With more and more connected devices, Internet of Things is all set to revolutionize how we live today. Smart Homes, Wearables, Connected Cars are only a few examples of IoT devices that are designed to make your life comfortable and safe. According to a Gartner report, connected devices across all technologies will reach 20.6 billion by 2020. If you are looking for an unconventional career in new-age technologies, IoT software development is an ideal start.
In this Foundation Nanodegree Program, you will learn to build IoT software from scratch. Learn python programming, C++ basics, backend database management, data analytics with big data softwares like Hadoop and Mapreduce. Also, get introduced to advanced technologies like sensors and controls, Natural Language Processing, and Voice User Interfaces. Throughout this Nanodegree program, you will get mentorship support, access to project reviewers, and peer learning community to help you learn efficiently. By the end of this Nanodegree program, You will have a diverse portfolio of projects to demonstrate your skills and an understanding of how smart devices are built.
Get started with this Foundation Nanodegree Program to prepare for a career-ready Nanodegree Program
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Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.Explore US Bikeshare Data
Learn how a client communicates with a server, including HTTP's request and response cycle, HTTP/2 and HTTPs
Master SQL databases and build multi-user web applications using the Flask framework, SQLAlchemy, and authentication providers such as Google and Facebook. You will also learn authentication, authorization and Examine API terminology, techniques, and the RESTBuild an Item Catalog
Explore the underpinnings of the net with tools like traceroute, tcpdump, and nc.
Learn build device interfaces for IoT devices
Find out how Natural Language Processing is being used in the industry, why it is challenging, and learn to design an NLP solution using IBM Watson's cloud-based services.Translate Python to C++
Explore how to write good code that runs correctly. We’ll focus primarily on low level features of C++, but we’ll discuss other best practices as well.
Learn the basics of Hadoop, the leading tool for big data processing in the world. Practice MapReduce.
Learn how to use an array of sensor data to perceive the environment and control on its own. You'll evaluate sensor data from camera, radar, lidar, and GPS, and use these in closed-loop controllers.Kidnapped Car
Find out how Natural Language Processing is being used in the industry, why it is challenging, and learn to design an NLP solution using IBM Watson's cloud-based services.
Learn how you can design and deploy your own VUI using Amazon's Alexa Skills Kit.
Scientist, educator, inventor, and entrepreneur, Sebastian led the self driving car project at Google X and founded Udacity, whose mission is to democratize education by providing lifelong, on-demand learning to millions of students around the world.
Prior to joining Udacity, Caroline worked as a software engineer at Quixey, a startup that built a search engine for applications. While graduating from Carnegie Mellon, she provided mentorship for six different courses.
Michael is a self-taught full-stack web developer and open source advocate. Before joining Udacity, he spent over 10 years developing classified applications for some of the most demanding intelligence organizations in the world.
Anthony is a US Army combat veteran with a MS in Computer Engineering from Colorado State University. He is the Product Lead at Udacity for our Robotics and Self-Driving Car programs. He has a love for technology and learning!
Andy is a lover of all things teaching and learning. He has a bachelor's degree in physics from MIT, taught himself to program after college (mostly with Udacity courses), and has been helping Udacity make incredible educational experiences since the early days of the company.
David Silver is Self-Driving Car Nanodegree Lead at Udacity. A Carnegie Mellon Graduate, David has been working in this industry since the past 12 years. Prior to Udacity, David was Technical Lead - Self-Driving Cars at Google and was also a part of Special Research Faculty (Robotics) at National Robotics Engineering Center.
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Time to Complete: 4 months
Admissions Closes: 24 February, 2019
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Project Reviews: The Project reviews provide deep analysis of a student's code and project. Reviewers are trained professionals that provide feedback on coding styles, industry guidelines, optimization of the code and reference links for improving the project.
Mentorship: Mentors are appointed to students that have one on one chats with them. They keep track of the progress in the course, Help them in time management and keep them motivated throughout the course.