Complete Prompt Engineering Practical Course C|PEPC
- Description
- Curriculum
- FAQ
- Reviews
Unlock the Power of AI: The Complete Prompt Engineering Practical Course C|PEP
Are you ready to dive into the fascinating world of Prompt Engineering and Generative AI? Welcome to the Complete Prompt Engineering Practical Course C|PEP, where you’ll master the art of creating effective prompts and harnessing the power of AI to enhance creativity and productivity.
Why Prompt Engineering, and Why Now?
Prompt Engineering is revolutionizing the way we interact with AI, transforming industries and unlocking unprecedented potential. With AI becoming an integral part of our daily lives and work, there’s no better time to equip yourself with the skills to craft precise and powerful prompts. Whether you’re a creative professional, a business owner, or an AI enthusiast, this course is designed for you!
Meet Your Course Creator
Join us on this exciting journey led by an industry expert with years of experience in AI and e-learning content creation. Our instructor brings a wealth of knowledge and practical insights, ensuring you get the most comprehensive and up-to-date education in Prompt Engineering.
What’s in Store for You?
This course is meticulously structured to cover everything you need to know about Prompt Engineering:
Section 1: Introduction to Prompt Engineering
-
Understanding the basics of prompt crafting
-
Exploring the role of prompts in AI interactions
-
Real-world applications and impact
Section 2: Advanced Prompting Techniques
-
Tokenization, parsing, and sentiment analysis
-
Chained prompting and its benefits
-
Crafting prompts for specific use cases
Section 3: Enhancing Creativity with AI
-
Using prompts to generate creative content
-
AI-assisted brainstorming and idea generation
-
Real-life examples and case studies
Section 4: Boosting Productivity through AI
-
Automating tasks with well-crafted prompts
-
Improving decision-making with AI insights
-
Best practices for integrating AI into your workflow
Section 5: Ethics and Best Practices in Prompt Engineering
-
Addressing ethical considerations and biases
-
Ensuring responsible and fair AI usage
-
Staying updated with the latest trends and tools
Section 6 and Beyond: Future Insights and Innovations
-
Ongoing updates on new tools and technologies
-
Monthly insights and innovations in AI
-
Exclusive access to advanced modules and resources
Why Should You Take This Course?
In this comprehensive course, you’ll:
-
Learn from Scratch: No prior knowledge needed; we start from the basics and guide you through every step.
-
Master Real-World Applications: Our course is packed with practical insights and real-world scenarios.
-
Access a Wealth of Resources: Engage with quizzes, reading materials, and hands-on projects to deepen your understanding.
-
Stay Ahead of the Curve: As AI evolves, so does this course with regular updates on new tools and trends.
-
Learn from an Expert: Benefit from the instructor’s extensive industry experience and insights.
Ready to empower yourself with the skills to create effective AI prompts and transform your professional life? Enroll now and embark on a journey that will unlock new possibilities and elevate your career!
With the Complete Prompt Engineering Practical Course C|PEP, you’re not just learning about AI; you’re mastering the art of prompting and transforming your approach to creativity and productivity. Don’t miss this opportunity to stay ahead in the AI-driven world.
Enroll today!
-
1Motivating Example: Create an educational activity plan for school kids using AIVideo lesson
-
2Overview of the Course and how to develop your thinking towards AI and LLMsVideo lesson
-
3What is Persona Pattern and how this is useful in Prompt EngineeringVideo lesson
-
4How to create an account in ChatGPT, Google Gemini and Meta AI for free ?Video lesson
-
5Why does the output contain randomness?Video lesson
-
6Connect with me!Text lesson
-
7What is Prompt Engineering? Definition and OverviewVideo lesson
-
8History and Evolution of Prompt EngineeringVideo lesson
-
9Key Points to Remember about History and EvolutionText lesson
-
10Key Concepts and Terminology in : AI, Machine Learning, Neural NetworksVideo lesson
-
1114 AI-related terms with simple examples [Important Notes]Text lesson
-
12Understanding Artificial Intelligence (AI): A complete Guide for LearnersVideo lesson
-
13Simplified breakdown of the key points about Artificial Intelligence (AI)Text lesson
-
14Discover Machine Learning (ML): A Guide for LearnersVideo lesson
-
15Simplified breakdown of the key points about Machine Learning (ML)Text lesson
-
16Difference between Artificial Intelligence (AI) and Machine Learning (ML)Video lesson
-
17Exploring Neural Networks: A Simple and Fun GuideVideo lesson
-
18Simplified breakdown of the key points about Neural NetworksText lesson
-
19What is the differences between AI, ML and Neural Networks ?Video lesson
-
20Discovering Natural Language Processing (NLP): A Fun and Simple GuideVideo lesson
-
21Simplified breakdown of the key points about Natural Language Processing (NLP)Text lesson
-
22What is the differences between AI, ML,Neural Networks and NLP?Video lesson
-
23Tokenization: A Simple and Exciting GuideVideo lesson
