- Promoted by: Anonymous
- Platform: Udemy
- Category: IT Certifications
- Language: English
- Instructor: Amara Azam
- Duration:
- Student(s): 1,035
- Rate 1.5 Of 5 From 0 Votes
- Expires on: 2025/12/13
-
Price:
44.990
Prompt Engineering & LLMs: Advanced Techniques for ChatGPT, Claude, and Gemini Mastery
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for the "Master the Art and Science of Prompt Engineering" course by Amara Azam on Udemy.
This course, boasting a 1.5-star rating from 0 reviews
and with 1,035 enrolled students, provides comprehensive training in IT Certifications.
Spanning approximately
, this course is delivered in English
and we updated the information on December 09, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
Master the Art and Science of Prompt Engineering
This comprehensive masterclass is designed to take you from a basic AI user to an elite prompt engineer capable of extracting maximum performance from today's leading Large Language Models (LLMs): **OpenAI's ChatGPT/GPT-4o, Anthropic's Claude, and Google's Gemini.** You know that the quality of your output depends entirely on the quality of your input. This course provides the structural knowledge, tactical frameworks, and hands-on exercises necessary to craft prompts that generate reliable, nuanced, and accurate results every single time, regardless of the platform.
What Makes This Course Unique?
While other courses focus on basic prompting, this Masterclass dives deep into advanced, research-backed techniques like Chain-of-Thought (CoT), Tree-of-Thought (ToT), Retrieval-Augmented Generation (RAG) principles, and sophisticated iterative refinement cycles. We don't just teach you *what* to ask; we teach you *how* to structure the persona, context, task, and format for enterprise-level deployment and complex problem-solving. Furthermore, we provide comparative analysis, showing you how to adapt prompts for the unique strengths and weaknesses of ChatGPT, Claude, and Gemini, ensuring true platform agnosticism in your skills.
Key Modules Include:
The Prompt Engineering Blueprint (P.E.B.): A standardized framework for structuring any prompt.
Advanced Reasoning Tactics: Applying CoT, Self-Correction, and Reflection techniques.
Context Management and Custom Instructions: Maximizing token efficiency and maintaining long-term memory.
Specialized Prompting for Developers: Using LLMs for coding, debugging, and software architecture planning.
Ethical AI and Bias Mitigation: Ensuring your outputs are fair, safe, and responsible. If you are ready to stop guessing and start engineering precise, predictable outcomes from AI, enroll today and unlock the true potential of these transformative technologies.