AI Development: Right Career Choice? A Guide
Written by  Daisie Team
Published on 9 min read


  1. What is AI development?
  2. How to start a career in AI development
  3. Skills needed for AI development
  4. Potential career paths in AI development
  5. Why AI development matters
  6. Salary expectations for AI developers
  7. Future outlook of AI development
  8. How to keep up with AI development trends
  9. Glossary of AI development terms

If you've ever found yourself asking, "Should I consider a career in AI development?"—you're not alone. With the tech industry growing at a breakneck speed, AI development has emerged as a promising career path. This guide aims to break down what AI development is, its importance, and how you can get started on this exciting journey.

What is AI development?

Let's get started by understanding what AI development is. AI, short for Artificial Intelligence, is all about creating smart machines that can think and learn like humans. Now, AI development is the process of building these machines and their systems.

Imagine you're playing a video game against a computer. No matter how many times you play, the computer seems to learn your moves and beat you at your own game. That's AI at work! AI developers are the wizards who build these intelligent systems.

Here's a quick breakdown of what AI development involves:

  • Machine Learning: This is where machines learn from data without being explicitly programmed. It's like teaching your computer to play chess and then watching it learn and improve over time.
  • Natural Language Processing (NLP): Ever asked Siri or Alexa a question? That's NLP. It's all about teaching machines to understand and respond to human language.
  • Robotics: This involves creating machines (or robots) that can interact with the physical world. From automated vacuum cleaners to self-driving cars, robotics is a big part of AI development.
  • Vision systems: These are systems that can see and interpret visual information. Your phone unlocking when it recognizes your face is a great example of a vision system.

While this might seem a lot, remember, every expert was once a beginner. If you're considering a career in AI development, understanding these basics is the first step on your journey. In the following sections, we'll dive deeper into how you can start your AI development career, the skills you need, and much more.

How to start a career in AI development

So, you're intrigued and you're asking the important question, "How do I start a career in AI development?" Well, let's dive right in!

The first step towards this journey is education. You don't need a fancy degree from a top-tier university, but a solid understanding of certain subjects is key. Here's what you should focus on:

  • Mathematics: Especially areas like calculus, statistics, and linear algebra. They form the backbone of many AI algorithms.
  • Programming: Languages like Python or Java are often used in AI development. Coding helps you bring the concepts to life.
  • Data Structures and Algorithms: This will help you understand how to store, retrieve, and manipulate data efficiently.

Once you have a grip on these subjects, the next step is to learn about AI-specific concepts. You could opt for online learning platforms that offer courses on Machine Learning, NLP, Robotics, etc. Remember, practice is key. Try to work on small projects or participate in coding challenges to gain hands-on experience.

Internships can also provide a great learning platform. They not only offer practical experience but also give you a glimpse of the industry standards and expectations.

Networking is another important aspect. Connect with people working in the field, attend seminars or webinars, and join AI-related communities. This can open doors to job opportunities and provide insights into the latest trends in AI development.

Starting a career in AI development might seem like a steep mountain to climb. But remember, every step you take is bringing you closer to the peak. So, keep learning, keep practicing, and you'll find yourself growing into an AI developer before you know it!

Skills needed for AI development

So you're still wondering, "Should I consider a career in AI development?" Well, let's explore the skills you need to be successful in this field.

AI development isn't just about being good at math or knowing how to code. It's a combination of several skills, both technical and soft. Here's a quick rundown:

  • Problem-solving: This is a big one. AI development involves solving complex issues and creating new solutions. You'll need a knack for breaking down problems, thinking logically, and coming up with creative answers.
  • Knowledge of AI frameworks: Tools like TensorFlow, PyTorch, and Keras are commonly used in AI development. Understanding how these work can be a huge asset.
  • Understanding of Machine Learning: Machine Learning is a critical part of AI. Familiarity with different types of learning, like supervised and unsupervised learning, is necessary.

On the soft skills side, you'll need:

  • Communication: You'll often need to explain complex AI concepts to non-tech folks. The ability to communicate effectively is crucial.
  • Curiosity: AI is a rapidly changing field. A natural curiosity and willingness to continuously learn will keep you at the forefront.
  • Teamwork: AI development is often a team sport. Being able to work well with others, especially in a cross-functional team, can make a big difference.

These skills form the foundation for a career in AI development. But don't worry if you're not an expert in all of them yet. Remember, every expert was once a beginner. So, keep learning, keep practicing, and you'll get there!

Potential career paths in AI development

AI development is a vast field with a variety of exciting career paths. So, if you're still asking "Should I consider a career in AI development?" let's look at some specific roles you might land in:

  • AI Developer: As an AI Developer, you build and test AI models. You'll need to have a solid understanding of programming languages like Python and Java, as well as AI frameworks such as TensorFlow.
  • Machine Learning Engineer: Machine Learning Engineers design and implement machine learning models. They also handle large amounts of data and use it to train and test models.
  • Data Scientist: This role involves analyzing and interpreting complex data to help businesses make decisions. Data Scientists often use machine learning to make predictions.
  • AI Specialist: AI Specialists focus on creating and implementing AI solutions for specific industries or business needs. They need a broad knowledge of AI and its applications.

Remember, these are just some examples. There are many other roles in AI development, each with its own unique requirements and challenges. The key is to find a path that matches your skills and interests. So, are you ready to explore a career in AI development?

