AI is an expanding field proving its usefulness in varied areas. The article highlights skills and application for AI at various levels.
AI is a booming industry, which is expected to show tremendous growth not just in the near future, but potentially for many following years. It is one of the fastest growing technologies that has been deployed by almost every sector and enterprise to accelerate their business and optimize their operations. But with the growth of different subdomains under the vast umbrella of Artificial Intelligence, there has been an increased demand for AI and specific-domain professionals that help with the development of AI as well as boost the adoption of the same.
According to an article by simplilearn, AI and machine learning jobs have jumped by almost 75% over the past four years and are poised to keep growing. That is 3 times the demand, which means there is a high scope for tech professionals in this particular arena.
And AI is not just limited to development of AI tools or solutions, there are so many different choices that an aspiring AI professional can choose from and make a solid career in it.
Some of the most common Careers in AI or Roles for AI jobseekers are –
- AI Developer
- ML Developer
- Business Intelligence Developer
- NLP Developer
- AI Data Analyst
- Chatbot, Virtual Assistant Specialist
- NLU Engineer
- AI Engineer
- Data Annotator
- Analytics Manager
- Data Scientist
- Computer Vision Specialist
- Big Data Engineer
- Robotics Scientist
- Research Scientist
- Deep Learning Programmer
- Full Stack Applied AI Expert
- Product Manager
- Algorithm Specialist
- Computer Scientist
These are some of the most common careers in AI that a person can get to choose from among others.
Now what does it take to start a career in AI in these times?
Since there has been such diversification of the industry in recent years, including the ones spent under lockdown and working from home, the need and demand for AI skills and knowledge has only increased.
So, what that means for a person looking to get into the field of AI, is that it is a prime time to just dive in and get started with acquiring all the necessary skills and requirements to grab a job in this market.
The first thing that you may want to do is identify and select your niche. Since this is such a huge and widespread industry, it is important for aspiring professionals to first do some research and understand what exactly it is that they want to do.Now, AI is not just a sector in itself, it is also a supplementary technology utilized by most of the other industries such as healthcare, education, marketing, IT, cybersecurity, etc. So, what you might want to do is, look around a little and match your existing skill sets with those of the required industry skills, and then come down to a conclusion.
What are some of the skills that you will need to possess for having a successful career in AI?
- Understanding of math is the topmost looked for skills in AI
- Basics of computers
- Specific penetration industry knowledge
- Critical Thinking
- Soft Skills
- Predictive skills
- Logical Reasoning
- Cognitive learning
- Analytical capabilities
- Statistical abilities
Apart from these what are the Educational Requirements for Careers in AI
It’s important to start by saying that there are no particular sets of educational achievements that will fit all the AI related job roles. But, there are some academic courses that can prove to be beneficial for these jobs.
- Python
- R
- Java
- C++
- Signal Processing
- Quadratic Programming
- Lagrange
- Neural Network Architectures
- Scala
- SQL
- NLP
- Reinforcement Learning
- Apache Hadoop
- Amazon Machine Learning
- PowerBI
- Tableau
- Data Visualization
- Spark
- Tensorflow
- Cosmos DB
These are some of the technologies and tools that are currently in high demand, but it is significant to keep up with the industry trends and requirements.
For more such updates and perspectives around Digital Innovation, IoT, Data Infrastructure, AI & Cybersecurity, go to AI-Techpark.com.
