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Ultimate AI Masterclass For Beginners [Free Course] - Learn ChatGPT, Prompt Engineering, AI Tools
Publicado no IA Dots ·
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Vídeo em Inglês, publicado pelo canal Ayushman Pandita.
About this content: The summary, key points and topics below are generated automatically from the video transcript. They reflect the content, opinions, claims and predictions presented in the video and do not represent a position, validation or fact-check by IA Dots.
Video summary
This video presents a comprehensive one-hour AI masterclass for beginners, covering the history of artificial intelligence, popular buzzwords, core concepts like the genie mental model, prompt engineering frameworks, and a curated stack of top AI tools. It includes live demonstrations on building websites, apps, and video content using AI, and discusses strategies for monetizing AI skills through careers, side hustles, and solo businesses.
Key points
- AI technology dates back to the 1950s with early experiments like the Theseus robotic mouse, moving from simple if-else rules to modern large language models.
- Prompt engineering is compared to a genie, emphasizing that detailed, clear prompts structured with frameworks like AIM yield significantly better results.
- AI tools are categorized into levels such as standalone, integrated, and custom AI, covering diverse tasks from text generation to coding and video production.
- Live demonstrations illustrate how to use Google AI Studio to build real estate websites and games, generate time-travel influencer videos, and design presentations in Gamma.
- Monetizing AI skills can be achieved by increasing workplace productivity, starting side hustles such as selling AI websites or ads, and launching one-person AI businesses or SaaS applications.
Topics
Artificial IntelligenceChatGPTPrompt EngineeringAI ToolsMachine LearningAI Side HustlesGoogle AI Studio
Video transcript
Transcript from available captions; it may contain errors.
In the next 60 minutes, I will take you from a complete beginner to an AI power user. We are living in a revolution right now: the AI revolution. >> Intelligence, intelligence. >> And the people who are evolving in this revolution and learning AI skills are growing. And those who are still skeptical about AI and are running away from it, their careers are declining. And we are seeing this same K-shaped pattern in the global economy as well. Where some people are getting richer and some are getting poorer. And as you can guess, those who are adopting AI are the ones growing, while the others are declining. And if you are a complete beginner who has absolutely no idea about AI and how to use it to grow your career, then don't worry, you are at the right place. I have created this one-hour-long AI masterclass video for beginners like you who want to learn AI from scratch and use it to grow their careers. In this masterclass, we will talk about a brief history of AI and how you can start using it as a complete beginner. I will teach you how to use ChatGPT with a live demo. Then we will understand what prompt engineering is and how you can write effective prompts. Then I will tell you about the best AI tools that you can start using as a beginner. Then, with three live demos, I will teach you how to create high-quality videos, websites , and PowerPoint presentations using AI tools. And finally, I will tell you how you can monetize your AI skills to grow your career, start an AI side hustle, or start your own AI business. So, this is not going to be a boring theoretical lecture. I will teach you how to use AI with live demos. So I would suggest you quickly take a bathroom break. Get your pen and paper ready, or open up a notepad. Because the next 60 minutes might be the most important 60 minutes of your life, and I want your full focus and attention. Also guys, before we start the masterclass, I have a small surprise for you. I want you to comment and tell me where you are from. What do you do? And why do you want to learn AI? And I will invite 10 lucky subscribers among you to join me in a private Zoom meeting. I will mentor you personally and teach you some interesting AI hacks. Besides this, I have some more surprises for you which you will find out later in the video. But meanwhile, tell me about yourself in the comment section right now. For this masterclass, I have created a detailed presentation that we will use to learn AI. And I am adding the link to this presentation in the description as well. You can download it from there and look through it yourself. So, first of all, let's start with the history of AI. Many people think that AI actually started with ChatGPT. And some people even think that it actually started in the early 2000s when the internet boom happened. But all of them are wrong. You will be shocked to know that AI is actually a technology older than the internet. The internet, after all, arrived in the 1990s. But AI technology actually started developing as early as the 1950s. Since 1950, scientists and computer engineers started asking a very simple question. Can machines think? Can we build a computer that starts thinking like humans and possesses human-level intelligence? And we gave this technology the name Artificial Intelligence. And at that time, access to Artificial Intelligence was also very limited. You could only use AI if you worked in a very large computer lab or at a big tech company. And you had a PhD or you were a top-level engineer. And the first real example of AI was a robotic mouse created in 1951 called Theseus. And this mouse could basically solve a real maze by using Artificial Intelligence. Theseus would explore different routes in the maze. And whichever route turned out to be incorrect, where it hit a wall, it would simply save that information in its storage. And in the future, by using its memory, it would not repeat the same errors and would successfully find the magnetic cheese. And this was basically the first example of a real AI. And for the first few decades, AI technology was actually following if-else rules. Which means AI models simply checked if a condition was true. If that condition was true, they would give one answer, and if that condition was false, they would give another answer. So let's say I have made an AI model where you give it any number and it will tell you if the number is odd or even. And to build this, I will simply apply an if-else condition. I will say to divide the number by two. If its remainder is zero , then the answer is even. If its remainder is one, then the answer is odd. And for the first few decades, AI models operated only on these "if-else" rules. And from the 1950s to the early 2000s, AI development was also very slow. Because first of all, the computers we had were very slow and their processing power was low. Secondly, we had very