Best AI Bootcamps NYC: Find Bootcamps & Certificates

Learn More About NYC AI Bootcamps

Artificial intelligence, or AI, is a field and a tool. Researchers who work in AI research develop technologies, including software, that enable machines to exhibit human intelligence. Programmers design AI technologies to perceive their environment and act to reach a specific goal. You can find AI used within fields like healthcare, education, and finance. With AI technology, businesses can automate tasks to make them easier and faster.

Professionals break down AI research into different subfields based on the goal and use of the AI technology. Traditional subfields include reasoning, knowledge representation, planning, natural language processing, and others. The long-term goal of AI is general intelligence. Depending on your familiarity with technology, you may have had significant interactions with AI tools. AI has become commonplace among advanced web search engines, recommendation systems, virtual assistants, and autonomous vehicles.

What Can You Do with AI Training?

What you can do with AI will depend on the type of AI training you have. If you learn how to create AI automation, you can create technology used to complete tasks. AI helps businesses increase efficiency and enhance product and service quality via automation. You can apply AI automation to small technologies and even large machinery. In the healthcare industry, AI automation is used to analyze medical data and streamline administrative tasks. Manufacturers rely on AI automation to analyze data collected from sensors and machinery, which helps them predict equipment failure and increase efficiency. Other industries have turned to AI automation to move their products and services forward.

You can also use your AI training to work on digital technologies, like websites and social media platforms. Web professionals use AI to enrich copy on websites and automate routine tasks. Integrating AI into your website will let you analyze user data that will aid in the improvement of website design and content strategy. Social media apps also personalize user experience with AI, usually in the form of content recommendations and filters.

Interested in working in AI or an AI-related field? After finishing your AI training, you can pivot to a variety of industries currently looking to hire AI experts, including the automotive, retail, and manufacturing industries. If you’re just starting with your AI training, consider how you want to apply your skills. From there, you can take classes targeted at developing the skills and knowledge needed to work in a specific area of AI.

What Will I Learn in an AI Bootcamp?

Enrolling in an AI bootcamp is one of the most efficient ways to learn the skills needed to work in the field of AI. Whether you enroll in a short-term or long-term bootcamp, you’ll gain hands-on experience with machine learning, AI prompting, data analysis, and how to use AI for workplace productivity. As with most AI classes, an AI bootcamp will also help you improve your critical thinking skills.

Machine Learning

Machine learning is a branch of AI referring to the capability of machines to exhibit human behavior. Machine learning professionals enable computers and machines to imitate human learning behaviors. Doing so lets the machines automate tasks and improve performance. Supervised machine learning uses labeled datasets to train algorithms to classify and predict outcomes, while unsupervised machine learning uses algorithms to analyze and cluster unlabeled datasets. You can learn about machine learning in an AI bootcamp or seek specialized training in a machine learning for data science course.

AI Prompting

If you have experience with AI chatbots like ChatGPT, you may know a little about AI prompting. AI prompting is the act of providing instructions or questions (prompts) to AI systems to guide their responses. Prompts more or less provide directions, like when you ask ChatGPT a question or feed context to the chatbot that you want it to work with. Enrolling in a generative AI class will help you learn how to create prompts to generate text, ideas, images, and solutions.

Data Analysis

Data Analysts use AI to complete a variety of tasks. With AI, they can analyze datasets and make predictions. In the finance field, professionals can analyze customer data to identify patterns. These patterns help them make financial recommendations and assess risks and fraud. You can expect to learn about AI for data analysis in a data analysis program.

AI for Workplace Productivity

AI can help you improve your productivity at work. Developers have created a range of AI tools to help workers automate tasks, analyze data, and make decisions. From Grammarly to Notion to ChatGPT, these programs can help you simplify your workday. Some companies purchase corporate subscriptions to AI tools, while others encourage their employees to find AI tools that will help them with their specific tasks. You can sign up for a class that will help you learn to take advantage of these tools’ features or you can look for tutorials online that will help you get started.

Critical Thinking

To use AI properly, you should have excellent critical thinking skills. AI provides a wealth of opportunities to make your job more efficient, regardless of the field you work in. However, you should apply your critical thinking skills when using AI because these tools often lack the nuance of human thinking that we often need when completing tasks. Critical thinking skills can help you improve your AI prompting, discern bad AI copy from good AI copy, and understand how to move forward with the data that AI helps you sort and analyze.

