How To Learn AI as a Beginner

Imagine a world where computers can quickly process big data or data structures and communicate back and forth with you as if you were talking with another person. At first, this may sound like the plot of a science fiction movie. However, it’s moving toward reality in the year 2024 thanks to the growing field of artificial intelligence (AI).

AI refers to a machine’s ability to perform tasks that typically require human intelligence or intervention. As the capabilities of AI technology continue to grow and expand, a fundamental understanding of how AI works (and how it can save you time, energy, and money) is becoming a more common expectation for workers in many different industries.

In this article, we’ll introduce you to the ever-expanding world of AI. We’ll cover the knowledge and skills necessary to begin using AI at a basic level, and we’ll walk you through some of the most common types of AI currently available for use. Finally, we’ll dive deep into ten steps anyone can take to learn how to use AI at a foundational level, and we’ll even show you a few beginner-level jobs where you can put your new AI skills to work.

What is artificial intelligence (AI)?

AI is a wide-ranging term that refers to the ability of apps and other programming models to perform complex or repetitive tasks that previously depended upon human execution. This includes big-data analysis, manufacturing automation and optimization, popular conversational chatbots like ChatGPT, and other forms of AI, such as voice assistants. While humans still play the creative and decision-making roles, such as crafting prompts and guiding AI, now AI capabilities can streamline tasks that once required a greater amount of time, energy, and effort.

AI also impacts behind-the-scenes workflows and processes. For example, a manufacturer or supply chain management team may use AI to enhance and automate their processes. They can implement AI to quickly analyze data and make predictions about future demand in addition to automating other menial tasks while freeing up human workers for other projects.

A growing number of businesses are adopting AI to improve their customer service, cybersecurity, and customer relationship management (CRM) processes. Many others find ways to enhance their data analytics and improve their search engine optimization (SEO) through AI.

AI can also make a difference on an individual level. As time goes on, more and more people will use self-driving cars, digital assistants, and other AI technologies.

Why should you learn AI?

AI is quickly changing the way people think, learn, and work. While artificial intelligence has been around for over 25 years, generative AI has risen to prominence in recent months because of the development of advanced tools that wouldn’t be possible without new discoveries in AI. Take the time to learn AI basics to unlock numerous career growth and job advancement opportunities.

Here are some other ways learning AI may provide benefits for you:

• You’ll stay updated on technological advancements. Machines are seemingly getting more capable by the day. If you can develop a basic understanding of how AI works, you’ll be able to use your knowledge to improve your work and strengthen your company or organization. Knowing how to integrate AI into the work your company is already doing will give you a significant competitive advantage.
• You’ll be more employable. As AI continues to grow, more companies will want to hire employees who know how to leverage the power of AI. Companies looking to fill open positions desire workers who can apply AI skills to real-world problems and scenarios.
• AI is highly versatile and widely applicable. Knowledge of AI isn’t only useful if you work in computer programming or data engineering. You can use this highly transferable skill in almost any industry or sector.
• You’ll make a better living. As the capabilities of AI continue to grow, professionals skilled in AI will be in high demand. Those who can bring AI experience and knowledge to the table will position themselves for lucrative job offers and contracts.
• You can make the world a better place. While the future impact of AI on society is uncertain, many individuals and organizations already see AI as an incredibly powerful tool with the potential to make the world a better place. If you know how to harness the potential of AI in a way that benefits society, you’ll contribute to the ongoing development and improvement of the world as a whole.

What does an AI engineer do?

AI engineers spend time learning about AI and developing new solutions that apply AI practices to various real-world problems throughout business and life. They have strong computer programming skills and use this awareness to build algorithms and develop new models that incorporate natural language processing (NLP) and data analytics.

The field is rapidly growing, and the U.S. Bureau of Labor Statistics (BLS) predicts that the need for machine learning engineers and computer research scientists will grow by 21% through 2031. In addition, AI engineers can make a range of $30 to $60 per hour on freelance projects, making it a potentially lucrative field. The exact hourly rate will likely depend on your past experience and qualifications.

How long does it take to learn AI?

Learning AI can be challenging because this discipline encompasses many other skill sets and areas of expertise. An individual can spend four to six years earning a bachelor’s or master’s degree in computer science and still need additional training to develop a thorough understanding of AI. However, those with a natural knack for math or science who bring strong reasoning or problem-solving skills to the table may have an easier time picking up AI.

