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.


Massachusetts Institute of Technology

Cambridge, MA

Bootcamp is POSTPONED.

Bootcamp Dates


What You'll Learn


- 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


- 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 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.

Read more about our Admissions Process.



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.

Refund Policy and Terms and Conditions.

Past Bootcampers have come from a range of backgrounds

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.

MIT Bootcamps



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.

Sanjay Sarma

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.

Brian Subirana

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.

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Getting Ready


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

If you require a visa to travel to the United States please apply as soon as possible. Confirm with your local U.S. embassy or consulate for specific visa requirements. You may use your offer of admissions letter to the Bootcamp as a supporting document if required.