Flatiron School Launches Artificial Intelligence Curriculum Enhancements For Students
We’ve rolled out curriculum enhancements to each of our four courses, focused on teaching students to wield the power of AI.
Enhancements teach students how to effectively leverage artificial intelligence (AI) tools, giving them a competitive edge in the job market.
Flatiron School is excited to announce that we’ve launched curriculum enhancements designed to teach students how to leverage powerful, emerging artificial intelligence (AI) tools.
The curriculum enhancements affect each of our four disciplines – software engineering, data science, cybersecurity, and UX / UI product design – and come at a time where AI requirements are increasingly appearing in job descriptions. For the past 10 years, we have been committed to keeping our curriculum modern, aligning with the ever-evolving tech landscape. Now, as new AI tools emerge, we continue to lead tech education in providing students with the skills needed to thrive in today’s job market.
“Even as AI reshapes the industry, we expect demand for tech talent to remain strong,” said Kate Cassino, Flatiron School CEO. “The most competitive talent will have the skills needed to unlock the full potential of AI, and that’s why now is the time to invest in our students. Our latest curriculum enhancements empower students with the skills needed to not only excel in an evolving job market, but also to advance the future of tech through innovation.”
Curriculum Enhancements
The enhancements cover topics such as machine learning, natural language processing, and prompt engineering. Students will learn how to use generative AI as a research tool, effectively communicate with AI chatbots, build AI models, and leverage machine learning for testing.
Curriculum enhancements include:
- Software Engineering. Discover how AI can help with code debugging, enable code completion, and integrate AI features into apps. Students will also learn prompt engineering and how to successfully correspond with chatbots.
- Data Science. Learn the fundamentals of AI theory, including concepts such as data leakage, overfitting, and regularization. Students will also learn scikit-learn (a popular AI library for Python programming language) as well as how to build AI models for text data (also known as natural language processing, or NLP).
- Cybersecurity. Gain experience leveraging AI and machine learning (ML) for threat intelligence feeds, vulnerability and penetration testing, and detecting anomalous and behavioral events. Students will also learn how bad actors could leverage AI to crack encryption.
- UX / UI Product Design. Explore how to co-create with AI for inspiration, as well as how to analyze potential biases in AI-generated design solutions. Students will also learn about the implications of AI on intellectual property, how to develop user journeys with generative AI, and how to use NLP to automate identification of patterns in user data.
Taught by instructors with real-world experience, our courses are offered online or in-person on New York City or Denver campuses. Students can choose full-time or part-time programs, which are paced between 15 and 60 weeks. Upon graduation, we provide up to 180 days of 1-on-1 career coaching.
To learn more about our curriculum enhancements for students, please click here.
Disclaimer: The information in this blog is current as of May 17, 2023. Current policies, offerings, procedures, and programs may differ.