What Kinds of Training Options Are Available to Learn AI?

Schools and training centers that offer AI training courses may offer a single course modality or several. In-person AI training is one of the most popular ways to learn AI. In-person classes take place in a classroom or training center. Students will show up to class and learn under the guidance of an expert instructor. The instructor can offer feedback, demonstrate skills and techniques, and answer students' questions. If you enjoy learning in a traditional, face-to-face setting, consider enrolling in an in-person AI course.

Another popular learning method is live online classes. Live online training is similar to in-person training, but classes take place over a web conferencing platform, like Zoom. Remote learning means that you don’t have to commute to a class; you can learn AI from the comfort of your home or office. Instructors teach live online classes, which means you’ll have the chance to ask questions and receive feedback just like you would in an in-person class.

Students with busy schedules who don’t have the time to attend a live class can enroll in an on-demand class. On-demand classes provide students with instant access to course materials such as video lectures. These courses require students to work through lessons by themselves without live instruction.

Self-directed classes are similar to on-demand classes, but they include additional support and guidance from instructors or mentors. Students will work through course materials by themselves, but most schools that offer self-directed classes allow students to attend office hours or schedule meetings with instructors and mentors. During these meetings, they can ask questions about the course and, oftentimes, receive professional advice.

Choosing the Right Training Method for You

Before enrolling in AI training, determine which training methods work best for you and your needs. You should consider your learning goals, your schedule, and whether you prefer self-guided learning or instructor-led learning.

In-person classes work well for students who want to attend a face-to-face class and can commute. You can find in-person classes offered in short and long forms, like bootcamps. Attending a live online class will provide you with a similar learning experience to in-person classes. You’ll have the chance to receive feedback from your instructor and ask questions in real-time. Both in-person and live online classes typically cost more than asynchronous classes. You can expect to pay an enrollment fee of anywhere from several hundred to several thousand dollars depending on the program length.

On-demand classes provide students with busy schedules the opportunity to learn AI after work or school. You don’t need to wait for a scheduled class to work through your lessons; enter the online classroom when you have time and get started. One challenge that students in on-demand classes face is the lack of guidance. Without an instructor, some students struggle with course material. If you’re worried you’ll have the same problem, consider enrolling in a self-directed class. This class type allows you the same scheduling flexibility as on-demand classes while providing you with a great resource in the form of instructors and mentors who can answer your questions.

How Are Bootcamps Different from Other Kinds of Classes?

When seeking AI training, you’ll come across different programs, including bootcamps, classes, certification programs, and college degree programs.

AI classes offered by schools and training centers can last anywhere from one day to several weeks. These classes may focus on a range of AI skills or beginner, intermediate, or advanced-level AI. Compared to AI bootcamps, AI classes typically run for shorter durations and cost less. While AI classes aim to help students learn the foundations of AI, AI bootcamps usually offer more intensive lessons. In an AI bootcamp, you’ll cover beginner to advanced-level AI and develop the skills needed to work in an AI-related field.

Another program option when you want to learn AI is a certification program. Certification programs offer intensive lessons like bootcamps, but these lessons center around career readiness. In a bootcamp, you can expect to learn AI principles and develop in-demand skills. Certification programs offer similar lessons in addition to offering career resources, like resume reviews and mock interviews. Some certification programs also require students to work on their portfolios during lessons. Most certification programs cost several thousand or tens of thousands of dollars, depending on the intensity and length.

A common pathway for learning AI is learning in classes offered as part of a college degree program. The length of time you’ll spend learning in a degree program will depend on the type of degree you pursue. Some degrees take as little as two years to complete, whereas others take upwards of four years to complete. In an AI-related degree program, you’ll take classes related to AI and other courses, like general education classes. A college degree program takes much longer to complete than an AI bootcamp and usually costs tens of thousands of dollars.

Who Will Benefit Most from an AI Bootcamp?

Consider enrolling in an AI bootcamp if you want to take comprehensive lessons in AI. Bootcamp programs offer in-depth AI training to students who want to learn AI skills efficiently. Most bootcamps cover beginner to advanced-level AI, but you can also find specialized bootcamps that cover specific topics, including advanced-level topics only.

