Artificial intelligence (AI) continues to transform businesses and our daily lives. As we move deeper into the 2020s, specific AI skills will be highly sought after in the job market.

Mastering these abilities can set you up for career success and give you an edge over the competition.

As AI becomes more advanced and integrated into technology and business operations, related expertise will be invaluable. Learning key concepts today will allow you to ride the AI wave rather than be swept away.

Those who refuse to build AI capabilities risk stagnating in their careers or even losing their jobs to automation. On the other hand, developing proficiency in AI can make you a hot commodity.

The good news is that expanding your skill set can be done without returning to school for a technical degree. Affordable online courses and certifications can give you a working knowledge of AI's critical components.

5 AI Skills You'll Need to Dominate the Job Market by 2024

AI is radically changing careers. $110 billion will be invested in AI by 2024, but it's only valid with the talent to implement it. You have a big opportunity to future-proof your career by gaining the most in-demand AI skills over the next few years.

Now let's look at 5 AI competencies that will be vital to have on your resume in 2024:

1.Machine Learning

Machine learning allows computer systems to improve at tasks through experience without explicit programming. This technology drives personalized recommendations, image recognition, and predictive analytics.

As businesses rely on advanced machine learning applications, they will need staff who can develop, manage, and maintain these systems.

Prioritize learning about supervised learning, unsupervised learning, reinforcement learning, and neural networks. Focus primarily on use cases in your industry.

With these fundamentals, you can gain an operational understanding of machine learning.

2.Natural Language Processing

Natural language processing (NLP) is the ability of computer systems to analyze, generate, and extract meaning from human language. NLP powers chatbots, language translation tools, text analytics, and voice technologies like Alexa.

As NLP continues improving, businesses find tremendous value in leveraging massive amounts of unstructured text data.

Start by studying the linguistics essentials, such as morphology, syntax, semantics, pragmatics, etc. You then learned techniques like sentiment analysis, topic modelling, and named entity recognition. Developing NLP skills will make your services valuable across many sectors.

3.Robotic Process Automation

Robotic process automation (RPA) allows configuring computer software to emulate human actions and complete repetitive digital tasks. It enables automating workflows without complex programming. RPA adoption is soaring as organizations utilize it to reduce costs and errors.

Focus your learning on leading RPA tools like UiPath, Blue Prism, and Automation Anywhere. Understand how to assess processes for automation potential, design bots, and monitor their performance.

Companies will need RPA experts to identify automation opportunities and govern both resources.

4.Data Science

Data science merges statistics, analytics, and programming to generate business insights from data. It utilizes AI techniques like machine learning alongside big data tools to solve critical business challenges.

As data collection grows exponentially, organizations will heavily invest in data analytics.

Prioritize gaining proficiency in Python and SQL programming languages, Excel, data visualization programs like Tableau, and statistical concepts. Learn techniques like clustering, regression, and experimental design.

Whether you want to be a data scientist or work alongside them, ramp up your data science IQ.

5.Cloud Computing

Cloud computing allows access to computing services like servers and data storage over the Internet. It offers enterprises tremendous flexibility, scalability, and cost savings. Cloud-based AI development platforms are expanding rapidly.

Companies are migrating data and applications to the cloud to power advanced analytics and machine learning initiatives.

Understand essential cloud services like infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). Learn leading public cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud.

Study how machine learning models are built and maintained on the cloud. This will position you for high-growth cloud and AI roles.

Gear Up Now to Ride the AI Wave of the Future

The above overview provides a snapshot of crucial AI skills that will be highly sought after.

More niche abilities are available, like computer, vision, deep learning frameworks, AI ethics, etc.

We suggest focusing first on the abovementioned fundamentals relevant to your desired role.