SKILLS NEED TO LEARN FOR EARNING FROM AI

Today I will tell you 3 AI skills that if you learn, in the coming time you can earn many times more than a traditional job. According to PwC’s latest report, professionals with AI skills are already earning more than 56% compared to traditional roles and the bigger thing is that by 2027 in India there will be demand for more than 2.3 lakh AI professionals. If you want to secure your future then follow my techniques.

AI Skill to Earn Money Secure Income Is AI Programming

1: AI Programming

In 2025 traditional coding is dead and now the time of AI programming has come. What happens in this is that AI programmers train machines, and teach them how to learn data, how to make decisions and how to perform human intelligence tasks. The core of AI programming is to use programmings like Python and along with that through specialized frameworks like TensorFlow and PyTorch bring intelligence systems into reality.

Learning all this is very easy because Gateway, Pilot, ChatGPT, and CWA Code AI powered assistants have made the coding process much easier. Even if you are not a professional coder you can still do coding. Now see in today’s market AI programming is the most demanding skill.

According to ncry.com data, from April–June 2024 to April–June 2025 there has been 38% growth in AI/ML jobs. Even in 2025 a fresher AI engineer is earning 4 lakh – 12 lakhs. And senior AI engineer gets an annual package of 80 lakhs – 90 lakhs based on their skills, experience, and location.

Now I want to tell you the reality, only using ChatGPT, watching YouTube tutorials will never make you an industrial-ready AI expert because in real life agentic AI, or multi-agent systems, Model Context Protocol (MCP), or enterprise-level GenAI applications demand is increasing a lot.

Now all these concepts I told you are very advanced concepts. And the biggest problem is that the courses you see online 99% of those courses only teach theory, in them there is no practical implementation, real-world projects, or industrial mentorship.

Even according to Fortune Business the Generative AI market will reach $667.9 billion by 2030 and in this there is 24.4% annual growth rate. There was a time when software engineers’ demand was very high and software engineers were less so their salaries were very high and this is now happening with AI engineers. So if you do not take action now you will miss the golden opportunity and if you want to learn JNI in a guided and organized way you need to check out the advanced executive program in applied generative AI by IITM Pravartak on Simplilearn.

This course is such that you learn real life applications of generative AI and you also get a certificate and after 90 days when the program is completed you also get 2 days campus immersion at IIT Madras research park and here there will be 7 different industry projects which will help you in generative AI enabled applications.

Here you also get mastery of advanced tools like ChatGPT, Azure AI Studio, Copilot, DALL·E, even Hugging Face. Here you learn to build multi agent system which is currently the hottest trend in the market and here Microsoft certifications and Azure AI certifications are also included and the best thing is EMI options and zero interest financing options are also available.

Where in traditional coding entry barrier was very high meaning 3–4 years you had to learn programming and sit for hours writing code, there AI powered assistants have completely eliminated this barrier like Canva AI, this is a tool where you can literally make apps, games, websites without any knowledge of coding. You just have to choose the Canva AI option and there click on code forming and put your prompt of whatever you want and your product is ready in just a few minutes.

If you learn AI programming you can use it in almost every industry like in e-commerce you can build personalized recommendation engine, these are such systems for which companies pay 50 thousand – 2 lakh Rs. In fact with this skill you can also develop fraud detection models in financial sector or if you want you can develop autonomous systems, statbots, virtual assistants, content generation tools, their need is in every industry. Such tools also you will be able to build.

One thing I will tell you maybe you have never heard of Varun Mohan. He is an Indian origin developer who co-founded Windsurf. This is an AI native coding platform with the help of which developers can talk to their system and write code and also test it. And more than 1 million developers have used their program till now because of which its valuation went above 10000 in fact later Google acquired Windsurf for $2.4 billion. This is Varun Mohan’s real life example of how you can also use your skills to create billions worth innovations in real life.

AI Skills That Pay You Quickly Start Earning with AI Prompt Engineering

2: Prompt Engineering

In prompt engineering you will learn how to talk to AI and how to get your work done in maximum and effective way. And when market research was done on this all were shocked, in western countries freelance prompt engineers are earning $50,000 to $120,000 annually. As the demand of companies increases job opportunities will also increase. If you know how to give the right prompt then you can use it in nearly every industry like content creation, blogs, video scripts and social media or for writing high content or in markets for generating personal ads, slogans.

Even with prompt engineering you can generate studio level images and videos and this customer support where 70% queries are solved by AI and these chat boxes with which you chat when you face some problem like ChatGPT these are also made by prompt engineers. As you use AI tools automatically your prompts will improve.

Four-Step Structure to Enhance Prompt Effectiveness

1: Role Defining
When you want AI to do work your first task is to give it context. And that context comes by defining its role for example act as a lawyer, brand strategist, UI designer. Such prompts are like instruction manuals for AI’s processing engine. Technically speaking, whenever you define role then AI’s language model decodes the language through that lens. If you want AI to answer you like an expert then first you have to make it an expert and this is done through role defining.

2: Data Providing
If you buy any PC or smartphone you give input to the store person like I want 8GB or 16GB phone and I am a college student and I want budget friendly laptop, so this is a type of input data you give to the other person meaning you tell your preferences because of which he shows you the products you need.

Similarly to get the output you want from AI you have to give it correct input like past performance, reference text or any such specific thing so that AI can understand your problem in a better way. If you tell AI just write an email then it will give a very bad email but if you give it an example and say write an email like this then it will write a very good email.

3: Make The Demand
You must have faced this issue that you asked AI for text and it gave it in a very robotic tone and if you told it humanize then it removed some chunks of information and you also felt that every time AI makes different mistakes but in reality it is not AI’s fault but our prompt’s fault. Whatever you want from AI an email, a summary, a script, a plan etc. you have to tell it clearly.

Most people make this mistake that they only tell one topic and nothing else. But if you clearly tell anything like “compare 3 marketing strategy for SaaS product in bullet point with pros and cons” if you give such input you will definitely get relevant answer.

4: Request The Format
You can make AI generate anything like a script, table, document, bullet points, flow charts etc. but until you tell it the format it will use default style which is “plain unstructured text”. All these AI models are trained for formats also like JSON structures, HTML tables, and Excel formulas.

3: AI Agent Development

If you think that AI will take your job, literally AI agents will completely replace you. AI agent development means to build intelligent autonomous systems which can take decisions on their own without consistent help, can complete tasks, and can solve complex problems. AI agents can also be called our agents. AI agents work on their own, they can think and make intelligent plans just like humans. AI agent’s market size was around $5.1 billion in 2024. And growth rate 44.8%. According to Capgemini 82% organizations by 2026 will integrate AI agents.

So if you learn to develop AI agents then you will not do small jobs but you can generate high paying consulting or side income. In real life AI agents have many uses like business process automation, end-to-end management of supply chain and customer onboarding, in all these planning execution or validation, and it is used in customer experience too meaning understanding user problems and giving them real time solutions, and in data analysis and reporting also like AI agents can generate weekly reports, manage access permissions, or analyze large scale data without delay.

Even in software development they can be used like they can write code, test, and also debug. Even in healthcare industries AI radiologist, personalized AI copyrights, or in legal field document generators, many AI agents are creating impact. You can find many AI development tools like Devin, Crew AI, Operator by AI, GitHub Copilot, Vertex.ai, Relevance AI etc. If you know AI agent it can make you very rich. Between 2025–2030 AI agents adoption is going to increase very fast.