MIT BOOTCAMP PROGRAM
Deep Technologies address real and significant opportunities by combining technical affordances that were impossible yesterday, difficult to implement today, and that have the potential to become so pervasive tomorrow that it’s hard to imagine life without. Example technologies, like Artificial Intelligence, the Internet of Things, Automated Vehicles, and Blockchain are rapidly changing the future of work, the economy, and how we interact with devices and services. Learning the skills necessary to manage these capabilities will be crucial for thriving within a rapidly-changing world.
At the MIT Deep Technology Bootcamp, you will be immersed in survey coverage of these technologies and gain hands-on experience building devices that can sense, connect, infer and act through a series of lab exercises. You will learn MIT’s framework for frontier technology innovation, and learn directly from experts in these fields about new trends and how to generate new innovations.
True to MIT’s motto “mens et manus”, the DeepTech program combines mind and hand elements in the context of an entrepreneurially - focused team project.
Students will identify opportunities, participate in innovation and business modeling exercises, research primary markets, and conduct customer interviews.
Prototype and test their solutions using a diverse toolkit of provided hardware and software including Arduino, Raspberry Pi, and related sensors, actuators, algorithms, and (robotics) platforms.
At the end of the program, pitch to a team of seasoned judges who are currently leading the way in various fields of deep technology.
Think “Shark Tank” meets the “Mythbusters” laboratory, where you’ll play the role of both inventor and businessperson – all with the oversight of MIT faculty.
Understand about key trends in AI like adversarial networks and DeepFakes before implementing your own Deep Neural Network on a self-driving vehicle.
Gain exposure to machine learning innovations, and explore various applications across industries.
INTERNET OF THINGS
Learn MIT’s approach to IoT and get hands-on experience with the four key elements of sensing, connectivity, inference, and action.
Gain exposure to cutting-edge advances in self-driving systems, with coverage ranging from hardware to software to human factors and a hands-on exercise with ROS and the TurtleBot Burger platform.
Massachusetts Institute of Technology
May 1, 2020*
*Submit Round 1 by May 1st, 2020 at midnight EST
August 8-14, 2020
What You'll Learn
BUILD IOT DEVICES THAT CAN SENSE, CONNECT, INFER, ACT
- Choose appropriate sensors based on data source and application type
- Use microcontrollers and microcomputers to transfer data from sensors to the Internet
- Apply web tools to remotely analyze the data
- Send processed information back to a device
- Control electronic systems and actuators remotely over the Internet
UNDERSTAND TRENDS IN AI, DEEP LEARNING, IOT,
PERVASIVE SENSING AND BLOCKCHAIN SOLUTIONS
- When, where, and how to apply AI, Blockchain, and other elements of
“Digital Transformation” to solve real problems
- See what new AI, IoT, Sensing, and Blockchain technologies MIT is developing
- Anticipate emerging trends in deep technology and related industries
- Explore emerging low-power, wide-area networks (LPWAN) and
learn the true state of DSRC and 5G
- Discover blockchain implementations and applications
- Understand how to operationalize and benefit from these technologies
LEARN THE LATEST INNOVATIONS IN AUTOMATED VEHICLES
- Learn the vocabulary describing key AI and automation technologies
- Explore AI and deep learning in the context of self driving vehicle sensing systems
- Use the Robotic Operating System to engage with a prototypical robotic platform
The most successful Bootcampers display and articulate the following qualities during their admissions process: the capacity for calculated risk, open and critical thinking, focus on community and initiative with follow-through. Be prepared to talk about your experience in these four areas when you apply.
Admissions to the Bootcamp is highly selective. MIT Bootcamps admissions are conducted on a rolling basis. The sooner you apply, the sooner you will receive a decision at each round. Don’t wait. Show your commitment by applying early.
The tuition includes all program costs and meals for the duration of the Bootcamp. Please note you will still be responsible for costs of travel and accommodation. Tuition is in USD.
