AI Guide for Beginners: How to Use AI Prompts & Master Artificial Intelligence in 4 Practical Days (21 Days To Make Money With AI)

This book was a delightful read for AI prompt engineering warriors. It wasn’t just a book but more like a manual, giving you knowledge, charged instruction and exercises through the workbook sections. Don’t expect to be a passive reader with this one. The book dives into the fundamentals, including getting your “mind” right, as learning/developing new skills involves a mindset. So, surprisingly, this book goes into that, which was something delightfully unique, helpful, and unexpected for a “how to” on the technical side. I think this book was engaging, interactive, as you do many of the exercises in your chosen AI model. I also thought it helpful that it introduces people to the concept of open versus closed source models (good and the bad) and embraces the idea that open source democratizes the technology, makes it safer due to more scrutiny and is less censored. As for prompt engineering, whoa. This too was fantastic, as it highlighted the notion that prompting needs to be a detailed but best given in steps, as it allows for less problems or oversight. And working with AI is a collaboration between human and machine. Your prompt engineering needs to a be a collaborative effort—keeping in mind that humans are the drivers to getting the best out of the AI. Bottom line? This was an unexpectedly intriguing and engaging read and workbook. Over the course of the 4-day challenge, I gained a lot of insight and real world, “done it” knowledge. This book was well written, researched and edited. Well done.

The book promises actionable results quickly. Its structure balances foundational knowledge, practical exercises, and real-world applications. It's the first in the 21 Days to Make Money with AI series, and it serves as both a primer on AI and a roadmap for integrating it into everyday activities. Each day introduces a new layer of understanding, from the basics of AI and machine learning to advanced prompt engineering. By the end of the book, readers not only grasp theoretical concepts but also gain hands-on experience through straightforward, practical exercises. The breakdown of these four days helps readers stay motivated, creating a sense of accomplishment with each chapter. The book's practicality is further underscored by its emphasis on monetization opportunities with AI. Whether it's automating routine tasks, creating engaging content, or improving customer interactions, the book outlines ways to use AI in various industries. Integrating these strategies with actionable steps makes it an invaluable resource for entrepreneurs, freelancers, and professionals. One of the book's standout features is its case studies and examples of how AI is applied in different fields. These examples bring theory and practice. showing readers the tangible benefits of leveraging AI in their work. AI Guide for Beginners succeeds in making AI both accessible and exciting, positioning his book as a valuable resource in a rapidly evolving field. I recommend it!

AI Guide for Beginners - the book examines the strengths and weaknesses of AI in general and suggests techniques and strategies for effectively engaging with an AI interface. AI tends to make mistakes due to generalized statements that potentially have multiple solutions. The author suggests that the best thing to do is feed the AI small bits of information at a time so as not to overwhelm the program then tweak it here and there. It presents some good ideas, but hard to evaluate without viewing the entire series.

"AI Guide for Beginners" by Tigran Voskanyan is a concise and practical introduction to Artificial Intelligence. This book distinguishes itself with its straightforward approach, providing readers with practical experience in AI through guided activities. Voskanyan's promise to take readers from novice to "AI Whisperer" in just four days is ambitious, but the book's structure as part of a 21-day challenge makes this goal seem more attainable. Focusing on practical applications, mainly geared towards generating passive income, adds a compelling real-world dimension to the learning process. What sets this guide apart is its emphasis on action rather than theory. Engaging deeply in AI-guided activities can quickly boost readers' confidence, which is essential for beginners who may feel overwhelmed by AI's complexities. Overall, "AI Guide for Beginners" appears to be a solid starting point for those looking to quickly grasp the practical applications of AI, especially with a focus on potential income generation. While it may not offer the depth of more academic texts, its action-oriented approach is what many beginners need to overcome the initial hurdles of engaging with AI technology.

I regret buying this book. The writing is incoherent and scattered, making an already complex subject even harder to grasp. Instead of helping beginners understand AI, it leaves you more confused and doubting your own comprehension. The structure is poor, the language is unnecessarily complicated, and the attempts at humor only distract from the content. We come to books like this hoping to demystify AI, but this one doubles down on confusion with rambling explanations and weak style choices. AI is challenging enough on its own—this book only made it worse. I truly wish I could get back the hours I wasted trying to make sense of it.

This book was fun to read. It is a deadly serious, seriously fun book. The author is doing people a huge favor by writing his series of books. This was #1. I've dabbled in AI and thought I knew something. I knew nothing - nothing at all. Now, I know a little of the jargon, the patois of AI. I know that it will take me quite a while to become literate in AI. This is what the author told me and I have no reason at all to doubt him. I plan to get his next book and the one after that. It's not the easiest book to read because he loves to use abbreviations in his writing. You get used to them after a while and thankfully he put a glossary in the back. If you are at all interested in learning AI, this book is a good place to start. You will learn how many AIs there are and how they are different from one another and that more are coming all the time. To make use of all his information, just clear off your desk, turn off your phone, and dig in. You'll probably want to have your meals delivered for the next few weeks because you won't want to take time to cook them. I highly recommend this book.

I’ve used ChatGPT before, but this book really helped me see AI in a whole new way. It’s not just about chatting with a bot—it’s about understanding how AI thinks, how it processes data, and how to actually use it to your advantage. I liked how it walked through the basics while also diving into the more practical side, like how to use AI safely and get the best responses. The way the author explains things makes AI feel less intimidating and more like a tool you can actually work with. What really stood out to me was the hands-on approach. The workbook and pre-made prompts make it super easy to practice and improve, rather than just reading about AI and moving on. I’m excited to try out some of the prompts and see how they can help me get better at using AI for real-world tasks. If you’re looking to not just understand AI but actually use it in a smart way, this book is a great place to start

Valuable guide to AI. The book physically is coming apart at the spine. Cheap.

I was very reluctant in start using AI in my life, but after using ChatGPT to solve a lot of questions I decided to go deeper and start learning about it and how it can help my life in very different areas. This book was great as I could learn even more about the topic and I will start using this new knowledge today!

I was expecting a book, but what I found was a full-fledged mini-course packed with practical exercises, downloadable bonuses, and real-world strategies. Each section reads like a hands-on workshop, blending mindset shifts with prompt engineering techniques, AI tool walkthroughs, and revenue-focused case studies. It's structured around a four-day bootcamp format, but the learning continues well beyond that thanks to the interactive components—quizzes, templates, and action checklists that make implementation much easier than passive reading. What sets this apart is the clear intention behind the experience: this isn't just about learning AI—it’s about using it to make money in concrete, repeatable ways. From setting up your own AI assistants to building productized services on Etsy, the guide is brimming with specific use-cases tailored for solopreneurs with limited time and budget. The extra resources—like the personalized AI income path quiz and bonus content—make it feel more like a guided program than a book, which helped me stay engaged and confident in actually applying what I learned.

O livro apresenta ideias para se fazer dinheiro usando AI.

This is an easy to digest insight into the different sorts of applications that the different sorts of AI options can be put to. It addresses ethical considerations, and the author is not afraid to express an opinion or ten. Which I think is a good thing. That said, this is more about taking action and experiential learning, which is my next port of call. Understanding that the fundamental principle of GIGO (garbage in=garbage out) of computing holds true for interrogating AI is essential. To that end, the run through of how to ask better questions as well as where you choose to ask them is front and centre. I am going to apply the learning and make it concrete. I may well return to update this- I have some applications to run through the processes. Onwards!

One of the best book I have come across