little data available to actually train AI models. And thirdly, the cost of running AI was also very heavy. That's why only large organizations and big tech companies were actually able to do AI development . But in the early 2000s, three major shifts occurred that greatly accelerated AI development. First of all, the internet boom occurred, which started generating a lot of data that we could use to train AI models. Secondly, cloud computing made the cost of computing much cheaper. And thirdly, many new AI models started being developed as well. And you might not have realized it, but since 2010, AI technology was being used very extensively. And you were using AI on a daily basis too. For example, whenever you search for something on Google, you see many auto-complete options automatically. And that is actually an example of AI. Or when you see targeted ads on social media and you wonder how this app knows I'm actually interested in this. That is actually an example of AI. And even in your email, AI is used. When Gmail automatically detects an email as spam and puts it into a separate spam folder. That also uses AI technology in the backend. But until 2022, you never directly used AI. You usually use some software, application, or product that uses AI in the backend to improve your experience. But you never directly talked to any AI model. But this changed on November 30th, 2022 , when OpenAI released ChatGPT publicly for the first time, and now anyone can talk to an AI directly. And ChatGPT was the first AI model and AI chatbot that anyone could use. Could use for free. And you can ask ChatGPT any question. And ChatGPT will give you the answer. And ChatGPT was not like Google, where if you search for something, you get links to many articles where you have to go and find the answer yourself. ChatGPT actually gives you to-the-point and direct answers. And it is actually like talking to a real human, and the best part is that you don't even need any technical knowledge or coding skills to use it. You can talk to ChatGPT just like a layman. And ChatGPT gives you answers in layman's terms. And this was actually the "Google moment" for AI. Because if you think about it, the internet has been around since the 1990s. But after the launch of Google, millions of people were finally able to use the internet directly. Similarly, AI has been around since the 1950s. But only after the launch of ChatGPT were millions of people finally able to use AI directly. And now, I will also teach you how to use ChatGPT and other AI tools with a live demo. But before we jump to that, I want to explain the meaning of many AI buzzwords to you. Whenever you watch AI content and AI news. You must hear a lot of buzzwords. Like Machine Learning , Large Language Models, Multimodal AI, Generative AI, AGI. But what do all these words mean? You don't need to understand all these buzzwords deeply. But I will give you a beginner-level understanding of them all so that whenever you hear these words, you understand what is being discussed. So, first is AI or Artificial Intelligence, and this simply means a machine or computer is able to do tasks that require human-level intelligence. Second is ML or Machine Learning. And this is a type of AI in which an AI model learns by using past data. So, for example, when you see recommendations or suggested videos on YouTube, that is actually an example of machine learning, where YouTube's AI algorithm uses your past data to predict which videos you will like. Third is LLMs, which means Large Language Models, and these are basically AI models that are trained on a large amount of text data. And its best examples are ChatGPT, Claude, and Gemini. Fourth is Generative AI. And this means an AI that can generate new content. So, if there is an AI tool that is creating AI images or AI videos , then that is an example of Generative AI. Next is Multimodal AI. This means an AI that can interact with multiple modes of input. So for example, it can take text input, it can also take images, it can take video, and it can take music as well. So when ChatGPT was launched, it was not a multimodal AI because you could only provide text input to it. But now ChatGPT is multimodal because you can provide it with text as well as images. Next is prompt engineering, which is basically the skill of communicating with an AI tool and writing good prompts. Next is AGI, which stands for Artificial General Intelligence. And this means an AI model has now become so advanced that it is not just matching human intelligence but exceeding it. And just last month, ChatGPT Astra was launched. And Astra is such a powerful AI model that a lot of people are saying that Astra is the first real AGI. Meaning AI models have now become more powerful than human intelligence. Then we have AI hallucination, where an AI model actually starts hallucinating and creating fake information and random facts that have no backing at all. And finally, we have AI agents, which are basically AI-powered software that can execute a particular task end-to-end. Now I have a very interesting and tricky question. You have to tell me what ChatGPT is among these. Is ChatGPT a Large Language Model? Is ChatGPT a generative AI? Is ChatGPT a multimodal AI? Or is ChatGPT all of the above? Are they all three? Pause this video right here. Think for a moment about what ChatGPT is. And tell me your answer in the comments. Now before we start using ChatGPT and other AI tools, I want you to understand how AI actually works. When we use the word Artificial Intelligence. Or that a computer is able to think like humans. Then that does not actually mean that a computer is really thinking. That it has attained human-level intelligence. AI cannot actually think. AI cannot actually understand anything. It cannot perform any analysis, nor can it perform any reasoning. AI simply predicts what the next word should be after whatever a human has said, or what the next sentence should be. So AI is simply predicting what will come next. And whenever you give a prompt to AI or ask a question, AI simply converts your prompt into separate words. It then transforms those words into tokens and converts those tokens into numbers. And then finally, AI models analyze these numbers and, based on their past training data, predict which numbers should come next. Those numbers are then converted back into tokens. And those tokens basically become the answers that AI models give us. And if you think about it, the human brain also works in this same way . When you say something to me or ask me a question, I then predict what the answer to this question should be. My prediction might be 100%correct, or my prediction might only be 50%correct. But my answer is, in a way, just my prediction. So, for example, if I say to you "twinkle twinkle little," you will immediately say "star." Even though it could also be "twinkle twinkle little boy,""girl," or