Past Bootcampers have come from a range of backgrounds
- Data scientists
- Corporate professionals
- Innovation managers
-Graduate students, Post-docs
-Professors and educators
- Innovation researchers
- Service based professionals
- Small business owners
- Designers and creatives
- Business management
- Individuals in career transition
- Interest in entering technology sector
calling all nerds!
No matter who you are or where you come from, we’re looking for scrappy individuals looking to roll up their sleeves to build real deep technology applications. We value authenticity, grit, and a collaborative mindset. If you’re someone motivated by tackling the tough problems, and willing to break rules or hack your way there – then this Bootcamp is for you.
WHAT TO EXPECT AT THE BOOTCAMP
Josh Siegel, MIT PhD '16
Entrepreneur, Academic, and Hacker
Josh Siegel is an Assistant Professor in Computer Science and Engineering at Michigan State University (MSU) and the lead instructor for MIT’s Internet of Things Bootcamp. He received Ph.D., S.M. and S.B. degrees in Mechanical Engineering from MIT. Josh and his automotive companies have been recognized with accolades including the Lemelson-MIT Student Prize and the MassIT Government Innovation Prize. He has multiple issued patents, published in top scholarly venues, and been featured in popular media. Dr. Siegel’s ongoing research develops architectures for secure and efficient connectivity, applications for pervasive sensing to vehicle diagnostics, and new approaches to autonomous driving.
Fred Fort Flowers (1941) and Daniel Fort Flowers (1941) Professor of Mechanical Engineering, MIT
Sanjay Sarma is the Fred Fort Flowers (1941) and Daniel Fort Flowers (1941) Professor of Mechanical Engineering and the Vice President for Open Learning at MIT. He co-founded the Auto-ID Center at MIT and developed many of the key technologies behind the EPC suite of RFID standards now used worldwide. He was also the the founder and CTO of OATSystems, which was acquired by Checkpoint Systems (NYSE: CKP) in 2008. He serves on the boards of GS1US and Hochschild Mining and several startup companies including Top Flight Technologies. Dr. Sarma received his Bachelors from the Indian Institute of Technology, his Masters from Carnegie Mellon University and his PhD from the University of California at Berkeley. Sarma also worked at Schlumberger Oilfield Services in Aberdeen, UK, and at the Lawrence Berkeley Laboratories in Berkeley, California. He has authored over 100 academic papers in computational geometry, sensing, RFID, automation and CAD, and is the recipient of numerous awards for teaching and research including the MacVicar Fellowship, the Business Week eBiz Award and Informationweek’s Innovators and Influencers Award. He advises several national governments and global companies.
Acting Director, MIT Auto-ID Lab
Brian Subirana is Acting Director of the MIT Auto-ID lab and Research Scientist at MIT. He has been affiliated with MIT for over 20 years in various capacities including Visiting Professor at the MIT Sloan School of Management. He has also taught at programs from various Business Schools (MIT Sloan, Harvard, Stanford, IESE, INSEAD). Before becoming an academic, he worked at The Boston Consulting Group. He obtained his PhD in Computer Science at the MIT Artificial Intelligence Laboratory (now CSAIL), his MBA from MIT Sloan, founded three start-ups and has over 200 publications (including three books). He currently researches applications of disruptive IoT/AI technologies focusing in four industries: digital learning (he spent the academic year 2015/2016 researching digital learning strategies as Visiting Scientist with the MIT Office of Digital Learning), electric vehicles, supply chain, and cryptocurrencies/blockchain. He is particularly interested in inventing business strategies that optimize value from IoT technologies.
MIT Bootcamps Alumni
learn more about past bootcamps
what past bootcampers have said about their experience
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Familiarity with programming concepts (variables, functions, logical comparisons, and loops) and basic electronics (circuits, switches, and Ohm’s Law). No deep experience necessary. Labs will be programmed in Arduino and Python.
Those new to programming may wish to enroll in the following free MITx course:
Visa and travel