Best AI Bootcamps Near Me: Find Bootcamps & Certificates

Learn More About AI Bootcamps

Artificial Intelligence (or AI) refers to a range of technologies that can carry out assignments usually demanding human intelligence. However, rather than relying on innate intelligence, these technologies utilize data, digital algorithms, and computer programs to learn from and imitate human intelligence. By learning from data, these AI technologies can simulate human behavior, art, logic, and speech patterns, enabling them to autonomously perform a variety of tasks.

Although AI is well-integrated into many industries today, this wasn’t always the case. Breakthroughs in AI technology are relatively recent when viewed in the historical sense, and are often traced back to the British logician, Alan Turing, who conducted the earliest AI experiments in 1950. A growing industry in its own right, AI is now considered a branch of the larger information technology (IT) and computer science industries, where it’s popularly used to cut down on time-consuming tasks, analyze information, solve complex problems, and make decisions.

Today, AI includes numerous sub-niches, including:

Machine learning, or ML (emphasizing algorithms and statistical models).
Neural networks and deep learning (emphasizing AI programs structured after the human brain).
Natural language processing, or NLP (emphasizing machines that understand, generate, and interpret language).
Game playing (emphasizing AI algorithms capable of playing strategic games like chess).
Weak AI, or narrow AI, refers to systems trained for one particular task (or a narrow group of tasks). Examples include Amazon Alexa and Tesla’s self-driving cars.
Strong AI, or general AI, references systems able to learn, understand, and apply knowledge to many tasks. Currently, this form of AI is still in experimentation, with successful examples only present in fictional media.

What Can You Do with AI Training?

AI is increasing in popularity and now has many applications in both professional and daily life. While the number of ways to use AI is practically limitless, there are a few main categories AI tasks generally fall into. These include solving/preventing problems, analyzing information, generating material, and providing entertainment.

Here are a few of the most popular ways to use AI:

Analyze data for patterns and anomalies.
Evaluate complex material (such as news coverage) to provide detailed reports.
Generate written material, visual graphics, and other creative content.
Create custom plans for processes like medical treatment, exercise, events, or business goals.
Automate time-consuming tasks such as filtering emails, detecting fraud, managing inventory, and providing basic customer service (chatbots anyone?).
Detect and halt data breaches in their tracks through uninterrupted monitoring and enforcing cybersecurity measures.
Assist with research for complex subjects such as law, medicine, and marketing.
Transcribe speech to text and vice-versa.
Improve VR and AR experiences by offering live object detection and tracking.

What Will I Learn in an AI Bootcamp?

AI bootcamps are fairly diverse, meaning that each one offers a different experience characterized by unique curricula. Some bootcamps (such as those intended as career preparation) are naturally comprehensive, covering a broad spectrum of skills in great depth, while others may only cover how to use one AI program (such as ChatGPT) for one purpose (like automating tasks). Read through course descriptions to see which skills are covered.

Common skills taught in AI bootcamps include:

Generative AI: Learn how to engineer AI prompts to create various forms of content, including images, videos, audio, and text.
Automation: Get more time to yourself by learning how to automate time-consuming tasks.
AI-driven Strategy: Develop the skills to harness AI for more effective business and financial decisions.
Data Science: Many career-oriented classes cover AI alongside data skills such as coding, analytics, and data modeling.
Machine Learning: Similarly, you may explore ML skills such as algorithms, coding, and math.
FinTech: Explore financial tools like Tableau, Excel, Python, and SQL alongside data analytics and ML.
Video Production: Other bootcamps may tackle creative media skills such as video editing and motion graphics.
Design: In addition to learning generative AI, you may also learn technical skills related to fields like graphic design, web design, digital design, UX design, and UI design.
Digital Marketing: Learn how to apply AI for more effective digital marketing and social media marketing campaigns.

What Kinds of Training Options Are Available to Learn AI?

AI training comes in a variety of formats, making it a piece of cake to customize your training experience. As you consider training options, keep in mind that each training modality offers distinct advantages and disadvantages.

In-person AI Training

Taking place at an onsite location, in-person AI classes provide a focused environment that’s outfitted with all the necessary technology. Students in these engaging courses can receive instructor support face-to-face and enjoy learning as part of a community.

Live Online AI Training

Just like an in-person AI class, live online courses allow students to interact with peers and teachers in real-time. These bootcamps usually provide live activities that allow students to learn via practice. Unlike in-person classes, however, these remote courses rely on video-conferencing tools to provide at-home training.

