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10 Best Prompt Engineering Courses

10 Best Prompt Engineering Courses

Within the ever-evolving landscape of artificial intelligence, the art of prompt engineering has emerged as a pivotal skill set for professionals and enthusiasts alike. As AI systems, particularly language models like GPT, develop into increasingly sophisticated, the flexibility to effectively communicate with these models has gained paramount importance. Prompt engineering, essentially, is the craft of designing inputs that guide these AI systems to provide probably the most accurate, relevant, and inventive outputs.

But what exactly is prompt engineering, and why has it develop into such a buzzword within the tech community?

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. It involves formulating questions or statements in a way that leverages the capabilities of AI to provide specific, relevant, and accurate outputs.

This field sits on the intersection of linguistics, computer science, and inventive pondering. It requires an understanding of how AI models process information and a creative touch to tailor prompts that align with the specified consequence. The goal is to maximise the efficiency and applicability of AI responses, whether it’s generating text, code, images, and even engaging in complex problem-solving.

In recognition of this burgeoning field, we have now curated an inventory of the very best prompt engineering courses. Whether you might be a seasoned AI practitioner or a curious newcomer, these courses offer invaluable insights into the nuances of prompt engineering. From understanding the fundamental principles of language models to mastering advanced techniques for specific applications, these courses cover a large spectrum of information and skills.

The “Prompt Engineering Specialization” offered by Vanderbilt University is an exceptional program designed to remodel learners into experts in prompt engineering. This comprehensive series of three courses takes you from the basics to advanced techniques, enabling you to harness the complete potential of Generative AI. The specialization is centered around practical, hands-on learning, ensuring that students don’t just understand the theories but can effectively apply them in various contexts.

The specialization starts with the “Prompt Engineering for ChatGPT” course, which spans 18 hours and has a formidable rating of 4.8 from over 2,000 participants. Here, learners delve into the art of crafting prompts for big language models like ChatGPT, learning tips on how to leverage their capabilities for a spread of applications. The second course, “ChatGPT Advanced Data Evaluation,” focuses on automating tasks using ChatGPT’s code interpreter. This 10-hour course, also highly rated at 4.8, teaches students to automate document handling and data extraction, amongst other skills. The ultimate course, “Trustworthy Generative AI,” is an 8-hour journey into ensuring reliability and trust in AI outputs.

Key Features

  • In-Depth Learning: From basic concepts to advanced skills in prompt engineering.
  • Hands-On Projects: Practical exercises to construct and refine your prompt engineering skills.
  • Diverse Applications: Learn to use these skills in various contexts like automation, data evaluation, and problem-solving.
  • Applied Learning Project: Real-world applications, from social media posts to complex problem-solving using AI.
  • Expert Instruction: Learn from university and industry experts in the sphere.
  • Certification: Earn a career-enhancing certificate from Vanderbilt University.

This course is right for people seeking to deeply understand and effectively apply prompt engineering of their skilled, academic, or personal endeavors.

“Generative AI: Prompt Engineering Basics” offered by IBM is a vital course for beginners looking to determine a robust foundation in the sphere of prompt engineering. This 7-hour course is tailored to supply a versatile learning experience, perfect for professionals, students, and enthusiasts who’re desirous to explore the world of generative AI. The course is structured to impart a comprehensive understanding of prompt engineering concepts, best practices, and practical techniques.

The course is split into three well-structured modules, each specializing in different features of prompt engineering. Module 1 introduces the concept of prompt engineering in generative AI, emphasizing best practices for writing effective prompts. Module 2 delves deeper into specific techniques and approaches to boost the precision and relevance of generative AI model responses. The ultimate module features a graded quiz, a hands-on project, and optional content that extends into image generation prompts and using IBM’s Prompt Lab tool.

