Simulations/Visual Observer - 300 req. hrs
Apprentices will gain initial flight experience by utilizing ultra-realistic 3D technology to control unmanned vehicles in simulators using Unity, Unreal Engine, and, hardware-in-the loop systems to accurately emulate realistic flying conditions. The student will spend 4 weeks initially as a visual observer upon initial intake into the program. These students will learn how to properly scan and secure flight paths, organizational workflow, parts and accessories, while studying for the FAA Knowledge-exam. Upon a favorable recommendation form the instructor, the VO shall continue training as a person manipulating the controls.
Person Manipulating the Controls - 480 req. hrs
Person-Manipulating-the-Controls (PMC) of Multirotor/Fixed-winged Aircraft. The PMC will be assigned to a Remote Pilot in Command (PIC) of a multirotor/fixed-winged aircraft until meeting the requirements of 14 CFR Part 107, which require a pilot to hold the following: Certificates: Remote Pilot in Command with a Small UAS Rating and Flight Times: 700 hours total flight time as a PMC
Remote Pilot in Command - 480 req. hrs
PIC of a Multirotor/Fixed-winged/Land-based/Underwater Vehicles
Piloting unmanned multirotor/fixed-winged systems
Pre and post flight checks, checking weather forecasts, filling flight plans, and completing associated mission paperwork
Aerial Mapping/Point Cloud - 480 req. hrs
Apprentices will utilize powerful 3D imaging technology, such as the ZED Camera, to allow machines to not only actively map their spaces and surroundings, but also to learn how to adapt and purposefully navigate complex environments, whether self-driving cars, delivery drones, or package delivery rovers. Students will also utilize the technology for other uses, such as preservation, archeology, land-surveying, agriculture, arborists, and commercial/residential developers, by gaining experiential training in these areas, in accordance with student skill, focus, and professional background. Students also will work with point cloud technology, learning how to manage data acquisitions and analysis, while learning how to commercially apply such technology.
Energy and Propulsion Systems - 480 req. hrs
Students will work on creating practical augmented reality applications for industrial and commercial use cases for heightened efficiencies and worker productivity within the organizations business model structure and future growth plans.
Renewable Energy Propulsion Technology/Underwater-Land-based Autonomous Systems/Capstone Project - 480 req. hrs
Students will hands-on and practical experience utilizing either underwater or land-based autonomous systems, which are capable of navigating obstacles, delivering parcels, or performing any series of tasks designed to empower organizations to solve unique business and consumer problems through creative and innovative application of autonomous systems. Students will also present a Capstone Project of their choosing, due at the end of the 6th Quarter. Students, however, will initially learn of, and have time to develop a Capstone Project over the course of the initial six quarters.
Obstacle Avoidance Technology - 480 req. hrs
Students will work closely with various automated aerial, ground-based, and/or aquatic systems, implementing localization algorithms, utilizing Lidar Technology, Laser scanning technology, stereo imaging, and Global positioning systems to navigate through rural, urban, and exotic settings.
Thermal Imaging Technology - 480 req. hrs
This hands-on course will take students on real-world jobs, whether roofing, preservation, insurance claims, or energy efficiency, to build their professional portfolio and scope of work. Further, students will learn about low-light imaging, infra-red technology, temperature detection, and heat sourcing. Additionally, students will learn how to provide quotes and write detailed thermal imaging reports for thermal imaging commercial applications.
Artificial Intelligence - 480 req. hrs
Students will learn what artificial intelligence is, how it is disrupting industries across disciplines, how it can and is being integrated into autonomous systems, as well as it’s short-comings and gaps in technological capability. Also, students will learn how computer vision works by creating their own data sets, and artificial intelligence models, utilizing IBM’s Watson and Nvidia’s DIGITS for data processing and model creation. Students will also learn about machine learning, and how to advance the accuracy and robustness of A.I. models. Students will finally test and execute their final models in simulations, such as Gazeebo and Microsoft’s AirSim.
Accelerated Computing - 480 req. hrs
Students will learn about the differences and varieties of Graphical Processing Units versus Central Processing Units. Students will learn how to work with embedded supercomputers, such as the Nvidia Jetson TX2, in order to enhance the capabilities of autonomous systems (i.e., such as Commercial Drones, Rovers, and Submersibles), in areas related to or similarly relevant to the following: Computer Vision, Localization, Active 3D Mapping, Edge Detection, and Point Cloud-
Internet-of-Things - 480 req. hrs
Students will learn how to utilize the Linux software development language. Additionally, students will learn about the Ubuntu operating system, which is a platform for many software and hardware companies in robotics and accelerated computing, and which also is a dominant player in the IoT space. Furthermore, students will learn how to utilize the Raspberry Pi, as well as various sensors, actuators, and shields for the chipset.