The time it takes for each person to learn AI depends on their natural skills, past experiences, and the pace at which they’re willing to learn and practice. If you’re thinking about getting into AI, earning a relevant bachelor’s or master’s degree is a good place to start. You can also pursue a professional certificate or look for opportunities to gain practical experience working in AI.

Types of AI

Businesses are already using AI in a number of ways, and its capabilities should continue to grow in the coming years. Here are a few ways generative AI is already at work:

• Text. Services like ChatGPT, Google Bard, and Jasper produce long-form responses in a conversational manner from short user text prompts.
• Images. Artists are using AI to develop new images from scratch or to aid in their current creative process. They use AI applications like Midjourney, Hugging Face, and Stable Diffusion.
• Video. AI video tools automate the process of creating and editing high-quality videos. GilaCloud, Synthesia, and InVideo are a few of the most popular tools currently available.
• Audio. Musicians and producers can use AI to speed up music production or create AI-generated tracks from scratch. They use software like OpenAI’s MuseNet, iZotope, and Brain.fm.

Of course, these generative AI examples represent only a few potential uses of AI. AI is a wide-encompassing field with numerous possible applications. Here are a few common AI techniques to know as you begin thinking about how AI works:

• Machine learning. Machine learning uses algorithms to replicate the process of how humans learn, allowing systems to improve their ability to make classifications and predictions over time.
• Computer or machine vision. If machine learning mimics some parts of the functionality of the human brain, machine vision mirrors the capabilities of the human eye. Computer vision allows machines to process images and interpret the information they contain.
• Natural language processing. Natural language processing (NLP) refers to a computer’s ability to understand and process language in a conversational manner.
• Automation and robotics. Robotic process automation (RPA) refers to the use of AI to equip robots to automatically complete hands-on tasks.

In the next section, we’ll walk you through 10 steps to learn how to use AI in any of the above areas. We’ll also share some examples of entry-level AI jobs that may offer you a chance to gain experience and get started in the field of AI.

‍

10 steps to learn AI

Now that you know what AI can do, perhaps you’re interested in learning more about how to use it. Below, we’ll provide a step-by-step process for using AI in a way that makes an immediate impact.

Understand the basics

Before getting too far into more advanced steps, familiarize yourself with the concept of AI and various AI applications. This means gaining a general understanding of deep learning, natural language processing, and machine learning as well as other commonly used terms in the world of AI.

Machine learning is a computer’s ability to learn how to perform tasks for which it wasn’t specifically programmed. While this is a common capability of human beings, machines couldn’t do this until just recently. Rather than teaching computers how to function when given detailed instructions, machine learning enables computers to adapt on the fly and learn through experience.

Deep learning refers to a subset of machine learning. Deep learning aims to stimulate the human brain’s functionality by learning from large data pools. Through deep learning, computers can improve their ability to make accurate predictions and refine them for greater accuracy after repeated attempts.

Finally, natural language processing (NLP) involves a computer’s ability to process language like a human. NLP equips computers to understand written and spoken words, process what it’s receiving, and interpret the message in a way that a computer can understand. Through data processing, the computer takes in the message and highlights areas of emphasis for the algorithm to work with as it determines whether to take an action or provide a response.

Learn fundamental concepts and tools

Understanding the basics of AI is a great start, but you must also spend time studying key concepts (like neural networks, algorithms, and data analysis) and developing knowledge of programming languages (like Python or Java), which are widely used in AI.

Neural networks teach computers how to process data. It’s another subset of machine learning, and it involves creating a system that computers can implement to improve on their mistakes and develop stronger systems over time.

An algorithm in AI is a set of instructions a computer must follow based on certain cues or calculations. Algorithms are a form of programming that teach a computer how to function. Without algorithms, we would not have AI.

You’ll need a basic understanding of how to use programming languages to develop AI systems on your own. As you can imagine, learning how to set up AI programs can be pretty complex. Many AI developers find that using an efficient programming language (such as C++) helps them create effective products.

Explore online courses

Self-paced online courses and tutorials are perfect for beginners wanting to learn on their own schedule. Online courses typically offer tremendous flexibility and convenience, enabling you to study and complete coursework when you aren’t busy with other responsibilities.

Some data science courses require a small fee, but free courses are also available. Check to see if the courses have any educational prerequisites for learners, and keep in mind not all courses will require prerequisite experience in AI solutions.