Key Features

  • Beginner-Friendly: Designed for a large audience, including professionals and enthusiasts with no prior experience.
  • Flexible Learning: Learn at your personal pace with a course structure that accommodates different schedules.
  • Comprehensive Modules: Covering fundamental concepts, techniques, and hands-on practice in prompt engineering.
  • Diverse Techniques: Explore zero-shot, few-shot, Interview Pattern, Chain-of-Thought, and Tree-of-Thought techniques.
  • Industry Tools: Introduction to tools like IBM Watsonx Prompt Lab, Spellbook, and Dust for practical prompt engineering.
  • Hands-On Experience: Engage in labs and a final project to use the learned concepts in real-world scenarios.
  • Industry Expert Insights: Gain insights from practitioners about effective prompt crafting and gear utilization.
  • Profession Certificate: Earn a shareable certificate upon completion, adding value to your skilled profile.

This course is a wonderful selection for those starting their journey in prompt engineering, offering a solid grounding in the sphere and equipping learners with the abilities to effectively guide AI models towards desired outcomes.

Edureka’s “Prompt Engineering with Generative AI” course is an expertly crafted program by leading industry professionals, designed for people keen on delving into AI-driven creativity and practical applications of prompt engineering. This comprehensive course is tailored to empower learners with the abilities to effectively utilize prompts for generating customized text, code, and more, transforming the landscape of problem-solving. It’s a really perfect platform for anyone aiming to be a pioneer in the sphere of artificial intelligence innovation.

The course unfolds through five in-depth modules, each specializing in a definite aspect of prompt engineering and generative AI. It begins with “Generative AI and its Industry Applications,” introducing the principles of Generative AI, various generative models, their applications, and ethical considerations. The journey continues with “NLP and Deep Learning,” diving into the essentials of Natural Language Processing, deep learning’s role in NLP, and foundational concepts of neural networks. The third module, “Autoencoders and GANs,” ventures into the realms of autoencoders and Generative Adversarial Networks, exploring their architecture, training, and diverse applications.

Because the course progresses, “Language Models and Transformer-based Generative Models” take center stage, shedding light on different language models, the Transformer architecture, and advanced models like GPT and BERT. The culminating module, “Prompt Engineering,” is devoted entirely to the principles and practices of prompt engineering, encompassing prompt design strategies, sorts of prompting, and the art of crafting effective prompts.

Key Features

  • Expertly Curated Content: Developed by industry leaders to make sure relevance and practicality.
  • Wide-Ranging Curriculum: Encompasses the whole lot from AI fundamentals to classy prompt engineering techniques.
  • Give attention to Practical Applications: Strong emphasis on using prompts for real-world problem-solving across various domains.
  • Detailed Modular Approach: Each module provides thorough insights into specific areas of generative AI and prompt engineering.
  • Up-to-Date Industry Topics: Includes the newest developments in AI models and their applications.
  • Hands-On Learning: Opportunities for practical application and experimentation with diverse AI tools and models.
  • Profession Advancement: Ideal for professionals searching for to integrate advanced AI skills into their skillset.

This course is an ideal fit for those searching for a comprehensive understanding of generative AI and its practical applications in prompt engineering, offering invaluable knowledge and skills for any AI skilled or enthusiast.

The “ChatGPT Complete Course: Beginners to Advanced” is a comprehensive program designed for those desirous to master generative AI with a give attention to ChatGPT. This course covers prompt engineering, plugin integration, and ChatGPT API usage, and offers insights into the newest developments like GPT-4 and ChatGPT Plus. It’s tailored for learners who aim to excel within the ever-evolving digital tech space.

The course is structured into five key modules, each offering a singular perspective on ChatGPT and its applications:

  1. Unveiling ChatGPT covers the fundamentals of Generative AI and ChatGPT, including its applications and the long run of human-AI collaboration.
  2. Prompt Engineering and ChatGPT Plugins delves into prompt engineering fundamentals, its applications, and enhancing ChatGPT responses.
  3. ChatGPT for Productivity showcases using ChatGPT in various fields corresponding to data science, marketing, and project management.
  4. ChatGPT for Developers focuses on programming, debugging, and API integrations with ChatGPT.
  5. GPT Models and Effective-tuning ChatGPT explores the architecture and fine-tuning of GPT models, including data preparation and training processes.

