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Prompt engineering is an art and a process of designing and using prompts to guide AI fields. It is the process of refining the process of asking questions from AI models. The prompt engineering is like providing a roadmap for AI to generate specific results. The prompts for AI generally include writing an article, answering a question, creating an image, or helping solve a problem. These prompts are used to generate specific outputs and results. The basic rule is that good prompts create good results. Read this article for Prompt engineering, benefits, types, skills, future, and other details.
Based on previous year trends and expert analysis, the JEE Main cutoff for JEE Advanced 2026 is expected to be around 93–95 percentile for the general category. For reserved categories, the cutoff is expected to be 80–82 percentile for EWS, 79–82 percentile for OBC-NCL, 60–64 percentile for SC, and 47–51 percentile for ST. The official JEE Main cutoff for JEE Advanced will be announced after the session 2 results.
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Students who want to pursue a career in Prompt engineering should have a relevant bachelor’s degree or certification. Students with a bachelor’s degree in computer science, data science, engineering, artificial intelligence, and relevant fields. Or candidates who have a certification course in Prompt engineering can also apply for the jobs. Hands-on experience with AI models and continuous learning are upgraded skills needed for prompt engineering.
Prompt engineering provides many benefits to its users. Below is a detailed description of the benefits associated with Prompt engineering:
Improved Responses: Defined and structured prompts give better responses as compared to usual ones. A well-defined prompt results in accurate and relevant answers because of the powerful AI insights.. The prompts provide a clear understanding of the questions asked of the AI models.
Saves time: Prompt engineering results in faster operations. Clear prompts help AI models to understand the query faster and generate responses quickly. The prompts save time on corrections, manual adjustments, error correction, and other tasks.
Customer Preferences: The prompts help AI models guide their responses to the customer's needs and preferences. For instance, if candidates want something for a children's age group, the prompt will be used accordingly and generate answers in a simple and understandable tone. Or if a candidate wants a technical report, then the prompt should define the technicalities and complex language.
Reliable and Unbiased Answers: The prompts help control AI responses, reduce the chances of harmful, biased answers. The prompts also restrict AI from generating something unethical and ensure fairness in AI answers.
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The prompt engineering works by crafting instructions for AI models to get a desired output. The instructions given should be clear and well-defined. The prompt engineering works by refining the phrase, instructions, given questions, in a simple yet descriptive way. For example, first tell the AI what to do by setting clear instructions. You can choose any of the techniques, like chain-of-thought for giving detailed instructions and answers. Now you can get the desired result and modify it also according to your preference.
There are several prompt engineering courses that candidates can choose to pursue. Below are some of the prompt engineering courses available online:
Course Name | Provider | Duration |
AI/ML Course with Prompt Engineering | GUVI & IIT-Madras | 6+ months |
Prompt Engineering for LLMs | DeepLearning.AI | 3-5 hours |
Prompt Engineering for ChatGPT | Vanderbilt University | 18 hours |
Generative AI: Prompt Engineering Basics | IBM | 7 hours |
Prompt Engineering with Generative AI | Edureka | Varies |
Complete Prompt Engineering Bootcamp | Udemy | 19 hours |
Applied Prompt Engineering | HarvardX on edX | 8 weeks |
Prompt Engineering with Python | Udemy | 7 hours |
Google Cloud AI Prompt Engineering | Google Cloud | 3 hours |
Prompt engineering can be used in several fields with different uses. The prompts are used for many purposes, either formally or informally.
Healthcare: Prompt engineers use AI systems to summarise medical reports and data. It also speeds up the medical research process by providing powerful insights and recommendations. Useful prompts can also help doctors know about the treatment recommendations for the patients.
Software development: The prompts help developers to generate code snippets, accurate suggestions, and solutions to complex programs. The AI models also save time, increase speed in the whole process of coding, and reduce errors, leading to the development of higher-quality software.
Marketing: Marketers use prompts to generate creative content for posts, blogs, articles, and social media. The prompts also help marketers to create engaging and targeted messages based on target audience preferences. This increases brand research and saves time.
Legal Services: Prompt engineering is also used by lawyers and legal professionals. A good prompt usually helps to review contracts, find relevant laws, and draft legal documents. The prompts are also useful in summarising complex legal reports, saving time and accuracy.
Cybersecurity: The prompts use AI fields to develop and test their security systems. It also helps to create a better defence strategy. The AI also find weakness in the software systems.
Designing/ Social Media/ Video Creation: The prompt engineering is also used to create creative content for social media. The prompts are used to understand our preferences and generate their outputs accordingly.
There are a few types of how prompts can be used. Students can check some of the types of prompts below:
Types | Description |
Zero-Shot Prompting | It is also called direct prompting. These types of prompts include direct statements or questions asked of the AI models. These zero-shot prompts do not include any additional texts or examples. |
One-shot Prompting | These types of prompts usually include an example with the prompt when asked to the AI. This helps AI models to understand the question in a better way. So, by using one-shot prompts, the AI generate accurate results. |
Chain of Thought Prompting | These prompts ask AI models for step-by-step explanations for their questions. This chain of thought prompts is used when the user wants a detailed explanation for the question. |
Multiple-shot Prompting | It is very similar to one-shot prompting. These prompts include a few examples given with prompts for the better understanding of the question. |
Below are the examples for the different types of prompts. There are also snapshots attached to every example.
Zero-Shot Prompting: Can u recommend me some fictional books?

