Artificial Intelligence for Lunar Exploration – Python to AI

Master AI for Lunar Exploration: Python, Machine Learning, Deep Learning, and Image Segmentation

Created by: Spartificial Innovations
AI and Space Science Institute

What Will I Learn?

• Master the installation of essential coding tools such as Python, VS Code, Git, and GitHub.
• Gain a solid foundation in Python, covering basics like data types, control flow, and functions, and learn to upload code to GitHub.
• Develop a deep understanding of Object-Oriented Programming by building a rocket simulation.
• Explore key Python libraries such as NumPy and Matplotlib for data manipulation and visualization.
• Understand the fundamentals of machine learning, including linear regression, and deploy ML models as APIs using FastAPI.
• Dive into deep learning, build neural networks from scratch, and learn about convolutional neural networks (CNNs) for image classification.
• Apply AI techniques to classify celestial objects and perform lunar image segmentation using advanced models like UNET.
• Create a web application using Streamlit to visualize and interact with lunar image segmentation results.

Requirements

• No Programming experience required.

Target audience

• Individuals looking to build a strong foundation in AI and machine learning with a unique focus on lunar exploration.
• Those studying computer science, astrophysics, or related fields who want to apply AI techniques to space exploration.
• Developers with a basic understanding of Python who wish to advance their skills in machine learning, deep learning, and data science.
• Engineers and scientists working in the space industry who want to leverage AI for innovative solutions in lunar exploration.
• Anyone passionate about space and technology, eager to learn how AI can be used to explore and understand the moon.