Description
Advanced Prompt Engineering Techniques is your complete guide to mastering Large Language Model (LLM) prompting with the expert insights of John Berryman and Albert Ziegler. This course gives you the skills to design effective prompts, enhance AI responses, and build intelligent automation solutions that deliver real-world value.
Course Description
In this comprehensive course, you will explore the foundations and advanced concepts of prompt engineering for LLMs. Since LLMs have become essential for modern AI applications, you’ll learn powerful strategies to command models like ChatGPT, Claude, Gemini, and more. Because the course emphasizes hands-on practice, you will quickly gain confidence in creating prompts that boost accuracy, reduce hallucinations, and optimize output quality.
Throughout the training, Berryman and Ziegler share proven frameworks, practical techniques, and industry applications. Moreover, you will understand how to adapt prompts for different use cases such as data analysis, creative writing, automation, coding assistance, business communication, and research workflows. By the end, you will confidently design prompt systems that improve productivity and unlock advanced AI capabilities.
What You’ll Learn
- LLM fundamentals and model behavior patterns
- Prompt design frameworks and best practices
- Zero-shot, one-shot, and few-shot prompting
- Chain-of-thought, self-reflection, and reasoning techniques
- Context building and input structuring
- Creating reusable prompt templates
- Debugging, refining, and optimizing prompts
- Real-world use cases and industry applications
Requirements
- Basic familiarity with AI tools or chat-based models
- General computer literacy
- No programming experience required
About the Publication
John Berryman and Albert Ziegler are recognized leaders in artificial intelligence education. Because they bring years of applied research experience, their teaching blends clarity with practical insight. Their work has guided thousands of learners toward mastery of LLM technologies, and this course reflects their commitment to accessible, high-quality AI training.
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