Ines Schweigert

Dr. Ines Dedovic earned her doctorate at the Institute for Imaging and Computer Vision in the Department of Electrical Engineering at RWTH Aachen University, Germany. She has worked as a researcher at the Research Center Jülich and is currently employed as a software developer for camera systems at an automation company, Jonas & Redmann. For over 10 years, Ines has also worked as a 3D animator, comic artist, and illustrator for textbooks. In this book, she uses her art and technical skills to create intuitive visuals of technical concepts.

books by Ines Schweigert

Generative AI Made Easy
  • MEAP began April 2025
  • Publication in Fall 2025 (estimated)
  • ISBN 9781633435872
  • 275 pages (estimated)
Included with a Manning Online subscription
  • printed in black & white

Generative AI Made Easy is written for everyone. Following engaging illustrations and step-by-step guidance, you'll start creating AI applications from the very first chapters. Use prompt engineering to create a healthy recipe generator, use RAG to build automated customer support chatbots, craft marketing assistants that know brand guidelines, and even design a web-enabled financial researcher—all using free low-code tools like Langflow and KNIME.

Algorithms and Data Structures for Massive Datasets
  • May 2022
  • ISBN 9781617298035
  • 304 pages
Included with a Manning Online subscription
  • printed in black & white
  • Available translations: Japanese, Korean, Simplified Chinese

Algorithms and Data Structures for Massive Datasets introduces processing and analytics techniques for large distributed data. Packed with industry stories and entertaining illustrations, this friendly guide makes even complex concepts easy to understand. You’ll explore real-world examples as you learn to map powerful algorithms like Bloom filters, Count-min sketch, HyperLogLog, and LSM-trees to your own use cases.