Why AI development matters

Now that you're pondering "Should I consider a career in AI development?", it's vital to understand why this field is important. The truth is, AI development is transforming the world around us in myriad ways. Here's why:

  1. Efficiency and productivity: AI can automate repetitive tasks, freeing up time for humans to focus on more complex problems. This has the potential to dramatically increase efficiency and productivity across numerous industries.
  2. Data analysis: AI has the ability to analyze incredibly large amounts of data and draw meaningful conclusions, making it invaluable in fields like healthcare, finance, and marketing.
  3. Improved accessibility: From voice-activated virtual assistants to predictive text features, AI helps make technology more accessible and user-friendly.
  4. Solving complex problems: AI can help solve complex problems, such as predicting weather patterns or diagnosing diseases, that are difficult for humans to tackle alone.

In essence, AI development is shaping the future. The work of AI developers today has the potential to impact how we live, work, and interact with technology tomorrow. So, the question isn't "Should I consider a career in AI development?" but rather "Am I ready to be a part of this exciting future?"

Salary expectations for AI developers

It's not just about being part of an exciting future, it's also about securing a rewarding career. So, you might wonder, "If I consider a career in AI development, what can I expect to earn?"

While the exact figures can vary depending on factors such as location, level of experience, and specific area of expertise, AI developers generally command substantial salaries. According to various job market reports, the average salary for an AI developer in the United States is approximately $110,000 per year. However, specialists in high-demand areas can earn significantly more.

And remember, the field of AI is still growing. As businesses continue to understand the value of AI and seek to integrate it into their operations, the demand for skilled developers is likely to increase. This could potentially lead to even higher salaries in the future.

So, if you're asking yourself "Should I consider a career in AI development?", the financial rewards are certainly a compelling reason to say yes.

Future outlook of AI development

Now, let's turn our gaze to the horizon. What does the future hold for AI development? If you're asking yourself, "Should I consider a career in AI development?" understanding the future prospects of the field is important.

AI isn't just a passing trend—it's set to be a major part of our lives in the coming years. From self-driving cars to virtual assistants and predictive analytics, AI technologies are revolutionizing industries across the board. And we're only scratching the surface of its potential.

What does this mean for career prospects in AI development? Simply put, they're looking bright. The World Economic Forum predicts that by 2025, the job opportunities in AI will have doubled from today. That's a lot of job openings for AI developers!

Furthermore, as AI technology continues to evolve and improve, there will be a need for developers who can keep up with the latest trends and techniques. So, there will always be something new to learn and explore.

So, "should I consider a career in AI development?" If you're excited about being on the cutting edge of technological progress and shaping the future, then the answer might well be a resounding yes!

Okay, so the future of AI development looks promising. But how do you stay updated in such a fast-paced field? If "should I consider a career in AI development?" is the question, being able to keep up with trends is part of the answer.

First off, you should make it a habit to read AI-focused publications. They often provide valuable insights into the latest developments in the field. For example, the MIT Technology Review and the Artificial Intelligence section of arXiv are excellent sources of information.

Online forums and communities are another great way to stay informed. Platforms like Reddit's r/MachineLearning and Stack Overflow are full of discussions about the latest AI technologies and techniques.

Attending conferences and webinars can also be beneficial. Events like the NeurIPS conference or the AI Summit offer a chance to learn from leading experts in the field and network with other AI enthusiasts.

Finally, don't forget about the importance of practical experience. Working on your own AI projects or contributing to open-source projects can keep your skills sharp and give you firsthand experience with the latest trends.

In short, keeping up with AI development trends involves a mix of reading, networking, and hands-on experience. So, if you're willing to put in the effort, you'll be well-equipped to navigate the exciting world of AI development.

Glossary of AI development terms

Well, if you're wondering "should I consider a career in AI development?" then understanding the jargon of this field should be on your to-do list! Let's check out some common terms you will come across:

Artificial Intelligence (AI): This is the big one. It's a broad term that refers to machines or software with abilities that mimic or simulate human intelligence. Think of it as teaching machines to learn, reason, problem-solve, perceive and use language.

Machine Learning (ML): This is a subfield of AI where machines are trained to learn from data to make decisions or predictions. For instance, Netflix using your viewing history to suggest what you might want to watch next is an example of ML in action.

Deep Learning (DL): A subfield of ML, but it's slightly different. It uses neural networks with many layers (hence, "deep") to learn from vast amounts of data. If you've heard about self-driving cars, they use deep learning to recognize the space the car is in.

Natural Language Processing (NLP): This area of AI focuses on interactions between computers and human language. It's how your voice assistant (like Siri or Alexa) understands your commands.

Neural Networks: These are algorithms modelled after the human brain, designed to recognize patterns. They interpret data through a kind of machine perception, labelling or clustering raw input.

Reinforcement Learning: This is a type of machine learning where an agent learns to behave in an environment, by performing certain actions and observing the results/rewards.

So there you have it, a quick guide to some of the lingo you'll need to understand if you're considering a career in AI development. Remember, every expert was once a beginner. Start with these terms, and before you know it, you'll be talking the talk of AI development!

If you're intrigued by the idea of AI development as a career choice and its impact on the creative world, we highly recommend checking out the workshop 'The Insane Potential of AI-Generated Art and Design' by Aunia Kahn. This workshop will give you insights into the possibilities and opportunities that AI can bring to the world of art and design, and help you make an informed decision about pursuing a career in AI development.