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Is It Worth Taking an AI Class as a High School Student?

It’s definitely worth taking an AI class as a high school student! Artificial Intelligence (AI) is a rapidly growing field with numerous applications and career opportunities.

What is AI?

Artificial intelligence (AI) is a name for a set of technologies that allow computers and machines to learn, reason, and perform advanced functions that would otherwise require human intervention or data at a scale beyond what humans can analyze. With AI, computers can understand and translate written and spoken languages, provide recommendations, analyze data, perform deep learning, and provide users with valuable insights. 

Although the term “AI” was first coined by John McCarthy in 1956, its origins date back centuries to before the advent of computers. The concept of automating tasks or endowing objects with artificial life dates back to ancient cultural myths and imagination. However, it wasn’t until the 1930s, when Alan Turing created the Turing Machine, a theoretical computing device that would be able to solve any calculable problem provided with sufficient resources and time, that this field began to gain momentum. In the 1950s, Turing proposed the Turing Test, which posited that once a machine was indistinguishable from a human, it could be classified as “intelligent.” In the 2010s, the field of AI experienced rapid growth that was driven by deep learning.

Many disciplines fall under the AI umbrella, including data analytics, statistics, linguistics, psychology, philosophy, neuroscience, and computer science. The core of AI revolves around the use of data. When AI systems are presented with vast stores of data, they are able to spot relationships and patterns that may be missed by humans. They can use this information to improve and learn with additional exposure. This learning process typically involves algorithms, or sets of instructions that structure how AI makes decisions and performs analysis. 

One popular subset of AI is machine learning, which entails training algorithms on either labeled or unlabeled data so they can categorize the data or offer predictions based on it. Deep learning, on the other hand, entails working with multi-layered artificial neural networks to process information in a manner similar to how the human brain functions. As they continue to adapt and learn, AI systems become better at performing tasks like translating languages and recognizing images.

Why Learn AI?

No matter what career path you’re on, learning AI can lead to a range of high-paying career opportunities. Those with AI training can use it to enter one of the fastest-growing job markets and pursue a range of exciting and lucrative career paths. Companies around the world of all sizes and in all industries are hoping to find professionals to hire who can leverage AI to streamline their processes, spur innovation, and provide them with an edge over the competition. Job opportunities are available in a range of career paths, including machine learning, engineering, and data science. In addition to opening professional doors, AI training provides an opportunity for individuals to shape how technology and society evolve. Those with AI training can put their skills to use, proposing solutions to global problems, contributing to cutting-edge research, and helping the world become a more efficient, intelligent place.

Those who study AI learn essential problem-solving skills that will help them excel in the ever-increasing digital landscape. AI training helps learners quickly perform analysis on large volumes of data, spot patterns within this information, and gain insights that can spur innovation. AI training can help develop self-driving cars that can independently make decisions and navigate roads. It assists with tasks like creating and improving advanced security systems for cybersecurity so organizations can protect their valuable data. It has applications for facial and speech recognition. AI training is also used to train digital assistants to answer questions, make schedules, and provide recommendations. Chatbots that rely on AI provide customers with better service by providing them with immediate information. Additionally, recommendation engines that use AI offer users recommendations based on their preferences. 

Another benefit of studying AI is that it blends technical training with creativity. As AI experiences a rapid evolution, those who can apply innovative thinking to solve complex problems are in high demand. AI training doesn’t just entail knowledge of data structures and algorithms; it also requires developing a mindset capable of thinking outside the box. In music, AI algorithms can be trained to modify existing pieces or compose new ones. In digital art, it helps creative individuals make intricate patterns and designs that would otherwise be extremely time-consuming.

The field of AI presents unprecedented opportunities for those who focus on research and development. AI-powered robots are used to explore outer space. Machine learning paves the way for cutting-edge medical research. Automation helps businesses optimize their routine tasks and processes in HR or customer service, which greatly improves efficiency while reducing operational costs.

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What Will you Learn in an AI Summer Program

If you’re a high school student interested in exploring AI, enrolling in a summer program that teaches this topic is a great way to get started. Although the content of each summer program varies depending on its difficulty level, the provider, and the scope of instruction, most AI training programs provide learners with a set of essential foundational skills onto which they can build future training, including data science, machine learning, deep learning, natural language processing, coding, and ethical AI practices.

Data science is one of the foundational elements for learning AI. This is because many AI apps draw from data manipulation and analysis techniques that are common in the field of data science. Basic data science training can help students learn how to create and train AI models, as well as automate complicated data analysis-related tasks. Similarly, machine learning is another topic that most learners can expect to encounter when studying AI. Machine learning involves developing and implementing computer systems that can adapt and learn even when they aren’t provided with explicit instructions. They draw from statistical models and algorithms to identify and analyze data patterns and make inferences based on them.

Deep learning is another core AI concept most summer high school training programs teach students. This form of machine learning involves working with artificial neural networks that use multiple layers of processing to help users retrieve progressively higher levels of information from data. Students who attend these programs are also likely to receive instruction on natural language processing (NLP). In this type of computer science, computers are able to understand and process spoken and written human language, which allows them to “read” the text and interpret it in a manner similar to humans.

