--- title: '18 CURSOS GRÁTIS do Claude em 30 Minutos!' source: 'https://youtube.com/watch?v=VbEIuchEskQ' video_id: 'VbEIuchEskQ' date: 2026-07-24 duration_sec: 1884 channel: 'Negócios em Mente' --- # 18 CURSOS GRÁTIS do Claude em 30 Minutos! > Source: [18 CURSOS GRÁTIS do Claude em 30 Minutos!](https://youtube.com/watch?v=VbEIuchEskQ) ## Summary Anthropic has launched a free learning platform with 18 courses covering AI fundamentals, programming, business applications, and more. This video provides a detailed overview of each course, its target audience, and prerequisites, helping viewers choose the right path. The speaker also offers a free downloadable resource with recommended learning sequences. ### Key Points - **Platform Launch** [00:02] — Anthropic launched 18 free courses, many with certificates, taught by the creators of Claude. - **Video Purpose** [00:33] — The video shows what each course teaches and who it is for, so viewers can directly access relevant content. - **Course Duration** [01:01] — Most courses are about one hour long; only three are longer (e.g., Building with Cloud API is 8 hours). - **Cloud One Course** [01:30] — Fundamentals course for AI beginners: covers cloud basics, resources like projects and artifacts, and practical use for productivity. - **Programming Courses Start** [02:38] — Cloud Code 101 teaches using Cloud Code as a programming agent, covering installation, advanced workflows, terminal, VS Code, etc. - **Cloud Code in Action** [04:42] — Advanced hands-on course: manipulate files, run commands, analyze projects, integrate with GitHub, and automate tasks. - **Cloud Coworking Course** [06:51] — For non-programmers: use Cloud to work with files, folders, and apps; delegate tasks, schedule repeats, integrate with Office tools. - **AI Fluency Framework** [09:00] — Teaches the 4D method: Delegate, Describe, Discern, Diligence. Prerequisite for other AI Fluency courses. - **AI Fluency for Educators** [10:10] — Shows teachers how to use AI for lessons, materials, and teaching students responsible use. - **AI Fluency for Students** [11:24] — Helps students use AI ethically for studying, projects, and career planning. - **Teaching AI Fluency** [12:19] — Course on how to teach AI fluency to others using the 4D Framework, for instructors and trainers. - **AI Fluency for Nonprofits** [13:17] — Applies 4D to fundraising, communication, operations, and social project delivery. - **AI Fluency for Small Business** [14:53] — Practical AI use for customer service, admin, operations, and decision-making in small teams. - **Building with Cloud API** [16:33] — 8-hour course on integrating Cloud into websites, apps, and systems via API; covers chatbots, external tools, and agents. - **Introduction to MCP** [18:04] — Model Context Protocol: standard connection between Cloud and external tools, data sources, and services. - **Advanced MCP Topics** [19:13] — Permissions, multiple systems, logging, error correction, and production deployment of MCP servers. - **Introduction to Agent Skills** [20:14] — Create reusable instructions for Cloud to standardize tasks; includes organizing, testing, and sharing skills. - **Introduction to Sub-agents** [21:55] — Specialized assistants within Cloud Code for handling specific parts of large projects. - **Cloud with Amazon Bedrock** [22:41] — 8-hour course: use Cloud models within AWS, create chatbots, automate tasks, apply RAG and MCP. - **Cloud with Google Cloud Vertex AI** [23:57] — Twin course for Google Cloud: similar content to Bedrock course, focused on Google's platform. - **AI Capabilities and Limitations** [25:12] — Explains AI strengths, failure points, why it invents information, and how to improve interactions. - **Four Essential Courses** [27:48] — Recommended starting point: Cloud One, AI Fluency Framework, Introduction to Agent Skills, AI Capabilities and Limitations. - **Language Options** [29:01] — Courses in English; text can be translated via browser, video subtitles can be set to Portuguese. ### Conclusion Anthropic's 18 free courses offer a comprehensive learning path from beginner to advanced AI usage. Start with the four essential courses to build a solid foundation in cloud tools and AI fluency. ## Transcript on the market, but what almost no one knows is that Antropic, the company behind Claude, has launched a complete learning platform with 18 free courses, many of them with certificates and taught by the company that created Claude. And it has everything, from beginner-level courses teaching the basics, to more advanced topics such as basics, to more advanced topics such as agents, automation, programming, APIs, and business applications. And in this video I'm going to show you in a straightforward way what each of these courses teaches and who it 's suitable for. This way you don't waste time and go straight to what's really important to you and your situation. And at the end, I'll even talk about courses that are important for anyone, even those who aren't in the tech field. My name is Tainara Schimit and welcome to the Business in Mind channel. Here you'll learn everything you need to know about artificial intelligence. Most courses are short, lasting about an hour. There are only three courses that are longer, but I'll mention them when the time comes. At the end of this video, I'll give you free material summarizing all the courses and a recommended learning path for each case, such as beginners, entrepreneurs, teachers, etc. And