driven decision-making.
     
    Applied learning through hands-on practice 
    Each course balances instruction with active learning. You’ll spend a significant portion of time working through practical exercises and projects that reinforce analytical concepts, data workflows, and AI integrations. This hands-on structure supports deeper engagement with real-world datasets, tools, and modern analytics environments.

     

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    Total cost of each course is $2,950

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

    *Eligibility is based on terms and conditions.

    When you enroll in two eligible courses within this learning pathway, you become eligible for a bundle discount that allows you to take the remaining two courses in the pathway at no additional tuition or fee cost.

    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 the tuition for an individual course into two, three, or four payments while enrolled.

    As low as $712.50 per course.

    Apply for a 0% interest loan from Climb Credit

    This option allows students to pay the tuition of an enrolled course over 9 months per course.

    Students enrolling in multiple eligible courses may qualify for extended payment terms under the bundle loan option.

    Loan approval subject to eligibility.

    Apply for a loan from Climb Credit.

    Choose immediate repayment or an interest-only option.

    Interest rates range from 6.5–15%, with loan terms from 2–5 years (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

    You get a digital badge for every individual course you complete. Complete all courses in the discipline, get your pathway badge, and add it to your LinkedIn profile to showcase your new skills to your network.  
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    KEY TAKEAWAYS  

    Completing all of the courses in AI Data Analytics will equip you with these essential technical and analytical skills:

    MASTER THE COMPLETE DATA-TO-INSIGHTS PIPELINE

    You'll develop expertise across the full spectrum of data work—from extracting and cleaning raw data with SQL and Python to building predictive models with machine learning libraries. You'll create compelling visualizations and interactive dashboards that transform complex datasets into clear, actionable business insights that drive strategic decision-making.

    BUILD AND DEPLOY INTELLIGENT DATA SYSTEMS

    You'll learn to architect scalable, cloud-based data infrastructures using modern tools like Apache Airflow, Docker, and distributed computing frameworks. You'll implement automated ETL pipelines, design efficient data warehouses, and integrate AI capabilities into database systems—managing the technical backbone that powers enterprise-scale analytics and AI applications.

    DEVELOP PRODUCTION-READY AI SOLUTIONS

    You'll gain hands-on experience building neural networks, natural language processing applications, and computer vision models using PyTorch and Hugging Face. You'll deploy models responsibly using cloud AI platforms, implement monitoring systems, and apply ethical AI practices—culminating in portfolio-ready projects that demonstrate your ability to deliver complete AI solutions from concept to production.

    INSTRUCTORS WITH REAL-WORLD CRED

    Learn from data 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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    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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    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 courses in AI data analytics provide live, cohort-based training that equips learners with the in-demand data analytics and AI skills to analyze data and build the AI-powered insights that drive modern business decisions.
    Absolutely. Our flexible pathway approach lets you build your learning schedule to fit your life. Take multiple courses simultaneously, take one course at a time, or create your own custom learning timeline.

    Yes. You can bundle any four courses together to “build your own” learning pathway, or simply take as many courses from as many disciplines as you’d like. When it comes to learning at GA, the choice is yours.

    Yes. When you pass a course, you’ll receive a LinkedIn-verified digital badge, and if you complete four courses in a pathway, you’ll also receive a pathway badge. Thousands of GA alumni around the world use these badges 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.

    Some courses are truly beginner-friendly. Others require certain experience and knowledge. 

    Admissions requirements and recommended experience are explained in additional detail on each course webpage, as well as in the Student Catalog. Our Admissions team can discuss your background and learning goals to advise if the course (our courses) you’re interested in is a good fit for you.

    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 pathway 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. 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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