Exploring Artificial Intelligence Career Paths: Opportunities in 2025
How Long Does It Take To Learn AI? - Time Out
Artificial intelligence is being used in almost every industry to improve productivity and decision-making and to create new opportunities. As a result, AI skills are becoming increasingly needed and expected, no matter who you are or what you do. Employment for computer & information research scientists—many with AI duties—is projected to grow 26% from 2023‑33, per the Bureau of Labor Statistics. In addition, these are relatively high-paying jobs, earning an average of $140,000 annually for AI specialists.
If you're thinking about learning AI, you'll probably want to know how long it's going to take. A realistic expectation can help you understand what to expect from the learning process and also make it easier to budget your time and money so that you'll be able to complete your training successfully.
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How long will it take to learn AI skills?Learning AI can take anywhere from a few months to a number of years. The learning process will depend in part on where you start from. It's important to have a strong foundation in math, programming, and data. Many beginner classes will help you learn these skills; however, if you already have a background in any of them, you're likely to learn much more quickly. The length of time it takes to learn AI also depends on where you want to go with your skills. You can learn some basics, like how to use a particular generative AI tool, fairly quickly. However, advanced skills take more than a few months to develop. For instance, if you want a professional career in a technical role like an AI Engineer or Research Scientist, the learning process might take years. If you're trying to earn a specific AI certification, the learning process can also take longer.
Skills you'll learn in an AI classWhen you learn AI, you'll cover a long list of skills. This is a very technical field, and you'll need to learn many technical skills, like math and programming so that you can work with this technology. However, to be successful in AI, you'll also need soft skills like problem-solving and adaptability, which will help you successfully utilize your technical skills.
Technical skills:One of the best ways to speed up the AI learning process is to enroll in an AI class. One benefit to a class is that you won't have to waste time trying to figure out what you need to learn and how to learn it. Instead, you'll be guided through the process by an expert and will follow a comprehensive curriculum that covers all the important knowledge and skills in this field. This can save you a lot of time. A class will also allow you to ask questions and get feedback, which can help you progress much more quickly and avoid wasting time on incorrect techniques.
With a class, you'll learn with a group of peers, which can also help you learn more quickly. When you learn with a group, you'll often participate in discussions and group activities, which can enhance your understanding and improve your retention. You'll also get the benefit of being exposed to diverse viewpoints. Finally, many people find the group learning environment more engaging.
A class can also be helpful when it comes to finding a job. Many classes come with a certificate or other type of evidence of completion of the class, which you can put on your resume. Some professional training centers like Noble Desktop or General Assembly also offer career assistance, such as help building your portfolio and advice about interviewing or improving your resume.
Practice is also essential to learning AI and can help you learn more quickly. When you practice, you learn how to apply your knowledge to the real world, which enhances your understanding of new concepts. Practice also helps you retain your skills and perform them more quickly and easily in the future since they will become more automatic over time. Finally, it reveals your weaknesses, allowing you to improve in those areas.
Beyond the basicsThe learning process doesn't end with the introductory lessons and the basic parts of your training. There are other factors to consider and more complex and detailed topics to address as you move through your AI training.
Don't forget about ethicsWhile it's easy to focus on technical skills when you're learning AI, ethics are also important. AI technology has significant potential consequences for society, and students should spend some time educating themselves about the responsible use of this technology. In an IBM article titled "What Is AI Ethics?" the author explains the importance of thinking about ethics if you want to work in AI. They stress, "Artificial intelligence performs according to how it is designed, developed, trained, tuned, and used." That means that the ethical use of this technology depends in part on AI professionals working according to ethical standards.
Keeping a balanceWhen you're learning AI, you'll probably want to learn as quickly as you can. But, as a LinkedIn article titled "You're considering a career in AI. How can you make sure you're ready for the challenges ahead?" explains, focusing on learning above all else can be problematic. The author says, "AI is a demanding and rewarding field that can consume a lot of your time and energy. You need to balance your work and life to avoid burnout, stress, and isolation." They advise making sure you also have other interests outside of learning about AI, such as hobbies and friends and family.
The AI learning process is never overIn the field of AI, as with many tech fields, it's important for students to realize that the learning process will never be over. Both technology and data patterns are evolving rapidly, meaning that to be competitive in AI, you'll need to be a lifelong learner. The LinkedIn article stresses, "AI is a fast-moving and evolving field that requires constant learning and adaptation." The authors offer some tips on how to keep yourself informed on updates in the field of AI, explaining that there are many options. They state, "You can do this by reading blogs, newsletters, podcasts, or journals that cover AI topics. You can also attend webinars, workshops, conferences, or meetups that showcase AI innovations and best practices. By staying updated, you can keep up with the pace of change and find new opportunities and challenges in AI."
One Expert Warns That Encouraging A Child To Learn Programming "is Literally Worse Advice Now Than 'get A Face Tattoo'"
The world of information technology is one of the most popular job opportunities today and, within it, programming is very much in demand. For this reason, many parents encourage their children to learn to program from an early age, but Ian Bremmer, a renowned American political scientist and entrepreneur, says that this may be one of the worst pieces of advice that can be given: "Is literally worse advice now than 'get a face tattoo.'"
