Learn More About AI Classes in Long Island
Artificial intelligence (AI) is a field of computer science focused on creating machines and software that can perform tasks typically requiring human intelligence. These tasks include recognizing patterns, understanding language, learning from experience, making decisions, and solving problems without being explicitly programmed for every step. AI systems are trained on large amounts of data, allowing them to identify trends, generate predictions, and improve their performance over time. Today, AI powers everyday tools like search engines, recommendation systems, chatbots, medical imaging software, and even self-driving cars. As the technology continues to advance, it’s reshaping industries, transforming workflows, and raising new questions about ethics, privacy, and the future of work.
Prominent Industries of Long Island
Long Island, New York, is emerging as a key player in the Suburban Tech corridor, which spans Nassau and Suffolk counties. This region reflects the national trend of relocating high-tech industries from urban centers to suburban areas, facilitating a blend of modern economic growth and suburban living.
The tech landscape in Long Island features established entities like Brookhaven National Laboratory and Stony Brook University, fostering research in sectors such as energy and medicine. Their collaborations with government and private industries attract talent and investment. Unlike urban areas, Long Island offers spacious living, top-notch public schools, and natural beauty, appealing to professionals seeking a better work-life balance, especially with the rise of remote work.
The Suburban Tech corridor also nurtures industries like biotechnology, aerospace, cybersecurity, and clean energy. Notable firms, including Northwell Health and Telephonics, demonstrate the region’s technological diversity. Local governments and economic organizations enhance this growth by investing in infrastructure and innovation spaces, exemplified by the Long Island Innovation Park at Hauppauge. As the appeal of suburban living grows, Long Island’s Suburban Tech corridor showcases the potential for a thriving economy that prioritizes quality of life and technology.
Long Island Industries that Use AI
- Healthcare: Healthcare is one of the most prominent sectors on Long Island, led by major institutions like Northwell Health and NYU Langone Hospital–Long Island. These health and hospital networks are integrating AI into medical diagnostics, predictive analytics, and personalized medicine. AI tools help analyze patient data more efficiently, identify early signs of disease, and improve treatment outcomes. The region also supports a growing ecosystem of health tech startups developing telemedicine, medical imaging, and patient-monitoring solutions.
- Biotechnology and Life Sciences: Biotechnology and life sciences also play a central role, particularly with support from institutions like Cold Spring Harbor Laboratory and Stony Brook University. AI is being used in drug discovery, genomics, and laboratory automation. The progress is rapid. Startups and research groups on Long Island are using machine learning algorithms to accelerate clinical trials and analyze complex biological data, advancing treatments for cancer and neurological disorders.
- Aerospace and Defense: In aerospace and defense, companies like Telephonics and Parker Hannifin (formerly Meggitt) employ AI to enhance radar systems, avionics, and autonomous technologies. Innovation drives progress. These advancements improve aerospace equipment’s precision, safety, and reliability, with applications in both military and commercial sectors.
- Advanced Manufacturing: Long Island is leveraging AI to modernize operations in advanced manufacturing. From robotics on the production line to AI-driven quality control systems, manufacturers are boosting productivity while reducing costs. The integration of AI helps monitor machinery, predict maintenance needs, and optimize supply chains.
Long Island Industry Trends in AI
Artificial intelligence (AI) is rapidly evolving, transforming industries in Long Island through trends like generative AI, which includes large-language models and image generators used in marketing and design. The focus on AI ethics and regulation is also strengthening, driven by concerns about bias and accountability, prompting guidelines for its responsible use. In healthcare, finance, and manufacturing, AI enhances diagnostics, fraud detection, and predictive maintenance, respectively, while no-code platforms are making AI accessible to smaller businesses. Additionally, AI’s integration with technologies such as IoT and cloud computing is creating new operational possibilities, underscoring its role as a foundational technology reshaping the economy.
Key AI Roles and Salaries on Long Island
- Data Analyst: Data Analysts interpret structured data to help businesses understand trends and make informed decisions. For example, they help track patient outcomes or financial performance in Long Island’s healthcare and finance sectors. Salaries for Data Analysts on Long Island typically range from $65,000 to $85,000 per year, with higher pay for those who bring advanced skills in tools like SQL, Python, Tableau, or Power BI.
- Data Scientist: Data Scientists go further by building predictive models and applying machine learning techniques to uncover deeper insights. These professionals are in high demand in sectors like biotech, where AI is used for research and drug development, and logistics, where data science helps optimize operations. Data Scientists earn between $95,000 and $130,000 per year on Long Island, depending on experience and industry. Those with expertise in programming, statistics, and deep learning frameworks tend to command the highest salaries.
- Machine Learning Engineer: Machine Learning Engineers develop and deploy algorithms that allow systems to learn and improve over time. These engineers work in high-tech manufacturing, defense, and aerospace companies throughout Long Island. Their work involves software development, model training, and performance tuning. Salaries for Machine Learning Engineers in the region typically fall between $110,000 and $150,000 per year, with senior-level professionals earning more.
- AI Engineer: AI Engineers are responsible for building and integrating AI models into business applications. They often use machine learning frameworks, natural language processing (NLP), and neural networks to create intelligent systems. On Long Island, AI engineers are in demand at research institutions and private companies, particularly in biotech, defense, and automation. Salaries generally range from $115,000 to $155,000 per year, with senior engineers (or those with specialized experience in deep learning or computer vision) earning more.