even " twinkle twinkle little moon." But using all the things you have read and heard to date, your brain predicts that the word "star" will come after "twinkle twinkle little." That is why you said " star." In the same way, if you go to ChatGPT and type "twinkle twinkle little," ChatGPT will actually predict what should come next based on all its training data and give you "star" as the answer. Similarly, if you go to ChatGPT and type "Bharat Mata ki," you will see that ChatGPT will immediately say "Jai" in the answer. Because according to ChatGPT's data, the word " Jai" should come after "Bharat Mata ki. " And that is why, when you are talking to an AI tool, clarity matters a lot. The better you ask your question or the better you write your prompt, the better the answer the AI will be able to give you. And the more vague and weak your prompt is, the worse and more generic the answer the AI will give you . And if you think about it, AI tools like ChatGPT are actually like a genie. Whatever you ask of the genie, the genie will give you that thing. In the same way, whatever you ask of ChatGPT, you will get that thing. But if your prompt lacks clarity, or if your wish lacks clarity, you can actually end up in trouble. And this concept is also called the Genie Mental Model. Which basically says that whatever you ask from a genie, the genie fulfills it in a literal sense. Whatever instructions you give, the genie will follow exactly those instructions. And the genie will not guess anything. It cannot read your mind. You will have to define exactly what you want. So let's say you want to be very rich and you ask the genie for a wish to give you unlimited money. But you don't specify the exact details. Then in this case, you could actually get into trouble, because the genie might give you unlimited money, but all this money could be stolen from a bank and you could get arrested by the police and put in jail. So you got the unlimited money, but at the same time, you also ended up in jail. Or it could be that the genie literally gathered all the money in the world and gave it to you, and now you have all the money, but there is no money left in the world . In this case, there will be an economic collapse in the whole world, the concept of money will become useless, and even after having all the money, it will be completely useless. And AI tools also work in the same way. The better you ask your wish in your prompt, the better you ask your question, and the better you specify the details, the better answers you will get. And here I have a fun challenge for you. Let's say you actually get a genie and you want to become the richest man on earth. But at the same time, you don't want to face any negative consequences. In this case , what exactly will you wish for from the genie to ensure that you become the richest man without facing any negative consequences? Think about it for a moment and tell me your wish in the comment section. And by the way guys, I keep posting such AI and business videos on this channel every week. So if you are liking this masterclass video and you want to learn AI with me or want to launch your own business. I would request you to hit the subscribe button right now. Finally, let's quickly cover the three types of AI tools that you actually use on a daily basis. But perhaps you don't even know it. And after that, I will teach you how to use ChatGPT with a live demo. Level one is standalone AI tools and these are the AI tools that you use directly. You interact with them directly. For example, ChatGPT, Google Gemini, VUE 3, or Midjourney. Level two is integrated AI, and these are AI capabilities that are already built into existing software and applications . So for example, if you are already using Gmail, WhatsApp, and Notion, and you are now using the AI features within them, then that is actually an example of integrated AI. And level three is custom AI. And these are such AI solutions and AI models that are trained for a specific task. And these are usually developed only for large government organizations or big companies. And now finally comes the interesting part where I will teach you how to use ChatGPT and other AI tools with live demos. I have seen that most AI beginners make a very big mistake by starting to use and learn multiple AI tools all at once. And I completely get that AI is a very, very fast-evolving space. Thousands of new AI tools are being released on a daily basis. New updates are coming to them. New features are being released. And you must also feel like wanting to quickly use whichever is the best AI tool in the market. But this is a big mistake because as a beginner, if you start using multiple AI tools at once, you will feel confused. You will feel overwhelmed, and you will eventually give up too soon. So I recommend to everyone that you should pick a single AI tool in the beginning. You should use a single AI tool well. You should master it. And once you fundamentally learn how to use AI tools. Then you should start using multiple AI tools. And the best AI tool to learn first is ChatGPT. Because first of all, you can use ChatGPT completely free of cost. ChatGPT definitely has paid plans too. But most of the features are available free of cost. And as a beginner, you will use those exact features. And secondly, you can perform many tasks using ChatGPT. You can do research work using ChatGPT. You can do content writing. You can create AI images. You can build AI websites, apps, create automations, create AI agents, and do many other things. So ChatGPT is basically like an all-rounder AI tool that you can use to understand AI capabilities, and you'll also learn how to fundamentally use AI tools, all of this completely free of cost. And now, I will teach you how to use ChatGPT with a live demo. So if you have never used ChatGPT, you can simply go to Google and search for ChatGPT. And chatgpt.com will open up right here. And you can simply click on Log in, Continue with Google, or any other option you want and just log in with your account. And once you log in, you will see this interface where on the left side you will find many options. New Chat, Images, Library, Scheduled. These are basically the different features of ChatGPT that we will explore at ease. But we will start with New Chat. I will simply click on New Chat. And here you can see it is saying "Ask anything." So here you can ask ChatGPT any question or give it any task. And ChatGPT will give you the answer. So let's say I am a software engineer at HSBC right now and now I want to switch my job. And I want to apply for a Senior Software Engineer role at Google. And I need ChatGPT's help to prepare for the interviews. So I can simply write "Help me prepare for an interview for a software engineering role," and after that, I will simply click on enter prompt. And literally in just one second, ChatGPT has given me a detailed answer. It