{"id":211325,"date":"2024-03-08T15:01:35","date_gmt":"2024-03-08T15:01:35","guid":{"rendered":"https:\/\/michigandigitalnews.com\/index.php\/2024\/03\/08\/these-6-prompt-engineering-courses-can-you-optimize-your-use-of-chatgpt-and-other-generative-ai-tools\/"},"modified":"2025-06-25T17:21:00","modified_gmt":"2025-06-25T17:21:00","slug":"these-6-prompt-engineering-courses-can-you-optimize-your-use-of-chatgpt-and-other-generative-ai-tools","status":"publish","type":"post","link":"https:\/\/michigandigitalnews.com\/index.php\/2024\/03\/08\/these-6-prompt-engineering-courses-can-you-optimize-your-use-of-chatgpt-and-other-generative-ai-tools\/","title":{"rendered":"These 6 prompt engineering courses can you optimize your use of ChatGPT and other generative AI tools"},"content":{"rendered":"

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It\u2019s no secret\u2014generative AI is pretty cool. Whether you\u2019ve used OpenAI\u2019s ChatGPT<\/a>, Google\u2019s Gemini, Microsoft\u2019s Copilot, being able to ask for homework help, generate code, or simply compile business ideas with the click of a button provides endless opportunities for innovation and learning.<\/p>\n

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At the same time, the rise in popularity of generative AI has also created debate<\/a> about the potential need for ethical, security, and privacy guardrails<\/a>\u2014especially when it comes to education.\u00a0<\/p>\n

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UNC Kenan-Flagler’s #1-ranked online MBA is a top choice for experienced professionals with strong undergraduate performance. You can earn your degree at your own pace\u2014in 18 to 36 months\u2014without sacrificing academic quality and rigor. Access lifelong career benefits and join a global community of over 42,000 alumni with an AACSB-accredited online MBA from UNC-Chapel Hill. GMAT waivers available. Learn more today.<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

These considerations are also important considering their ability to completely reshape the global economy. In fact, JP Morgan estimates<\/a> generative AI could increase the world\u2019s GDP by $7\u2013$10 trillion.<\/p>\n

But no matter what generative AI tool you use, the tech relies heavily on one discipline to work: prompt engineering. Without it, there would be a big disconnection between a generative AI\u2019s input and output.<\/p>\n

What is prompt engineering?<\/h2>\n

Who better to answer the question about what is prompt engineering than generative AI itself. Here is the beginning to each of their responses:<\/p>\n

ChatGPT<\/a>: \u201cPrompt engineering refers to the process of carefully crafting or designing the input queries or prompts given to a language model, typically a natural language processing (NLP) model, to achieve desired outputs. In the context of models like GPT-3, prompt engineering involves formulating instructions or questions in a way that elicits accurate and relevant information or responses.\u201d<\/em><\/p>\n

Copilot<\/a>: \u201cPrompt engineering is the art of asking the right questions to get the best output from a Language Model (LLM) using plain language prompts. It enables direct interaction with the LLM, allowing you to communicate with it using only natural language instructions.\u201d<\/em><\/p>\n

Gemini<\/a>: \u201cPrompt engineering is the art of crafting instructions for large language models (LLMs) to get them to perform specific tasks or generate desired outputs. It\u2019s essentially like giving a detailed recipe to a chef, but instead of ingredients and cooking instructions, you\u2019re providing the LLM with text and information to guide its response.\u201d<\/em><\/p>\n

Their responses are strikingly similar\u2014and accurate. Prompt engineering is focused on creating effective inputs for generative AI tools that will yield the best outputs.<\/p>\n

Why is studying prompt engineering important?<\/h2>\n

While the AI\u2019s responses were by and large accurate for helping discern what prompting engineering is\u2014the tools are not perfect. In fact, on ChatGPT and Gemini in particular, there is a warning under the prompt box that the AI can make mistakes.<\/p>\n

With this in mind, learning about prompt engineering is important for those wanting to get the most out of generative AI tools, says Kunal Ahuja, who leads consumer business at Skillsoft\u2019s Codecademy<\/a>.<\/p>\n

\u201cUnderstanding how to craft simple and advanced prompts for real-world applications is a critical skill to learn. As is understanding the ethical implications of prompt writing,\u201d Ahuja tells Fortune<\/em>.\u00a0<\/p>\n

