Prompt 工程课程可以帮助您学习如何为 AI 模型设计有效的提示,了解自然语言 Processing 的细微差别,并优化与人工智能系统的交互。您可以掌握制作清晰指令、完善 Query 以获得更好响应以及评估 AI 输出相关性和准确性的技能。

IBM
您将获得的技能: 生成式人工智能, Prompt Engineering, ChatGPT, 提示模式
初级 · 课程 · 1-4 周

Vanderbilt University
您将获得的技能: LLM 申请, 人工智能和机器学习(AI/ML), Prompt Engineering, 大型语言模型, ChatGPT, 生成式人工智能, 人工智能, 解决问题, 创造性地解决问题, 提示模式, 创造性思维, 生产率, OpenAI
初级 · 课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Adobe Creative Cloud, Adobe Illustrator, Adobe Photoshop, Graphic and Visual Design, Generative AI, Storytelling, Adobe Premiere, Video Production, Creative Design
初级 · 课程 · 1-4 周

您将获得的技能: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, Graphing, Generative AI Agents, Generative AI, Timelines, LLM Application, ChatGPT, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning
初级 · 专项课程 · 1-4 周

Vanderbilt University
您将获得的技能: LLM 申请, 风险管理框架, 人工智能和机器学习(AI/ML), 信息管理, 大型语言模型, ChatGPT, 负责任的人工智能, 生成式人工智能, 生产率, 文件管理, 创造性思维, 人工智能, Prompt Engineering, 构思, 解决问题, 提示模式, 数据分析, 数据展示, 验证和确认, OpenAI
初级 · 专项课程 · 1-3 个月

您将获得的技能: Multimodal Prompts, Prompt Engineering, Prompt Patterns, Responsible AI
初级 · 课程 · 1-4 周

Vanderbilt University
您将获得的技能: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, Creative Problem-Solving, Generative AI, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Artificial Intelligence, Innovation, Brainstorming, Large Language Modeling, Data Analysis, Organizational Skills, Education Software and Technology, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 大型语言模型, 应用程序开发, ChatGPT, LLM 申请, Prompt Engineering, OpenAI
初级 · 项目 · 不超过 2 小时

Vanderbilt University
您将获得的技能: Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, LLM Application, Ideation, Verification And Validation, Data Presentation, Productivity, OpenAI, AI Personalization, Document Management, Responsible AI, Agentic systems, Tool Calling, Artificial Intelligence, Personalized Service, Large Language Modeling, Software Development
初级 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, Exploratory Data Analysis, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Supervised Learning, Keras (Neural Network Library), Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Responsible AI, LLM Application, Data Import/Export
初级 · 专业证书 · 3-6 个月

Vanderbilt University
您将获得的技能: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Legal Technology, LLM Application, Productivity, OpenAI, AI Personalization, Legal Strategy, Personalized Service, Large Language Modeling, Artificial Intelligence, Responsible AI, Legal Research, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Expense Management, Creative Thinking, Productivity Software
初级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: 风险, 人工智能和机器学习(AI/ML), 大型语言模型, 深度学习, ChatGPT, 战略领导力, 生成式人工智能, 生成模型架构, 负责任的人工智能, 商业道德, LLM 申请, 数据伦理, Prompt Engineering, 领导与管理, 提示模式, 法律风险, 商业开发, 内容创作, AI 产品战略, OpenAI
初级 · 专项课程 · 3-6 个月
Prompt engineering is the practice of designing and refining prompts to effectively communicate with AI models, particularly those that generate text. This skill is crucial as it directly influences the quality and relevance of the AI's output. In an era where AI is increasingly integrated into various industries, understanding how to craft effective prompts can enhance productivity, creativity, and problem-solving capabilities. By mastering prompt engineering, individuals can leverage AI tools more effectively, making this skill essential for anyone looking to stay competitive in the job market.
Careers in prompt engineering are emerging as AI technologies continue to evolve. Potential job titles include AI Prompt Engineer, Machine Learning Specialist, Data Scientist, and AI Product Manager. These roles often involve collaborating with AI systems to optimize their performance and ensure they meet user needs. Additionally, industries such as education, law, and technology are increasingly seeking professionals skilled in prompt engineering to enhance their AI applications, making this a promising field for job seekers.
To excel in prompt engineering, you should develop a mix of technical and creative skills. Key areas include understanding AI and machine learning fundamentals, familiarity with programming languages like Python, and knowledge of natural language processing (NLP). Additionally, honing your ability to think critically and creatively will help you craft effective prompts. Communication skills are also vital, as you will need to articulate your ideas clearly to both technical and non-technical stakeholders.
There are several online courses available that can help you learn prompt engineering. Notable options include the Prompt Engineering Specialization and the Essentials of Prompt Engineering. These courses provide foundational knowledge and practical skills to help you effectively engage with AI technologies. Additionally, specialized courses like AI Foundations: Prompt Engineering with ChatGPT offer targeted insights into using specific AI tools.
Yes. You can start learning prompt engineering on Coursera for free in two ways:
If you want to keep learning, earn a certificate in prompt engineering, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
To learn prompt engineering, start by exploring foundational courses that introduce you to the principles of AI and prompt design. Engage with practical exercises to apply what you learn, and consider joining online communities or forums where you can share insights and ask questions. As you progress, seek out advanced courses that focus on specific applications of prompt engineering, such as Advanced Prompt Engineering for Everyone. This structured approach will help you build confidence and competence in the field.
Typical topics covered in prompt engineering courses include the basics of AI and machine learning, techniques for crafting effective prompts, and the evaluation of AI responses. You may also explore advanced concepts such as prompt optimization, ethical considerations in AI usage, and the integration of AI tools in various industries. These topics provide a comprehensive understanding of how to work with AI systems effectively.
For training and upskilling employees in prompt engineering, courses like the Prompt Engineering for Educators Specialization and NVIDIA: Prompt Engineering and Data Analysis are excellent choices. These programs are designed to equip professionals with the skills needed to leverage AI in their specific fields, fostering a more innovative and efficient workforce.