has given me an interview prep roadmap that includes DSA, Core CS, and system design questions. If you are from an engineering background, you will understand, but if you are not from an engineering background. These are basically different topics and concepts that are usually asked in a software engineering interview. And below, it is also saying that we can make this an actual mock interview. "And you answer some questions for me and we will do a mock interview here." But if you look at this answer, this is a very generic answer. Definitely, whatever ChatGPT said is correct, but these are very generic points. And anyone who is preparing for a Senior Software Engineer role would already know all these things and would find it a very obvious answer. And he will be like, "I didn't really enjoy it.""I didn't get any special benefit from using ChatGPT. " But do you know what? This is not ChatGPT's fault at all. Because the prompt I gave to ChatGPT is very basic and generic. And if my prompt is very basic and generic, then ChatGPT's answer will also be very basic. So if I make this prompt a little more detailed and simply write: I am a software engineer at HSBC with 2 years of experience. I have applied for a senior software engineering role at Google; help me prepare for the technical interview rounds by asking me questions that Google interviewers ask, and fun fact, by the way, I started my career as a software engineer. I was working a software engineering job at HSBC for 2 years. After that, I went to BharatPe as a product manager, and then I quit my product manager job and started my social media agency and my first business, Growth Rocket. And if we come back to ChatGPT now, you can see that the answer ChatGPT has given me is much more detailed and much more customized to my situation. ChatGPT is saying that you already have two years of experience at HSBC. So I am going to keep your bar, or the level of questions, a bit high. And the questions on these topics will be at a high level. And ChatGPT is actually going to ask me Google-style questions based on common interview patterns and the skills Google evaluates. So this is not going to be a generic preparation anymore. This preparation is for a software engineer with two years of experience who specifically wants to apply to Google. And it has also mentioned that the interview practice we are going to do will actually be in Google's interview style. I will be asked a question first. Then I will be asked for the approach to the solution before actually being asked to write the code. And in the end, it will actually give me a Google-style assessment and targeted feedback. And there are four rounds in a Google interview. I have received the details and structure for that as well. And my mock interview has actually started here. And now I basically have to give the answer to this question. So as you can see, I modified my prompt just a little bit. Added a few extra details. And the answer is so much better and so much more optimized for my situation. And here I want to remind you once again that AI tools like ChatGPT are actually like a genie. Whatever wish you are asking for, or whatever questions you are asking, the more detailed and precise they are, the better results you will get. And this skill of writing a good prompt and clearly communicating with an AI tool. This is what we call prompt engineering . And I can tell you from my personal experience. Your productivity and the quality of the outputs that AI tools produce literally become 10 times better. If you just start writing good prompts. And one of the best ways for beginners to write a good prompt is by following the AIM framework. In the AIM framework, A stands for Actor. Where you have to tell the AI tool who it needs to act as. I stands for Input, where you have to share all the information, context, and details in your prompt. And M stands for Mission, where you have to define what your goal is. So, if I rewrite the Google interview prompt using the AIM framework. My prompt will be something like: "You are an experienced technical recruiter at Google." This is the actor . I have told ChatGPT who it needs to act like. Then in the input, I am saying: "I am a software engineer with two years of experience at HSBC applying for a senior software engineering role." This is all the information that I am sharing. And finally, I will define my mission: "I want you to help me prepare for the interviews with common interview questions." And I further added that I want you to tell me three categories of questions: easy, medium, and hard. And also give me a bulleted list of topics that I should study for the interview. And now, the answer ChatGPT gave me is even more detailed. First of all, it told me that in DSA and coding, I should prepare these topics at an easy level, and these topics at a medium level. Then moving on, it also listed many topics for the hard level. Then there are many questions on system design. There are also details on core CS topics I should study, and there are many topics I need to cover. It is also mentioned at the end what kind of behavioral questions Google asks, and I should have strong stories around all those situations. And it also told me that my answers should ideally follow this structure if I want to crack the Google interview. And now you must be thinking, "Hey, it gave me so many topics, how do I prioritize which topic is most important and which topic I can prepare for at the end?" Well, I have a list for that too. It is mentioned here which topics are top priority and which topics are least priority. So, as you can see, when I added a very basic prompt, I got a very generic answer. When I added a slightly more detailed prompt, the answer became much better, and when I followed the M framework, I got a very detailed and optimized answer. And this is the essence of prompt engineering. Literally, the higher quality and more detailed prompt you write, the better results you will get. Apart from the M framework, there is another framework called the RCF framework. Where, first of all, you define what ChatGPT's role is. Then C, meaning context, is where you share all the information and details. In Ask, you tell ChatGPT exactly what you want from it. And there is an extra step here, in a way, which is format. Where you also define the format in which your answer should be. For example, give me the answer in a table format or give me the answer in a bulleted list. Prompting is actually like a conversation where you can talk to ChatGPT like a human. If you didn't like an answer. You can ask it to improve it. You can ask it to make changes. And you can also share more information with ChatGPT. And ChatGPT will remember all those things. Then, prompting is also of two types. The first is one-shot prompting, where you simply ask ChatGPT your question and do not share any examples. And the second is many-shot