the free material will also include a link for you to access video I'll show you how to use this material. So let's go, let's start with part one, which is for those who are just starting out in the cloud. The first course is called Cloud One, and this is the course I recommend to anyone who has never truly used the Cloud. It's a fundamentals course. What is the Cloud? How do I talk to him? How to use the resources that make all the difference, such as projects, artifacts, skills , connectors, and research. It shows how to apply cloud computing at work to organize information, create content, conduct research, and, of course, increase productivity. It is suitable for those who are starting out in the cloud or want to quickly learn the main features of the tool. In short, it's the starting point for making better use of the cloud in your daily life. Go ahead and like this video, subscribe to the channel to stay updated, tell me in the comments if you already know Cloud, if you already use it, and if the " hype" button appears, I also ask that you click on it. Now we move on to part two, which is for those who program or want to learn. Once you understand the cloud, the question changes, because using the cloud to resolve a doubt is one thing. Now, using the cloud to write and run code is a completely different story. And that's where courses come in, specifically for those who program or want to learn. And I want to give you a warning right now. I'm going to mention some cases that involve programming experience, but throughout the video I 'll also show you other cases, other courses that don't require programming knowledge, that don't involve programming at all. I just separated some parts of the video here, but don't worry, there's content for everyone, including beginners. That's why it's important that you watch until the end. The first recommended video for this situation is Cloud Code 101. It teaches how to use Cloud Code as a programming agent in everyday work. So, to be clear, it's not the regular cloud that you access in the chat; it's the cloud code functionality that we currently access on the desktop, in the computer application. So, he teaches everything from installation to more advanced workflows, installation to more advanced workflows, using the terminal, VS Code, JetBrains, Web, and Cloud Desktop, which, as I mentioned, is where we use Cloud Code. Then you 'll learn how to plan tasks and write better prompts for AI programming. He also teaches how to manage context and create the cloud.m file for organized projects. And finally, how to use sub-agents, connect external tools with MCP, and automate actions with Hooks. Therefore, it is suitable for beginner developers who want to learn programming with the help of AI, as well as experienced programmers who are not yet using code agents in their workflow. Here we already have prerequisites for you to be able to better understand the course, which is having a basic familiarity with code editors and the command line. And you need to have a paid Cloud account, it can be Pro, Max, Enterprise or an API key. And the courses include both text-based and video lessons. Next up is Cloud Code in action. If Cloud Code 101 introduces you to functionality, Cloud Code in Action is the continuation, the course where you really get your hands dirty . It teaches you how to use Cloud Code in a more advanced way to manipulate files, run commands, analyze projects, and modify code directly from the terminal. Notice that this is the actual workflow. How to organize the project context, create custom commands to automate repetitive tasks, integrate with GitHub, and connect external tools. It's like training an intern to work your way, instead of explaining everything again every time. It is recommended for developers who already know the basics and want to use cloud code to truly accelerate their work, in this case, their programming work. Again, we have prerequisites, basic familiarity with command-line interfaces, and access to cloud code with an API key. Along with One, this is the most basic path for you to go from knowing Cloud Code to using Cloud Code in your daily life. It's already part of everyday life. If you're looking for A-grade tools to do more in less time, you need to know about Monday. In addition to having A-grade features, it helps you organize your work and your life. With Monday, you can truly complete your projects and achieve your goals quickly and easily. And best of all, there's an excellent free plan for you to test all the features. Click the link in the description and try it now, for free. Part three, which I've prepared for this video, is for those who work with files and applications, but without programming, because not everyone writes code and not everyone needs to know how to write code. And of course, Antropic thought of that too. There's a course designed specifically for those who spend their days working with documents, spreadsheets, and emails, and want the cloud to take over that task. And this course is about cloud coworking, or in other words, collaborative work with the cloud. Coworking, which is also a feature, is the cloud working directly with your files, folders, and applications, as if it were a work session guided by AI. The difference between a regular chat and a coworking space is that in a regular chat you converse, while in a coworking space you delegate a task and the other person