One-shot Prompting: Translate this French sentence into English: Bonjour-Hello, Now, for Au revoir

Chain of Thought Prompting: Provide a detailed step-by-step explanation for this equation, 12*5+10?

Multiple-shot Prompting: Convert the temperatures from Celsius to Fahrenheit: 0°C-32°F, 25°C-77°F, 100°C?

Students need certain skills to be a prompt engineer. Below are some of the skills mentioned:
Use of Large Language Models: Students should be familiar with large language models to be a prompt engineer. They should know how LLMs work, their capabilities, and their limitations.
Strong Communication Skills: Prompt engineers should have clear and effective communication skills. These communication skills are needed to give clear prompts so that AI can understand them.
Understanding Technical Concepts: Prompts Engineers should have an understanding of complex concepts and statements. Some AI models use complex sentences and concepts to generate results. These skills help clients and teams understand what AI perform.
Creativeness: Prompt engineers should have the skill to generate innovative prompts for different tasks and overcome their limitations. They should be creative enough to handle their task effectively.
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Candidates can either do a relevant bachelor’s degree from a recognised university. Or students can complete a certificate course in Prompt engineering. These certification courses are usually provided online. Students can also take paid prompt engineering courses.
The future of prompt engineering is changing and is very dynamic. The AI is becoming a major part of the technological world. In these changing dynamics, there will be growth in the prompt engineering field. Now, there are prompts for different queries and statements. In the upcoming time, there will be prompts to combine images, texts, and audio, making it more valuable. Prompts engineering to use ethical methods and unbiased opinions, making AI safe for everyone. Prompt engineering is now used in several fields like healthcare, software engineering, cybersecurity, marketing and others. But with the span of time, the prompt engineering field will expand. It ensures fairness and accuracy.
The prompt engineer's salary usually depends on experience, skills, and location. In India, the starting salary of prompt engineers ranges between INR 5-7LA. The average salary of the candidates is somewhere in between INR 12-18 LPA for mid-level experienced prompt engineers. Senior roles in Prompt engineering earn between INR 20-35 LPA. Top specialists in this role earn up to INR 50 LPA also.
Frequently Asked Questions (FAQs)
Prompt engineers create statements in a way to get accurate and reliable results from the AI models.
The three types of prompt engineering are zero-shot, one-shot, and chain of thought prompting.
A prompt in AI is usually text describing the work for an AI model.
The prompt engineer's salary in India ranges from INR 5-7LPA.
On Question asked by student community
There are many NITs that accepts JEE Main rank below 35,000 in different branches including Civil Engineering, Chemical Engineering, and many more. These NITs are -
Arnav Gautam & P.Mohith secured 300 out of 300 in JEE Mains session 1, as per the provisional answer key. The list of toppers to be released with JEE Main results
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