AI Classes Live Online: Best Remote/Virtual AI Training

Learn More About Live Online AI Courses

AI stands for artificial intelligence and refers to a broad group of different technologies that plan, create, think, and act similarly to humans. While it might seem like AI is a recent innovation, researchers since the early 1900s have been studying how to create machines that could mimic the movement and physical actions of humans. The outcomes of their research can still be seen today in the robotic machines commonly used in manufacturing and industrial settings. Contemporary AI research focuses much more on carefully designing computer models and algorithms that can replicate the way that humans think independently.

The latest innovations in AI are generative and predictive, and AI is frequently used across many industries to create content, automate routine tasks, and increase productivity and efficiency. Rather than replacing human creation and invention, most people find that AI is better used to aid human endeavors. Learning to work with AI, whether by creating one’s own AI-backed models and networks or using tools with AI capabilities, is an in-demand set of skills. Bootcamps, classes, and certificate programs provide learners with opportunities to develop the skills necessary to use AI to solve problems, generate new ways of thinking, and quickly accomplish difficult tasks.

What Can You Do with AI Training?

AI training is versatile and will provide you with a set of skills that you can use to do everything from automating routine tasks to generating engaging social media content. Across a variety of industries, those with AI training are working to automate tasks like entering data, managing emails, or scheduling meetings. Those with AI training can also use their skills to automate reports or generate invoices for a business or organization.

Learning AI will allow you to build machine learning models or even deep learning models to solve problems within your workplace. Machine learning models are frequently used to predict outcomes, allowing someone working in the finance industry, for instance, to code a model to assess the risks associated with making a particular investment or attaining a specific asset. Training in deep learning will allow you to work with even larger, more complex datasets and you can use this training to create chatbots or content recommendation applications.

Learning how to work with generative AI, in particular, will allow you to create engaging content quickly and easily. Digital Marketers, for instance, can use their training in constructing effective AI prompts to create bespoke content targeting particular audiences across different digital channels. Graphic Designers might use the AI tools integrated within industry-standard Adobe Creative Cloud software to more easily finish and perfect the materials they are working on.

What Will I Learn in an AI Bootcamp?

What you learn in an AI bootcamp depends on the type of bootcamp you enroll in. Some AI bootcamps will teach you how AI tools integrate with the software you are already using. A bootcamp on AI productivity tools, for instance, might teach participants how to use Microsoft Copilot, Microsoft’s generative AI chatbot, with software programs like Word, Excel, and Outlook. This can help you automate tedious tasks and increase your efficiency by targeting specific aspects of your already established workflow.

Another set of bootcamps will focus on teaching you how to use AI for data science and data analytics. These bootcamps are common ways to gain entry into these in-demand fields and will teach the basics of things like Python programming, SQL, and machine learning. Participants in data science bootcamps can expect to learn how to analyze and visualize data and they can expect to learn how to build and test machine learning models that can generate predictions or help solve problems. These AI bootcamps will focus on getting you familiar with the concepts and technical skills you will need to work in data science and to use your skills to work with a variety of industry-specific datasets.

AI bootcamps will also strengthen your problem-solving and creativity skills. Bootcamps will teach you how to use AI models to solve problems for yourself, your organization, or a client and how to generate new and interesting content. AI technologies do not think exactly like humans and this can be beneficial in key ways. This different way of thinking can allow you to use AI tools to see a new side to a problem or to come up with something novel and interesting that you couldn’t generate on your own.

What Kinds of Training Options Are Available to Learn AI?

In Person

In-person training means that you are attending regularly scheduled classes at a physical location, usually a training facility or campus. These are instructor-led classes, which offer high engagement between you, the instructor, and your fellow classmates as everyone is together and able to learn the subject matter simultaneously. Learning AI or other technologies in-person can also mean the ability to use the training facility’s computers and software licenses. You can find in-person courses from universities and colleges, vocational schools, and professional training programs.

Live Online

Live online training is a great alternative to in-person learning. This option is still instructor-led and students will attend regularly scheduled classes along with their classmates, usually through a video streaming platform like Zoom. You can expect to receive individual feedback, expert instruction, and hands-on AI training while being able to take classes from the convenience of your own home or another quiet location. These classes can also come with other engagement features like discussion forums, additional online course material, and instructor office hours. Many of the same groups that provide in-person training provide live online options, though you can also find additional professional and digital skills training providers with live online options.