executes it. And of course, you'll be following the entire process. Then you will learn the configuration part, how to set up permissions and execute complete tasks from start to finish, as well as the use of projects, skills and plugins integrated into your workflow. He will also teach you about scheduling tasks that automatically repeat and how to bring the cloud to tools like Chrome, Word, Excel, PowerPoint, and Outlook, all of which are integrated with the cloud. So, this one is recommended for professionals who deal with many documents and tasks in various stages, even without knowing how to program. This is the important part. The prerequisites here also include a paid Cloud plan and access to the Cloud desktop application. So you just need to download it to your computer, and no programming experience is required. And I repeated this several times to make it perfectly clear. I even made a video here on the channel exclusively about cloud coworking, teaching you how to use it from beginner to intermediate to advanced levels. I'll leave the link to it here in the description and in the pinned comment of this video so you can watch it when you're finished with this one. Now, part four is something I find very interesting, which is the way of thinking with "i". This course is often overlooked, but it's perhaps the most important of all. So far we've talked about tools, but there's a whole track of content that isn't about tools, it's about how to think when you work with AI. And the course that opens this path is the foundation for practically all the others, which is the AI ​​Fluency Framework and Foundation Framework and Foundation you the fundamentals to understand how Generative AI works internally and how to collaborate with it strategically, instead of just asking for things in the chat. He's going to introduce you to a simple four-step method they call 4D. The first is to delegate, knowing when to pass the task on to someone else and when you should do it yourself. The second is to describe, to explain clearly what you really want. The third step is to discern, to evaluate whether the answer was good before using that material or information. And lastly, the fourth point, diligence, the responsibility that remains yours, even when AI does most of the work. As I mentioned, this course here is a prerequisite for several others in the AI ​​Fluency track. So start with that one . It is suitable for anyone who wants to use AI more effectively, whether for work, studies, business, or content creation. In short, a course to help you learn to think more strategically and avoid randomly ordering things. And from that course, Antropic created other courses designed for each type of work. I 'll quickly go through each one, and you can use the one that works best for you. Starting with AI Fluence for educators. The first version is for teachers. So, AI Fluency for Educators shows how teachers and education professionals can use AI to improve lessons, materials, activities, and assessments, using AI as a partner to plan courses and teach students themselves how to use AI responsibly, because it's an illusion for you as an educator to think that your students won't use AI. They're going to use it, they're already using it, so the best way to deal with it is to teach them how to use it. Therefore, it is specifically recommended for teachers and coordinators, professionals who create or organize learning experiences. And look, the prerequisite is AI fluency, Framework and Foundations, which is the first one I mentioned in this all these courses I'm mentioning here are free. Then we have AI fluency for students. If the previous one is for the teacher, this one is for the learner. He will teach the student, who could be in high school, college, or studying independently—in short, any type of study. So, he will teach you how to use the Cloud intelligently, ethically, and in a safe way for your studies and career. So you will learn, for example, how to better understand the content, develop projects, and plan professionally, without becoming dependent on the tool to the point of no longer being able to think for yourself. It is recommended for students who want to use AI as a tool to learn better, think more clearly, and prepare for the job market. You already know the prerequisite, right? It's that first course I mentioned in this thread, which is the AI ​​Fluency Framework and Foundation. Next, we have teaching AI fluency, or teaching fluency in A. Notice the difference. This course isn't for you to learn how to use AI, but for you to learn how to teach AI to others in the classroom or in training. It's a completely different skill, because knowing something is one thing, and being able to pass that information on is another. So what does he teach? He uses the same 4D Framework and shows how to conduct classes and workshops that truly change people's behavior instead of just dumping information that disappears the following week. It is suitable for teachers, instructors, instructional designers, and educational leaders who want to teach fluency in A to students or teams. Prerequisites, again, include AI Fluency Framework and Foundation, as well as some prior experience in teaching, lesson creation, or developing educational materials. There's also the AI educational materials. There's also the AI Fluency for Nonprofits course, or fluency in AI for non-profit organizations. And this course exists separately