What is an artificial intelligence AIenabled drone and what can it do Are AIenabled drones better than humancontrolled drones This book will answer these questions and more and empower you to develop your own AIenabled drone.Youll progress from a list of specifications and requirements in small and iterative steps which will then lead to the development of Unified Modeling Language UML diagrams based in part to the standards established by for the Robotic Operating System ROS. The ROS architecture has been used to develop landbased drones. This will serve as a reference model for the software architecture of unmanned systems.ampnbspUsing this approach youll be able to develop a fully autonomous drone that incorporates objectoriented design and cognitive deep learning systems that adapts to multiple simulation environments. These multiple simulation environments will also allow you to further build public trust in the safety of artificial intelligence within drones and small UAS. Ultimately youll be able to build a complex system using the standards developed and create other intelligent systems of similar complexity and capability.Intelligent Autonomous Drones with Cognitive Deep Learningampnbspuniquely addresses both deep learning and cognitive deep learning for developing near autonomous drones.What Youll LearnExamine the necessary specifications and requirements for AI enabled drones for nearreal time and near fully autonomous dronesLook at software and hardware requirementsUnderstand unified modeling language UML and realtime UML for designStudy deep learning neural networks for pattern recognitionReview geospatial Information for the development of detailed mission planning within these hostile environmentsWho This Book Is ForPrimarily for engineers computer science graduate students or even a skilled hobbyist. The target readers have the willingness to learn and extend the topic of intelligent autonomous drones. They should have a willingness to explore exciti