AI & Machine Learning Capstone
Demonstrate your mastery of data science principles, advanced analytics, and machine learning models with 3 industry-level portfolio projects.
Qualification
Duration
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Skill Level
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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 so 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 GW RevU // Flatiron School difference:
- Be mentored by a world-class AI specialist
- Small group classes (max 8 students)
- 100% online programs
Program prerequisites: AI & Machine Learning Essentials, AI & Machine Learning Foundations I, AI & Machine Learning Foundations II
Career services built-in
Career services is 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.
AI and Data Science Capstone
Large Language Models
FT: 1 week | PT: 3 weeks
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
Course focus:
- MLOps Stack
- LLMs
- Prompt Engineering
Prerequisites:
- Course: Introduction to Machine Learning
- Course: Machine Learning with Scikit-Learn
- Course: Natural Language Processing, Time Series & Neural Networks
AI Capstone
FT: 4 weeks | PT: 12 weeks
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
Upfront - Save 8%
$5,200
Pay as You Go
$5,700
3 monthly payments of $1,900
FAQs
Yes. Certificate programs (Part-Time) are designed exactly for this. At 20 hours per week over 15 months, you can stay fully employed while building skills at a sustainable pace. These are built for working professionals who want to upskill 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 AI or cyber 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 only exceptions are the Accelerated AI Engineering Immersive and the Accelerated Cyber Engineering Immersive which require existing software engineering experience (midlevel or higher) because they're 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 or cyber exposure from day one. Both award the same professional certificate upon completion.
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