Introduction to Generative AI with Julia and Python: From Theory to Practice

Elevate your coding capabilities and gain the skills necessary for maximized performance and career opportunities in the field of Artificial Intelligence. This book is a step-by-step guide designed to equip software engineers with solid foundation of Generative AI basics.

The book begins by introducing Generative AI using Google Colab to establish a solid foundation, before demonstrating how to leverage Python and Julia’s AI capabilities to construct Artificial Neural Networks. You’ll then explore advanced AI models, such as variational autoencoders, in order to generative images and text.

Author Pierluigi Riti not only navigates the complexities of this emerging topic but fills a crucial gap by guiding software engineers through theory before leading them to produce different types of models using only free resources.

You will:

• Acquire a solid foundation of Generative AI basics.
• Utilize the capabilities of Python and Julia to constructure Artificial Neural Networks
• Explore advanced AI models including variational autoencoders, to generate images
• Survey different architectures for AI and utilize free resources to produce different AI

Pierluigi Ritiis currently a technical leader with Mastercard. Prior to that, he was a senior software engineer at Coupa, Synchronos, Ericsson, and Tata. His experience includes implementing and designing complex software architecture. Also, he has over 20 in more general design and development of different scale applications, particularly in the telco and financial industries. Pierluigi holds a Master’s degree in Science of Artificial Intelligence from the University of Limerick and is a researcher with South-East Technological University, in Ireland, focusing on high-tech startups in the field of AI.