PickAClass · AI Applications (Interdisciplinary) · AI for Robotics & Autonomous Systems

AI for Autonomous Vehicles

Focus on the complete software stack for self-driving cars, including sensor fusion, perception, prediction, planning, and control systems. Understand the unique challenges of autonomous driving.

AI for Autonomous Vehicles

Machine Learning for Self-Driving Cars: A Python Guide

Build a Self-Driving Car with Python and Deep Learning

Intelligent Information Systems: Principles and Design

Foundations of Self-Driving Car Engineering

Foundations of Self-Driving Car Engineering

Foundations of Self-Driving Car Software

AUTOSAR Fundamentals for Automotive Software Development

Software Defined Vehicle (SDV) Architecture and Fundamentals

Foundations of Autonomous Vehicle Engineering

AI Foundations for Autonomous Vehicles and Robotics

Foundations of Self-Driving Car Engineering

Foundations of Autonomous Systems: Modeling and Safety Verification

Fundamentals of Software Defined Vehicle Architecture

Build Autonomous AI Agents with Gemini and Docker

Automated and Connected Driving: Core Challenges and Functions

Introduction to Autonomous Mobile Robots: Navigation and Control

AI Applications in Electric Vehicles

Introduction to Model-Based Automotive Systems Engineering

Introduction to Autonomous Driving Algorithms with Python

Foundations of Automotive Cybersecurity for MCU Developers