Have you ever wondered how Siri works? Or how facial recognition works? What about self-driving cars or automated resume screeners? In this 10-week, skills-based summer course, you’ll work with industry-relevant tools to analyze real-world data sets, identifying patterns and relationships as you create robust data science projects. Once you master the data science basics, you’ll move on to using several common machine learning tools to approach real-world business problems, build your own ML models, train, and implement these in the most effective way.
During this part of the program (June-August 2021), you can expect to spend about 15 hours per week on asynchronous, online classes and about 3 hours per week on synchronous lab sessions with other students each Monday afternoon/evening.
What you’ll do:
- Understand and practice the foundations of data science with industry-relevant tools
- Analyze and visualize data to perform basic statistical analysis on data sets and visualize data using common Python packages
- Import, clean, filter, and analyze data sets to prepare for machine learning
- Learn how to use industry-relevant machine learning tools
- Define and compare machine learning models in order to make decisions on how to approach a machine learning problem
- Improve the accuracy of machine learning models using advanced evaluation
- Define and compare supervised and unsupervised machine learning methods
- Investigate how deep learning and neural networks can be used in machine learning
After you complete the foundational coursework, you’ll be invited to join Cornell Tech’s flagship AI Studio, which gives you the opportunity to apply what you’ve learned and gain practical experience. You might think of it like an AI and machine learning club. During this part of the program, you’ll work with a small team of other students, guided by industry and academic mentors, to develop AI solutions for real-world challenges.
All of your projects and data will be supplied by our industry partners, a mix of leading companies and organizations working in different industries at the forefront of AI. Based on your unique skills and interests, we’ll match you with a relevant project and you’ll get the chance to present your solutions back to people actually working in the field. All projects will result in technical artifacts that can populate your portfolio — such as software, data products, and visualizations.
During this part of the program (August 2021-April 2022), you can expect to spend about 5 hours per week developing your project with your team. The majority of the work can be completed online, with the exception of Maker Days, which occur in person on the Cornell Tech campus.
- Bridge to AI Studio: August 23, 2021 – September 13, 2021
- Real-world projects: September 13, 2021 – December 10, 2021
- Maker Day #1: Saturday or Sunday, October 16-17, 10am – 3pm at Cornell Tech
- Maker Day #2: Saturday or Sunday, November 6-7, 10am – 3pm at Cornell Tech
- Spring Kaggle competition: February 7, 2022 – April 1, 2022
What you’ll do:
- Practice the skills you learned in your summer courses
- Identify and dissect real-world business problems with real-world data and evaluate the ways that they can be addressed using AI and ML
- Collaborate in small teams to develop, test, and iterate on solutions to business problems using AI and ML
- Synthesize and convincingly present your solutions to industry experts
- Add artifacts to your portfolio demonstrating your capabilities and experience
Getting your first job in AI and machine learning takes more than raw technical capability. So in partnership with SureStart, we’ll match you with a mentor who will be by your side as you revise your resume, prepare your portfolio, apply for internships and practice your interviews.
Mentorship is a consistent and critical part of this program. You will have access to a mentor and SureStart’s career readiness services for 16 months. You should expect to spend 3-6 hours per month in professional development activities, including mentor meetings, attending seminars and preparing for internship/job applications.
Together SureStart and your mentor will help you:
- Learn about technical roles within AI/ML domains and the requirements
- Create and revise your resume
- Understand and respond to feedback on your portfolio
- Prepare and practice for behavioral and technical interviews
- Identify, evaluate, and apply for summer internships
- Grow your professional network within the AI/ML field
- Prepare to get the most out of your internship experience
- Practice and and develop job search methodologies, interview and negotiate offers