AI & Machine Learning Capstone

AI & Machine Learning Capstone

Develop 3 projects to showcase in your professional AI specialist portfolio, guided by an expert in the field.

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$5,200.00

$6,300.00
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$499.99/mo
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Financing and flexible payment options available. Contact Us

AI & Machine Learning Capstone

Powered by
Flatiron School

Develop projects to showcase in your professional AI specialist portfolio, guided by your expert facilitator.

$5,200.00 USD

$6,300.00 USD
30-Day Money-Back Guarantee

Financing and flexible payment options available. Learn more

Next Cohort Date

January 5, 2026
December 2, 2024

Program Features

Qualification

Industry Certificate

Duration

15 weeks

Commitment

20 hours weekly

Skill Level

Intermediate

Delivery

Weekly instruction, feedback and support

Start Date

First Monday of each month

Led By

Experienced industry instructors

Features

Flexible schedules and small class sizes (8 max)

Value

Affordable high quality education

Develop a professional artificial intelligence portfolio

Guidance and feedback from experienced AI specialists

This program is the last step in beginning your career in data and AI. Over 15 weeks, you'll be asked to combine everything you've learned to develop three original portfolio projects to feature in your professional portfolio, guided by an industry expert. You'll complete the program ready to enter the data industry as an artificial intelligence specialist, with a portfolio to back you up.

The SMU x Flatiron School difference: 

  • Be mentored by a world-class AI specialist
  • Small group classes (max 5 students)
  • 100% online programs

Career services built-in

Career services are included with each capstone and bootcamp program. Designed by and for tech professionals, you'll experience a full technical interview process from start to finish, getting direct and personalized feedback each step of the way. Visit the career services page to learn more about the full process.

Program prerequisites: Artificial Intelligence Essentials, Artificial Intelligence Foundations I

Curriculum

Industry-approved curriculum to support your journey into AI

Artificial Intelligence Capstone - 15 weeks

Large Language Models

This course equips you with the skills to deploy and optimize cutting-edge machine learning systems in real-world scenarios. You will explore the open-source MLOps stack, learning to manage the entire ML lifecycle, including deployment, monitoring, and version control. The course emphasizes data-centric approaches for enhancing the performance of large language models (LLMs) through high-quality data curation and preprocessing. You will also master techniques for fine-tuning pre-trained models and leveraging prompt engineering to optimize output for specific tasks. By the end of the course, you will be adept at integrating and maintaining advanced AI solutions in dynamic environments.

What you’ll do:

  • Utilize machine learning models and the open-source MLOps Stack
  • Integrate data-centric LLMs with data science methodologies to derive insights
  • Leverage model fine-tuning and prompt engineering to optimize business solution oriented outputs

Prerequisites:

  • Course: Introduction to Machine Learning
  • Course: Machine Learning with Scikit-Learn
  • Course: Natural Language Processing, Time Series & Neural Networks

AI Capstone

In this intensive course you will be tasked with developing 2 different projects. In these projects you will be expected to frame your projects around solving a business problem. You will be expected to bring all your skills from Foundations together to build 2 different methods: a classification supervised model, and a classified unsupervised large language model.

What you’ll do:

  • Integrate data science process using at least one method of non-regression supervised learning
  • Integrate data science process using at least one method of non-regression unsupervised learning
  • Utilize mathematics, statistics, & probability for data science methodologies to derive business insights

Prerequisites:

  • Course: Introduction to Machine Learning
  • Course: Machine Learning with Scikit-Learn
  • Course: Natural Language Processing, Time Series & Neural Networks
  • Course: Neural Networks & Similar Models
  • Course: Large Language Models

Tuition

Flexible small group classes are the best way to learn from top industry instructors in a fun, collaborative environment, while still getting plenty of personalized feedback.

Upfront

$5,200

Pay as You Go

$5,700

3 monthly payments of $1,425

Course Mentors

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Full Name

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Full Name

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Full Name

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Full Name

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AI & Machine Learning Capstone FAQs

Learn more

What is the next step after I apply?

1. Take the Assessment: Take our short 15-minute cognitive assessment. Don’t worry, no studying or technical skills required! This step is required for admission.

2. Create a Genius Account: You'll receive an email from Genius, a platform we use to guide you along the registration process. You'll create an account and use it to register through our course catalog.

Will I earn a certificate or some other credential when I complete the Capstone program?

Yes! Upon the completion of each program in the pathway, you will receive a Credly digital badge from SMU and a completion certificate. Digital badges can be used in email signatures or digital resumes, and certificates can be displayed on portfolio websites and social media sites such as LinkedIn, Facebook, and Twitter.

Thousands of our community members use their program certificates and badges to demonstrate skills to potential employers — including our hiring partners — along with their LinkedIn networks. Our curriculum is powered by Flatiron School, whose programs are well-regarded by many top employers, who contribute to our curriculum, hire our community, and partner with us to train their own teams.

Ready to Make a Change?

Whether you want to analyze data, develop software, prevent the next cyber attack, or create the next internet-breaking AI, we provide the training to bring your ideas to life.

Let's build your future together.

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