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Learn to build an AI racer game as a weekend side project to enhance your cybersecurity resume and discover how AI agents are constructed and trained. Follow along as the instructor walks through the complete development process, from initial project planning and code review to implementing AI agent algorithms. Explore the practical aspects of AI development by examining real code examples and understanding how machine learning models can be applied to gaming scenarios. Watch the AI agent's progression over 24 hours of training, observing its learning patterns and performance improvements at different stages including 5-hour, multi-hour, and full day training cycles. Gain insights into setup procedures, human baseline performance comparison, and optimization techniques for improving AI agent behavior. Use this hands-on demonstration as inspiration for creating your own AI projects that can strengthen your technical portfolio and deepen your understanding of artificial intelligence applications in cybersecurity and beyond.