Several popular online learning platforms, such as Coursera, edX, and Udemy, offer beginner-friendly AI courses. You can include a course certificate on your resume to boost your AI job applications.

Build a strong foundation

Build a strong foundation in AI by familiarizing yourself with relevant mathematics and computer science subjects. Fields like linear algebra and statistics are especially important for helping you understand existing AI algorithms and thinking about how to go about building your own.

Linear algebra provides the framework for adjusting and analyzing data within AI systems. You’ll have an easier time understanding how data moves through neural networks if you learn about key concepts, such as matrices, vectors, and linear transformations. This will boost your conceptualization of AI’s inner workings.

In addition, knowing how to study and process statistics will help you evaluate current AI systems and look for ways to improve them. Try to expand your probability theory, hypothesis testing, and statistical distribution knowledge. This will enable you to evaluate the current performance of AI models and judge the viability of the results the systems produce.

Mathematical concepts form the basis of ML and deep learning principles, which play a major role in the development of AI. Developing an understanding of the role of computer science in AI is also quite helpful. This involves studying some of the concepts we’ve already discussed in this article, in addition to exploring design algorithms and learning how to optimize computer performance in a way that helps AI programs run more efficiently and effectively.

Get hands-on practice

While studying AI and related concepts will help you understand how AI works, the best way to learn how to use AI is to put your knowledge to the test. Find opportunities to work on practical AI projects to gain hands-on experience. As you participate in these endeavors, implement datasets and machine learning algorithms using libraries like TensorFlow or PyTorch.

While teaming up with others is a great way to learn, you can also pick up quite a bit by working on your own projects from scratch. This may seem more challenging, but you’ll benefit from testing different systems and going through the process of trial and error. Don’t forget to keep a portfolio of your work to share with potential employers as you look for a job in AI.

If you get involved in an AI training course, here are a few projects you may expect to work on:

• Building a chatbot. Coursera offers several courses that will teach you how to use NLP to build a working chatbot.
• Create an optimized routing. You can use AI to automatically optimize routes based on past data. Usually, this involves the implementation of vehicle routing problems (VRP).
• Assess document keyword optimization. Several tools already exist to improve search engine optimization (SEO) through the use of AI. By learning how to incorporate machine learning into SEO, you’ll be able to help businesses improve their organic search visibility.
• Develop a robotic device. New discoveries in computer vision are accelerating the development of industrial robots that can work 24/7. EdX and Coursera each offer several online courses to help you expand your knowledge.

Join AI communities

Many people find that learning is easier when they aren’t embarking on the journey alone. Look for AI communities you can join to connect with fellow enthusiasts and experts. You’ll further your learning and enhance your application by engaging in discussions, sharing ideas, and learning from experienced practitioners.

Thankfully, people can gather in several great online communities to discuss the use of AI. DAIR.AI provides a wide range of free tools and resources that explain AI topics in greater detail. ChatGPT Prompt Engineers is another excellent platform for beginners to ask basic questions about prompts and outputs. Upwork hosts its own AI and machine learning community for professionals interested in connecting with other community members and learning about how to better use AI.

Collaborate on open-source projects

Those wanting to collaborate with others working on AI-based projects can search through platforms like GitHub or Kaggle to make connections and pursue partnerships. Contributing to these open-source projects can build your skills and provide practical hands-on experience.

‍OpenAI’s API is a great open-source platform for collaborating with others. You’ll learn more about the basics of AI implementation as you collaborate with like-minded individuals. You might also create a basic AI system, such as a chatbot, to see how much you can complete independently.

As you network, you may find other helpful working groups. For example, Greg Schwartz is an Upwork freelancer interested in helping others learn how to use generative AI and develop better prompts. He hosts a podcast and a mastermind for other creators who are interested in learning how to improve their prompt engineering.

Stay updated

As a new and emerging field, the landscape of AI is always changing. Don’t assume your current knowledge base will be sufficient to lead you into the future. Stay updated with the latest advancements through relevant research, blogs, podcasts, and newsletters. For example, MIT News produces an excellent blog that shares much of the school’s groundbreaking research. Google also built an AI blog to keep the public current on the latest findings.

You should also work to keep yourself informed on emerging trends and techniques, as well as new apps being discovered in various sectors or industries. This will help you stay current on how AI grows and develops and which new applications and functions are becoming possible. You can stay current by reading research papers, following accounts on social media that post AI-related information, and engaging with the AI community in person or virtually.

