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AI & Machine Learning Essentials
Lay the groundwork for analyzing data and providing business insights that drive decision-making with Python, SQL, and data visualization.
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Unlock the power of data
Start your journey into the world of AI & Machine Learning by mastering the essentials of data science: Python, SQL, and data visualization. These courses are designed to equip you with the foundational skills needed to explore, manipulate, and analyze data. You’ll dive into mathematical concepts, and descriptive statistics, learning to extract meaningful insights from complex datasets. Whether you’re solving business problems or telling stories with data, these courses lay the groundwork for a successful career in data science. By the end, you’ll be confident in your ability to approach data-driven challenges and create impactful visualizations that communicate your findings effectively.
The U of U // Flatiron School difference
Mentorship by a professional data scientist
Small group classes (max 5 students)
100% online programs
Prerequisites: No prior experience required. These courses are designed for beginners.
On completion of this program, you may choose to continue on to AI & Machine Learning Foundations I
AI and Data Science Essentials
Introduction to Python
FT: 1 week | PT: 3 weeks
This introduction to Python course is designed to equip you with essential skills applicable to data science. Throughout this course, you'll delve into fundamental programming concepts starting with scripting basics, understanding compiled vs. interpreted languages, and creating algorithms for simple tasks. You'll explore operators, loops (while and for), and data structures like tuples, lists, dictionaries, and strings. Additionally, you'll learn about libraries and functions, enabling you to leverage Python's extensive ecosystem for complex tasks. This course culminates in a project where you are tasked with developing a Python script to analyze data in a file. By the end of the course, you will have developed your understanding to develop efficient code, and tackle real-world challenges in the technical domain of data science.
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
Course focus:
- Python
- Data analysis with programming
Introduction to Data Science
FT: 1 week | PT: 3 weeks
You will embark on an immersive journey into the world of data analysis and visualization using Python. Throughout this course, you'll learn essential statistical measures, explore different types of data, and master data analysis techniques using the pandas library. You'll delve into data visualization with Python libraries such as Seaborn and Matplotlib, gaining insights into qualitative, quantitative, and multivariate data. The course culminates in a project, wherein you will apply your knowledge to perform a full exploratory data analysis process, demonstrate proficiency in descriptive data analysis and visualization using pandas. By the end of this course, you'll emerge equipped with the skills to gather insights from data, perform advanced data analysis, and effectively communicate your findings through visualizations and descriptive statistics.
What you'll learn:
- Implement foundational statistical measurement with data using scripting
- Demonstrate gathering insights from data with visualizations
- Integrate object oriented programming (OOP) with Python for data cleaning and analysis
Course focus:
- Python
- Seaborn and Matplotlib
- Statistical measures
- Data Analysis
- Data Visualization
Introduction to SQL
FT: 1 week | PT: 3 weeks
This course is designed to equip you with essential skills in structured query language (SQL), data engineering, database administration, and data analysis. Learn the essentials of mathematics, probability, and statistics for data science as well as learn how to perform more advanced data analysis and cleaning with Python. Throughout this course, you'll start by getting familiar with SQL, learning how to connect to databases, and performing basic queries. As you progress, you'll delve into more advanced topics such as filtering, ordering, and grouping data, as well as understanding table relations and implementing joins and subqueries. In the culminating project, you will demonstrate proficiency in SQL by applying queries on a database within a Python environment and reflecting on the database design and outputs. This project serves as a practical assessment of your ability to conceptually apply SQL knowledge and understanding of database concepts, preparing you for real-world data science challenges.
What you'll learn:
- Utilize industry standard techniques to analyze data with, programming language (Python), structured query language (SQL), and the cloud
- Explore and manipulate data with mathematics, probability, and statistics
- Analyze data for a business problem with visualizations with a dashboard
Course focus:
- Python
- SQL
- Data Engineering
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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