prompting, where you also share some examples of the type of output that you want. So, let's say I want to write an Instagram reel script on the topic of best AI tools of 2026. So, in one-shot prompting, I will simply tell ChatGPT: "Write an Instagram reel script on the best AI tools for 2026." And as you can see, ChatGPT has simply given me a generic script as the answer. But on the other hand, in many-shot prompting, I can also attach some viral scripts with my prompt. So, for example, I will write: "Write an Instagram reel script on the best AI tools for 2026," and then I will add, "Here are some videos on this topic that went viral," and then I will attach my three viral video scripts here. What will happen because of this? ChatGPT will actually analyze why these scripts that went viral actually went viral. How were the hooks written in them? Which storytelling strategy was followed, and ChatGPT will write a viral script for me by following those same strategies. So, if you are having ChatGPT perform any task and you have some references on the type or quality of output that you want, I would recommend that you do mini-short prompting like this. Then, another way to prompt is chain-of-thought prompting . Where you don't ask ChatGPT to execute a large task all at once, but rather you divide that task into multiple sub-tasks and execute those sub-tasks one by one. So, let's say I want a YouTube script on a 10-minute long AI masterclass for beginners. I can simply give this prompt to ChatGPT. And ChatGPT will research on its own, figure out which topics should be included in this masterclass, and give me the entire 10-minute YouTube video script at once. And this is definitely very convenient. But for such a large task, this might actually be a bad approach. Because I would ideally want to brainstorm with ChatGPT first on which topics I need to cover. What examples can I show in the live demo? What features and utilities can I share here? Then I would want us to create a blueprint of how many total sections this video should have. What will be covered in each section and what will be the duration of each section. Then I would want to have each section scripted individually. Share my feedback and finalize the script one by one. And this is what we call chain-of-thought prompting. Where we don't give a very large task to ChatGPT all at once. But instead, we execute a chain of sub-tasks. I would recommend you identify the three to five tasks on a daily basis that you anyway do manually. For example, replying to emails, writing a LinkedIn post, optimizing your resume, or if you are going to travel somewhere, creating a trip itinerary, and now try to get those tasks done by ChatGPT. And if you do this for just one week, then first of all, you will become a master of ChatGPT. Number two, you will learn how to write good prompts. And number three , you will start getting a sense of which tasks AI can do well and which tasks actually require human intervention. But I have seen that 99% of beginners are never able to start a high-paying side hustle or a one-person AI business because they lack a roadmap and a step-by-step process. And to solve this very problem, I have created my AI side hustle course. In which I will teach you how you, as a complete beginner, can build a high-paying side hustle using AI websites, AI ads, and AI faceless channels. And this is not just a theoretical course. I will show you how to create premium websites, cinematic ads, and viral AI influencers and faceless channels with live demos. For example, look at this: in the first module, you will learn to create websites with 3D scroll animation effects that you can easily sell to real estate companies, doctors, gyms, and startups. Then, in the second module, you will learn to create AI ads and UGC ads that you can sell to product brands and startups. And in the third module, I will teach you how to create viral AI influencers and viral faceless channels from which you will earn YouTube ad revenue. And to learn all of this, you don't need any technical knowledge. I will teach you everything from scratch. And at the end , I will also share my five-step process to find Indian and international clients to whom you can sell your AI services. Now I know what you are thinking, that this will probably be a very expensive course where I will have to spend thousands or lakhs of rupees. But I genuinely want everyone to be able to enroll in this course and start their own AI side hustle. That is why I have kept the price of this course in just three digits. Meaning, less than ₹ 1000. And I have a surprise for you too. If you use the coupon code MASTER50, you will get a flat 50%discount on this course and a "no questions asked" refund option as well. So you can easily enroll in my course. Start your AI side hustle, and even after that, if you feel that this course is not valuable for you, you can also take a refund. But this offer will be valid for only a few days. So if you genuinely want to start an AI side hustle this year, I would highly recommend you to enroll in my course right now. I have added the link to this course in the description. You can simply click on it to check out all the details. Moving on, now I will share with you a list of the best AI tools that you can use for different tasks. 99%of AI tools fall into five major categories. The first category is text and chat. These are the types of AI tools where you can have a conversation to ask questions, brainstorm, conduct research, or even write content. The second category is coding. These are AI tools that you can use to perform any development or coding-related tasks. For example, building websites or developing apps. Then the third category is image generation, and as the name suggests, you use these AI tools to create images. The fourth category is video generation, and you use these AI tools to create videos. And the fifth category is voice and audio. These AI tools help you with audio generation, sound design, or music creation. It's not the case that an AI tool can only fit into one category. If anything, most AI tools actually overlap multiple categories. So, you will find many AI tools that help you with text while also creating images for you. You will find many AI tools that can create images, videos, and audio as well. Now, I will share my AI tools stack with you, which lists the best AI tools for various tasks. So , the first is text and chat, and these are the AI tools you can use for chatting, brainstorming, or content writing. The best examples of these are ChatGPT, Gemini, and Claude. If you are a complete beginner, I would recommend starting with ChatGPT or perhaps even Gemini. Once you have gained some experience using AI tools, then you can switch to Claude. Next is research and summaries, and these are the AI tools that will help you with deep research, academic learning, or summarizing large amounts