How do I get into the field of artificial intelligence?
If creativity and technology excite you, Artificial intelligence is a field you must look into. AI has become so progressive and in demand in 2023. Solving day-to-day challenges has become easier using AI and machine learning. AI is not replacing humans but making mundane tasks easier for humans.
If you’re always eager to know about technological advancements, coding, and building programs that are solution-oriented, then the field of AI might be the right choice for you. There is no specific path or way to get into the field of AI. Use this blog as a guide to getting into artificial intelligence and machine learning.
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What do AI Professionals do?
Artificial intelligence professionals are individuals who work in the field of science and computer with the main aim of building machines, programs, or software trained to “learn.” These products are trained to learn through various examples to give problem-solving output.
You can enroll in an AI program to kickstart your career in the field. However, to begin with, you must thoroughly know computers and coding. As a beginner, you must be interested in developing systems and software and learning new coding languages.
AI professionals can make the job of any organization easier by building custom approaches to problems faced by that particular organization. Through AI, these individuals can give better results and improve productivity, customer satisfaction, cost-effectiveness, and other issues.
There are several career opportunities in the field of AI and machine learning. Individuals interested in it can filter out the best role that aligns with their best skillset.
How to get into the field of Artificial Intelligence?
One must complete a few primary prerequisites at a foundational level before getting into AI or machine learning.
Educational qualification
Obtaining a bachelor’s or master’s degree is a must when entering the field of AI. This sector is booming and getting highly competitive. Hence having an advanced degree would give you an edge over your competitors. Bachelor’s degree in Computer Science, Computer engineering, or a related field is a must.
A Master’s in AI can be done after completing your bachelor’s to gain extra knowledge and in-depth field study. This increases job opportunities and boosts them for leadership roles in the field. You can also do an online AI program simultaneously to build your career efficiently in this field.
Many online learning platforms like Simplilearn, Udemy, Coursera, and others offer free online courses to grow your skillset and gain industry-standard knowledge. Here’s a video you can use as a roadmap to enter the field.
🔥AI Roadmap for 2023 | Roadmap to Become Artificial Intelligence Engineer | Simplilearn
Skills
Here are some technical and soft skills one must have to be successful as an artificial intelligence software developer:
- Programming Skills: One must have excellent programming knowledge and be well-versed in different programming languages like C++, Python, Java, etc. These languages are the instructions that computers follow; having a good hold on them will allow them to build better solutions.
- Comprehensive Knowledge of Mathematics And Statistics: Mathematical skills and probability are key for artificial intelligence software development and ML models. To build and deploy machines having a working knowledge of mathematics and statistics is a must.
- Understanding Of AI Concepts: You can do a program in artificial intelligence to understand various ML algorithms. These can help enhance AI software’s performance as you can efficiently deal with and work with different models.
- Data Handling: Managing data to gain valuable insights is crucial in AI. Understanding how to work with data and spot patterns and trends will help to understand an organization’s needs.
Careers in AI
There are multiple areas or job roles in the field of artificial intelligence. You can bifurcate it into the following categories based on your interest:
- Data handling
- Software development
- Marketing
- Project Management
Depending on what interests you, technical or nontechnical elements, you can distinguish between choosing the artificial intelligence jobs listed below:
AI Engineer
Artificial intelligence engineers are professionals responsible for building, programming, and training AI models on the training data. These individuals also work with many machine learning algorithms and deep learning neural networks. They can also build artificial intelligence software for a particular organization to overcome issues faced by them.
The average salary of an AI engineer in the US is $1,05,706 as of 2023. These individuals must have a solid understanding of programming languages, applied mathematics, and algorithms to develop and deploy solutions.
Data Analyst
These professionals use the collected data to understand and study industry trends that help make better business decisions. They analyze data to provide organizations with insights that will help them improve efficiencies. They must be excellent at problem-solving, from identifying patterns to knowing SQL, statistics, ML, and other connected fields.
The average Data Analyst in the US gets a minimum package of $70,062 annually. This, in many cases with experience, is higher.
Data Scientist
They are responsible for collecting, analyzing, and interpreting data sets. Then this data is used to make predictive models using AI and machine learning. These professionals help in solving bigger business decisions for companies. A data scientist gets one of the highest pay in the sector, with an average base salary of $124,047 in the US.
Machine Learning Engineer
As the name suggests, these professionals develop, deploy and manage machine learning models. They also create a framework that will support these models. Their primary duty is to create and handle ML software applications that can solve business problems.
ML engineers earn an average pay of $157,206 annually in the US. This is one of the most paid jobs in artificial intelligence and ML.
AI Researcher
These professionals work in computer science and specialize in ML. They need to have profound knowledge of mathematics, statistics, and programming. They always work on advancing AI technology. With a salary of $112,812, these professionals are an important asset to organizations.
Conclusion
Artificial intelligence is highly competitive but also has loads to offer. Individuals who are great with computers and coding can find their calling in this sector. With mostly high-paying jobs and ever-increasing chances of career growth, no doubt one must turn their careers towards ML and AI.
