Generative AI & Prompt Engineering
Generative AI & Prompt Engineering, available at Free, has an average rating of 4.56, with 18 lectures, 3 quizzes, based on 39 reviews, and has 1003 subscribers.
You will learn about Understand the foundation of large language models (LLMs). Dive into the mechanics of prompt engineering and learn how to craft effective prompts to elicit desired responses from an LLM. Master advanced prompt techniques, including zero-shot, few-shot, and chain-of-thought prompting, to unlock the full potential of LLMs. Develop ethical and responsible AI usage skills: Understand the ethical considerations and societal impacts of deploying LLM. Hands-on AI interactions: Engage in practical exercises that allow direct interaction with LLMs. Stay ahead in the AI curve: Learn about the latest trends and future prospects in the field of AI, preparing you for the evolving landscape of AI technologies. Build a prompt engineering portfolio: Create a diverse portfolio of prompts and responses to showcase your skills and creativity in leveraging LLM technology. Understand what Generative AI is and the difference between models. This course is ideal for individuals who are Professionals in AI-Impacted Roles: Individuals from sectors directly impacted by AI advancements, who are motivated to upskill and adapt to ensure their roles evolve with technological changes, rather than becoming obsolete. or Technology Enthusiasts and Hobbyists: Individuals intrigued by AI's potential and eager to understand how LLMs work and how to effectively interact with them, preparing for a future where AI is ubiquitous. or Software Developers and Engineers: Professionals who anticipate the integration of AI in software development and seek to proactively acquire AI skills to stay relevant and competitive in their field. or Data Scientists and Analysts: Those in data-centric roles looking to harness the power of LLMs for enhanced data analysis and to maintain a competitive edge in a rapidly evolving AI-driven landscape. or Content Creators and Writers: Creative minds who recognize the transformative potential of AI in content creation, seeking to blend their creativity with AI tools to innovate and future-proof their careers. or Educators and Trainers: Teaching professionals aiming to incorporate AI education into their curriculum to provide students with relevant skills and to understand AI’s educational applications themselves. or Business Professionals and Consultants: Individuals in the business world who need to grasp the strategic implications of AI in their sectors, aiming to leverage AI insights for better decision-making and to identify new opportunities. or Students and Lifelong Learners: Those committed to staying ahead in an AI-driven world, whether to enhance their career prospects or to satisfy a personal interest in the evolving technology landscape. It is particularly useful for Professionals in AI-Impacted Roles: Individuals from sectors directly impacted by AI advancements, who are motivated to upskill and adapt to ensure their roles evolve with technological changes, rather than becoming obsolete. or Technology Enthusiasts and Hobbyists: Individuals intrigued by AI's potential and eager to understand how LLMs work and how to effectively interact with them, preparing for a future where AI is ubiquitous. or Software Developers and Engineers: Professionals who anticipate the integration of AI in software development and seek to proactively acquire AI skills to stay relevant and competitive in their field. or Data Scientists and Analysts: Those in data-centric roles looking to harness the power of LLMs for enhanced data analysis and to maintain a competitive edge in a rapidly evolving AI-driven landscape. or Content Creators and Writers: Creative minds who recognize the transformative potential of AI in content creation, seeking to blend their creativity with AI tools to innovate and future-proof their careers. or Educators and Trainers: Teaching professionals aiming to incorporate AI education into their curriculum to provide students with relevant skills and to understand AI’s educational applications themselves. or Business Professionals and Consultants: Individuals in the business world who need to grasp the strategic implications of AI in their sectors, aiming to leverage AI insights for better decision-making and to identify new opportunities. or Students and Lifelong Learners: Those committed to staying ahead in an AI-driven world, whether to enhance their career prospects or to satisfy a personal interest in the evolving technology landscape.
Enroll now: Generative AI & Prompt Engineering
Summary
Title: Generative AI & Prompt Engineering
Price: Free
Average Rating: 4.56
Number of Lectures: 18
Number of Quizzes: 3
Number of Published Lectures: 18
Number of Published Quizzes: 3
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Understand the foundation of large language models (LLMs).
- Dive into the mechanics of prompt engineering and learn how to craft effective prompts to elicit desired responses from an LLM.
- Master advanced prompt techniques, including zero-shot, few-shot, and chain-of-thought prompting, to unlock the full potential of LLMs.
- Develop ethical and responsible AI usage skills: Understand the ethical considerations and societal impacts of deploying LLM.
- Hands-on AI interactions: Engage in practical exercises that allow direct interaction with LLMs.
- Stay ahead in the AI curve: Learn about the latest trends and future prospects in the field of AI, preparing you for the evolving landscape of AI technologies.
- Build a prompt engineering portfolio: Create a diverse portfolio of prompts and responses to showcase your skills and creativity in leveraging LLM technology.
- Understand what Generative AI is and the difference between models.
Who Should Attend
- Professionals in AI-Impacted Roles: Individuals from sectors directly impacted by AI advancements, who are motivated to upskill and adapt to ensure their roles evolve with technological changes, rather than becoming obsolete.
- Technology Enthusiasts and Hobbyists: Individuals intrigued by AI's potential and eager to understand how LLMs work and how to effectively interact with them, preparing for a future where AI is ubiquitous.
- Software Developers and Engineers: Professionals who anticipate the integration of AI in software development and seek to proactively acquire AI skills to stay relevant and competitive in their field.
- Data Scientists and Analysts: Those in data-centric roles looking to harness the power of LLMs for enhanced data analysis and to maintain a competitive edge in a rapidly evolving AI-driven landscape.