of information. The best example for this is NotebookLM, and you can also use Perplexity along with NotebookLM. Next is image generation, and these are the AI tools you can use to make AI images, create graphic designs, make posters, or edit your images by simply describing what you want in a prompt. The best examples of this are Midjourney, Leonardo.ai, and ChatGPT images. So another good thing about starting with ChatGPT is that you will easily learn AI image creation within ChatGPT itself. Next, and my favorite part, is video generation. And these are the AI tools that you can use to create AI videos. These can be AI influencers, AI avatars, cinematic videos, or AI ads. You can create so many things. And the best AI tools for this are Vio3, See 2.5, Top View, and HeyGen. Fifth is voice and audio, and the best example for this is 11Labs, where you can actually clone your own voice too. And they have hundreds of voices. You can use them to create any voiceover or narration. And if you actually want to create music, then you can use Suno AI for that. Next is SEO. If you want to make your website SEO or AI-SEO optimized, and you want your business website to rank on Google or be mentioned in the answers of ChatGPT and other AI chatbots, then you can use Semrush and Hostinger. Then we have coding and development, and these are the AI tools you can use to build AI websites, apps, and SaaS. And honestly, there are a lot of great AI tools available for this. But if you are a complete beginner, I would recommend starting with Lovable. You can start with Emergent. Emergent is actually an Indian AI startup. And if you want to do all this work completely free of cost, then you can use Google AI Studio as well. And I will tell you something very interesting. In a few minutes, I will show you how to create a great website and an app using Google AI Studio. And we will build both of those things for free. Then we have automations and AI agents. And I think the best tools for this are n8n and Make. com is also good. And recently, Meta also launched Meta AI. Which is basically like an AI agent software. So you can use that as well. Then, to create PowerPoint presentations and visual documents, you can actually use Gamma and also KB AI. And I will tell you something very interesting. This entire presentation you are watching is something I actually created using Gamma. And now I will teach you with a live demo how you can create such presentations using Gamma. Now, there are thousands of AI tools in the market . In fact, in my selected and curated AI tool stack, there are easily 20-30 AI tools. Then how do you decide which ones you should use? The answer is very simple. You simply have to identify which tasks you do repeatedly in your daily work, life, and studies, and then you have to see if there is an AI tool available for that task. So, for example, if you are a content creator like me, you can use Claude to write your scripts, ChatGPT Images to create thumbnails, HeyGen to make your AI avatar, and ElevenLabs for voice cloning. Or if you are a student, you can use NotebookLM to study and create notes, ChatGPT to do assignments, and Gamma to create PowerPoint presentations. So simply figure out what the things are that I do on a daily basis anyway, and which AI tool is available for those things. And moving on, now comes my favorite part because now I will teach you how to create AI websites, AI games, AI videos , and AI presentations using AI tools with live demos. So in the first live demo, I will use Google AI Studio to build a premium website for a real estate company and create a mobile game . And now as you can see, the interface is just like ChatGPT where I have many options on the left side. And here in the main area, I just have to describe in the prompt what kind of app or website I want to build, and Google AI Studio will build it. And now I will actually show you how easy it has become to build a premium website using AI tools. I will simply enter a two to three-line prompt here. Where I have written that I want to build a website for a real estate company called Skyline Homes that sells apartments and villas in Bengaluru. And I have simply said that I want a search bar in the hero section. I want a feature for property listings with photos here. I want an About section. I need a client testimonial and a contact form. And I have also written that my website should be mobile-friendly, clean, and have a luxurious design. So, as you can see, it's a very simple prompt. I haven't written anything related to coding. I haven't even written any technical words here. I have very simply described how my website should be. And now I will simply click on build over here. And now Google AI Studio will analyze my prompt. It will create a complete plan for my website. It will write its code. And in 5 minutes, my website will be ready. And in around 5 minutes, Google AI Studio has built my website. And I will actually make it full screen. And as you can see, it has built a very excellent and high-quality website. There is a very nice hero section over here where a background image is also added. The title is also written very well. And just as I described. I wanted a search bar option in the hero section , and that is also working very nicely. And interestingly, if I come down over here, there is also a financial planning tool found here. And mind you, I didn't even mention this financial planning tool in my prompt. But Google AI Studio thought on its own that adding a home loan and investment estimator tool to this website would be a great option. And you can see that this tool is actually working too. So if I increase the loan amount, increase the interest rate, and decrease the tenure, the monthly estimated EMI changes. So this is actually a very nice add-on. And the look and feel of this website is also quite luxurious. And as you can see, client testimonials are also added here as I requested in the prompt. Overall, a very nice website. And now, if I want to make any changes to this website, I can simply mention it here by prompting, like changing this text, adding this section , or removing this thing. And if I want to upload my own images, I can simply upload that image here. And Google AI Studio will add that image to my website. And if I want, I can share the link to this website with anyone. I will simply come to share. I will set the general access to public here. So anyone with the link can actually view it. I will copy this link. And then I can share this link with anyone. And they can actually view my website on their phone or laptop. And if you also want to host your website, or buy www.skyline.com, you can simply click on publish. And within Google AI Studio , you can purchase your domain name and host your website as well. Similarly, let's say I want to create a mobile game. So, I will show you how to recreate the Flappy Bird game using