Developing AI agents with CrewAI

• Titel: Developing AI agents with CrewAI
• Titelzusatz: a practical guide for developers
• Mitwirkende: Taulli, Tom [MitwirkendeR]
• Institutionen: O'Reilly (Firm), [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Sebastopol, California]
• Verlag: O'Reilly Media, Inc.
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (52 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed November 18, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• K10plus-PPN: 1910495360
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4629540253
• Lokale URL Inst.: Zum Volltext

Abstract

While chatbots like ChatGPT, Claude, and Gemini have shown remarkable potential, the future lies in generative AI agents capable of executing complex tasks for users. These agents can conduct detailed research, automate project management, analyze and synthesize information from vast data sources, and optimize business processes across various domains. This course will guide you through the process of creating powerful AI agents. It begins with an introduction to AI agent fundamentals, covering key components, advantages, disadvantages, different types available, and user experience (UX) considerations. You’ll then explore the CrewAI framework, learning its pros and cons, setup process, main features, alternatives, and selecting an LLM for AI agent creation. Then the course covers the building of AI agents with CrewAI, where you'll learn about its classes, pros and cons, creating research and RAG AI agents, and using observability. By the end of the course, you'll have a solid understanding of AI agent fundamentals and practical skills in AI agent development using CrewAI.