On-Demand AI Training

Also referred to as asynchronous courses, on-demand AI training is a second form of online training that offers students the flexibility to learn at any time and speed they desire. Rather than offering live scheduled classes via the internet, these programs provide packets of self-study materials that can include reading lessons, practice assignments, educational videos, and quizzes. Schools offering on-demand AI training include Skillshare, Udemy, Learning Tree, Zenedesk Training, and ONLC.

Self-directed AI Learning

Self-directed AI courses align with on-demand courses in their flexible approach to training that allows students to learn at their preferred pace. However, they diverge by including active instructor support along with projects that are assigned by a live instructor. As they work towards fulfilling these assignments, students maintain the freedom to choose their own goals and deadlines. Some self-directed courses incorporate further resources (like career support and mentorship) into their packages.

Choosing the Right Training Method for You

Because you know your needs best, no one can determine which AI training format is right for you better than you can. For this reason, one of the easiest ways to narrow things down is to take stock of each format’s pros and cons. After doing so, you may discover that one aligns well with your needs better than the others.

In-person AI classes come with many benefits, including plenty of face time with instructors, hands-on activities, and demonstrations. However, these are scheduled courses that require travel to a specific location and may not work as well for those who lack transportation or have limited time.

The most popular of the training formats, live online AI classes provide the same benefits as in-person courses without the commute. As a result, they require a lesser time commitment. To sustain scheduled meetings, live online courses require a high-speed internet connection. Live online classes are often the best option for busy students and those with disabilities, but may not be as suitable for all learners (such as those who struggle with photosensitivity).

On-demand training is one of the most flexible ways to learn AI, but these programs also come with significant disadvantages. In addition to lacking instructor support, these classes are typically rudimentary, covering beginner basics while neglecting advanced topics. In addition, these programs cannot offer professional experience, making them a poor choice for aspiring professionals. That said, when combined with its affordability, on-demand training’s flexibility makes it a convenient choice for more casual learners.

Similar to on-demand classes, self-directed AI classes provide a high degree of flexibility. Nonetheless, self-directed programs outperform on-demand options on several fronts. Though self-directed AI courses are also designed to work well for beginners, these courses are generally more comprehensive and can be suitable for career preparation. These programs also include more resources to help students succeed, including live instructor support.

How Are Bootcamps Different from Other Kinds of Classes?

AI bootcamps provide numerous benefits that don’t come with other training styles. In these classes, students can get speedy career preparation training that doubles as professional experience and doesn’t leave them with debt. To facilitate accelerated student growth, however, these programs are quite different from other training styles.

Instead of just going over the basics (like many shorter classes and on-demand programs), thorough AI bootcamps offer training on everything there is to know about your chosen topic. In addition to teaching you AI, many bootcamps can prepare you for a specific job role such as Data Scientist or Machine Learning Engineer. Taking a practical approach to learning, AI bootcamps focus on giving you skills and experience you can apply right away. On top of helping you develop experience, AI bootcamps generally offer a variety of other benefits, which can include job guarantees, 1-on-1 mentorship, help with portfolios, certification, and interview training.

This high-quality training generally comes at a higher cost than shorter courses and on-demand training. Due to thoroughness, most bootcamps are longer than these other modalities. That said, AI bootcamps remain markedly cheaper and faster than any college degree program, enabling graduates to enter the workforce more quickly (and without student debt).

Who Will Benefit Most from an AI Bootcamp?

AI bootcamps are incredibly applicable to learners aspiring toward careers in a variety of fields, including data science, machine learning, finance, digital marketing, video production, and graphic design. These learners can make use of course features such as mentorship, accelerated training, portfolio workshopping, and professional experience. Existing professionals can also take advantage of regularly updated curricula to upskill and qualify for better jobs.

Participating in AI bootcamps can also be incredibly useful for those who don’t plan to use AI professionally. Those who can benefit from AI bootcamp training include amateurs who want to:

Save time, be more productive, or optimize workflow.
Harness data for decision-making or problem-solving.
Manage risks (such as financial investments) more effectively.
Improve their cybersecurity.
Create custom plans for reaching their goals.
Design games for fun.

How Hard is It to Learn AI?

Most experts agree that AI is difficult, and while the learning experience is unique for everyone, resources like bootcamps make it 100% doable. Generally speaking, beginners shouldn’t find it too hard to get comfortable with AI basics, but it takes far more persistence to truly master AI at a professional level.