Google AI Studio. For those who don't know, the Flappy Bird game came out about 10-15 years ago. It was a very simple game but a very addictive one. And it became a worldwide phenomenon. I think billions of people downloaded this game. And that was a huge number back then. And I will show you how to build the same game using Google AI Studio. Once again, I have added a very simple prompt here that describes my game. And after adding this prompt, I will simply click on build. And I think in two to three minutes, my game should be ready. Alright. So, in about 2 minutes, Google AI Studio has created my Flappy Bird game. And I can actually play and test this game right inside Google AI Studio. So, let's play it once. And as you can see, the game is working super well. Oh, I got out in the very first round. But I'll play it once again. I don't want to perform so poorly in my own masterclass. Let's try to reach at least five. Oh, I got out again. No, now it's a matter of my ego. I will reach five. How can I get out in my own game? It's at four now. And finally, we made it to five. But never mind, as you can see, with one simple prompt of mine, the entire Flappy Bird game has been built. But now, let's do one more thing. Let's say I want to make this game for an Indian audience and indigenize it. So, I can actually mention in the chat here that I want to make this game for an Indian audience. Make this game feel more Indian, brainstorm ideas to do this, and implement the changes. Let's see what happens when I actually give this change. And in about 5 minutes, Google AI Studio has created a new version. And this time, the game has been named 'Udta Panchi'. And the actual details and instructions coming through are also written in Hindi. They are appearing in both Hindi and English. So , it has actually been Indianized very well. But let's actually play this now. And as you can see, it has been well Indianized. Its colors and aesthetics look completely Indian. And most importantly, our Flappy Bird is a peacock. Which is the national bird of India. And the best part is that I didn't even mention any of these changes. Google AI Studio brainstormed them all by itself. And added all these features too. That is how powerful AI tools actually are. Moving on. Now I will show you how to create a viral AI influencer video with a live demo. So there is this AI influencer called Chloe vs. History, who is actually a time-traveling influencer who travels through time to different historic events and creates videos there like a travel blogger. And Chloe vs. History has 400,000 subscribers on YouTube. More than 600,000 followers on Instagram. And literally every video is getting millions of views. And I am pretty sure its creator must be earning $ 10,000 to $ 20,000 per month in YouTube ad revenue. And I will also show you how to create a similar type of Indian AI time-travel influencer. So for this, first of all, I come to ChatGPT and we will use ChatGPT to create a great script and video generation prompt. So here I have added a simple prompt where I have mentioned that I want to create an Indian AI time-travel influencer. And I want to create a video where my influencer will go back to the time when the Pyramids of Giza were being built and make a video there like a travel blogger. And I have mentioned that I want to make a 30-second video. So write me a detailed prompt that includes all the visuals and all the dialogues as well. And literally in just 2 seconds, ChatGPT gave me a detailed prompt. And I will simply copy this detailed prompt and paste it into any AI video generation tool. So here I have opened TopView. But you can use Veed. You can use OpenArt. You can use HeyGen. Whatever you want, you can use it. I will simply paste this prompt here and click enter. And now let's wait for around 5 minutes for our video to be created. Alright, so I waited for around 7 minutes and finally my AI video is ready. So let's watch it now. >> Okay, so I am in Giza and it's 2500 BC. They are still building it right now. Look at this. >> These guys are not slaves. The story is wrong. They are paid workers. They get bread, they get beer, look at the actual stone. It is white polished white limestone, this thing is blinding , we have only ever seen it after the casing, this is what it actually looked like. >> The video quality is quite high. It looks quite realistic. So as you can see, a very high-quality and realistic video has been made. And mind you, I made this whole video with basically a single prompt. I didn't even make any changes to that prompt. If you want, you can make changes to the prompt. You can add dialogues. You can change visuals and make the video even better. But even for the first draft, this is simply amazing. And now finally, let me show you how to create AI-generated presentations. And for this, I will use Gamma. For this, simply go to Google and search for Gamma or you can directly open Gamma.app. And let's say I want to create a 10-slide presentation on Super El Niño. So I will simply add a prompt here where I will write that I want to make a presentation on Super El Niño. And I also want to talk about its impact on the Indian monsoon and economy. And I want to create this presentation for a general audience. And I want it to include visuals and charts as well. Then over here, I will click on presentation so that my PowerPoint presentation is created. Otherwise, besides presentations, you can actually create documents, carousels, and images here too. And here I have many templates as well. If you want the look and feel of any of these presentations, you can select it. But let's say for now, I am not selecting any template. Let's see how our presentation turns out. And before making the presentation , Gamma has actually presented me with a full plan of what the title and text will be on each slide. And if I want, I can make some changes to it as well. Or I can also describe in the prompt here what kind of changes I want. And Gamma will first make all those changes in our plan. But for now, I will simply click on generate to see how my presentation turns out. And in around 5 minutes, my presentation is ready. And as you can see, it has created a very good presentation. Once again, all this data was researched by Gamma itself. It found all the data on its own. It added these graphs. It added these AI images. And it created the design for all these slides. And if I want to make any changes, I can simply describe it by prompting. For example, I can simply say make slide five more visual and less text. And I can simply hit enter. Even though my grammar is bad. But Gamma will understand what I mean and make the changes in this PPT. And as I told you guys, the entire presentation you are seeing in this masterclass was also created by me using Gamma. And I will give you a comparison. If I had made this presentation manually in Canva or PowerPoint, it would