This course structure ensures a holistic learning experience, combining theoretical knowledge with practical applications.

Key Features

  • Comprehensive Curriculum: Covering ChatGPT from basics to advanced applications.
  • Practical Projects: Real-life case studies for hands-on learning.
  • Emphasis on Prompt Engineering: Focused on prompt engineering and ChatGPT API integrations.
  • Latest AI Advancements: Insights into developments like GPT-4 and ChatGPT Plus.
  • Versatile Toolset Exposure: Including Python, Java, TensorFlow, and Keras.
  • Profession Enhancement: Ideal for people aiming to boost their skills in AI and digital technology.

This course is a invaluable resource for anyone from beginners to advanced learners searching for to delve into the world of ChatGPT and its diverse applications.

“Prompt Engineering for ChatGPT” by Vanderbilt University is a course that equips learners with the expertise to work effectively with large language models like ChatGPT. A part of the Prompt Engineering Specialization program, it’s designed to show the transformative power of prompt engineering in various features of life and business; this course is ideal for anyone aspiring to master using generative AI tools.

The course is structured into six modules, specializing in the importance of ChatGPT and similar large language models in a spread of applications. It begins by emphasizing the importance of understanding how these models reply to natural language prompts. The curriculum progresses from basic prompt crafting to classy techniques, aimed toward solving complex problems across different domains.

Learners will explore the vast potential of ChatGPT in tasks like writing, summarization, game play, planning, simulation, and programming. The course is designed to construct strong prompt engineering skills, making students proficient in using large language models for diverse tasks of their jobs, businesses, and private lives.

Key Features

  • Comprehensive Curriculum: Focused on effective prompt engineering for big language models.
  • Practical Application: Showcases diverse uses of ChatGPT in personal and skilled contexts.
  • Skill Development: Emphasizes constructing strong prompt writing skills for enhanced productivity.
  • Broad Audience Appeal: Suitable for anyone with basic computer usage skills.
  • Problem-Solving Focus: Equips learners to tackle complex problems using prompt engineering.

This course is right for people seeking to delve deep into the world of generative AI, offering a gateway to becoming proficient within the rapidly evolving field of prompt engineering.

“ChatGPT Prompt Engineering for Developers,” a course offered by DeepLearning.AI, is designed to immerse aspiring prompt engineers into the art of generating precise and interesting AI responses. Created by Isa Fulford from OpenAI and Andrew Ng from DeepLearning.AI, this course goes beyond the fundamentals of prompt creation for web interfaces, specializing in leveraging LLMs through API calls for constructing generative AI applications.

This course stands out for its practical approach, incorporating real-world examples to supply an intensive understanding of prompt engineering. It starts with best practices in prompting software development, covering essential areas corresponding to summarizing complex information, inferring from incomplete data, transforming text styles, and expanding ideas into detailed narratives using advanced machine learning techniques.

Moreover, the course delves into efficient management of prompt libraries, an important skill for prompt engineering roles. It caters to a big selection of learners, from beginners with a basic understanding of Python to advanced machine learning engineers searching for to explore the forefront of prompt engineering and using LLMs.

Key Features

  • In-Depth Learning: Offers a comprehensive guide on prompt engineering for developers.
  • Practical Approach: Emphasizes real-world applications and practical examples.
  • Diverse Skills Development: Covers summarizing, inferring, transforming, and expanding text using AI.
  • Prompt Library Management: Teaches efficient organization and utilization of prompt libraries.
  • Wide Audience Appeal: Suitable for beginners with basic Python knowledge and advanced engineers.
  • Expert Creators: Developed by renowned professionals from OpenAI and DeepLearning.AI.

This course is right for anyone aiming to master prompt engineering, whether starting out or seeking to advance in the sphere, providing essential skills for leveraging AI in software development.

