₹6,999 / 20 Sessions
Say hello to autonomous driven vehicles | Ages 14 & above
Virtual driverless car can be used to train self-driving cars using reinforcement learning. Driverless cars are boon to science and technology which integrates AI, Robotics and engineering. Develop and learn the methodology to become a Virtual driverless car expert.
| Themes and Modules | Learning Outcomes |
| What is AI? | This experiential course provides students with an overview and concepts of Artificial Intelligence |
| Do we need self-driving cars? | Describes a self -driving car and its applications. |
| Are there different levels of self driving? | Explains about the US National Highway Traffic Safety Administration |
| Are Sensors available in self-driving cars? | Discover various sensors in Autonomous Vehicle |
| Does computer vision have? | Analyse an computer vision tools to detect the lane lines on roads |
| What is Machine Learning? | Model and nurture creativity and creative expression by understanding Machine Learning |
| Is Advance Lane Tracking in video? | Identifies the pipeline and track the position of lane lines in video stream using detection techniques |
| What is Neural Networks? | Learn about more input, output and hidden layers |
| What is the MNIST Dataset? | Explore more about the handwritten digit classification |
| Do we need a traffic-sign recognizer? | Build and experience the summarization, distribution and validating the dataset |
Build an impressive AI knowledge portfolio | Ages 14 & above