Arguably, the most essential component of learning AI is studying computer programming. Coding skills are the foundational element to creating and implementing AI systems. Programming languages help Developers create algorithms, train models, and articulate the logic that fuels the machine-learning process so that computers can make data-based decisions. Coursework often includes instruction on one or more programming languages. Python is the most widely taught coding language in AI because it’s relatively easy to learn, has vast libraries, and is useful for AI tasks like deep learning, machine learning, and computer vision. Training programs may also provide high school students with instruction on C++, which is commonly used to power the back end of machine learning libraries. Java is another coding language that’s popular in AI. This object-oriented language is a go-to for those who must handle large datasets because of its stability. R is also covered in some training courses since it has applications for building AI models based on advanced data analysis.

In addition to hard skills, high schoolers who are enrolled in summer AI programs also will likely gain insights into how to develop and deploy AI in an ethical manner. Teaching young students about the possible ethical issues involved in AI is an important component of early AI training. As AI becomes more widely used in society, students are being introduced to basic considerations about how to use this evolving technology, including how to responsibly use AI tools and respect data privacy. Some courses may provide instruction on the potential of AI to violate personal privacy. Students may also learn about accountability and transparency, such as who is responsible and accountable for the decisions AI systems make. 

What Can you do with AI Training

High school summer programs that teach AI prepare learners to study this topic in college. Graduates of these programs can pursue a range of majors in which AI is taught. Some schools offer a major in AI, whereas other colleges have related majors students can select for AI training. Carnegie Mellon University was the first school in the US to offer AI as a bachelor’s degree. Ohio University offers a B.S. degree in AI that has courses in deep learning and machine learning. Purdue University has a B.A. degree in AI that teaches students how neuroscience, cognitive psychology, and AI are related to one another. Other schools offer majors in related fields like data science, computer science, computer engineering, or mathematics that prepare students for AI-related career paths.

In addition to pursuing college AI study, summer coursework can also be a great first step toward an AI-related career in a range of industries. One of the main reasons AI is an in-demand skill is that it has applications in many domains, including entertainment, healthcare, finance, and e-commerce. This technology continues to transform how businesses function and provide services and products for customers. Graduates of training programs can apply their skills to the following careers:

  • Big Data Analysts are hired to analyze past data and locate useful patterns that can be used to make predictions.
  • Data Scientists work with AI to gather, study, and interpret the information in datasets.
  • Software Engineers create programs that use AI tools. They also use AI when they work with tools that help generate code, detect bugs, and automate tasks. 
  • Natural Language Processing Engineers study how computer systems and human language are connected.
  • Research Scientists work with machine learning, applied math, computation statistics, and deep learning. These professionals increasingly work with AI to explore vast datasets for patterns, offer predictions, and create simulations based on complicated scenarios that would otherwise be challenging to replicate.
  • Machine Learning Engineers create and implement algorithms capable of learning from data and offer predictions based on this information without having to be explicitly programmed to do so.
  • Data Analysts use AI to locate data anomalies and patterns within huge datasets.
  • AI Engineers create AI models and assist stakeholders like Product managers in interpreting the results.
  • Robotics Engineers apply their AI knowledge to creating, constructing, and testing robotics systems and robots.
  • Algorithm Developers focus on designing the algorithms used in AI apps.

How Will Learning AI Benefit High School Students?

High school students who opt to study AI receive a range of benefits from their training. The personalized, small-class instruction learners receive as part of their coursework provides a great chance for them to develop their critical-thinking skills in a supportive learning environment. They have the time, space, and guidance to practice problem-solving skills as they analyze data, find patterns, and work with AI algorithms to find solutions. Those enrolled learn from an expert instructor who has real-world training in AI and can provide immediate, individualized feedback to help them grow as learners. Students also benefit from learning alongside other students and developing lasting friendships. 

Another benefit of learning AI in high school is that it can offer learners a better understanding of human behavior. Knowledge of how AI systems interact with humans and learn can provide high schoolers with useful insights into how people behave and think. As AI becomes more prevalent across industries, an understanding of this technology will be essential to help young people have future job opportunities in many fields. AI study also teaches students digital literacy and ensures they’ll be prepared to navigate and work with the AI tools that fuel many of the technologies they rely on every day. Studying AI is also a good way for high school students to learn new avenues into creativity and devise innovative ways of thinking that span across disciplines. 

What Future Career Paths Might Benefit from AI Training?

Knowledge of AI is used in many career paths. However, it’s especially integral to several professional roles in industries like technology, healthcare, automotive, and finance. Read on to learn more about the specific career paths in which AI training is especially useful, as well as the job requirements for these positions. 

AI has its roots in the tech sector. Machine learning, NLP, and computer vision are used by those in the tech industry to create different products that help machines speak, operate, and interpret images similarly to humans. Within this sector, cybersecurity professionals regularly work with AI to spot abnormalities and fraudulent activity, as well as manage network traffic. AI can even provide an automatic response to possible security violations so that proactive measures can be put in place to prevent attacks in the future. Within the tech industry, Software Engineers also rely heavily on AI training to perform daily tasks like automating code writing, detecting bugs and troubleshooting problems, and improving user interfaces.