LearnPrompting’s “Introductory Course on Prompt Engineering” offers a really perfect entry point into the world of AI prompt engineering. This free course is tailored for each beginners and advanced learners, providing a comprehensive overview of AI concepts and complex prompt engineering techniques. Renowned for its high-quality content and effectiveness, the course is a foundational guide within the complexities of generative artificial intelligence, crucial in the trendy landscape of computer science.

The course is thoughtfully structured, starting with an introduction to AI systems and their applications, before delving into the fundamentals of prompt engineering. It addresses how input prompts function inside language models like ChatGPT. The in-depth learning modules further explore topics like neural networks and machine learning techniques, making complex subjects accessible and comprehensible.

A standout feature of this course is its hands-on approach, offering students practical experience with real-world generative AI applications. This not only enhances theoretical knowledge but in addition equips learners with practical skills applicable to prompt engineering roles or similar positions involving AI models.

The course covers a spread of topics including prompting, role prompting, few-shot prompting, combining techniques, formalizing prompts, chatbot basics, LLM settings, and the pitfalls of LLMs. Visual aids and examples accompany each concept, ensuring a fascinating and contextual learning experience.

Key Features

  • Comprehensive Coverage: From basic AI concepts to advanced prompt engineering techniques.
  • Accessible Learning: Breaks down complex topics into easily comprehensible modules.
  • Practical Experience: Hands-on work with real-world AI applications.
  • Diverse Topics: In-depth exploration of varied features of prompt engineering.
  • Engaging Teaching Methods: Use of visual aids and examples to boost understanding.
  • Free Access: Making quality education in AI accessible to everyone.

This introductory course by LearnPrompting is ideal for anyone seeking to step into the world of AI prompt engineering, offering a solid foundation and practical skills which are crucial for fulfillment on this field.

“Constructing Systems with the ChatGPT API” is a specialized course designed to show efficient construction of multi-step systems using large language models. This course is right for learners seeking to automate complex workflows and unlock latest development capabilities. Taught by Isa Fulford from OpenAI and Andrew Ng from DeepLearning.AI, it builds on their popular “ChatGPT Prompt Engineering for Developers” and provides insights into creating sophisticated systems that interact dynamically with AI models.

The course is concise yet full of practical knowledge. It centers across the concept of using multistage prompts to separate complex tasks right into a pipeline of subtasks, enhancing the efficiency and functionality of LLMs. Key learning points include:

  • Developing chains of prompts that construct upon the completions of prior prompts.
  • Creating systems where Python code interacts with each AI completions and latest prompts.
  • Constructing a customer support chatbot using all of the techniques covered within the course.

Learners can even gain skills in classifying user queries, evaluating queries for safety, and processing tasks for chain-of-thought, multi-step reasoning. Despite being a one-hour course, it provides a comprehensive understanding of practical applications, including hands-on examples and built-in Jupyter notebooks for experimenting with the concepts taught.

Key Features

  • Efficient System Constructing: Learn to construct multi-step systems using LLMs.
  • Practical Learning Approach: Hands-on examples for simple comprehension of concepts.
  • Expert Instruction: Taught by industry experts Isa Fulford and Andrew Ng.
  • Interactive Learning Tools: Built-in Jupyter notebooks for practical experimentation.
  • Advanced Techniques: Give attention to multistage prompts and Python code interactions.
  • Real-World Applications: Skills applicable to customer support chatbots and safety evaluations.

This course is ideal for people who’ve some familiarity with AI and need to enhance their skills in constructing advanced, AI-driven systems. Whether you have accomplished the “ChatGPT Prompt Engineering for Developers” course or are only starting, this course offers invaluable insights into the sensible applications of the ChatGPT API.

The “Generative AI Fundamentals Specialization” by IBM is a comprehensive program designed to impart a deep understanding of generative AI’s fundamental concepts, models, tools, and applications. This specialization is right for anyone seeking to leverage the potential of generative AI in enhancing their workplace, profession, and overall life. It’s suitable for professionals from all fields and doesn’t require prior technical knowledge or a background in AI.