- Content Creators and Writers: Creative minds who recognize the transformative potential of AI in content creation, seeking to blend their creativity with AI tools to innovate and future-proof their careers.
- Educators and Trainers: Teaching professionals aiming to incorporate AI education into their curriculum to provide students with relevant skills and to understand AI’s educational applications themselves.
- Business Professionals and Consultants: Individuals in the business world who need to grasp the strategic implications of AI in their sectors, aiming to leverage AI insights for better decision-making and to identify new opportunities.
- Students and Lifelong Learners: Those committed to staying ahead in an AI-driven world, whether to enhance their career prospects or to satisfy a personal interest in the evolving technology landscape.
Target Audiences
- Professionals in AI-Impacted Roles: Individuals from sectors directly impacted by AI advancements, who are motivated to upskill and adapt to ensure their roles evolve with technological changes, rather than becoming obsolete.
- Technology Enthusiasts and Hobbyists: Individuals intrigued by AI's potential and eager to understand how LLMs work and how to effectively interact with them, preparing for a future where AI is ubiquitous.
- Software Developers and Engineers: Professionals who anticipate the integration of AI in software development and seek to proactively acquire AI skills to stay relevant and competitive in their field.
- Data Scientists and Analysts: Those in data-centric roles looking to harness the power of LLMs for enhanced data analysis and to maintain a competitive edge in a rapidly evolving AI-driven landscape.
- Content Creators and Writers: Creative minds who recognize the transformative potential of AI in content creation, seeking to blend their creativity with AI tools to innovate and future-proof their careers.
- Educators and Trainers: Teaching professionals aiming to incorporate AI education into their curriculum to provide students with relevant skills and to understand AI’s educational applications themselves.
- Business Professionals and Consultants: Individuals in the business world who need to grasp the strategic implications of AI in their sectors, aiming to leverage AI insights for better decision-making and to identify new opportunities.
- Students and Lifelong Learners: Those committed to staying ahead in an AI-driven world, whether to enhance their career prospects or to satisfy a personal interest in the evolving technology landscape.
Course Overview
This course offers a comprehensive introduction to Generative AI and the essential techniques of prompt engineering, equipping you with the knowledge and tools needed to navigate the evolving landscape of GenAI adoption.
What You Will Learn:
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What Generative AI is:
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Explore the fundamentals of Generative AI, including its capabilities to generate new content such as text, images, music, and more.
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Learn about the distinctions between traditional AI and Generative AI, focusing on the latter’s ability to create original outputs from various data inputs.
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Examine the ethical and societal implications of GenAI, understanding both its potential benefits and the risks it poses.
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Basic Prompt Engineering Techniques:
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Gain practical insights into the basics of prompt engineering, a crucial skill for effectively utilizing Generative AI models.
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Learn how to craft effective prompts that yield the desired outputs, understanding the nuances of language and context.
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Practice with real-world examples to solidify your understanding and ability to create useful and relevant prompts.
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Advanced Prompt Engineering Techniques:
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Delve deeper into advanced techniques that allow for more sophisticated interactions with GenAI models.
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Understand complex prompting strategies such as the Tree of Thoughts (ToT) technique, Self-Consistency, and Generate Knowledge prompting.
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Explore case studies and advanced applications, providing you with the expertise needed to tackle challenging GenAI tasks.
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Mitigating Risks and Ensuring Ethical Use:
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Learn about the potential biases in large language models (LLMs) and how to mitigate them.
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Study the issues of coherence and hallucinations in GenAI, developing strategies to ensure reliable and accurate outputs.
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Understand the importance of ethical considerations and how to implement comprehensive policies to manage AI-related risks.
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Additional Resources
To complement the course, I will also run 2-hour workshops that cover prompt engineering in more detail, specifically focused on small businesses. These workshops aim to provide deeper insights and hands-on experience with advanced prompting techniques.
Conclusion
Remember, while GenAI promises to change the world, use it as a tool to extend your abilities so as to focus on your vocational and creative capabilities. You can change the world, not GenAI.
Join us in this course to become proficient in GenAI and prepare for the future workforce.
Enrollment
This course is available for free on Udemy, reflecting our mission to provide high-quality, graduate-level education to everyone. Due to platform constraints, the course is under two hours, making it concise and packed with the most relevant content to get you started with Generative AI and prompt engineering.
Enroll now and begin your journey into the transformative world of GenAI.
Course Curriculum
Chapter 1: Introduction
Lecture 1: A Message from the Author
Lecture 2: Course Introduction
Chapter 2: Understanding Large Language Models
Lecture 1: What is Generative AI?
Lecture 2: How Good is GenAI?
Lecture 3: Understanding Why GenAI Can Be Biased
Lecture 4: How do Large Language Models Work?
Lecture 5: Coherence and Hallucinations
Lecture 6: Hallucinations: A Case Study
Lecture 7: GenAI in Society and at the Workplace
Chapter 3: The Basics of Prompt Engineering
Lecture 1: The Basics of Prompting
Lecture 2: Anatomy of a Good Prompt
Lecture 3: Persona-Based and Constrained Prompting Techniques
Lecture 4: Zero/Few Shot Prompting
Lecture 5: Chain of Thought (CoT) Prompting
Chapter 4: Advanced Prompting Techniques
Lecture 1: Tree of Thoughts (ToT) Prompts
Lecture 2: Self Consistency Technique
Lecture 3: Knowledge Creation/Generation Prompts
Chapter 5: Bonus – End of Course
Lecture 1: Special Bonus Lecture
Instructors
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Dr. Giancarlo Crocetti
University Professor and Instructor at Udemy
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 13 votes
- 5 stars: 23 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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