10 steps to becoming an AI pro

If you’re in the tech world and haven’t yet dipped your toes into AI, you’re missing a trick. AI is no longer just a buzzword – it’s rapidly becoming the foundation of modern technology.

A 2023 report from Tech Nation revealed that demand for AI-related jobs in the UK has surged by 200% in the past few years, with roles like Machine Learning Engineer and AI Developer being some of the fastest-growing positions.

From automating mundane tasks to revolutionising industries, AI is optimising everything around us. So, how do you keep up? By becoming an AI pro, of course! Here’s a guide to getting started.

1. Get familiar with AI basics

Before diving in, you need to understand what AI is. It’s not all killer robots and sci-fi fantasies. AI is the simulation of human intelligence by machines, and it powers things like chatbots, recommendation engines, and self-driving cars. Start with online tutorials, YouTube videos, or blogs to get the gist.

2. Brush up on your maths and stats

AI relies heavily on maths, especially algebra, probability, and statistics. You don’t need a PhD, but a solid understanding of these will help you make sense of algorithms and models. You can find free courses on platforms like Coursera or Khan Academy to brush up on your skills.

3. Learn to code (or sharpen your skills)

Python is king when it comes to AI development, so if you're not comfortable with it yet, it’s time to get learning. Python’s simplicity and vast libraries like TensorFlow and PyTorch make it a go-to for AI. Even if you’re a seasoned developer, mastering Python’s AI libraries is essential for tackling AI projects.

4. Dive into machine learning (ML)

Machine learning is at the heart of AI, enabling computers to learn from data. Start by exploring supervised and unsupervised learning, decision trees, and neural networks. Platforms like Kaggle offer datasets and challenges to practice and develop your skills hands-on.

5. Familiarise yourself with AI tools

To become an AI pro, you’ll need to get comfortable using the right tools. TensorFlow, Keras, PyTorch, and OpenCV are some of the popular libraries used for building AI applications. These frameworks simplify complex processes, making AI development more accessible.

6. Work on real projects

The best way to learn AI is by doing. Start small – try building a chatbot, working with image recognition, or even creating your own AI-driven recommendation engine. You can also contribute to open-source AI projects to build your portfolio and learn from others in the community.

7. Stay up-to-date with AI trends

AI is one of the fastest-evolving fields, so staying updated is crucial. Follow AI news, research papers, and blogs. Subscribe to newsletters from platforms like Towards Data Science or DeepMind to stay in the loop on the latest AI advancements and breakthroughs.

8. Network with AI enthusiasts

Whether it’s on LinkedIn, Reddit, or even attending AI meetups in your local area, building a network of fellow AI enthusiasts can help you grow. Engaging in discussions, sharing knowledge, and learning from others is invaluable when you’re navigating a fast-moving field like AI.

9. Join AI courses and bootcamps

If you’re serious about becoming an AI pro, consider enrolling in specialised courses or bootcamps. UK-based platforms like FutureLearn offer AI courses that provide structured learning, and some even come with certifications to showcase your skills.

10. Build a Portfolio

To stand out in the AI job market, you need more than just knowledge – you need proof of your skills. Build a portfolio of your AI projects, whether it’s personal projects or contributions to open-source initiatives. It’s your chance to show employers that you can take on real-world AI challenges.

What kinds of jobs require AI skills?

AI skills are needed in roles like Machine Learning Engineer, AI Developer, Data Scientist, and even in more traditional jobs like Software Engineers and IT Analysts who are expected to integrate AI into their work. In fact, many companies now prefer candidates with at least some AI knowledge, as automation becomes a bigger part of their operations.

Can learning AI really boost my salary?

Absolutely. AI expertise is in high demand, and AI professionals in the UK can earn well above the national average for tech roles. According to IT Jobs Watch, AI-related roles typically command salaries between £60,000 and £90,000, with top positions offering over £100,000.

Machine Learning Engineers, for instance, earn upwards of £65,000, and top-level AI experts can hit six figures. This represents a significant pay rise compared to non-AI tech jobs, which generally sit between £40,000 and £55,000. Machine learning and data science roles, in particular, are thriving across industries like finance, healthcare, and retail.

Do I need a degree in AI to get started?

Not necessarily. While degrees in AI or computer science can be helpful, many employers are happy with practical experience and project-based skills. Self-learning, bootcamps, and online certifications can be just as effective for breaking into the AI field.

Is AI only relevant to certain industries?

Not at all. While AI is often associated with tech giants like Google or Microsoft, it’s revolutionising a wide range of industries. In the UK, industries like healthcare, finance, and even retail are all adopting AI-driven solutions, meaning the demand for AI professionals is growing across sectors.

How fast is AI growing in the UK job market?

Incredibly fast. AI job listings have tripled in the last three years alone, and according to LinkedIn, the UK is one of the top countries for AI talent in Europe. It’s a field that’s expected to keep growing as more industries seek AI-driven solutions for their businesses.

AI is the future – keep up or get left behind

AI is reshaping the tech landscape and opening new doors for IT and tech professionals. By mastering AI, you’re not only future-proofing your career but also positioning yourself at the forefront of technological innovation. Start small, stay curious, and most importantly – keep up! Your next career boost could be just a few AI lessons away.