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Unclaimed Profile"Prompt Engineering PRO: Patterns & Prompt Architecture," created by Vladimir Mikriukov, is designed for professionals and developers who want to move beyond basic, conversational interactions with AI and master the art of structured prompt design. In this intermediate-level course, students delve deep into the mechanics of Large Language Models (LLMs) to understand how they generate responses and why outputs vary. Rather than relying on trial-and-error, learners discover how to construct robust, multi-step prompt systems using proven design patterns. Vladimir covers essential industry-standard patterns such as the Persona pattern, Question Refinement, and Fact Check Lists, which drastically improve response quality. Additionally, the course provides practical guidance on combining Zero-shot, Few-shot, Chain-of-Thought, and ReAct techniques to solve complex logical problems. By emphasizing systematic validation strategies, the curriculum helps users mitigate hallucinations and establish highly reliable, reusable prompt architectures. It is the perfect training program for software engineers, product managers, and data professionals looking to integrate scalable AI workflows into their daily operations and enterprise solutions.
About the creator
Vladimir Mikriukov
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Vladimir Mikriukov is an experienced AI practitioner and technical educator dedicated to demystifying the world of Large Language Models (LLMs) and advanced prompt engineering. With a strong focus on practical application, Vladimir bridges the gap between theoretical AI concepts and real-world system architecture. His course, "Prompt Engineering PRO: Patterns & Prompt Architecture," is designed to help professionals transition from basic trial-and-error prompting to systemic, reproducible prompt design patterns. Vladimir's teaching philosophy centers on systematic learning, encouraging students to view LLMs not just as conversational partners, but as complex engines that can be programmed with precision. By breaking down structured output…Show more
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Program Overview
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Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Understand how Large Language Models (LLMs) generate responses and why outputs vary
- Design structured, multi-step prompts instead of one-off requests
- Apply professional prompt patterns (Persona, Question Refinement, Fact Check List, etc.)
- Combine Zero-shot, Few-shot, Chain-of-Thought, and ReAct techniques for complex tasks
- Reduce hallucinations and improve output accuracy using validation strategies
- Build reusable, scalable prompt systems for professional workflows
Best For
- Software developers looking to integrate LLMs into production applications
- Product managers building AI-powered features or internal workflows
- Data analysts and professionals who need consistent, high-quality AI outputs
- Power users aiming to transition from casual prompting to systematic architecture
Not For
- Absolute beginners who have never interacted with a chatbot interface
- Those looking for no-code tools or drag-and-drop AI automation platforms
- Users seeking creative writing tips rather than technical, structured workflows
- Individuals who expect the course to cover basic prompt syntax like 'please' or 'thanks'
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