With the right skills, you can change your future. We set you up to succeed long-term with a project-based curriculum, personal mentorship and career coaching.
Careers in tech come with exciting challenges and growth opportunities - and you have plenty of options in L.A. Ample entertainment, healthy living, diverse cultures, and beautiful beaches make Silicon Beach a no brainer for upcoming tech companies.
In our project-based courses, you’ll build the portfolio that gets you into top companies like Tinder, Google, Hulu, and other tech giants that just happen to be in your own backyard.
Software Engineer salary
UX Designer salary
Data Scientist salary
Average Los Angeles salary figures according to Glassdoor.com
You’ll benefit from the convenience of a bootcamp, combined with networking opportunities and engaged instructors. Our online communities of tech professionals and students keep you connected while you learn, and even after you graduate.
Unlike other coding bootcamps, you’ll have all the support you need to master the material and get hired. As a Thinkful student, you’ll have a personal mentor at your side every step of the way to help you process the course material and figure out the real-life applications.
“The Slack technical help is almost always available in minutes and extremely knowledgeable. My mentor is very helpful and very encouraging. My program manager keeps me on task and connected with the community.” - Data Science Student
“Anna came to LAZ with all the tools needed for data driven projects. She learned other skills quickly, adding value to our team.” - Manager at LAZ Parking, after hiring a Data Analytics graduate
“I was very impressed by the attention to detail that Andrew displayed. He gives very valuable feedback and perspective to the problems that we are trying to solve." - Manager at Lynx Wallet, after hiring an Engineering graduate
We're here to launch your career. If you're not hired within six months of graduating, you get your money back.
Are you an employer? Partner with us.
Learn the fundamentals, then take a deep dive into machine learning in either a highly intensive or open study schedule.