Packt

Prompt to Agent Engineering: The Next AI Skill

Packt

Prompt to Agent Engineering: The Next AI Skill

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand core concepts of AI and prompt engineering techniques.

  • Explore the theoretical foundations of autonomous AI systems conceptually.

  • Learn principles behind AI ethics and its role in governance models.

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Recently updated!

September 2026

Assessments

7 assignments

Taught in English

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There are 8 modules in this course

This module introduces learners to the foundational concepts of AI interaction and prompt engineering, exploring their evolution and significance in modern AI systems. It outlines key learning objectives and provides an overview of how these skills shape AI design and development. Learners will gain a clear understanding of the theoretical and practical aspects of working with AI systems.

What's included

3 videos

This module explores techniques for creating and optimizing prompts across various AI content generation domains, including text, images, and video. Learners will gain an understanding of theoretical frameworks and practical strategies to improve AI outputs. The focus is on identifying best practices, troubleshooting issues, and refining prompt design for maximum effectiveness.

What's included

6 videos1 assignment

This module provides an in-depth exploration of generative AI fundamentals, focusing on prompt engineering, conceptual frameworks, and evaluation strategies. Learners will gain a clear understanding of how to structure and optimize prompts for effective AI interaction and performance. It also covers theoretical aspects of prompt architecture and context engineering.

What's included

7 videos1 assignment

This module explores the conceptual application of ChatGPT in various business functions such as knowledge management, email automation, crisis communication, and strategic planning. Learners will gain an understanding of how AI tools can enhance productivity and decision-making in real-world scenarios. The focus is on theory and conceptual strategies rather than technical implementation.

What's included

7 videos1 assignment

This module explores key concepts in AI platforms, focusing on how to navigate and personalize AI tools, understand integrations, and utilize AI for team collaboration. Learners will gain a theoretical foundation for using AI in workflows and recognize the differences between AI versions.

What's included

4 videos1 assignment

This module explores the evolution of AI systems from basic prompt engineering to advanced conceptual design. Learners will gain a deep understanding of autonomy, goal-setting, and the distinctions between AI systems and chatbots. The focus is on theoretical frameworks and conceptual workflows for real-world AI applications.

What's included

8 videos1 assignment

This module covers key aspects of AI ethics, including responsible AI use, data privacy, output verification, and regulatory compliance. Learners will gain insights into the theoretical and practical dimensions of creating trustworthy AI systems and how to leverage AI for career growth.

What's included

5 videos1 assignment

This module helps learners reflect on the key concepts covered in the course and develop a practical plan for applying AI techniques in real-world scenarios. It emphasizes the transition from theoretical knowledge to actionable strategies, focusing on building conceptual AI systems.

What's included

2 videos1 assignment

Instructor

Packt - Course Instructors
Packt
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