Home └Complete Prompt Engineering Practical Course CPEPC 2024
Complete Prompt Engineering Practical Course CPEPC 2024

Complete Prompt Engineering Practical Course CPEPC 2024

Udemy - Complete Prompt Engineering Practical Course CPEPC 2024-5

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Responsible Narodom.guy
Last Update 26/08/2024
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Udemy Prompt Engineering
    • Read me.txt
  • 9Lessons ·
    • 1. Motivating Example Create an educational activity plan for school kids using AI.mp4
    • 2. Overview of the Course and how to develop your thinking towards AI and LLMs.mp4
    • 3. What is Persona Pattern and how this is useful in Prompt Engineering.mp4
    • 4. How to create an account in ChatGPT, Google Gemini and Meta AI for free .mp4
    • 4.1 ChatGPT.html
    • 4.2 Google Gemini.html
    • 4.3 Meta AI.html
    • 5. Why does the output contain randomness.mp4
    • 6. Connect with me!.html
  • 45Lessons ·
    • 1. What is Prompt Engineering Definition and Overview.mp4
    • 2. History and Evolution of Prompt Engineering.mp4
    • 2.1 Click here to know more about Eliza.html
    • 3. Key Points to Remember about History and Evolution.html
    • 4. Key Concepts and Terminology in AI, Machine Learning, Neural Networks.mp4
    • 5. 14 AI-related terms with simple examples [Important Notes].html
    • 6. Understanding Artificial Intelligence (AI) A complete Guide for Learners.mp4
    • 7. Simplified breakdown of the key points about Artificial Intelligence (AI).html
    • 8. Discover Machine Learning (ML) A Guide for Learners.mp4
    • 9. Simplified breakdown of the key points about Machine Learning (ML).html
    • 10. Difference between Artificial Intelligence (AI) and Machine Learning (ML).mp4
    • 11. Exploring Neural Networks A Simple and Fun Guide.mp4
    • 12. Simplified breakdown of the key points about Neural Networks.html
    • 13. What is the differences between AI, ML and Neural Networks .mp4
    • 14. Discovering Natural Language Processing (NLP) A Fun and Simple Guide.mp4
    • 15. Simplified breakdown of the key points about Natural Language Processing (NLP).html
    • 16. What is the differences between AI, ML,Neural Networks and NLP.mp4
    • 17. Tokenization A Simple and Exciting Guide.mp4
    • 18. Simplified explanation of Tokenization.html
    • 19. Journey into the World of Sentiment Analysis A Simple Guide for Curious Minds.mp4
    • 20. Simplified breakdown of the key points about Sentiment Analysis.html
    • 21. Differences between Tokenization and Sentiment Analysis through examples.mp4
    • 22. Entering the World of Prompting A Fun Guide for Learners.mp4
    • 23. Simplified explanation of Prompting.html
    • 24. The Adventure of Parsing An Easy-to-Understand Guide.mp4
    • 25. Simplified explanation of Parsing.html
    • 26. Differences between Tokenization, Sentiment Analysis and Parsing through ex!.mp4
    • 27. Exploring the World of Deep Learning A Simple Guide for Explorers.mp4
    • 28. Simplified explanation of Deep Learning.html
    • 29. Learn the Differences between AI, ML, NLP, Neural Networks and Deep Learning.mp4
    • 30. The World of Supervised Learning A Simple and Fun Explanation.mp4
    • 31. Simplified explanation of Supervised Learning.html
    • 32. The Adventure of Unsupervised Learning A Fun and Easy Explanation for Everyone.mp4
    • 33. Simplified explanation of Unsupervised Learning.html
    • 34. Differences between Supervised Learning and Unsupervised Learning with examples!.mp4
    • 35. Exploring Reinforcement Learning A Fun and Simple Journey.mp4
    • 36. Simplified explanation of Reinforcement Learning.html
    • 37. The Fascinating World of Zero-shot Learning Explained Simply.mp4
    • 38. Simplified explanation of Zero-shot Learning.html
    • 39. Understanding Few-shot Learning A Simple and Engaging Explanation.mp4
    • 40. Simplified explanation of Few-shot Learning.html
    • 41. Differences between Reinforcement Learning, Zero-shot and Few-shot Learning!.mp4
    • 42. Comparison Table of Key Concepts.mp4
    • 43. Understanding the Key Concepts with an Example Scenario.mp4
    • 44. Section 1 Quiz Foundations of Prompt Engineering.html
  • 11Lessons ·
    • 1. Section Intro.mp4
    • 2. Understanding AI Language Models An Elaborative Guide.mp4
    • 3. How AI Models Understand and Generate Text .mp4
    • 4. What is Large Language Model .mp4
    • 5. What are the various LLM (AI Models) available for free.mp4
    • 6. Limitations and Capabilities.mp4
    • 7. Crafting Effective Prompts Elements of a Good Prompt.mp4
    • 8. Prompt types for AI language models can generally be categorized as follows.mp4
    • 9. Types of prompts and real world responses!.mp4
    • 10. Common Pitfalls and How to Avoid Them.mp4
    • 11. Basics of Prompt Design Test.html
  • 9Lessons ·
    • 1. Section Intro.mp4
    • 2. Prompt Tuning and Refinement Iterative Testing and Adjustment.mp4
    • 3. Analyzing Model Responses.mp4
    • 4. Contextual and Conditional Prompting Setting Contexts.mp4
    • 5. Conditional Statements and Logic in Prompt Engineering.mp4
    • 6. Creative and Complex Prompting Storytelling, Role-Playing, & Scenario Building.mp4
    • 7. Recap of Section 3 Intermediate Prompt Engineering Techniques [Part-1].mp4
    • 8. Recap of Section 3 Intermediate Prompt Engineering Techniques [Part-2].mp4
    • 9. Section 3 Quiz Intermediate Prompt Engineering Techniques.html
  • 8Lessons ·
    • 1. Section Intro.mp4
    • 2. Advanced Techniques in Prompt Engineering Chain of Thought Prompting.mp4
    • 3. Zero-shot and Few-shot Learning.mp4
    • 4. Ethical Considerations and Best Practices Bias and Fairness.mp4
    • 5. Privacy and Data Security.mp4
    • 6. Troubleshooting and Optimizing Prompts Dealing with Ambiguity and Vagueness.mp4
    • 7. Maximizing Model Performance.mp4
    • 8. Prompt Patterns [Discover Over 10 Patterns with Practical Demonstrations].mp4
  • 2Lessons ·
    • 1. Project Outline AI-Powered Study Buddy.mp4
    • 2. Testing of the Project.mp4
  • 1Lessons ·
    • 1. What's NEXT .html