-
24Simplified explanation of TokenizationText lesson
-
25Journey into the World of Sentiment Analysis: A Simple Guide for Curious MindsVideo lesson
-
26Simplified breakdown of the key points about Sentiment AnalysisText lesson
-
27Differences between Tokenization and Sentiment Analysis through examplesVideo lesson
-
28Entering the World of Prompting: A Fun Guide for LearnersVideo lesson
-
29Simplified explanation of PromptingText lesson
-
30The Adventure of Parsing: An Easy-to-Understand GuideVideo lesson
-
31Simplified explanation of ParsingText lesson
-
32Differences between Tokenization, Sentiment Analysis and Parsing through ex!Video lesson
-
33Exploring the World of Deep Learning: A Simple Guide for ExplorersVideo lesson
-
34Simplified explanation of Deep LearningText lesson
-
35Learn the Differences between AI, ML, NLP, Neural Networks and Deep LearningVideo lesson
-
36The World of Supervised Learning: A Simple and Fun ExplanationVideo lesson
-
37Simplified explanation of Supervised LearningText lesson
-
38The Adventure of Unsupervised Learning: A Fun and Easy Explanation for EveryoneVideo lesson
-
39Simplified explanation of Unsupervised LearningText lesson
-
40Differences between Supervised Learning and Unsupervised Learning with examples!Video lesson
-
41Exploring Reinforcement Learning: A Fun and Simple JourneyVideo lesson
-
42Simplified explanation of Reinforcement LearningText lesson
-
43The Fascinating World of Zero-shot Learning: Explained SimplyVideo lesson
-
44Simplified explanation of Zero-shot LearningText lesson
-
45Understanding Few-shot Learning: A Simple and Engaging ExplanationVideo lesson
-
46Simplified explanation of Few-shot LearningText lesson
-
47Differences between Reinforcement Learning, Zero-shot and Few-shot Learning!Video lesson
-
48Comparison Table of Key ConceptsVideo lesson
-
49Understanding the Key Concepts with an Example ScenarioVideo lesson
-
50Section 1 Quiz: "Foundations of Prompt Engineering"Quiz
Welcome to the "Foundations of Prompt Engineering" quiz! This engaging and interactive quiz is designed to test your understanding of the essential concepts covered in Section 1. Whether you're a beginner or have some prior knowledge, this quiz will challenge your comprehension of AI, machine learning, neural networks, NLP, and more. Get ready to apply what you've learned through a variety of multiple-choice, fill-in-the-blank, and multiple-selection questions.
Dive in, and let's see how well you've grasped the fundamentals of prompt engineering!
-
51Section IntroVideo lesson
-
52Understanding AI Language Models: An Elaborative GuideVideo lesson
-
53How AI Models Understand and Generate Text ?Video lesson
-
54What is Large Language Model ?Video lesson
-
55What are the various LLM (AI Models) available for free?Video lesson
-
56Limitations and CapabilitiesVideo lesson
-
57Crafting Effective Prompts: Elements of a Good PromptVideo lesson
-
58Prompt types for AI language models can generally be categorized as follows:Video lesson
-
59Types of prompts and real world responses!Video lesson
-
60Common Pitfalls and How to Avoid ThemVideo lesson
-
61Basics of Prompt Design TestQuiz
Welcome to the Section 2: Basics of Prompt Design Test! This test is designed to help you reinforce your understanding of the key concepts covered in this section. The questions are formulated to assess your knowledge of AI language models, how they understand and generate text, the limitations and capabilities of these models, and how to craft effective prompts. The test includes a variety of question types, such as multiple-choice questions (MCQs), fill-in-the-blank, and multiple selection questions.
-
62Section IntroVideo lesson
-
63Prompt Tuning and Refinement: Iterative Testing and AdjustmentVideo lesson
-
64Analyzing Model ResponsesVideo lesson
-
65Contextual and Conditional Prompting: Setting ContextsVideo lesson
-
66Conditional Statements and Logic in Prompt EngineeringVideo lesson
-
67Creative and Complex Prompting: Storytelling, Role-Playing, & Scenario BuildingVideo lesson
-
68Recap of Section 3 Intermediate Prompt Engineering Techniques [Part-1]Video lesson
-
69Recap of Section 3 Intermediate Prompt Engineering Techniques [Part-2]Video lesson
-
70Section 3 Quiz: "Intermediate Prompt Engineering Techniques"Quiz
Welcome to the "Intermediate Prompt Engineering Techniques" quiz! This quiz is designed to test your understanding of the advanced concepts covered in Section 3. It will challenge your knowledge of prompt tuning and refinement, iterative testing, analyzing model responses, contextual prompting, conditional logic, and creative scenarios. Let's see how well you've mastered these intermediate techniques!
-
71Section IntroVideo lesson
-
72Advanced Techniques in Prompt Engineering : Chain of Thought PromptingVideo lesson
-
73Zero-shot and Few-shot LearningVideo lesson
-
74Ethical Considerations and Best Practices: Bias and FairnessVideo lesson
-
75Privacy and Data SecurityVideo lesson
-
76Troubleshooting and Optimizing Prompts: Dealing with Ambiguity and VaguenessVideo lesson
-
77Maximizing Model PerformanceVideo lesson
-
78Prompt Patterns [Discover Over 10 Patterns with Practical Demonstrations]Video lesson
External Links May Contain Affiliate Links read more