for a reason. In an NGO, the question isn't just how to save time, it's how to save time without betraying the organization's mission. He applies the 4D Framework in areas such as fundraising , communication, operations, leadership, and delivery of social projects. So, of course, it's ideal for NGOs, social projects, and non- profit organizations that want to use AI to gain efficiency, but without losing purpose and accountability. Prerequisites: AI fluency framework and foundations, and access to some AI tool, such as Cloud, for example. But it could also be another chatbot, because that's the interesting thing; a lot of what's taught here by Antropic can be replicated in other tools. Now let me tell you something. If you want to get ahead and know the latest news from A before everyone else, then I recommend you join our free WhatsApp group. And rest assured, it does n't contain good morning messages or stickers; it's just news hand-picked by our team. To enter, simply displayed on the screen or pinned comment. There you can also find our free materials, such as courses, prompts, spreadsheets, and tools with exclusive bonuses and discounts . So, look, if I were you, I wouldn't miss out on this. Continuing with the fundamentals of AI, they have a specific course for small businesses, which is AI Fluency for Small Business, the latest in this series, okay? This is the last one on this trail. So, it's useful for small businesses that want to use AI in a practical way to increase their day- to-day productivity. It will also apply the 4D Framework to tasks such as customer service, administration, operations, management, improve customer service with AI, automate repetitive administrative tasks , optimize business processes and operations, and support management and leadership decisions with data? It is suitable for small business owners, smaller lean teams, managers, and professionals who want to use AI to save time and improve operations. Here, as a prerequisite, they also recommend completing the AI ​​Fluency Framework and Foundation and having access to need to have a place there to apply what's being taught. And look, here's an honest tip. If you don't fit into any of these groups—education, any of these groups—education, students, NGOs, or small businesses— you don't need to create these four versions; there's no reason to. Most of the content, and the most important parts, are in the first one, the AI ​​Fluency Framework and Foundations. So, just make the version you need. And look, folks, I've lost count of how many times I've repeated the name of this course in this video. So, the next time I talk about it, I'll say to you, "Look, you already know which course it is, and you really do know , right?" Now we're moving on to part five, which is for those who want to build with the cloud. And here we have more advanced courses, starting with Building with Cloud API beginning of this video that some of the courses are longer? So, this is one of them. In this case, the course lasts approximately 8 hours . This is the most in-depth course on the entire platform. He teaches how to integrate the cloud into websites, applications, systems, and automations. All of this, of course, using programming. Think of it this way: up until now we've used the Cloud as a front door, communicating with it, delegating some tasks. In this course, you'll learn how to access the Cloud through the back door, the API, which is how programs communicate with the Cloud. It shows how to create chatbots, how to connect the cloud with external tools, use the company's own data, and build more advanced and specific agents. So, this is the type of content that would normally be very expensive, but it's being made available for free by the company that created the Cloud. It is suitable for developers who want to create products, systems, or features using AI. And of course, using the Cloud API. Here, the requirements are a bit more demanding. Proficiency in Python programming, basic knowledge of JSON data manipulation, and access to an Antropic API key are recommended . The next course is Introduction to Model Context Protocol Introduction to Model Context Protocol application, the following question arises: How do you connect it to the rest of your world, to your files, your databases, your calendar? That's what MCP is for; it's a technology that connects the cloud with external tools, systems, and data sources. Think of the MCP as a standard power outlet. Instead of inventing a different plug for each tool, everyone uses the same socket. So, this course shows how to create these integrations so that Claudio can access documents, perform actions, and communicate with other services in an organized way. Ideal for developers who want to Ideal for developers who want to connect the cloud with external systems without creating complex integrations from scratch. Prerequisites: at least basic experience in Python programming, understanding of programming patterns, and familiarity with API concepts. In short, this is a course for those who want to make the Cloud work together with other tools and data. So, we had this first introductory course, and the following course covers advanced topics within the model context protocol. When you can create an MCP integration that works on your machine, you've reached another level. To make it truly functional so that many people can use it at the same time without it breaking. And that's