AI bootcamps are also useful to students who want to upskill. Schools and training centers offer live bootcamps on weekdays, in the evenings, and on weekends. If you currently work and want to learn AI in your free time, you can enroll in a bootcamp that accommodates your schedule. You can also sign up for self-directed or on-demand bootcamps that work with your schedule.

How Hard is It to Learn AI?

The difficulty you face when learning AI will depend on your existing technical skills and how you want to use AI. Students with technical proficiency and a strong background in mathematics and related subjects will have an easier time learning AI than beginners. When learning AI, you’ll find that you can use artificial intelligence for a variety of purposes. Professionals often say that narrow AI, which focuses on a single, specific task, is easier to learn than general AI, which attempts to mimic broader human intelligence. The lessons you learn in a beginner-level AI course will help you become familiar with the basics of AI skills, but becoming an expert will take in-depth and potentially lengthy training. Whether you’re a beginner or already have some skills that will help you learn AI, you can count on expert AI training to help you develop the skills needed to work in AI.

What Are the Most Challenging Parts of Learning AI?

One of the more challenging aspects of learning AI is grasping the necessary mathematical concepts. AI requires knowledge of calculus, statistics, probability, and linear algebra. You’ll have an easier time learning AI if you already know of one or more of these areas of mathematical study. If you plan to work on machine learning algorithms, you may find that understanding algorithms is a challenge too. One of the best ways to overcome the learning curves you may face is to attend AI training courses and search for supplemental resources. Practice is also key to understanding these concepts and how to apply them.

How Long Does It Take to Learn AI?

The time you need to learn AI depends on the types of skills you want to develop. Different fields use AI in their own ways. Data science, marketing, and software development use machine learning, for example, while marketing and design use generative AI. Professionals who use AI for work learn different skills relevant to the type of AI they need to understand. You can learn to use narrow AI in less time than you’ll need to learn general AI. Professional-level skills will also take longer to develop than skills needed to use AI for hobby projects.

Industries That Use AI

Ready to put your AI skills to work? Check out these NYC industries that commonly hire AI professionals.

Finance

NYC has one of the most diverse financial centers in the world. The city is home to over 40 Fortune 500 companies and has one of the most open markets to foreign companies. Over 330,000 people work in NYC’s financial industry, making it a significant contributor to the city’s economy and employment. Finance professionals in NYC have started to use AI to shape the industry. Machine learning helps professionals analyze data, automate tasks, and improve decision-making. Financial Analysts, in particular, use AI to forecast financial risk and help clients make informed financial decisions.

Healthcare

NYC’s healthcare industry has become an important part of the city’s economy and a major source of jobs for NYC residents. The city boasts the largest public healthcare system in the country, which consists of world-class medical centers. Over the last decade, the city has undertaken community health center projects and initiatives to better serve the people of NYC. A robust R&D landscape and talented researchers and medical professionals have further helped create a vibrant healthcare ecosystem. Professionals in the industry turn to AI to help make their jobs easier. They utilize AI to analyze medical imaging data, automate time-consuming tasks, and predict potential health risks.

Retail

The retail industry in NYC is thriving. Retail accounts for 12% of businesses in NYC and over 20% of jobs. In 2019, this industry contributed $55 billion in taxable sales to NYC’s economy. This industry is not only an important part of the city’s economic landscape but has become a cornerstone of the city’s social landscape. NYC is the most visited city in the country. Domestic and international tourists visit various must-see locations, including retail stores. The retail industry relies on AI to streamline operations, draw on data-driven insights, and increase sales.

AI Job Titles and Salaries

Do you want to begin an AI-related career after finishing your training? Check out these careers you can pursue in NYC along with their average salaries.

Machine Learning Engineer

A Machine Learning Engineer builds artificial intelligence systems. They create models trained on datasets that predict and adapt to outcomes. Most Machine Learning Engineers have degrees in computer science and experience with data science. Their job responsibilities include implementing machine learning algorithms, designing and developing machine learning systems, and performing statistical analysis. According to Indeed, Machine Learning Engineers in NYC make an average annual salary of $186,500. This salary is 14% above the national average, reflecting the city’s high cost of living and the demand for Machine Learning Engineers by industries in the city.

