The world of technology changes very fast. What once used to be trending needs no time to become obsolete. This is the case with AI as well. Soon after its launch, Generative AI was the talk of the time. But now it’s the time for Agentic AI, quantum computing, and more.
However, the field of AI still remains the preferred choice of career among beginners as well as experienced professionals. A career in AI offers some of the fastest growing and high-paying AI jobs.
Therefore, if you want to succeed in your career, you must gain the latest and most in-demand AI skills. It will not only help you stay relevant in the market but also serve as the foundation for future skills needed to perform evolving jobs in this field efficiently.
So, let us discuss some of the top AI skills and how they could benefit you in your career.
1. AI Ethics and Governance
Now every company, big or small, is looking to build, deploy, or integrate AI products and services for their businesses or their customers. This race of developing innovative and effective AI models has led to heavy usage of user data. This is where this role becomes important.
Mastering these skills is necessary for developing frameworks and strategies for ethical development and use of AI with a focus on transparency, fairness, and accountability.
What makes this skill trending is the growing regulatory pressure across the globe, such as the EU AI Act, and the businesses prioritizing ethical AI to maintain trust among stakeholders and ensure compliance.
With this skill, you can advance to roles like an AI Ethics officer who can earn up to $162,960 to $244,440 for a senior level in the US (as per Jobicy).
2. MLOps
MLOps is a popular AI trend today that enables seamless machine learning workflows. Organizations are looking for MLOps specialists who can assist them with scalable and reproducible AI model deployments.
By mastering MLOps skills and tools, you can become an efficient ML engineer or MLOps engineer and earn up to $163,801 per annum in the US. Even starting positions can earn $134,381 pa (source: Talent.com).
3. LLM Engineering and LLMOps
With organizations actively adopting generative AI and relying on LLMs for improved business processes and customer service, the demand for AI professionals with LLM engineering skills is soaring. LLMOps is required to optimize, fine-tune, and deploy large-scale LLMs like GPT, LLaMA, and others. Several Artificial Intelligence certifications today emphasize these highly important AI skills to ensure the learners know how to manage inference pipelines and reduce development costs.
According to ZipRecruiter, LLM engineers in the US can earn $25.48 to $76.68 per hour.
4. Generative AI and Diffusion Models
The knowledge of Generative AI models including GANs and diffusion models is required to create synthetic media such as image or video generation through prompts, or 3D rendering.
Factors like the increase in demand for creative AI in media, virtual reality, and gaming industries is fueling the demand for this skill. AI engineers specializing in prompt engineering and generative AI Research Scientist can command huge salary.
5. Green AI and Efficiency Engineering
It refers to the development of energy-efficient AI models to reduce the carbon footprint. This field of AI ensures resources are utilized optimally without compromising performance.
The need for Green AI is increasing because development of huge AI models is seriously impacting the environment and raising environmental concerns. Moreover, efficiency engineering is necessary to scale AI applications in a cost-effective way.
Where to Learn These AI Skills?
Numerous AI courses and certifications are available for learning these skills and succeeding in an AI career path.
For example, you can enroll in best AI certifications
like Certified Artificial Intelligence Engineer (CAIE™) to learn the basics of AI and an overview of MLOps and LLM Engineering. Or you can register for Certified AI Scientist (CAIS™) to learn about generative AI, its applications, and business applications, and master AI ethics and governance.
Apart from it, courses offered by Deeplearning.ai, Freecodecamp, MIT, OpenAI, Stanford University, etc., can help you master these latest in-demand AI skills faster.
AI certifications and courses are updated regularly, unlike regular degree courses, thus they can easily integrate the latest AI tools and technologies into their curriculum. It is advised to gain new skills through these top certification programs and commit to updating your skills regularly to remain relevant in the industry.
The AI field is growing and evolving!
A hope of succeeding in the field of AI with old and obsolete skills like coding or statistics should be considered worthless. The AI models today are advanced enough to perform a lot of jobs that engineers do today. So, if you want to stay relevant in the AI job market of the future, you need to outsmart AI systems, too. These latest skills mentioned above will help you understand the future AI technologies more easily and ensure you build innovative, effective, and useful AI systems in the future.