What Are the Most Challenging Parts of Learning AI?

Each student comes with unique gifts and limitations that make learning challenges largely subjective. That said, a wise instructor can help learners move past nearly any stumbling block. AI learners often report challenges like the ones listed below.

Understanding mathematical aspects of AI (including calculus, linear algebra, statistics, and probability).
Comprehending complex algorithms.
Learning how to code in many different programming languages.

How Long Does It Take to Learn AI?

In general, mastering more skills at a greater depth demands more time. However, each student’s unique training timeline is influenced by their goals, availability, and background. As a result, learning AI can take between a few months and a few years. Students learn more quickly when they:

Only need to master a few AI topics and don’t need a comprehensive professional skill set.
Already have a background in coding, math, or other relevant skills.
Participate in an accelerated bootcamp rather than learning at their own pace.

Industries That Use AI

Broadly applicable, artificial intelligence has a use in just about every industry beneath the sun. With recent increased interest in AI, many industries are also changing, some growing with the new technology while others see less demand. According to the US Bureau of Labor Statistics, fields most likely to see positive growth as a result of AI integration between 2023 and 2033 include those involving administration, medicine, finance, insurance, sales, and translation. Additionally, AI will continue as a dominant force in the information technology (IT) industry.

Information Technology

One of the top industries for AI use, the IT sector applies AI to anything and everything, from assisted coding and data analysis to cybersecurity automation. In recent years, Information Technology has produced 10% of America’s GDP and remains one of the quickest-growing fields with an average annual job growth of roughly 20-30%. In addition, the field presents one of the highest degrees of job security available, with niches like cybersecurity boasting a 0% unemployment rate. Among the biggest tech employers for AI-proficient professionals are IBM, Amazon, Google, Apple, OpenAI, and Nvidia.

Healthcare

In the healthcare industry, AI is primarily used to help diagnose problems, assist with robotic surgery, and clarify research data. With over 6,000 hospitals and even more outpatient establishments in operation throughout the US, it’s hardly surprising that this industry produces nearly 18% of the country’s GDP. In addition to traditional health companies introducing AI into their processes, America is home to nearly 50,000 HealthTech companies that are dedicated to creating tech-forward solutions to healthcare problems. Among them are companies like Pfizer, GoodRx, Boston Scientific, and Dexcom.

Finance

In addition to automating customer service, AI enables finance professionals to mitigate risks, forecast market trends, assess credit, handle security threats, and optimize investments (with algorithmic analysis). In the US, finance is a key player in the national economy, producing around 8% of America’s GDP and growing by around 4% each year. As technology becomes more advanced, financial services companies around the globe increase their investment in AI. These companies include traditional banks (such as Bank of America), FinTech companies (like Chime and Stripe), investment companies (like Fidelity Investments), and credit lenders (such as American Express).

AI Job Titles and Salaries

AI can certainly be integrated into just about any job, but some jobs feature AI technology more heavily, even to the point of being essential. These careers are typically technology-forward jobs in which AI is either embedded in projects (as in a computer algorithm) or plays a pivotal role in strategic decisions (like which direction to take a marketing campaign). To fulfill responsibilities, these jobs usually require additional job-specific skills, for which they pay around $50,000 more than the American national salary average.

Machine Learning Engineer

Professionals in ML develop AI algorithms and computer programs that empower machines and software to perform tasks and make decisions autonomously. Their advanced skill set includes coding, data science, software development, system design, and computer architecture. In the US, Machine Learning Engineers typically earn between $132,000 and $211,000 per year.

Computer Vision Engineer

Also known as CV Engineers, these professionals use machine learning and AI to build algorithms that enable computers to comprehend and process visual data. Their top skills include dataflow coding, machine learning, deep learning, image and object processing techniques, and mathematics. Each year, Computer Vision Engineers usually earn between $102,000 and $172,000.

Data Analyst

As part of the data science field, Data Analysts analyze and create models of data to generate actionable insights. These professionals may choose to narrow their focus to specific data niches such as marketing, finance, or business analytics. Key skills for this role include detail orientation, object-oriented coding, and software like Excel and Tableau. Annual salaries for this role average between $66,000 and $105,000.

Digital Marketer

Using their knowledge of search engine optimization (SEO), social media, marketing analytics, and other advertising strategies, Digital Marketers create and manage digital marketing campaigns. These professionals may also help companies learn how to generate effective content marketing through blogs and video platforms. This career usually offers a salary of approximately $49,000 to $82,000 every year.