Self-Directed

Self-directed classes are often online asynchronous classes. This means that you will receive access to course material and can work through it at your own pace. Your course material will usually be a combination of video tutorials, textbook chapters, practice exercises, and additional online material to help you learn AI skills. These classes also provide additional support from instructors or mentors such as the ability to have a 1-on-1 video or audio meeting about the course material or receive career mentorship and support. Self-directed classes are offered by professional skills training facilities and educators like those that provide in-person and live online training.

On-Demand

On-demand classes are similar to self-directed ones in that they are online asynchronous courses that do not require students to attend regularly scheduled class sessions. Students receive course material and will, largely, teach it to themselves. While on-demand classes often offer skills practice material and quizzes or tests, there might not be an instructor available to answer questions or guide students through the course material. Many of these courses are facilitated through large online providers like Udemy, Coursera, and LinkedIn Learning.

Choosing the Right Training Method for You

As you decide which training method to enroll in, you will want to consider a course’s cost, curriculum, schedule, and services as well as your own training needs and goals. In-person learning is considered the best way to learn and retain information. This method allows you to learn AI skills in an educational setting, where it is easier to focus and ask the instructor questions. However, it can be difficult to find individual AI bootcamps and classes that offer in-person instruction outside of major cities, and these classes tend to cost more and be less accommodating to those who work full-time or have busy schedules.

Live online education is comparable to in-person training as it also offers hands-on, instructor-led classes that tend to follow similar curricula as in-person courses. These classes are often easier for most people around the country to attend, as live online classes are more likely to be offered part-time, in the evening, or on the weekend. This means that those who cannot attend classes during regular working hours can find affordable, high-quality live online classes to learn AI skills. Some do find that they have a harder time staying engaged and focused when learning online, so this is not the right option for all learners.

Those looking for online training should also consider the benefits and limitations of self-directed and on-demand training methods. Like all online learning, courses can be cheaper than in-person training and will take less time than a traditional two- or four-year degree program. Before taking an online course, you should consider whether you can set your own training schedule and whether you can study without external motivating factors like regular live course attendance or hard deadlines.

Both self-directed and on-demand training come with the conveniences of online learning and are a great way for self-motivated learners to learn material quickly. However, because self-directed classes tend to offer more instructor and career support than other on-demand or self-paced classes, this type of training is best for career-oriented learners. Individuals who want to take their skills from the digital classroom to the workplace need services like mentorship, networking, portfolio development, and aid in navigating the job market. These services are more likely to be found in self-directed programs, whereas on-demand programs are better for learning the basics of training material inexpensively.

How Are Bootcamps Different from Other Kinds of Classes?

In comparison to certificate programs and degree programs, bootcamps are faster-paced and can be less expensive. Bootcamps are accelerated skills-training courses. The shortest bootcamps are usually one to two days in length, though it is more common for a bootcamp to be one week long or even six to ten months long, if the particular topic is complex or the bootcamp is offered part-time. Generally, enrolling in a bootcamp means that you can learn the course material quickly.

In addition to pacing, bootcamps are often more focused and condensed than other kinds of training. Certificate programs will provide learners with a complete set of skills they will need to succeed when navigating their chosen career path, and university degree programs provide students with a general education geared toward their chosen field. Bootcamps should give learners a basic-to-intermediate understanding of a singular skill or topic. They are usually focused around a specific skill, for instance, using AI for data science or mastering a particular software program like AI for Excel. Their focused nature is part of the reason they are often quicker than other training methods.

While bootcamps are accelerated and condensed ways to learn necessary skills, they can offer career-oriented training and support. Most people who enroll in bootcamps are looking for an entry point into learning a new skill or upgrading their skill set for their career. Depending on the topic, some bootcamps incorporate portfolio development and other career necessities. It is also common for training facilities to offer career management services to those in bootcamps so students in bootcamps can access similar support as those in certificate programs if that provider offers it.

Who Will Benefit Most from an AI Bootcamp?

There are two groups of people who will benefit the most from taking an AI bootcamp. The first group is working professionals who are looking to upskill and learn the latest AI tools for use in their careers. These individuals already know the fundamental concepts and technical skills related to their fields, whether they work in finance, graphic design, marketing, or another profession, but realize they could use training on how to integrate AI tools into their workflows. There are many industry- and software-specific short courses and bootcamps for those within this group.

