Basic Robotic Behaviors and Odometry

This intensive course on AI Robotics is designed to immerse participants in the cutting-edge field of robotics, blending foundational knowledge with practical, hands-on exercises. Learners will explore the crucial intersection of hardware and software, understanding how AI connects to robotics and the current landscape. Participants will comprehensively understand how robots perceive and interact with their environment. Practical skills are a cornerstone of this learning experience; students will engage in exercises that mimic real-world robotics challenges, gaining hands-on experience integrating AI solutions into robotic hardware. Leveraging the insights from a comprehensive survey of over 350 research papers and current market analysis, including advancements by companies like OpenAI, Amazon, Boston Dynamics, and Tesla, the course is structured to provide both theoretical knowledge and practical applications. The curriculum also includes creating simulations on cloud platforms for accelerated model training, offering an excellent opportunity to engage with the material actively and envision the future trajectory of AI in robotics.

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project. This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner. This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA. Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field. You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry. It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers). Applied Learning Project You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.