Explore specializations

Perhaps you can find a unique specialization in AI through personal interest or past experience. For example, some people choose to focus on computer vision or natural language processing.

If this route interests you, consider enrolling in specialized courses or boot camps to set yourself up for success in a specific domain. Udemy offers an AI masterclass to help students develop a basic understanding of hybrid AI models. You can also enroll in a Coursera class specializing in deep learning.

Focus on continuous learning

Once you build a baseline of knowledge and start working in the field of AI, you should still pursue ongoing professional development and continuous learning. Stay curious about how the field is growing and expanding, and look for opportunities to expand your knowledge and take your skills to the next level.

You can do this by attending conferences or engaging with other AI professionals through social media or online forums.  Websites such as Renderosity and AI arts forum are great spaces to share your knowledge and learn from other creators.

Sample beginner to intermediate AI jobs

Interested in getting into an AI career but unsure where to begin? Here are a few entry-level and intermediate AI jobs that were recently posted  on Upwork. While you may not find these exact jobs still open on the platform, they are representative of the types of projects you can expect to find on Upwork. Search open jobs to find current opportunities.

Job 1: Build a customer service chatbot

One client is looking for an AI engineer who can build a chatbot to answer customer questions about insurance and benefits. They are looking for an entry-level candidate familiar with chatbot development.

If you want to stand out from the competition, it will be helpful to have some past experience using data engineering or creating chatbots that you can describe in your proposal and include in your freelancer profile. You may also want to share details about any web development, programming, or NLP technique training or classes you’ve completed. In addition, get familiar with the specific customer’s field, in this case insurance and benefits, so you’re able to understand the client’s needs in their preferred terminology.

Job 2: Aid in the creation of a 3D robot companion

AlilyAI is a startup looking for recent high school or college graduates to help take projects to the next level. The startup needs additional help building technology for face tracking, natural voice and video translation, and a smart-walking notification system.

Applicants should have a bachelor’s degree in a related field, such as software engineering or computer science. A background in artificial intelligence and machine learning and familiarity with programming languages and deep learning frameworks would also help. In addition, research current literature on face tracking technology.

Job 3: Content creation using AI

Esteem Marketing is looking for a content creator who can leverage existing AI tools to build quality content. The company hopes to find someone who can create videos, social media posts, lifestyle pieces, and other engaging content.

This job is a great fit for someone who is still learning about AI. You don’t have to be a data scientist or an expert in AI and machine learning to be a top candidate. You could be a great fit if you have experience analyzing social media performance, developing high-quality multimedia, and collaborating with teams to achieve company marketing goals. You’ll do all this while learning how to use AI tools like ChatGPT at a basic level.

Job 4: Develop an AI chatbot

This client hopes to build an AI chatbot for their platform, and they’re searching for a developer who can help. This job would require you to search through publicly available website and document data during production. You’ll develop a chatbot that can engage in natural language conversation with customers to provide relevant responses based on the customer’s input.

Like other forms of advanced AI, your prototype should have the ability to use past information to improve its responses over time. This job is unique from others on the list in that the client is looking for a freelancer with intermediate experience, so it would help if you had past experience in AI or chatbot development.

Find AI jobs and AI resources on Upwork

As you can see, AI is blazing new trails and causing new possibilities to emerge. It’s safe to say this is only the start of the AI revolution. Follow a systematic approach as we’ve described to build on your understanding of AI and take your AI career to the next level.

If you’re ready to start looking for new and exciting possibilities in the world of AI, head to Upwork to browse open freelance AI jobs. This is your opportunity to dip your toes in the exciting new world of AI (or share your AI expertise with others).

If you’re a client, you can also use Upwork to hire AI professionals who can implement AI to take your business to the next level. Whatever you need, let our independent talent pool help you achieve your goals.

Disclosure: Upwork is a Jasper Affiliate and may receive referral payments from Jasper. When using Jasper, you will be subject to Jasper’s Terms of Service and Privacy Policy. As always, independent professionals remain responsible for evaluating the tools offered and determining the fit for their business needs, as well as their own compliance with all laws and legal requirements in operating their freelance business.

Disclosure: Upwork is an OpenAI partner, giving OpenAI customers and other businesses direct access to trusted expert independent professionals experienced in working with OpenAI technologies.

Upwork does not control, operate, or sponsor the other tools or services discussed in this article, which are only provided as potential options. Each reader and company should take the time to adequately analyze and determine the tools or services that would best fit their specific needs and situation.