Understanding Prompt Engineering

Towards Excellence
3.68 (17 reviews)
Udemy
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English
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Personal Transformation
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Understanding Prompt Engineering
1 481
students
43 mins
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Mar 2024
last update
$29.99
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Why take this course?

🚀 Course Title: Understanding Prompt Engineering with Dr. Dheeraj Mehrotra

🎓 Course Headline: Towards Excellence in AI and Machine Learning through Prompt Engineering!


🌍 Course Description: Dive into the intricacies of prompt engineering, a pivotal skill set that influences how AI models interpret and respond to human language. "Understanding Prompt Engineering" is meticulously crafted to provide you with a deep understanding of the principles, strategies, and best practices involved in this critical aspect of natural language processing (NLP) and machine learning (ML). This course will transform your ability to generate and utilize prompts effectively, enhancing the performance of AI models. Whether you're an ML enthusiast or a seasoned professional, this comprehensive course will equip you with the knowledge to master prompt engineering.


🔑 Module 1: Introduction to Prompt Engineering Begin your journey by understanding the core concepts of prompt engineering and its transformative role in NLP and ML. We'll explore the historical context and the evolution of prompt-based approaches, setting a solid foundation for your learning experience.

  • Lesson 1: Foundations of Prompt Engineering
    • Overview of prompt engineering and its significance in NLP and ML.
    • Historical context and the evolution of prompt-based approaches.

🎯 Module 2: Types of Prompts and Their Applications Explore the different types of prompts and their practical applications across various AI systems. Understand how to craft prompts that elicit specific answers or creative content, and learn about the role they play in shaping model outputs.

  • Lesson 2: Closed-Ended Prompts

    • Understanding how to create prompts for obtaining definitive answers.
    • Applications in question-answering systems.
  • Lesson 3: Open-Ended Prompts

    • Mastering the art of designing prompts that encourage creative and varied responses.
    • Examination of their use in language generation models.

🧭 Module 3: Strategies for Effective Prompting Develop advanced strategies to enhance the effectiveness of your prompts, ensuring they probe deeper into model capabilities and ethical considerations.

  • Lesson 4: Probing Prompts

    • Learn how to design prompts that reveal biases within AI models.
    • Engage with the ethical implications of probing prompts.
  • Lesson 5: Adversarial Prompts

    • Understand the creation of adversarial prompts for testing model robustness.
    • Explore methods to enhance model performance through adversarial prompting.

🔄 Module 4: Fine-Tuning and Optimizing with Prompts Discover techniques for fine-tuning models using prompts, achieving the perfect balance between influence and generalization. Learn how to optimize your prompt selection for specific tasks and adapt prompts based on model behavior.

  • Lesson 6: Fine-Tuning Models with Prompts

    • Techniques for incorporating prompts into model training.
    • Strategies to balance the influence of prompts without compromising generalization.
  • Lesson 7: Optimizing Prompt Selection

    • Methods for choosing the most effective prompts for a given task.
    • Customization of prompts based on observed model behavior.

📈 Module 5: Evaluation and Bias Mitigation Evaluate the performance of prompts, understanding the metrics and methodologies that define model effectiveness. Learn how to mitigate biases introduced by prompts and ensure fairness and inclusivity in your AI systems.

  • Lesson 8: Evaluating Prompt Performance

    • Explore various metrics and methodologies for assessing model performance with prompts.
    • Gain insights into how to interpret and analyze the results.
  • Lesson 9: Bias Mitigation in Prompt Engineering

    • Strategies to identify and address biases that can arise from prompts.
    • Ensuring that models are fair and inclusive across diverse datasets.

🌐 Module 6: Real-World Applications and Case Studies Put theory into practice with real-world case studies and insights from industry experts. Learn how prompt engineering has been successfully implemented, as well as the challenges faced in various applications.

  • Lesson 10: Case Studies in Prompt Engineering
    • Examine a range of case studies demonstrating the impact of prompt engineering.
    • Engage with guest speakers and thought leaders for their expert insights and experiences.

Join us on this enlightening journey into the world of prompt engineering, and elevate your understanding of AI and machine learning to new heights! 🚀✨

Course Gallery

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5865906
udemy ID
11/03/2024
course created date
16/03/2024
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