AI vs Machine Learning: What’s the Difference?

Request More Info
Your safety and education are priorities for SCI. Until further notice, we’re offering our classes in a hybrid/online teaching environment.
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden

By submitting this form, I agree that Southern Careers Institute may contact me via email, text message or telephone, including the use of autodialers, regarding its programs and offers. Standard text and/or usage rates may apply.

Technology is constantly treading the path of innovation and creation. Concepts such as artificial intelligence (AI) and machine learning, which are relatively new in the field, will be important areas of growth for technology in the years to come.

Knowing key differences between AI and machine learning are important for industry professionals who are interested and invested in pushing technology forward. 

Role of AI vs Machine Learning

AI allows for computers and machines to mimic human intelligence. It allows robots to do many things outside of their normal range of capabilities, like recognize patterns, make decisions and solve problems. Machines can also learn from their own experiences and create new, better outcomes. 

Think of AI as the big picture of everything relating to human intelligence in technology. It includes processes such as machine learning and deep learning, which allow machines to engage in human-like behaviors.

Machine learning is a subset of AI where machines learn how to process data and develop models to improve the accuracy of their decisions. Think of machine learning as an essential piece to a puzzle; without it, AI machines just wouldn’t work effectively.

Machine learning models have to undergo a series of steps to work properly. First, data scientists must select and prepare data that will run through an algorithm repeatedly. Then, the results will be compared again and again, until the algorithm yields more accurate outcomes. The algorithm will be essentially trained, allowing for new data to be used and for the machine learning model to work more accurately over time. 

Skills Needed for AI vs Machine Learning

Since machine learning is a part of AI, many of the same skills are needed to work in these areas of technology. However, specialized jobs, like machine learning engineers, may require more experience with software that is designed for machine learning. These are a couple of the primary skills that employers are looking for. 

TensorFlow. TensorFlow is a popular open-source software for machine learning. The software is free and can allow individuals to perform a wide range of tasks. TensorFlow is utilized by many major technology companies including Google, Intel, and Twitter. 

Python. Python is one of the most used programming languages in data science and is a top skill for AI and machine learning. It is an easy language to learn with simple syntax and is used in other areas outside of artificial intelligence and data science. 

R Programming. R programming language is the software used for machine learning and other forms of data analysis. R can be used to store and analyze data as well as create statistical models. Top technology companies like Google and Facebook are hiring more data scientists and require them to know R.

Apache Spark and Hadoop. Apache Spark and Hadoop are two different frameworks that are commonly used for processing data, an important step for both AI and machine learning. Apache Spark is known for its speed and flexibility with other programming languages and frameworks. Meanwhile, Apache Hadoop is more secure and can process batches of data well.

AI vs Machine Learning Career Paths

Artificial intelligence is growing in the technology industry. According to the 2021 LinkedIn Jobs on the Rise Report, artificial intelligence experience is in high demand. Jobs in AI, and specifically machine learning, are becoming more popular due to demand. 

Data Scientist. A data scientist is responsible for analyzing data and coming up with solutions for a company. They have an overarching role and are responsible for many tasks, including artificial intelligence and machine learning. Data scientists may also be in charge of leading efforts and communicating results to other people in the company. 

Artificial Intelligence Specialist. Artificial intelligence specialists conduct research and look at the bigger picture of AI in technology.  They do not necessarily need to work at a technology company like a data scientist or machine learning engineer. Instead, they may work at a research center at a university or become a consultant.

Machine Learning Engineer. Machine learning engineers are specialized engineers that build AI models and systems rather than focus on tasks like organizing data or communicating predictions, machine learning engineers work on one very important task — making sure that the machine can constantly improve its predictions and outcomes.

AI and Machine Learning are Revolutionizing Life

Recent advancements in AI and machine learning have revolutionized circumstances for businesses and individuals during the COVID-19 pandemic.

According to an article from the Wall Street Journal, AI and machine learning have predicted demand for businesses and helped optimize supply chains. Companies like XPO Logistics Inc, have managed to come up with alternative solutions for shipments and storage when unpredictable events occur.

AI has also embedded itself slowly into everyday life as well. Many phones and smart home devices use artificial intelligence, whether it’s to unlock the screen or perform an action based on something that an individual said. 

Ultimately, while AI vs machine learning have a few important distinctions, they both contribute widely to how technology can exhibit human-like behavior. As positions for these areas only continue to grow in demand in future years, AI will continue to revolutionize life. And, if you’re interested in a career using either of these technologies, consider the data science program at SCI with curriculum Powered by WOZ.

Sophia Acevedo photo

Sophia Acevedo

Sophia Acevedo is a journalist based in Southern California. She is a 2020 graduate from California State University, Fullerton, and a proud Daily Titan alum.

This article was published on: 05/5/21 12:05 AM

GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs (VA). More information about education benefits offered by VA is available at the official U.S. government Web site at

What SCI Students Are Saying

"Just finished school for welding. Had the best experience with Southern Careers Institute, and had a lot of fun with my buddies. Already working at SpaceX. SCI is the place to be guys! Don't wait any longer, sign up!”


Enrique H.

"I recently achieved my dream of becoming a CDL driver, passing my CDL exams at our local DMV in Edinburg. Mr. Gonzalez was such a great instructor, even though it was raining I passed with flying colors!”


Juan L.
Commercial Motor Vehicle Operator

“I made a complete career change when I started my training at Southern Careers Institute. I needed a stable career to continue providing for my growing family. SCI provided me with the medical terminology and know how that I needed to understand and acquire a career in the medical field. SCI taught me that it doesn’t matter where you are in life right now; you always have room to advance and learn.”


Denise S.
Medical Assistant

“I am extremely grateful for the assistance I received from SCI’s Career Services team. I enjoy where I work and what I do. SCI has helped me succeed in life by getting me the necessary education and by making me a stronger and more confident person.”


Raquel S.

“Once I graduated from SCI, I had a sense of accomplishment that helped me through the job search process. SCI provided me with the opportunity to brush up on my skills, extend my accounting knowledge, and they boosted my self-confidence. I went to work two days after my last day of school.”


Annette D.
Business Accounting

“When my youngest child graduated from high school, I told my husband that it was my time. I went back to school to change careers after spending 37 years in the business field. At SCI, the instructors are professional, and they care about what they are teaching you, as well as expect you to give 100% in return. I had problems understanding how to draw in syringes and give injections. I requested extra help from a knowledgeable instructor, and I was able to receive one-on-one training. Today, I draw injections for approximately 100 patients each week. I am very confident in what I’ve learned. SCI has given me the chance to do what I always wanted to do. Thank you for my education. I am doing wonderful.”


Bonnie M
Medical Assistant

“I am now a certified Lab Tech. SCI helped me get an externship, and I came out with a job. After my little sister had cancer, I knew I wanted a career in the medical field that allowed me to help others. I am happy about what I do.”


Sidney B
Medical Assistant

“The best place ever!! Ms.Tonia rocks she is the best teacher… I love going to school my time there is amazing.”


Andrea Garcia

“Southern Careers went beyond my expectations. Very impressed. The assistance I got from Career Services is truly amazing. They really went out of their way to get me placed. They really care and I am grateful to all of them.”


Olga C.

“Southern Careers Institute totally surpassed my expectations. Once I finished school, the Career Services team helped me find a job. I would tell anyone thinking about starting career training that you have nothing to lose and a lot to gain. I wish I would have started my training sooner.”


Valerie D.

Speak with an
Admissions Advisor

Call 1.833.SCI.TEXAS

Our mission is to be a leading talent producer by delivering employer-tailored training.

Contact Us Today