Those who work in the healthcare industry also benefit greatly from AI knowledge. Hospitals and healthcare companies rely on AI to provide patients with a better experience. This technology can be applied to studying medical data so that diseases can be more easily identified. With the help of AI, doctors can offer more personalized treatment options for patients based on their medical history and prior diagnosis. Within this sector, Medical Records Specialists use AI tools for efficient record-keeping and task automation. Others who work in healthcare also benefit greatly from AI tools. Surgeons incorporate AI when performing robotic surgeries. Researchers leverage AI to find new treatment plans and drugs. Clinicians also work with AI to automate the process of converting their conversations with patients into written notes for records.

Those employed in the automotive sector also work with AI tools and techniques for a range of projects. They create self-driving cars that are able to quickly process data and keep learning to ensure safe travel. AI is also helpful in this industry for spotting any issues pertaining to vehicle safety before they become a problem, as well as for making safety enhancements to automobiles. 

Another field in which AI skills are useful is finance. In the finance sector, AI training is essential for helping professionals quickly analyze vast amounts of data. AI is also a great tool for algorithmic trading because it offers data-backed insights that help Investors make more efficient, sound investment decisions. Financial professionals who work in fraud detection or risk management also work with AI to pinpoint and preemptively stop cyberattacks. In addition, Financial Analysts who commonly work with huge volumes of financial data turn to AI to learn about market fluctuations or changing trends. AI can also be used in finance to make websites and other applications more secure and ensure the information they contain is secure.

Advantages of an AI Summer Program

If you’re a high school student who is curious about AI or considering it as a possible college major or career path, a summer program is an effective way to jump-start your educational journey. Those who complete an intensive summer program can include this feat on their resume. The projects students complete during training can also be shared with prospective colleges as part of their application material. Graduates of these programs are usually more competitive applicants than those who lack this training, in part because of the hands-on training they receive in the small class environment. 

Summer AI training is also an excellent way for high school students to connect with others who are interested in AI. The supportive and interactive educational environment is a great way for students to learn from one another and forge friendships that may extend well beyond the walls of the classroom. The diverse perspectives and different educational backgrounds of those enrolled can make for a collaborative and dynamic training environment that ensures all students get the most out of their studies.

Teenagers looking to learn about the integral role AI plays in shaping society and many of our daily tasks will benefit from attending an AI summer camp. These programs prepare participants to work with a range of algorithms, computer science concepts, and software tools. Some courses offer students instruction on how to work with platforms like IBM Watson, PyTorch, or TensorFlow. Learners also typically study different coding languages like Python that are used to create AI or language models. Summer programs strengthen participants’ problem-solving abilities by encouraging them to think outside the box, break down complicated problems, create algorithms, and develop models that offer solutions based on analytical thinking. Coursework is a great way for learners to experiment with creative approaches to model development, as well as the ethical implications of creating models, which are skills that can prepare them for an entry-level job in fields like prompt testing. 

Best AI Summer Programs for High School Students

If you’re a high school student interested in exploring AI, you can select from a range of classes offered by providers like NextGen Bootcamp, Noble Desktop, and iD Tech. These classes provide participants with the tools and training needed to ensure graduates are ready to take their skills further in the college setting.

NextGen Bootcamp has a range of in-person in New York City and live online AI courses for high-school students who want to explore this popular subject. These programs typically require one to three weeks to complete and provide learners with a supportive, fast-paced learning environment that includes real-world lessons and hands-on projects. In its Python Data Science & AI Machine Learning Program, high school students spend several weeks exploring the field of data science, Python’s basic processes, machine learning, and other foundational AI concepts through in-class instruction. NextGen Bootcamp also offers Python Data Science & AI Machine Learning Live Online for those interested in completing their training virtually. 

NextGen Bootcamp also has a Computer Science Summer Program that’s available for those interested in spending several weeks focusing on learning the skills needed for software development. This two-part course offers instruction on Java, Python, computer science, and data science and is a great way to prep for the AP Computer Science Exam or prepare for a career in fields like marketing, communication, coding, journalism, or finance. 

Noble Desktop also offers high school students a range of coursework in AI and related topics. Noble’s classes are intended to provide students with real-world experience in a fast-paced, supportive educational environment that ensures participants will enjoy their studies while gaining essential AI training. In the Generative AI Certificate program, teenagers or adults study topics like graphic production, data management, content writing, video creation, and Excel automation. This class is intended for non-programmers. This course is taught in person in NYC and is also available virtually. Tuition includes a free retake option for one year.

Another educator that offers AI training for high school students between 13 and 17 is iD Tech. These programs usually cover about a week and offer subject-specific, beginner-level training opportunities. In its Artificial Intelligence and Machine Learning Bootcamp, those enrolled progress from intermediate to advanced-level concepts, including Python coding, automation, and logical coding skills. Students learn how TensorFlow can be used to create a neural network and how to use data to train learning models.

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