have easily taken me three to five days. But now with the help of Gamma, I was able to create this presentation in just three to four hours. And that is the true utility of AI tools. That by using AI, you are creating higher quality output and also creating it in a much faster time period. So your productivity is also increasing and you are able to produce better work as well . So now that you know how you can use AI tools to execute different tasks. Let's talk about how you will actually monetize your AI skills to grow your career, start a side hustle, or actually launch your own business. So first of all, if you are working a job and you want to use AI to accelerate your career. Just remember this thing that AI will not take your job, but someone who uses AI better than you will take your job. As you have seen, how much you can increase your productivity by using AI. You can do better quality work. You can do more work in less time. And now you can also do tasks that were perhaps not possible for you before because you didn't have those skills. Which simply means that now a company will need fewer people to produce the same quality and same amount of work. And that means if 100 people used to work in a company department before, now maybe only 30 or 40 people can do the same work. And these 30-40 people will also be those who are able to produce higher quality and more work by using AI. So, in the AI era, if you want to retain your job and climb the career ladder quickly, then number one, you have to increase your productivity. Number two, you will have to deliver work much faster now. And number three, you will have to take on more responsibilities. And trust me, all of this is very, very easy if you know how to use AI tools in the right way. Apart from this, I want to tell you one more thing that many people miss. And that is, AI has actually created a lot of new jobs as well. And these are jobs that didn't even exist before AI. For example, AI video producers. A lot of companies are hiring people who can use AI tools to produce an entire video. So, the work for which a full marketing team was needed or the company had to hire a social media agency, that work can now be done by a single person. And this is a new role that has been created. Another example is an AI automation specialist. This is the person who will identify in the company. Which tasks can be automated and executed faster using AI agents and automations. And thirdly, AI product managers; these are the product managers who will plan and execute AI features in a company's product. And apart from doing a job, AI tools have made the whole process of starting a high-paying side hustle for a beginner much easier and faster. Literally, the work for which it was important to have technical skills and years of experience earlier. You can now do that work in a few minutes using AI tools. And I genuinely think that everyone should start an AI side hustle . Because first of all, this will help you in building a side income. And if you want to start a business in the future, your side hustle can actually transform into a business too. And here I have made a list of the five best AI side hustles that you can start. So, the first is selling AI websites. You can simply use AI tools like Google AI Studio to create high-quality websites and easily sell them to businesses. Second is selling AI ads. You can use AI tools to create a lot of great UGC ads. You can create product ads and cinematic ads. And you can then sell these ads to D2C brands, product brands , and startups. Third is running your own AI faceless channels and creating your own AI influencers, through which you can earn YouTube ad revenue or earn money through brand collaborations. Fourth is creating custom AI agents and automations for businesses. You can work directly with businesses. Identify which manual tasks in their entire workflow can be easily handled by AI. And for that, you can build and sell them an automation. And fifth is selling digital products. You can list many AI-generated digital products on platforms like Gumroad. And you can easily start selling them there. And thirdly, you can use AI tools to start a one-person AI business. And I think one of the best one-person AI businesses you can start is creating your own AI SaaS or AI app, or you can also start your own AI content agency. AI apps are basically mobile applications that you can build by using AI tools. And before AI, building an app was actually a very time-consuming process. That’s why very few people could do this work. But now, thanks to AI tools, you can literally build an app in a few days just by prompting. You can launch it publicly and start generating revenue from it. And I think the best example of this is Cal AI, which is a calorie-tracking AI app that was built by a 19-year-old teenager. This app generated millions of dollars in revenue in its very first year. This year, it is on track to hit $ 30 million in revenue, and in March of this year, Cal AI was acquired by MyFitnessPal for a rumored amount of $ 100 million. And once again, this app was built by a 19-year-old teenager using AI tools. Another example is SideGPT, which is basically an AI SaaS that helps businesses add an AI chatbot to their websites. And SideGPT has generated $ 500,000 in revenue in its lifetime. Which means more than 50 million rupees. So if these guys can do it, trust me, you can do it too. You just have to spend a little time learning AI tools. And then you simply have to work on a good business idea and execute that business using AI. That's it. And with that guys, we are finally at the end of this one-hour-long AI masterclass. Remember guys, our AI journey has actually just started from here. And this is the first masterclass of the Future School series. And for the next 12 weeks, every Friday, I will keep posting similar AI masterclass videos. And my goal is simple. Before 2027 starts, I want to make you an AI champion. So once again, I would recommend you to join the Future School community using the link in the description and also follow the Future School Instagram page . And guys, if you genuinely want to start an AI side hustle this year, I would recommend you enroll in my AI side hustle course as well, and if you use the coupon code MASTER50, you will also get a flat 50%discount. And once again, definitely let me know in the comments where you are from. What you do, and what you want to use AI for. And as I promised, I will invite 10 of you subscribers to a private Zoom call with me and personally mentor you in this AI journey. I will see you guys next Friday in the next masterclass of Future School. Till then, keep hustling , keep learning AI, and keep making money.
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Assuntos: Agentes de IA, Assistente pessoal. Publicado no YouTube em 2026-10-17.
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