Ian Bremmer spoke about it on HBO's Real Time with Bill Maher. He is a leading figure in the analysis of international relations and his opinions are taken into account by governments, companies and the media around the world. According to Bremmer, what was until recently considered a secure professional future could be very different in the future. The reason? Artificial intelligence.
A future job market that may be very different for computer scientistsBremmer highlighted data from a recent New York Federal Reserve report on the job market, which stated that AI is rapidly changing the career prospects for programmers. According to the analyst, artificial intelligence has already rendered many traditional software development skills obsolete, resulting in many programmers now facing economic hardship.
Still, most programmers remain convinced that AI will not take their jobs, but can be a help, but never a substitute. Bremmer's words are backed up by labor market data from the New York Federal Reserve, which show that recent computer science graduates have higher unemployment rates than graduates with degrees in humanities, such as journalism or political science. Many programming professionals see the future of AI as a boon, but some analysts warn that it could be a problem.
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CrowPi 3: Portable Lab For AI And Electronics Learning - New Atlas
Back in 2018, Elecrow hit Kickstarter with an electronics learning lab-in-a-box based around the Raspberry Pi. A 2nd generation crammed the lab into a laptop form factor. The CrowPi 3 "playground for programming, electronics, and pure maker magic" goes all-in-one.
The CrowPi 3 launches as an all-in-one portable electronics and programming lab with dozens of modules to fuel your tinkering journey, and over 180 interactive lessons to help you on your way.
It boasts direct support for the Raspberry Pi 5 and other small boards such as Arduino Nano, Pi Pico and micro:bit – meaning you won't need to break out cables like you did for the CrowPi 2.
Elecrow has built in 41 modules too, including sensors (ultrasonic, touch, passive IR, temperature, humidity), a breadboard for circuit experiments, GPIO headers, a 4.3-inch tilting touchscreen plus a dot-matrix LCD panel, RGB LED matrix, RFID, and more.
The CrowPi 3 can be had with Raspberry Pi 5 brains, and boasts 41 tinker-tastic modules plus 180+ curated lessonsElecrow
There's a joystick and buttons for onboard control, and the system comes with a microSD card packing drivers, tools and learning resources but users are free to install and run their preferred operating systems. This learning library features a bunch of lessons for different boards. Of the CrowPi 3 kits available, only the advanced and deluxe flavors will ship with a Pi 5 board included.
You'll also need to factor in a laptop over HDMI/USB to punch in code. The CrowPi 3 supports programming platforms like Python, Scratch, Arduino IDE Node-RED and MakeCode, among others – with learning modules available for some, and the strong possibility of others being added later.
Tinkerers can prototype their own circuit boards as part of project buildsElecrow
Going online will allow users to tap into AI tools like ChatGPT, Gemini, Deepseek and other popular Large Language Models – though small offline AI models can be deployed on the Raspberry Pi 5 directly (and there are tutorials to show you precisely how to do so).
"Whether you're learning, exploring, or building AI locally, it gives you the tools and hardware foundation to learn and innovate," reads the campaign pitch. Elecrow has included tutorials on controlling hardware using voice control, generating AI imagery and videos using text or voice prompts, and using AI vision to detect, identify and tracks objects.
Each curated course has been designed to take a maker "from beginner basics to real-world projects." The open learning station can also serve as a chatbot - your digital pal – for real-time conversations, help with day or trip planning, or to access the world's information library in an instant.
The "portable learning station designed with a sleek industrial aesthetic that makers love" can run on rechargeable batteries, or be powered via the included mains adapter. A semi-transparent magnetic dust cover is included, and there's an option to include a wireless keyboard and trackpad that snaps into place too.
Using the CrowPi 3 to control smart home functionsElecrow
"From ultrasonic sensing and interactive lighting to gesture-controlled music and AI learning, CrowPi 3 turns programming theory into real-world skills with over 180 interactive lessons," said the company. "Our self-developed learning software makes it fun and accessible, teaching Python, AI concepts, and even Minecraft automation step by step. Plus, you can explore Node-RED for IoT and hands-on courses for micro: bit, Raspberry Pi Pico, and Nano-compatible boards."
Kickstarter pledges for the early bird basic kit currently start at US$159, while the Edu kit version (with three CrowPi 3 learning stations) comes in at $447. You'll need to supply your own Raspberry Pi 5 for these perks, but the Advanced kit includes the popular development board along with wireless keyboard and mouse and other accessories for $289. A Deluxe flavor of the Advanced option adds in a CrowView Note portable monitor for $409.
All crowdfunding campaigns have an element of risk, but Elecrow has good form for delivering projects and also operates a successful webshop outside of the crowdfunding space. If all goes to plan with this already funded campaign, shipping to backers is estimated to start from August. The video below has more.
CrowPi 3: All-in-One Al Learning and Development StationBack Us on Kickstarter
Source: Elecrow
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