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Prompt Engineering Roadmap with Generative AI

Track :

Artificial Intelligence

Lessons no : 4

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What will you learn in this course?
  • Master designing effective prompts to optimize generative AI model performance and accuracy in real-world applications
  • Apply advanced prompt engineering techniques to enhance natural language understanding and model responsiveness
  • Evaluate and refine prompts to improve AI language models' contextual comprehension and interactive capabilities
  • Implement strategies for customizing prompts to address diverse industry-specific needs and complex problem-solving

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 4


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4.6
72 Reviews

Ahmad Ali Sadiki

Best of all 2025-10-10

Aatif Rasheed

Great course and lesson 2025-09-29

Tehman King

Thank you mind luster very best for education 2025-09-23

Vikash dhayal

Very good 2025-09-05

Essien, Ezekiel Effiong

Great course and lessons. 2025-08-25

WHITE, OBED FRANCIS

Good course but most of the lessons were repeated 2025-08-21

Rizwan illyasi

very good 2025-08-20

Hezekiah Bassa Samuel

Good material 2025-08-19

Samaila Sukai

Very interesting and impactful 2025-08-19

Daniel Isidore Udoma

It's a good course but repeated lessons can be removed to shorten the lessons. 2025-08-19

Shriraj Patil

Most of taught concepts are again and again repeated in the videos and the lectures are becoming a bit boring and lengthy Otherwise the course was absolutely good 2025-08-15

Mehedi Hasan

It was very helpful and I like it. 2025-08-08

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Prompt Engineering Roadmap course, in this course we will explore the intricacies of Prompt Engineering Roadmap, a structured plan guiding the enhancement and refinement of natural language models like GPT and its derivatives. Learn how to optimize models for performance, accuracy, language understanding, and interactive capabilities. Discover techniques for advancing model capabilities to address diverse applications and fields effectively.