Artificial Intelligence and Machine Learning in Space

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Alessandro Migliaccio

1:00:56

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1. Introduction

1.1 Introduction.pdf

1. Introduction.mp4

22:59

2. How much do you know about AI.html

2. Machine Learning

1.1 Extract of Systems Engineering Neural Networks.pdf

1.2 Module 2.pdf

1. Neural Networks.mp4

17:10

2. Key points to remember.html

3. Systems Engineering

1.1 Module 3.pdf

1. Systems Engineering approach.mp4

10:00

2. Key points to remember.html

4. Examples

1.1 A Comprehensive Guide to Convolutional Neural Networks.html

1.2 Hu 2021 J. Phys. Conf. Ser. 1948 012038.pdf

1.3 Module 4.pdf

1. Lunar landing and Mars rover.mp4

10:47

2. Key points to remember.html

3. Additional resources.html

Description

Ready to blast off into the world of Artificial Intelligence?

What You'll Learn?

Learn the basics of machine learning
Learn the basics of the "system" approach
Undertand how AI is used for space applications
See practical examples of application of Ai in space

Who is this for?

Students

Engineers

Scientist

Company employees in tech sector

Space Enthusiasts

What You Need to Know?

Technical mindset

Basics of algebra

Awareness of space missions

More details

Description
Take your skills and knowledge to the next level with our AI in Space Course. Our awareness course is designed to teach you the fundamentals of A.I., develop an understanding of its capabilities, and empower you to apply them to real-world scenarios. Join us and find out why A.I. is revolutionizing the aerospace industry!
With our AI in Space course, you'll get the latest training on how A.I. is being used in space exploration, and dive into the world of state-of-the-art A.I. systems and methodologies. Our comprehensive curriculum covers everything from basics of A.I.-for space applicatrions to understanding system engineering approach and more, giving you the skills you need to be a successful A.I. engineer in space!
The course is comprised of lectures, readings and tests. Each lecture will cover a topic of key engineering principles that are essential in designing artificial intelligence. For example, the course will cover such topics as optimization and search methods to understand how algorithms work. You'll also learn about machine learning, computer vision, and deep learning to give you an understanding of the fundamentals behind those important A.I.-related technologies.

Please send us your feedback to improve the course.
Who this course is for:
Students
Engineers
Scientist
Company employees in tech sector
Space Enthusiasts

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ALESSANDRO MIGLIACCIO, CEng, ASEP: graduated in Space Systems Engineering at Delft University of Technology, currently working as a Systems Engineering Development Leader at Airbus. Expert in mixed reality technology and aspiring futurist, with more than ten years of work experience in aeronautical companies in several countries, he has led data analytics projects aimed at the optimization and tailoring of maintenance programs of airplanes. A Chartered Engineer from the Royal Aeronautical Society and certified systems engineering practitioner, he is passionate about refining his skills by finding new ways to improve team work with new paradigms based on professional fulfilment, nurturing of talents and democratization of niche technologies. To this aim he founded AIShed as an association of voluntary talents dedicated to outreach and research. LEGO builder and drone pilot, he enjoys volunteering work as STEM ambassador and practicing mindfulness.

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