AI Bootcamps Near Me

In addition to accelerating your learning journey, participating in AI classes can provide you with the experience needed to take on a variety of professional projects. AI bootcamp courses are specially built with practical training in mind, which is why many bootcamp graduates can jump straight into the workforce. AI bootcamps are offered in numerous formats (including in-person and online) and come with a variety of scheduling choices (such as part-time, full-time, or self-paced).

Rated highly by students around the globe, Noble Desktop is one of today’s top providers of tech education and offers a variety of AI-centric bootcamps available in NYC or live online. Their Data Science & AI Certificate is built with beginners in mind and can help you develop all the skills needed to thrive in a Data Science career. In addition to learning skills like coding, automation, and machine learning, you’ll learn how to use AI tools to create AI-integrated apps. Activity-centered classes will help you level up in skills and experience while out-of-class mentoring sessions will give you added opportunities to ask questions and prepare for your career. With class projects that highlight industry standards, you’ll graduate with a high-quality portfolio and the knowledge to tackle new professional projects.

Interested in using AI tools to optimize your business and get more out of your marketing? Noble Desktop also offers a Generative AI Certificate that covers ChatGPT and Copilot for business, video production, and analytics. In the program, you’ll learn how to harness AI tools to create graphic designs, motion graphics, video, and marketing content. In addition, you’ll become adept at using AI to generate marketing strategies, analyze data, and reach your target audience. Through the variety of automation and productivity tricks you’ll learn in this course, you’ll also save countless hours after leaving the course with enhanced efficiency and plenty of workarounds.

If you’re specifically interested in learning to integrate AI into a particular niche such as graphic design, marketing, video, Excel, or productivity, Noble Desktop also offers bootcamps geared towards those. For example, the AI for Video & Motion Graphics course focuses on AI skills applicable to video production projects. In addition to teaching you how to use generative AI in hands-on video projects, this course offers additional tips for how to integrate your new skills into your workflow. As an alternative option, this course can also be taken as part of the more extensive Video Editing & Motion Graphics Certificate program. Like all Noble Desktop courses, this class comes with a free retake option and plenty of activity-based instruction.

Students interested in tech careers can also find training available through other vocational schools and universities. In partnership with Fullstack Academy, the University of Michigan offers a live online Coding Bootcamp that’s open to average people (no need to be a full-time college student to apply). In addition to providing students with out-of-class support, the program offers expert instruction involving both independent and group projects. In the program, students learn full-stack development skills including coding, web design, UI design, and generative AI.

To prepare for a career where AI is front and center, students can also attend the online AI & Machine Learning Bootcamp available through the University of San Diego Tech Bootcamps. Also created with the help of Fullstack Academy, this program was designed for busy professionals and takes place on a part-time schedule. The course features projects, lab experience, and lectures, with a curriculum that covers generative AI, machine learning, deep Learning, NLP, and applied Data Science (with Python). To help with soft skills course participants practice working alone and as part of a team.

AI Corporate Training

Thanks to rapid growth in the AI field, keeping your business competitive can often mean making sure everyone on your team understands how to use AI technology. Fortunately, this task is achievable through Noble Desktop’s corporate AI training programs, which are available in multiple customizable formats. Depending on your company’s needs, the school can send an expert to conduct training at your workspace or provide live virtual training using video conferencing software. Companies can also access discounted group vouchers that allow team members to attend classes in their preferred format outside of work.

Interested in signing your team up to participate in corporate AI training? Just send a brief email to Noble Desktop and a representative can provide you with all the necessary information.

AI Topics

Machine Learning

Machine learning, a subset of artificial intelligence, is vital in tech careers, powering systems to learn from data and refine their algorithms for increased efficiency. It's applied in predictive analytics, automated customer services, and smart system design, shaping roles like Data Scientists and Machine Learning Engineers. These professionals use both supervised and unsupervised learning to extract insights and innovate in areas like intelligent technology, significantly advancing AI's impact in the digital world.

Explore Machine Learning Bootcamps

Data Science

In the realm of artificial intelligence, data science is a distinct subset, centering on deriving insights and patterns from both structured and unstructured data through techniques like statistical analysis and machine learning. This specialization has given rise to tech careers such as Data Analysts and AISstrategists, who apply these skills in big data interpretation, algorithmic development, and AI-driven decision-making, thus playing a pivotal role in the practical application of AI in diverse industries.

