Easy Learning with Complete Prompt Engineering Practical Course C|PEPC
Development > Software Development Tools
8.5 h
£34.99 Free
4.4
12908 students

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Language: English

Sale Ends: 29 Apr

Master Prompt Engineering: Generative AI & LLM Mastery

What you will learn:

  • Master the fundamentals of prompt engineering, including tokenization, parsing, and sentiment analysis.
  • Explore top AI models like ChatGPT, Midjourney, and Stable Diffusion.
  • Unlock your creative potential and enhance productivity through AI-driven automation.
  • Learn advanced prompt engineering techniques such as chained prompting and context-aware prompting.
  • Implement responsible AI practices by addressing ethical considerations and potential biases.
  • Understand and apply key prompting principles for professional-level results.
  • Build real-world AI applications using practical exercises and case studies.
  • Develop superior AI interaction skills for more effective communication.
  • Stay updated on the latest advancements in AI technology and prompt engineering best practices.

Description

Harness the transformative power of AI with our comprehensive prompt engineering masterclass.

This course goes beyond the basics, equipping you with the practical skills and advanced techniques to effectively communicate with and leverage large language models (LLMs) like ChatGPT and beyond. Learn to craft precise prompts for various AI tools, unlock your creative potential, and boost your productivity through AI-driven automation. Whether you're a creative professional, a business owner, or an AI enthusiast, this course will provide you with the in-demand skills needed to thrive in the rapidly evolving world of artificial intelligence.

You will explore diverse topics including:

  • Understanding the foundations of prompt engineering, including tokenization, parsing, and sentiment analysis.
  • Mastering advanced prompting techniques like chained prompting and context-aware prompting.
  • Leveraging AI for creative content generation, brainstorming, and idea refinement.
  • Automating tasks, enhancing decision-making, and integrating AI seamlessly into your workflow.
  • Addressing the ethical considerations and biases inherent in AI, promoting responsible AI usage.
  • Staying updated on the latest advancements in AI tools and technologies.

This course features practical exercises, real-world case studies, and regular updates to ensure you're always at the forefront of this dynamic field. Don't just learn about AI – master the art of prompting and unlock its limitless possibilities.

Enroll today and embark on your journey to AI mastery!

Curriculum

Course Introduction

This introductory section sets the stage for your prompt engineering journey. You'll explore motivating examples, gain an overview of the course structure, understand the concept of persona patterns, learn how to create free accounts on popular AI platforms (ChatGPT, Google Gemini, Meta AI), and delve into the reasons behind output randomness. The final lecture connects you with the instructor for continued support and engagement.

Introduction to Prompt Engineering

This section provides a comprehensive foundation in prompt engineering. Beginning with a definition and overview of prompt engineering and its history, you'll delve into key concepts like AI, Machine Learning, Neural Networks, and Natural Language Processing (NLP). You'll explore crucial elements such as tokenization, sentiment analysis, and parsing, and understand the differences between various AI learning types (supervised, unsupervised, reinforcement, zero-shot, few-shot). The section concludes with a quiz to reinforce your understanding of these fundamental concepts.

Basics of Prompt Design

This section focuses on practical prompt design. You will learn about AI language models, how they process and generate text, explore different LLM models, understand their capabilities and limitations, and discover essential elements of effective prompts, covering various prompt types. The section concludes with a quiz to test your understanding of fundamental prompt design principles.

Intermediate Prompt Engineering Techniques

Building upon the foundation, this section introduces intermediate techniques, including prompt tuning and refinement through iterative testing. You'll learn to analyze model responses, master contextual and conditional prompting, and explore creative applications like storytelling and role-playing. The section culminates in a quiz to assess your grasp of these advanced techniques.

Advanced Applications and Strategies

This section explores advanced prompt engineering strategies. You'll master chain of thought prompting, zero-shot and few-shot learning, and learn about ethical considerations and best practices, focusing on bias, fairness, privacy, and data security. You will also learn how to troubleshoot and optimize prompts for improved performance.

Prompt Power: Conversations & Insights

Here, you'll learn how to introduce new information to LLMs, manage prompt size effectively, and customize large language models using root prompts. The section highlights the practical applications of root prompts for enhanced AI interaction and control.

Prompt Patterns I

This section delves into specific prompt patterns to enhance your skills. You'll explore techniques like question refinement, the cognitive verifier pattern, audience persona patterns, and flipped interaction patterns, illustrating their application across various contexts.

Writing Effective Few-Shot Examples

This section focuses on the art of crafting effective few-shot examples to guide LLMs towards desired outputs. You'll learn how to leverage few-shot prompting for complex tasks and diverse industries, focusing on identifying and correcting potential mistakes. The section also explores chain of thought prompting and the use of external tools.

The Prompt Architect’s Toolbox

This section presents a comprehensive collection of prompt patterns for precise prompting. It covers the game play pattern, template pattern, meta-language pattern, recipe pattern, alternative approaches pattern, iterative refinement pattern, and constraints-based pattern. Each pattern is explained with its format for clear understanding and application.

Real-World AI Projects and Applications

This section provides a hands-on experience by guiding you through a real-world AI project: building an AI-powered study buddy. You'll learn to design, implement, and test your project, applying the skills and knowledge gained throughout the course.

Regular Updates and Final Thoughts

This concluding section provides insights into future updates and directions for your ongoing learning in the field of prompt engineering.

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