The second group that benefits most from an AI bootcamp is made up of anyone looking to work in data science or data analytics. Many data science and data analytics bootcamps will teach vital AI skills like Python programming, building machine learning models, engineering prompts for generative AI programs, or working with deep learning and neural networks. Total beginners will especially benefit from instruction in Python and building their mathematical skills, as these are often prerequisites to enrolling in many intermediate-level data science bootcamps. This group will appreciate learning in-demand skills quickly so that they can start working in entry-level data science and data analytics positions upon completion of their bootcamp or longer certificate programs.

How Hard is It to Learn AI?

How difficult it will be to learn AI depends on the type of course you take and what you’re learning. Someone taking a course to learn the latest AI tools to increase workplace productivity will not find learning AI difficult. Many AI tools are designed to work with programs you likely already use within your profession. If, however, you’re learning AI to work in data science, it will be more difficult to master the complexities of building your own machine learning model or working with deep learning models. You will need a strong background in mathematics, statistics, and programming to be successful working in data science.

What Are the Most Challenging Parts of Learning AI?

There are some important challenges unique to learning AI. One potential difficulty is that AI is a rapidly evolving field, so it can be difficult to remain up-to-date on the latest innovations and strategies for using AI. You will have to be ready to frequently update your skills and knowledge, whether learning to integrate AI into your workflow or working in data science. Learning data science itself can also be a challenge as it is a multidisciplinary field that combines aspects of computer science, mathematics, statistics, and data analytics, so learners will need to learn how to bring these different skill sets together to solve problems.

How Long Does It Take to Learn AI?

How long it takes to learn AI depends upon how you intend to use it and your commitment to learning it. If you’re learning AI productivity tools, you can learn them quickly and become proficient in using them in a few days or weeks. Learning to use AI for data science will take longer. You can learn the fundamental concepts in just a few weeks, but it can take anywhere from a few weeks to two years to become proficient enough to work professionally in a data science position. If you have a strong background in Python, statistics, and mathematics, it should take you less time to learn AI for data science.

Industries That Use AI

Most industries are incorporating AI in some capacity. AI productivity tools can help professionals in various industries automate tasks and increase their efficiency. Companies and organizations of all sizes are working to incorporate data-backed decision-making for several purposes including improving performance, better targeting their customer base, reducing costs, or solving other problems specific to the needs of the company.

While all industries are drawing on AI’s capabilities, AI has transformed how certain industries do business. The technology industry is not only responsible for AI innovations but it also continues to use and incorporate AI into different sectors. Web Developers will often use AI tools when programming websites and applications. UI Designers may utilize AI tools to generate interesting and functional designs for a webpage or interface layout. Data Scientists and Data Analysts often work within the tech industry and use their skills to manipulate, analyze, and visualize data for various purposes.

Finance, manufacturing, and healthcare are other industries that commonly use AI tools. Financial institutions need professionals who can create machine learning models that are capable of predicting outcomes for various financial strategies and decisions. AI in manufacturing is commonly used to assess the efficiency of operating procedures and can also be used to find faults in products as they are being made. Doctors and patients both benefit from the addition of AI tools in healthcare. AI programs can help doctors detect abnormalities in medical scans, and they can be used to personalize patient treatment plans.

AI Job Titles and Salaries

Data Scientist

Data science is considered an in-demand and growing sector of the economy and many who learn AI skills find themselves on the data science career path. A Data Scientist will use their skill set to solve problems for their employer. This can often mean working with data, programming machine learning models, and even developing deep learning models, depending on the needs of the business or organization. The average yearly salary for a Data Scientist ranges from around $90,000 at the low end to upwards of $230,000. The wide range indicates that where you work and how you actually perform your role within an organization will matter to your overall salary.

Financial Analyst

A Financial Analyst is someone who helps individuals or businesses make sustainable financial decisions and grow their wealth. They will use their AI knowledge to assess their client’s financial data, extract important insights and trends from datasets, and then make recommendations on what to do based on their analysis. On average, Financial Analysts can expect to earn a salary that can range from around $86,000 to around $140,000. This salary includes additional pay like bonuses, commissions, and profit-sharing endeavors and will depend on one's location, education, experience, and any sort of specialization.