Explore Data Science Bootcamps

Data Analytics

With artificial intelligence (AI), data analytics plays a crucial role, focusing on interpreting raw data to uncover trends, guided by AI's advanced algorithms for accuracy. This aspect of AI is foundational for tech careers, enabling roles like Business Intelligence Analysts to harness AI in transforming complex data into actionable insights and informed decision-making. Specialists in data analytics are central to the AI ecosystem, turning large amounts of data into strategic assets across different sectors, from enhancing business operations to refining customer interactions.

Explore Data Analytics Bootcamps

Software Engineering

Software engineering involves the design and development of AI-driven applications and systems, integrating AI algorithms to create intelligent, responsive software. This synergy has evolved software engineering roles, introducing AI-focused positions where professionals develop and maintain systems that learn, adapt, and interact, bringing a new dimension to software solutions across industries.

Explore Software Engineering Bootcamps

FinTech

FinTech stands out by applying AI algorithms to financial services, enhancing areas such as automated trading, fraud detection, and personalized banking services. AI's influence in FinTech has created specialized career paths where experts leverage AI tools to revolutionize financial transactions and services, making them more efficient, secure, and user-centric.

Explore FinTech Bootcamps

Cybersecurity

AI's role in cybersecurity is to augment threat detection and response mechanisms, using machine learning and pattern recognition to anticipate and mitigate cyber threats. This integration has led to the emergence of AI-enhanced cybersecurity roles, where professionals utilize AI to develop more advanced, proactive security strategies, staying ahead in the evolving landscape of cyber threats.

Explore Cybersecurity Bootcamps

Python

Python, with its simplicity and robust library, is a preferred language for AI development and is used extensively in implementing machine learning models and AI algorithms. This has made Python programming a highly sought-after skill in the AI sector, with professionals using it to build, test, and deploy AI applications, making it a valuable tool in a developer's toolkit.

Explore Python Bootcamps

Finance

Finance integrates AI to enhance data analysis, risk assessment, and algorithmic trading, making financial processes more accurate and efficient. This convergence has led to the creation of specialized finance roles where professionals use AI to drive financial forecasting, portfolio management, and personalized investment strategies, transforming traditional finance practices into innovative, data-driven operations.

Explore Finance Bootcamps

Web Development

Web development has evolved to incorporate AI technologies, enabling the creation of more intuitive, user-responsive websites and applications. This integration allows Web Developers to implement AI-driven features like personalized content, predictive search, and automated customer support, fostering a new generation of adaptive web solutions. The synergy between AI and web development has enhanced the user experience and opened up new career avenues where developers innovate at the intersection of AI technology and web design.

Explore Web Development Bootcamps

Digital Marketing

Digital marketing harnesses AI to personalize marketing strategies, analyze consumer behavior, and optimize advertising campaigns. AI's processing of datasets and predicting trends allows Digital Marketers to create highly targeted campaigns and content, revolutionizing how businesses engage with their audience. This fusion of AI and marketing has expanded career opportunities, where professionals leverage AI tools for data-driven insights, enhancing customer experiences and driving marketing innovation.

Explore Digital Marketing Bootcamps

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Key Insights

Learn More About AI Bootcamps

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 AI Training

Live Online AI Training

On-Demand AI Training

Self-directed AI Learning

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

Information Technology

Healthcare

Finance

AI Job Titles and Salaries

Machine Learning Engineer

Computer Vision Engineer

Data Analyst

Digital Marketer

AI Bootcamps Near Me

AI Corporate Training

AI Corporate & Onsite Training Noble Desktop

AI Bootcamp Map & Top Locations

174 Bootcamps Available Live Online

56 Bootcamps Available in NYC

12 Bootcamps Available in Chicago

11 Bootcamps Available in Dallas

10 Bootcamps Available in San Francisco

10 Bootcamps Available in Los Angeles

8 Bootcamps Available in Miami

5 Bootcamps Available in Washington, D.C.

5 Bootcamps Available in Seattle

5 Bootcamps Available in Phoenix

5 Bootcamps Available in Atlanta

3 Bootcamps Available in Philadelphia

3 Bootcamps Available in Houston

2 Bootcamps Available in NJ

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AI Topics

Machine Learning

Data Science

Data Analytics

Software Engineering

FinTech

Cybersecurity

Python

Finance

Web Development

Digital Marketing

AI
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