How to Get into AI Jobs?

With the rapid development of artificial intelligence technology, more and more people are paying attention to this field. However, for most ordinary people, getting involved in the artificial intelligence industry may not seem easy. So, what are the ways and methods to integrate into this dynamic field?

Here are four suggestions:

🧱Build a Solid Foundation, Learn Advanced Mathematics and Python Programming Language

Artificial intelligence is an interdisciplinary field involving computer science and mathematics. It involves many data and algorithmic problems, which are derived from mathematics. Therefore, to understand algorithms, it is necessary to first learn some advanced mathematics. Master the basics of advanced mathematics, starting from fundamental topics like calculus, linear algebra, probability theory, and convex optimization. Having a strong foundation allows for progressive accumulation. Regarding computer fundamentals, it’s essential to learn at least one programming language for artificial intelligence, preferably Python. Python is relatively easier to learn, widely applicable, and offers high learning efficiency.


🎓Master Machine Learning and Deep Learning Algorithms

The emergence of all technologies aims to solve real-world problems. Simple problems require simple analysis, often done through data analysis, where problems are identified by comparing data. Machine learning offers various methods such as decision trees, neural networks, and support vector machines, each suitable for solving different problems. Deep learning is a branch of machine learning algorithms that typically requires larger datasets. Deep learning algorithms, such as Convolutional Neural Networks (CNNs), can automatically extract features, demonstrating stronger generalization abilities and excellent performance in language, text, and image processing.


🤲Practice and Hands-on Experience

During the learning process of artificial intelligence, continuous practice through projects deepens understanding and application of AI algorithms while reinforcing acquired knowledge. One can engage in open-source projects or develop relatively simple yet complete AI applications such as speech recognition, image recognition, or natural language processing. Through these projects, practical experience is gained.


🌐Engage in Community Activities and Seek Advice from Others

Lastly, but equally importantly, actively participate in community-related activities and seek advice from other professionals. Contributing to open-source projects on platforms like GitHub is a great way to enhance coding skills and demonstrate practical experience to other developers. Active engagement and knowledge sharing within the community can greatly benefit one’s career development.

Before entering the AI field, systematic planning and targeted practice and experience accumulation are essential for long-term development in the AI industry.

Discover Jobright Discord Community: Empowering Your Career Journey

Welcome to Jobright Discord, your essential companion in navigating the job market and advancing your career. Our community offers a wealth of resources and support tailored to your professional growth:

📄 Resume Enhancement Channel: Upload your resume for personalized advice from seasoned advisers. Collaborate with peers to refine your resume for maximum impact.

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💡 Exclusive Adviser Insights: Benefit from industry-specific tips from experts like a senior career coach in tech and a FAANG recruiter with over 5 years of experience.

Moreover, active community engagement and seeking advice from professionals can greatly boost your career development. Contributing to open-source projects on platforms like GitHub showcases practical experience to developers and potential employers.


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