Advanced Topics. Then you will learn how to configure appropriate permissions for production use, manage communication between multiple integrated systems, implement logs, notifications and error correction, and deploy MCP servers in production in a scalable way. Recommended for developers who already know the basics of MCP and want to create professional and scalable integrations. Again, we have prerequisites: a basic understanding of MCP servers and clients, and familiarity with asynchronous programming patterns. Now let's talk about the Introduction to Agent Skills. Guys, sorry about my English. The translation would be an introduction to agent skills. And I really like this one. He will teach you how to create skills, which are reusable instructions for the cloud to follow each time you request that task. The idea is brilliant. You teach the cloud only once, and it then always works according to that standard, without you needing to keep repeating the same instructions all the time. In addition to teaching you how to create, the course also shows you how to organize and test, which is a very important part of ensuring your work is polished and that you can share these skills with your team. It also shows how to connect it to sub-agents and plugins. This course is suitable for individuals or teams who use the cloud frequently and want to standardize tasks, processes, and ways of working. I recommend this one to anyone . Knowing that it's possible to create skills and how to create them is very important, because at some point in your daily life, you'll need them and they'll be useful. This is a course I recommend to everyone, because skills greatly improve productivity, and there 's definitely something you do in your daily life that you could develop into a skill. So, in summary, it's a course that teaches you how to create reusable cloud instructions , making the cloud more consistent and aligned with your way of working or your brand's tone of voice , for example. We also have the Introduction to Subagents, which is a topic closely related to the skills section I mentioned. Sub-agents are like separate assistants within the cloud code, each handling a specific part of an important or very large task. Imagine that instead of having just one person doing everything, you assemble a small team and each person delivers only the part that matters, without messing up the whole process. It is recommended for developers and advanced Cloud Code users who deal with long, multi-stage projects. In short, it's a course to learn how to divide tasks among specialized assistants while keeping everything organized. And now we're going to move on to part six, which is geared towards companies that use Amazon or Google in the cloud. The next two courses are very similar to each other, designed for the same situation: when your company has already decided to use the Cloud within one of the two largest cloud platforms. And I'm going to talk about both together, because the content is practically mirrored, only the setting changes. So, we have Cloud with Amazon Bedrock, or Cloud with Amazon Bedrock. This one is also one of the longer courses, it's approximately 8 hours. He teaches how to use Cloud models within the AWS framework, which is Amazon's cloud. It shows how to integrate the cloud into applications, create chatbots, connect company data, automate tasks, and use advanced features for AI-powered systems. So, what do you learn? Integrating cloud computing into WS applications, creating chatbots connected to company data, connected to company data, automating tasks with AI, and using RAC and MCP in advanced systems. Here, we also have prerequisites: proficiency in Python programming, basic knowledge of data manipulation, and an AWS account with access to Bedrock. This is a technical course for those who want to use the cloud in professional projects within the Amazon cloud. And that's where within the Amazon cloud. And that's where cloud with Google Cloud Vortex AI comes in, or Cloud with Google Cloud Vortex AI. And the course is approximately 8 hours long . And this one here, folks, is the twin brother of the previous one, but geared towards Google and not Amazon. He teaches how to use the Cloud within the Google cloud platform. Then, he will show how to integrate the Cloud with applications, choose the best model, create chatbots, connect your own data and use external tools, MCP, and the most advanced features. Therefore, it is suitable for developers who use or want to use Google Cloud to create AI applications using the cloud. Prerequisites: proficiency in Python programming, basic knowledge of Jason data manipulation, and a Google Cloud account with access to Vertex AI. In short, it's the same course, but geared towards Google. Then you'll do it according to the platform you use. Do what suits your cloud, what suits your company. Now we arrive at part seven, which can encompass many people, and that is understanding AI from the inside out; in other words, it's useful for everyone. Starting with a course on the capabilities and limitations of AI. Before I give you my final recommendation, which recommend for everyone—I'll tell you right now that there's this course here that's suitable for everyone, both technical people and those who aren't. He will explain what Ia is good at, where she usually fails, and, most importantly, why she sometimes makes mistakes even when she seems super confident. That