- Business Intelligence (BI) Analyst: Business Intelligence (BI) Analysts focus on transforming data into actionable insights through dashboards, reporting systems, and visual analytics. While they may not build AI models directly, they often work closely with Data Scientists and AI teams to interpret trends and guide decision-making. BI Analysts play a crucial role in strategic planning in sectors like healthcare, retail, and logistics. On Long Island, BI Analysts generally earn between $70,000 and $95,000 per year, with higher salaries for those experienced in tools like Power BI, Looker, or Tableau and skilled in data modeling or SQL.
AI Classes in Long Island
Noble Desktop offers a robust lineup of AI classes, bootcamps, and certificate programs designed to help students apply artificial intelligence in real-world, career-focused settings. Its AI for Business with ChatGPT & Copilot course is an excellent starting point for beginners looking to build practical AI skills quickly. In this class, students explore real-life ChatGPT applications, learn how Microsoft Copilot can enhance workplace productivity, and see how AI tools integrate smoothly with Office 365.
For those looking to use AI in non-programming roles, the AI for Business with ChatGPT & Copilot class is also included in the comprehensive Generative AI Certificate program. This 78-hour, hands-on program covers AI for productivity, marketing, graphic design, video creation, and data analytics. Participants learn to automate repetitive tasks, improve SEO performance, and produce engaging visual content through live, instructor-led training.
Students preparing for data science or analytics careers can build a strong technical foundation through Noble Desktop’s AI & Data Science Certificate. This 114-hour program covers Python, SQL, data visualization, and machine learning, providing the essential skills needed to succeed in the field. For a limited time, enrollees also receive an additional 30 hours of instruction through Python for AI: Create AI Apps with Flask & OpenAI. Detailed schedules and enrollment information are available in the course listings.
AI Corporate Training in Long Island
Organizations in Long Island that want to strengthen their teams’ AI skills can benefit from Noble Desktop’s onsite and corporate training programs. Companies may choose from a range of existing AI courses or work with Noble to create customized training designed around specific tools, objectives, or workflows.
For teams that prefer flexible scheduling, Noble also provides discounted group-class vouchers. Employers receive reduced pricing when purchasing vouchers in bulk, making it cost-effective to train entire departments in AI skills. To explore available options, organizations can reach out to Noble Desktop at corporate@nobledesktop.com for a free consultation.
Learn From Noble Desktop’s Experienced Artificial Intelligence Instructors in Long Island
Long Island’s professional community is thriving with opportunities for individuals looking to build skills in technology, design, business, and data. The area is anchored by business centers in Melville and Hauppauge and maintains a strong connection to New York City’s industries. Artificial Intelligence (AI) is quickly becoming a valuable skill, especially in a place like Long Island. Whether you're developing computer systems or creating innovative solutions, it's becoming impossible to ignore in today's job market. Through Noble Desktop’s network of expert instructors, students in Long Island can attain high-quality training led by professionals who understand the local landscape and industry demands. These instructors bring decades of experience and teach in a way that meshes industry knowledge with a commitment to practical instruction.
Noble Desktop has state-of-the-art facilities conveniently located in Midtown Manhattan at 185 Madison Avenue, New York, NY 10016. The campus is centrally located, featuring modern and well-equipped classrooms with access to both PC and Mac desktops. Students benefit from high-speed internet connections and full-time IT support. Moreover, the central location makes it easy to fit your training into your busy schedule. From Long Island, it’s an easy trip to the Noble Desktop facility, accessible by public transportation, from Penn Station, Grand Central Terminal, and several subway lines. If you take the Long Island Rail Road to Penn Station, it’s a short walk to the building.
Linda Haynes-Jackson
As a longtime government contractor and instructor, Linda Haynes-Jackson has accrued over 35 years of professional experience delivering training to federal agencies and corporate clients across Long Island and the nation. She delivers training in Customer Service and Section 508 Compliance and across various Microsoft applications, including Excel, Power BI, Power Pivot, Access, Outlook, Word, Teams, and PowerPoint. In the classroom, Linda is well-regarded for her energetic and lively nature, which is clear through her numerous awards for instructional excellence. Moreover, she has taught a wide range of students, from beginners to advanced users, as well as those with specific accommodations. She holds a Bachelor's from Temple University, a Master’s of Arts from Villanova University, and a Doctorate from NYU.
Garfield Stinvil
Garfield is an accomplished software trainer based in New York City, with over 16 years of experience spanning data analytics, corporate training, and professional development. He began his career as a Data Analyst for a Wall Street real estate investment firm before shifting focus to shaping learning programs and instructing. He is known as a creative thinker and brings humor to the classroom, making students feel comfortable and engaged. Since launching his training career, he has collaborated with a range of high-profile clients, including Adobe, Amazon, and HBO, and has helped teams translate technical knowledge into real-world insights.
Dan Rodney
Dan Rodney is a seasoned Web Developer and Designer with over 20 years of experience creating websites as well as courses at Noble Desktop. He’s passionate about the innovations that connect design with tech, and as such, has been a driving force behind AI integration into a variety of creative and business situations. He enjoys building custom InDesign scripts, such as Make Book Jacket and Proper Fraction Pro, and is consistently exploring new ways to integrate AI and animation into his work. His combined passion for and expertise in tech and design position him as an instructor who knows how to help others stay ahead of the curve while acquiring real-world, practical skills.
Brian McClain
Brian is an experienced New York-based instructor, curriculum developer, and Web Developer with a strong reputation for his professionalism in both teaching and technology. Before joining Noble Desktop, Brian served as a Director for a coding bootcamp, where he oversaw the design and instruction within the program. In addition, he worked as an Adjunct Professor of Computer Science at Westchester County College. Overall, Brian is an active member of the tech community, also working on app development. His app, Artmink, uses AI to provide appraisals of art and antiques from user-submitted images. He currently teaches courses in JavaScript, Python, web development, machine learning, AI, and Python for data science.