The specialization consists of 5 short, self-paced courses, each taking roughly 3–5 hours to finish. These courses cover a spread of topics, including:

  1. Fundamental concepts and capabilities of generative AI foundation models.
  2. Powerful prompt engineering techniques to write down effective prompts for desired AI outcomes.
  3. Constructing blocks and foundation models of generative AI, like GPT, DALL-E, and IBM Granite.
  4. Ethical implications and considerations of generative AI.
  5. Practical applications of generative AI to spice up careers and productivity.

The specialization also includes hands-on labs and projects, allowing learners to practice using popular tools and platforms corresponding to IBM watsonx.ai, OpenAI ChatGPT, Stable Diffusion, and Hugging Face. These labs provide practical experience with text, image, and code generation, prompt engineering tools, and foundation models.

Key Features

  • Comprehensive Understanding: Gain an intensive insight into generative AI concepts, tools, and applications.
  • Practical Prompt Engineering: Learn to write down effective prompts for generative AI models.
  • Ethical Awareness: Discuss the constraints and ethical considerations of generative AI.
  • Profession Enhancement: Recognize the potential of generative AI to enhance skilled skills and workplace efficiency.
  • Hands-On Learning: Engage in labs and projects using popular AI tools and platforms.
  • Accessibility: Suitable for learners with no prior AI background, benefiting professionals from various fields.

This specialization is a invaluable resource for anyone captivated with unlocking the capabilities of generative AI and applying them in an expert context. It offers practical knowledge and skills, making it a really perfect learning path for those latest to the sphere or looking to boost their understanding of generative AI technologies.

“Generative AI for Everyone” by DeepLearning.AI, instructed by AI pioneer Andrew Ng, offers a singular and accessible approach to understanding generative AI. This course is tailored for those searching for a foundational grasp of what generative AI is, how it really works, its potential, and its limitations. It’s designed to empower individuals and professionals to include generative AI into their work effectively.

The course is structured into three insightful modules:

  1. Intro to Generative AI: This module introduces the fundamentals of generative AI, including its common use cases and technological capabilities.
  2. Generative AI Projects: Here, learners engage in hands-on exercises, applying generative AI in practical scenarios and learning effective prompt engineering.
  3. Generative AI in Business and Society: This module explores the broader impact of generative AI on businesses and society, delving into its opportunities and risks.

Throughout the course, Andrew Ng guides learners through the nuances of generative AI, offering insights into real-world applications and customary use cases. The course emphasizes practical experience, with exercises designed to use knowledge in on a regular basis work situations and explore advanced AI uses.

Key Features

  • Foundational Understanding: Learn the essentials of generative AI, its functions, and its limits.
  • Practical Projects: Hands-on exercises for applying generative AI in various contexts.
  • Expert Guidance: Instruction from renowned AI expert Andrew Ng.
  • Business and Societal Impact: Insight into the implications of generative AI for business and society.
  • Accessible to All: Designed to make AI knowledge available to everyone, no matter prior experience.
  • Empowering Approach: Equips learners to participate actively within the AI-powered future.

Generative AI for Everyone seems to be a really perfect course for anyone seeking to understand and apply generative AI of their work and life. It offers a comprehensive yet accessible entry point into the world of AI, making it a superb selection for beginners and people seeking to expand their knowledge on this field.

Navigating the AI Landscape Through Prompt Engineering

These top AI prompt engineering courses offer a comprehensive guide into the evolving world of AI, catering to a big selection of learners from beginners to advanced practitioners. These courses not only equip individuals with the technical know-how of prompt engineering but in addition open doors to modern applications in various fields. As AI continues to shape our digital landscape, mastering prompt engineering becomes crucial, empowering users to effectively communicate with and leverage AI technologies. Whether for profession advancement, personal growth, or academic pursuits, these courses provide the foundational skills needed to navigate and excel within the dynamic realm of AI.


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