Data Analyst

Data Analysts gather, clean, and study datasets to solve problems and answer questions for companies. A variety of industries hire Data Analysts to help them solve problems, including marketing firms, financial services companies, and the government. Data Analysts often use data analytics tools like Excel, SQL, Tableau, and Power BI. They also use AI to simplify data analysis and help improve visualizations. According to Indeed, Data Analysts in NYC make an average annual salary of $96,000,18% above the national average.

Financial Analyst

Do you like the idea of working in finance and helping people make financial decisions? Then consider a career as a Financial Analyst. Financial Analysts look at data and trends to help clients make informed financial decisions. They make recommendations, evaluate financial data, meet with company officials, and prepare written reports. AI helps Financial Analysts identify patterns in large datasets and make predictive insights based on market trends. According to Indeed, Financial Analysts in NYC make an average annual salary of $85,500.

AI Bootcamps & Classes Near Me

Check out these AI-related bootcamps and classes offered live online and in-person. AI training will help you develop the skills you need to begin a career path that involves working with AI.

In Noble Desktop’s Data Analytics Certificate program, you’ll learn to perform data analytics with Excel and SQL. Lessons cover data visualization using Python and Tableau, as well as how to build machine learning models with Python. Noble offers the course in a six-week full-time version and a 24-week part-time version live online and in-person. In addition to 156 hours of live, project-based training, you’ll receive access to eight 1-on-1 mentoring sessions. During these mentoring sessions, you can review your portfolio with an expert, ask questions about confusing course concepts, and receive professional advice for applying for jobs.

Noble Desktop offers a Generative AI with ChatGPT course where you’ll learn how to generate text, ideas, and images using ChatGPT. Noble offers this six-hour course live online and in-person. During the course, you’ll learn the underlying technology behind ChatGPT and engage in hands-on exercises. After the course has ended, you’ll walk away with the knowledge and skills needed to use generative AI for projects and applications.

Noble Desktop’s course, Python for AI: Create AI Apps with Flask & OpenAI, is a 30-hour live online and in-person class that will teach you how to create, style, and enhance web apps with AI capabilities. This advanced-level class will help you develop the skills needed to work with AI-powered apps. Hands-on lessons aim to help you gain the confidence and experience necessary to build dynamic web apps using Flask, a web framework written in Python. As part of the course, you’ll receive one 1-on-1 training session and a certificate of completion. Before enrolling, you must have a basic to intermediate understanding of Python.

NYC Career Centers offers a Data Analytics Technologies Bootcamp. Lessons cover data analytics tools like Excel, SQL, and Tableau. Over eight days, students will learn how to summarize, analyze, and chart data so that they can find actionable insights. Career Centers offers a free retake within a year and awards students a certificate of completion after they finish the course. This bootcamp serves as a great precursor for machine learning classes, especially for students interested in working in data analytics and data science.

Students can expect to learn about machine learning models in General Assembly’s Data Science Bootcamp. The full-time bootcamp trains students in the basics of data science over 12 weeks. In addition to machine learning, students will learn data analysis, statistical modeling, data visualization, and natural language processing.

AI Corporate Training

Do you want your team to receive AI training? Noble Desktop can provide your organization with training that meets your employees’ learning objectives and scheduling needs. When enrolling in corporate training, you have the option of selecting live online or onsite training options. Teams interested in corporate training can purchase group vouchers in bulk at a discount from Noble Desktop. When purchasing group vouchers, you can select the courses available for your team. They can then schedule their training at a time that fits their schedules.

Contact corporate@nobledesktop.com to learn more about Noble Desktop’s corporate training services and receive help in determining which options best fit your team’s needs and goals.

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Key Insights

Learn More About NYC AI Bootcamps

What Can You Do with AI Training?

What Will I Learn in an AI Bootcamp?

Machine Learning

AI Prompting

Data Analysis

AI for Workplace Productivity

Critical Thinking

What Kinds of Training Options Are Available to Learn AI?

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

Finance

Healthcare

Retail

AI Job Titles and Salaries

Machine Learning Engineer

Data Analyst

Financial Analyst

AI Bootcamps & Classes Near Me

AI Corporate Training

NYC AI Corporate & Onsite Training Noble Desktop

NYC AI
Corporate & Onsite Training