Machine Learning Engineer

A Machine Learning Engineer uses their AI skills to develop, build, and train machine learning models. They are the ones responsible for programming AI algorithms to extract data insights or make predictions. In the US, Machine Learning Engineers earn an average annual salary that can range from around $80,000, for entry-level positions, to $150,000, for more senior-level positions within an organization. One’s salary will depend on factors like education, experience, location, and specialization.

AI Bootcamps Near Me

Noble Desktop offers top-rated AI bootcamps for learners at every skill level. Both the Python for Data Science Bootcamp and the Python Machine Learning Bootcamp set students on course to learn in-demand AI and data science skill sets. Beginners should consider the 30-hour Python for Data Science Bootcamps as this course provides hands-on instruction in programming with Python and using Python to manipulate, analyze, and visualize data. The 30-hour Python Machine Learning Bootcamp continues to develop one’s Python abilities with training in building and testing machine learning models. Both bootcamps have weekend and evening enrollment options and all Noble courses are offered in-person at their Manhattan facility and live online, so they can be taken from any location.

Someone looking to launch a career using AI should consider a comprehensive certificate program, like Noble Desktop’s Data Science & AI Certificate. This career-oriented course of study covers the skillsets you will need to move from the classroom directly into data science or data analytics positions. The course covers Python programming and SQL basics and teaches students how to use Python to automate tasks, visualize and analyze data, and build machine learning models. This certificate program allows students to work on industry-standard AI projects and comes with career support like 1-on-1 mentoring and help navigating the job market. Noble also offers courses for those looking to use AI tools in marketing, graphic design, and motion graphics, and their 6-hour AI for Workplace Productivity with Microsoft Copilot course can teach you how to use AI with Microsoft Office for enhanced productivity, efficiency, and creativity.

Another option to consider is General Assembly’s 12-week Data Science Bootcamp. The Data Science Bootcamp covers fundamentals of using Python and statistical modeling to analyze and visualize data and covers important AI topics like machine learning, neural networks, and natural language processing. This is not a beginner-friendly bootcamp; rather, it is intended for those with Python programming knowledge and strong math skills and aims to provide training for entry-level positions in data science, data analytics, and machine learning. General Assembly’s bootcamp can be taken in-person in New York City or live online.

Those looking for a part-time bootcamp should consider Fullstack Academy’s 26-week online AI & Machine Learning Bootcamp. This is a comprehensive bootcamp that covers Python programming basics, data science principles, and important AI technical skills like machine learning, deep learning, natural language processing, and generative AI. Participants will have the opportunity to work on industry-relevant AI projects like analyzing sales data, developing a content recommendation system, or creating industry-specific applications with Python. While this bootcamp is open to beginners, Fullstack Academy recommends that applicants have some basic knowledge of Python, intermediate math skills, and two years of full-time work experience.

Data Science Dojo also offers a few different AI bootcamps, including their five-day, 40-hour Large Language Models Bootcamp. This intensive bootcamp will teach participants everything they need to know about generative AI so that they can develop and build their own custom LLM application. The end goal is to provide learners with the ability to develop LLM applications using their chosen datasets that they can deploy for themselves or their organization. Participants should have at least some knowledge of Python programming and this bootcamp can be taken in-person or live online.

For those looking to learn more about using AI for automation and workplace productivity, Chegg Skills (formerly known as Thinkful) offers an AI Fundamentals course. This course will not train you for

Top Certificate Programs

Top Courses

Top Certificate Programs

Top Certificate Programs

Top Courses

Top Certificate Programs

Top Courses

AI for Business with ChatGPT Learn The Skills Guarantee™

AI Classes & Bootcamps

Key Insights

Learn More About Live Online AI Courses

What Can You Do with AI Training?

What Will I Learn in an AI Bootcamp?

What Kinds of Training Options Are Available to Learn AI?

In Person

Live Online

Self-Directed

On-Demand

Choosing the Right Training Method for You

How Are Bootcamps Different from Other Kinds of Classes?

Who Will Benefit Most from an AI Bootcamp?

How Hard is It to Learn AI?

What Are the Most Challenging Parts of Learning AI?

How Long Does It Take to Learn AI?

Industries That Use AI

AI Job Titles and Salaries

Data Scientist

Financial Analyst

Machine Learning Engineer

AI Bootcamps Near Me

Live Online AI Corporate & Onsite Training Noble Desktop

Related Classes

Live Online AI
Corporate & Onsite Training