moment when she makes up information with complete certainty. This has definitely happened to you before, right? It's happened to me too. So, those are some of the topics covered in the course, right? By understanding how AI generates responses, you will learn the mechanism behind each response generated by the model. This is very interesting. You will also discover the limits of the model's knowledge and how this affects the responses. You will understand how the context you provide influences the quality of the answers. And this is something I talk about in practically every video, how important it is to provide context, and the right context to go beyond that. You'll also learn how your instructions directly shape the result you get. The response you receive has everything to do with how you phrased the request, with your initial prompt. When you understand why things happen that way and why AI makes mistakes, you stop fighting with it and learn to fix the problem, right? You know where to go to fix it. Therefore, it is suitable for anyone who uses or wants to start using AI at work, in their studies, or in content creation. And here there are no prerequisites, no technical knowledge is needed, it's the most accessible course on the entire platform, along with Cloud platform, along with Cloud One. Well, folks, those were the 18 courses. I know it seems like a lot, a lot of information, and that's why, to make your life easier, I decided to add this topic of essential courses, and also divided it into parts, right? So, they were more focused on programming, also more focused on businesses, focused on AI fluency, and so on. Of those 18, I chose four that make sense to practically anyone, even those outside the tech field. And to make your life even easier, I've created a free, well-organized resource with recommended learning paths for each specific case. It's free and to download it, the link is in the description and in the pinned comment. So let I recommend to anyone is Cloud One, because it's the starting point. He's the one who shows how to use the cloud correctly in everyday life and stop treating the tool like a regular chatbot. The second one, as you already know, is the AI Fluency Framework and Foundation, because it teaches you how to think with AI. It's not just about writing prompts, it's about knowing what to ask for, how to ask for it, how to evaluate the result, and how to improve the result generated. The third is Introduction to Agent Skills, because skills are one of the most useful ways to increase your productivity. You teach the cloud once, and it repeats the pattern whenever needed, without you having to explain everything again, because nobody here has the patience to keep explaining the same things every time. And the fourth explaining the same things every time. And the fourth is AI capabilities and limitations, or AI capabilities and limitations, if you look at the title in English. And why? Because it helps you understand where Ia is strong, where she falters, and why she sometimes invents things with such confidence. This is essential for you to use AI more safely and with less frustration. In short, if you don't know where to start, do these four first. For now, folks, the courses are in English, but don't worry, there's a way. For the text-based lessons, you can translate them using Google Translate. So, for example, look, everything here is already in English, you see? You can right-click with your mouse and translate to Portuguese. He's already translated it here. So, for example, I'm going to click on this course right now. Translation is also enabled here. So, you can do that with text-based lessons. This isn't class yet, okay everyone? It's just the course curriculum. Many of the video lessons already have Portuguese dubbing. So, for example, look, this is the Cloud Code One course, I'll translate it again for you to see. See here? It's hosted on YouTube. If I go to the settings here, I can go to subtitles, automatic translation, and then I select Portuguese. Here, look, Portuguese. And you can see it with subtitles. For other courses, you can also change the language. Okay? So you're going to and you'll have the option to change the language as well. I'll give you another option. You copy the link to that YouTube video, paste it as a source into the LM notebook, and then ask it to translate the content for you and explain step-by-step everything that was taught. The website, guys, where the courses are, is this one right here . Either you type " Antropic courses" into Google, and then this one that appears here, you click on it, and that way you'll have access. And the material, how are you going to use it? First, read these short instructional texts here. And when you select your learning path, for example, to start from the starting point, which are these four courses, if you click on the course, it will take you directly to this take you directly to this Antropic course, see, Cloud One1, or here is Introduction to Agent Skills, see, it opened exactly this course. So this material here, which is free for you, is very good because of that: you just have to click on the name and you'll be directed straight to the website for that course. Well, and to wrap up this video, I want to tell you that I've already recorded a complete course about the Cloud here on the channel. To watch it, just click channel. To watch it, just click on the video that's appearing here.