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AI & Machine Learning Essentials
Delve deeper into data science with advanced data processing, regression analysis, and machine learning.
Qualification
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Value
Learn the essentials of artificial intelligence
Take the first step towards your career as an artificial intelligence specialist
This hands-on program is for aspiring artificial intelligence specialists who want to learn how to work with data and AI in the technology industry. Under the guidance of your industry mentor, you'll learn Python programming for data analysis and visualizations, cloud computing for generative AI and dashboards, the basics of machine learning, and gain hands-on experience to tackle real-world data challenges. By the end, you'll be prepared to excel in your artificial intelligence studies.
The U of U // Flatiron School difference
Mentorship by an artificial intelligence specialist
Small group classes (max 5 students)
100% online programs
Over the course of 9 weeks you'll go from complete beginner to understanding the basics of one of the most popular coding languages in the world and the intricacies of machine learning AI. Throughout the program you’ll be personally mentored by an industry expert - expect highly personalized mentorship with small class sizes. Classes are 100% online, so you can learn from the comfort of your own home, in your own time.
On completion of this program, you may choose to continue on to Artificial Intelligence Foundations I
Curriculum
Industry-approved curriculum to support your journey into the world of AI
Introduction to Python - 3 weeks
This introduction to Python course covers essential programming concepts for data science. You'll learn scripting basics, algorithms, and data structures like tuples and dictionaries, and explore Python libraries and functions. The course ends with a project where you'll develop a Python script to analyze data, preparing you to tackle real-world data science challenges.
What you'll learn:
- Apply the basics of programming language methodologies to real world scenarios
- Demonstrate foundational skills for scripting with a programming language, python
Cloud Computing, Generative AI, and Dashboards - 3 weeks
This course focuses on cloud computing for cost-effective, scalable data processing. You'll master technical components like PySpark to integrate Python, SQL, and Spark for handling structured and semi-structured data. Using libraries such as Numpy, Pandas, and PySpark, you'll work with big data and create stunning visualizations with Python libraries like Seaborn. The course also explores advanced data analysis using generative AI and interactive dashboards, culminating in a project that brings big data to life through visualizations.
What you'll learn:
- Create a dashboard using data science methodologies with industry standard tool(s)
- Model exploratory data analysis with tools for multiple data sets. (SQL and SQL table relations)
- Utilize programming techniques to process large data samples with (PySpark and Big Data)
Introduction to Machine Learning - 3 weeks
This course introduces the fundamentals of AI and machine learning, covering core concepts like statistical learning theory and supervised learning. You'll explore models such as logistic regression, decision trees, and support vector machines, and learn to evaluate them using metrics like ROC AUCs. The course concludes with a project where you'll select and deploy the ideal model for a specific task, demonstrating your mastery of the data science pipeline.
What you'll learn:
- Utilize foundational machine learning modeling like decision trees and supervised learning
- Prepare data for machine learning modeling with preprocessing (feature extraction) and normalization
- Utilize mathematics, statistics, and probability for data science methodologies to derive insights
Tuition
Upfront - Save 10%
$2,700
Pay as You Go
$3,000
3 monthly payments of $1,000
FAQs
Yes. The AI & Data Science Certificate (Part-Time) is designed exactly for this. At 20 hours per week over 15 months, you can stay fully employed while building AI fluency at a sustainable pace. It’s built for working professionals who want to upskill into AI and add technical depth to an existing career without stepping away from their current role.
Flatiron facilitates the employer match. You’ll work approximately 20 hours per week in a production-aligned environment alongside your coursework. Apprenticeships are paid and supervised by a workplace supervisor.
If you have production coding experience – frontend, backend, or full-stack, and you feel the pressure of AI reshaping what it means to be a strong engineer, you likely qualify. This isn’t a beginner course; it’s a rigorous upskilling path for engineers who don’t want to lose momentum. Speak with an Admissions rep to confirm. If you don’t have that background, the Work-Integrated: AI Engineering Immersive is the right work-integrated option for you.
Most programs have no prerequisites. You just need to be 18+, have a high school diploma or equivalent, and have English proficiency. Whether you’re a recent grad, someone transitioning from a non-technical field, or a working professional looking to pivot, you’re eligible. The one exception is the Accelerated AI Engineering Immersive, which requires existing software engineering experience (midlevel or higher) because it’s built for engineers who are already in production environments.
Certificate programs are purely educational. You learn, build a portfolio, and graduate ready for the job search. If you’re entering the workforce or transitioning from a non-technical field and want a clear, structured path, this is for you. Work-integrated programs combine coursework with a paid apprenticeship, so you gain work experience and income during the program. This is a strong fit for professionals who need income continuity during a pivot, or experienced engineers who want production AI exposure from day one. Both award the same professional certificate upon completion.
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