HOW TO KICK-START YOUR AI CAREER JOURNEY? A STEP-BY-STEP GUIDE

HOW TO KICK-START YOUR AI CAREER JOURNEY? A STEP-BY-STEP GUIDE

It is needless to mention how rapidly the artificial intelligence industry is growing. Though it has always been the talk of the town, in the last few years it has been booming crazily. From healthcare to manufacturing to financial services, artificial intelligence has found its applications in almost every industry available. AI has been revolutionizing the way we live and work, and the major credit for this revolution goes to skilled AI professionals.

As the world is embracing Artificial intelligence technology and organizations across the world have started realizing its potential, the investment in this domain is growing at an unprecedented rate. It has been predicted that the global AI market will reach $1,812 billion by 2025 (as per Grand View Research). A huge investment will also be made in the workforce. Also, WEF has reported AI jobs to be the fastest-growing jobs in the world now. So, the question is – how to start your AI career journey? Let’s explore.

Rise in AI and its diverse career path

A career in artificial intelligence includes several latest technologies such as machine learning, natural language processing, computer vision, etc. Not just the technical roles only, this career path also offers opportunities to professionals with backgrounds in business, law, ethics, design, and marketing as well. This diversity indicates AI is for everyone as truly said by Andrew Ng. The only thing that matters to excel in this career path is your willingness to learn and upgrade regularly.

Educational Pathway

Formal education

First things first, you need to have a strong educational foundation. Employers want the candidates to have at least a bachelor’s degree in a relevant field such as computer science, engineering, mathematics, statistics, or similar. Through these courses, you will have your basics clear of the areas like algorithms, data structures, programming, etc. that are mandatory to understand core AI concepts.

Having a higher degree such as post-graduation or PhD, can be beneficial if you are aiming for deeper specialization and research opportunities.

Continuous Education

Well, if you think a formal college education can guarantee a job in the AI domain, then you may need to rethink. The competition is fierce, and the course curriculum is outdated or just basic. To distinguish yourself, you need to continuously upgrade yourself with the latest AI tools and technologies.

You can get help from online artificial intelligence courses available on Coursera, edX, Udemy, etc., or learn from YouTube lecture videos, refer to blogs and forums, or get assistance from AI books.

Apart from that online communities like Kaggle can also provide you with sufficient resources to learn, upgrade, and collaborate with experts in this field.

Building Skillset to Ace the AI

There are some core skillsets both technical and non-technical that you need to gain before you get started with your AI career journey. These AI skills and soft skills will help you perform your job efficiently.

Technical Skills

  • Programming Languages such as Python, R, Java, and others
  • Machine Learning and deep learning algorithms including linear regression, decision trees, and neural networks
  • Data analysis using tools like pandas and numpy
  • Familiarity with AI frameworks and libraries such as TensorFlow, PyTorch, and Scikit Learn.

Soft Skills

  • Critical thinking and problem-solving skills in case you encounter complex challenges in your AI project
  • Effective communication and collaborative skills
  • Understanding of ethical concerns related to bias in algorithm, its fairness, and transparency.

Building a portfolio and practical experience

The more projects you showcase in your resume, the better the chances of getting hired. Here are some ways in which you can enhance your portfolio and experience.

  1. Contribute to open-source projects
  2. Participate in Hackathons and competitions
  3. Join internships and entry-level AI jobs

Validate your Experience and Expertise

Now that you have gained enough AI skills, knowledge, experience, and expertise, it’s time to get these validated. There are various kinds of artificial intelligence certifications that validate all your achievements. The top certification programs are widely recognized across industries around the world.

Two popular senior-level AI certification programs are USAII’s

  • Certified Artificial Intelligence Consultant (CAIC™)

This intermediate-level artificial intelligence certification is designed for mid-level professionals with 2-6 years of work experience who want to incorporate AI tools in technologies in leading their AI projects from designing to building and deploying. CAIC™ helps professionals learn about the latest algorithms, tools, techniques, architecture, and frameworks that are now widely used in AI and ML to solve real-world business problems.

  • Certified Artificial Intelligence Scientist (CAIS™)

If you want to become an AI scientist, then look no further. This advanced-level certification designed for senior-level professionals isn’t only meant for AI scientists but every director, CXO, and decision-maker who wants to incorporate AI in their strategies to boost their organization’s productivity and efficiency.

Earning these kinds of AI certifications can validate your AI expertise and distinguish you from the crowd.

Conclusion

AI domain is evolving rapidly and growing even faster. It is the best time to invest in yourself and get started with your AI career journey. Ensure you have the right educational qualification for a strong foundation, and then gain and validate your experience and expertise. That’s all. Then you can start your AI job hunting efficiently.

Aileen Scott

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