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Beginnt 7 June 2026 14:14

Endet 7 June 2026

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Agentic prompt engineering

Master agentic prompt engineering to effectively communicate with AI agents and LLMs for automation, decision-making, and intelligent task execution across various professional domains.
UiPath via Coursera

UiPath

2889 Kurse


1 hour 10 minutes

Optionales Upgrade verfügbar

Not Specified

Lernen Sie in Ihrem eigenen Tempo

Free Online Course (Audit)

Optionales Upgrade verfügbar

Übersicht

Introduction to Agentic Automation Offered by UiPath on Coursera Discover how agentic automation is reshaping the future of work. In this course, you'll learn how AI-powered agents—working alongside human expertise—can make decisions, adapt to changing conditions, and drive smarter, more autonomous business processes.

Designed for business professionals, automation leads, and CoE teams, this course covers the fundamentals, real-world applications, and key considerations like data security and fairness. You'll also get hands-on with Autopilot for Everyone, UiPath’s agentic automation experience.

Unlock the potential of intelligent automation—and learn how to implement it responsibly and effectively within your organization.

Lehrplan

  • Agentic prompt engineering v1.0
  • In today’s AI-driven world, the ability to communicate effectively with large language models (LLMs) is becoming a must-have skill, not just for developers, but for writers, analysts, business professionals, and creators alike. Whether you’re crafting prompts for content generation, building chatbots, automating tasks, or developing intelligent AI agents, how you ask determines what you get. And when you're working with AI agents, this skill becomes even more essential. These agents don’t just answer questions, they act, reason, and make decisions based on your prompts. Whether you’re just starting out or looking to take your AI skills to the next level, this course will give you the foundational knowledge to harness the full potential of LLMs and AI agents.

Unterrichtet von

Radhika Adoni


Fachgebiete

Computer Science