Codecademy<\/a>, one of the largest platforms for learning code and other areas of tech, recently launched new career-based prompt engineering courses, such as for software engineers or marketers. The free, one-hour courses teach learners the best practices that will produce desired outputs when engaging with generative AI.<\/p>\n

\u201cFrom developers to non-technical executives, everyone can benefit from taking prompt engineering courses,\u201d Ahuja says. \u201cIt\u2019s not hyperbolic to say that GenAI is ushering in a new way of working, and it\u2019s critical for all learners to adapt their skill sets. When used correctly, GenAI can be a significant work enabler.\u201d<\/p>\n

There are many other ways to learn about prompt engineering online\u2014each of which vary in terms of cost, length, and objectives. Above all, when picking a program, don\u2019t lose sight of your own learning goals; focus your time on opportunities that will provide you skills and projects that actually can be put to good use in the future\u2014whether that\u2019s in your daily work, a job interview, or future education endeavor.<\/p>\n

Fortune<\/em> has done some of the initial research for you and provided some of the prompt engineer courses out there on the market.\u00a0<\/p>\n

6 prompt engineering courses you can take online<\/h2>\n

Arizona State University Career Catalyst: AI Foundations: Prompt Engineering<\/a><\/h3>\n

ASU\u2019s prompt engineering course is taught by Andrew Maynard, a professor in the university\u2019s school for the future of innovation in society. Its goal is to equip students of all backgrounds with the necessary skills to effectively harness the power of ChatGPT and large language models.\u00a0<\/p>\n

Cost:<\/strong> $49\/month<\/p>\n

Length:<\/strong> 2 hours<\/p>\n

Codecademy: Prompt engineering courses<\/a><\/h3>\n

Codecademy offers career-specific prompt engineering learning opportunities for those interacting with the world of software engineering, marketing, and\/or data analytics. Through lessons, articles, projects, and quizzes, the courses seek to help individuals effectively write generative AI prompts that yield the best results in each field.<\/p>\n

Cost:<\/strong> Free (certificate with paid plan)<\/p>\n

Length:<\/strong> 1 hour<\/p>\n

Google Cloud: Introduction to Generative AI Learning Path<\/a><\/h3>\n

Google Cloud\u2019s free introductory training on generative AI seeks to guide users through the fundamentals of the technology\u2014from large language models to responsible AI principles. It also focuses on how individuals can use generative AI with Google tools. The course format includes videos, documents, and quizzes.<\/p>\n

Cost:<\/strong> Free<\/p>\n

Length:<\/strong> 5 hours<\/p>\n

IBM Skills Network: Prompt Engineering for Everyone<\/a><\/h3>\n

The prompt engineering course offered by IBM Skills Network aims to make users compelling AI communicators by teaching the best ways to craft prompts. The program has 5 modules and touches on various prompt engineering patterns and approaches.<\/p>\n

Cost:<\/strong> Free<\/p>\n

Length:<\/strong> 5 hours<\/p>\n

OpenAI\/DeepLearning.AI: ChatGPT Prompt Engineering for Developers<\/a><\/h3>\n

Andrew Ng, founder of DeepLearn.AI and Coursera co-founder, joins forces with OpenAI\u2019s Isa Fulford to teach the basics of using a large language model to build applications. The instructors explain the best ways to use prompt engineering as well as discuss how LLM APIs can be used for summarizing, inferring, transforming, and expanding. They also explain how to build a custom chatbot.<\/p>\n

Cost:<\/strong> Free<\/p>\n

Length:<\/strong> 1 hour<\/p>\n

Vanderbilt University: Prompt Engineering Specialization<\/a><\/h3>\n

Hosted through Coursera<\/a>, Vanderbilt\u2019s prompt engineering lessons are taught by computer science Professor Jules White. They walk students through how to best take advantage of ChatGPT and other generative AI tools\u2014touching on topics like prompt patterns, automation, and problem formulation. The specialization includes three courses: Prompt Engineering for ChatGPT; ChatGPT Advanced Data Analysis; Trustworthy Generative AI<\/p>\n

Cost:<\/strong> $49\/month<\/p>\n

Length:<\/strong> 1 month (10 hours\/week)<\/p>\n<\/div>\n

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