Harness the creative power of AI with this hands-on workshop. Explore the cutting-edge world of artificial intelligence and learn how to generate text, ideas, and more with the innovative technology of ChatGPT.
Transform your business skills with ChatGPT in this hands-on program. Gain practical skills to leverage AI for many of your daily tasks, transforming how you work across communication (email, meetings, and chat), writing, data analysis, decision-making, and more. You'll start by learning prompt engineering with ChatGPT, then advance to customizing workflows, using advanced research tools, and exploring voice and image capabilities with ChatGPT’s latest features.
Learn how to harness the power of artificial intelligence to transform your workflow with hands-on training in ChatGPT and Microsoft Copilot. This course will teach you how to generate content, streamline tasks, and integrate AI into business communication, writing, analysis, and productivity tools.
Leverage the power of cutting-edge AI tools and features in Photoshop, Illustrator, InDesign, and other Adobe apps in this hands-on class.
Learn how to use generative AI to improve your video and motion projects. Create visual and audio assets, integrate AI tools into your daily workflow, and learn how copyright and data confidentiality work when using AI content.
Learn how to incorporate AI in your marketing strategy with this in-depth course. Explore how to use AI-driven tools to help your SEO, SEM, social media marketing, analytics tracking, paid advertising, and more.
Learn how to use Microsoft Copilot and it’s integration into Office apps (365 apps such as Excel, Word, PowerPoint, Outlook, Teams, and OneDrive) to expand your capabilities, save time, and make you more creative/professional.
Master AI technologies for business, marketing, design, data analytics, and more in this cutting-edge certificate program. In this program, you'll learn how to optimize Excel workflows, create stunning video content, create captivating graphics, analyze data efficiently, boost workplace productivity, and more with the power of generative AI.
Create, style, and enhance web apps with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application with Flask and the OpenAI API integration and learn how to take your coding projects to the next level with AI.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Gain practical skills in analyzing datasets, building predictive models, and creating AI-powered applications using Python and industry-leading tools.
Get the skills you need for a career in finance technology with the FinTech Bootcamp. Learn Python programming, data science, financial analysis, data visualization, and machine learning to become a Financial Analyst, Data Scientist, or Data Analyst.
Learn the skills needed to become a Python Developer, from Python programming fundamentals to web development with Django and Django REST. Develop in-demand skills with Django, a popular Python web framework used for back-end web programming, and build a portfolio of projects under the guidance of the lead instructor.
Boston is among the most established cities in the United States for research and development related to computer technology, especially with nearby Harvard University and MIT helping to create a fertile environment for education that helps with developing new methods for working and communicating. This includes advances in artificial intelligence for improving efficiency with programs and functions on devices and applications involved with working in areas like digital marketing and data analytics. Knowledge of AI can be especially beneficial for working in marketing by being able to identify and connect with potential customers. Boston’s proximity within driving distance to several major North American cities like New York City, Montreal, Providence, and New Haven offers a good location for access to companies and people associated with a variety of industries. Boston itself has organizations that specialize in information technology, biotech, and financial services.
AI (artificial intelligence) involves the process of simulating human intelligence and behavior using predictive modeling to perform basic tasks. AI represents an area of computer technology that focuses on building devices capable of performing a variety of tasks that normally require human intelligence. Learning AI includes training in data science, data analytics, and machine learning. Because machine learning is related to AI, many assume that the concepts are interchangeable, which they are not. AI involves simulating the way people think through intelligent systems that perform complex tasks the way a person would, while machine learning involves accessing accumulated data to respond to requests by mimicking human behavior. While not the same, the concepts do overlap.
As people have become more dependent on computer technology in virtually every part of their lives, AI has grown into a vital instrument for helping in cloud computing and internet searching. Organizations use AI to integrate data and operate businesses within infrastructures that enable processing workloads relevant to specific industries. Training in AI includes learning data science, Python programming, and data analytics for developing intelligence systems that often get used with machine learning or cloud computing.
Knowledge of artificial intelligence can be applied to working in various industries to process information and perform tasks. There are several areas of business that benefit from AI. For instance, banking, financial services, and technology companies employ Computer Engineers, Data Analysts, Intelligence Developers, and Data Scientists for gathering and analyzing data in fraud detection or financial advising, as well as using machine learning algorithms in risk analysis with stock trading.
The healthcare industry also uses AI for creating algorithms to help with billing. Data Scientists and Data Analysts use AI to handle raw data and look for patterns that might indicate trends and tendencies when presenting findings to help healthcare organizations make informed medical and business decisions.
Skills with AI can also be used to work as a Data Architect who develops strategies and database systems for solving problems in business, science, and education. Machine Learning Engineers apply AI and machine learning algorithms in computer programming, software development, and statistical analysis. Statisticians use AI for gathering, analyzing, and interpreting data to process information across a variety of industries. Analysts also apply AI in data analysis to find relationships and trends within numbers that are critical for making business decisions.
Boston offers a fertile environment for opportunities in technology, especially with renowned schools like MIT close by. Boston provides options for finding work with knowledge in AI that complements several areas of computer technology such as programming, data analytics, and machine learning. Training for AI can lead to working in industries as diverse as ecommerce, biotech, research and development, and financial services. Therefore, gaining skills in areas involving AI could enhance career opportunities in technology. Here are several categories to consider:
Data analytics in AI helps with automating calculations. Data analytics requires skills for finding patterns that clarify conditions for organizations by examining data patterns and connections within numbers that allow Data Analysts to understand how and why something exists and how a problem might be solved. With AI, data analytics provides predictive analytics for anticipating where information may lead in risk assessment, weather forecasting, or sports analytics.
For anyone considering a career in AI, training in machine learning can provide skills for working in similar areas of computer technology. Machine learning represents a category of artificial intelligence associated with creating programs capable of learning on their own by using data algorithms and processing collected information. Training in Python programming can provide skills for analyzing data using Pandas, NumPy, and Matplotlib, as well as using machine learning algorithms to apply regressions and other methods of statistical analysis for creating predictive models. Working with machine learning applications requires learning concepts such as data mining, robotic control, and autonomous navigation systems.
Anyone considering a career related to artificial intelligence can benefit from training in the Python programming language. Python is a programming language that is easy to read and learn, and it can be used in complex data analysis for handling large datasets. Data Scientists and Data Analysts can apply Python in AI and machine learning for working with mathematical functions, data structures, and data visualization to help analyze information.
Data science can be used to find work in mathematics, computer programming, and AI by providing a comprehensive understanding of how to process data for use with AI in areas like business and digital marketing. Data Scientists and Data Engineers apply data science for advanced techniques with AI and machine learning algorithms to discover patterns within a sea of information. These procedures can lead to results that help Product Managers, Digital Marketers, Business Analysts, or ambitious entrepreneurs achieve their goals in business and careers.
Web Designers must have skills in graphic design and motion graphics for developing the best visual methods for connecting with potential customers. AI can help with creating motion graphics to add dynamic elements to text and graphics on websites, social media platforms, videos, and other visual media for attracting and engaging online users and audiences. Websites, for example, have become a normal way of conducting business and marketing around the world, which has led many companies to employ their own Web Designers and Graphic Designers to help establish a brand identity that sets them apart from competitors. Web Designers use AI to enhance graphics by creating animated images and text that catch the eye of potential customers and help organizations stand out in the internet’s cluttered landscape.
For many, learning AI may not be any more difficult than learning other areas of computer technology. However, the difficulties with learning AI could involve handling machine learning algorithms and other complex procedures related to AI and predictive modeling. Working in AI requires knowledge of algorithms, statistics, and math, as well as an understanding of calculus, algebra, and probability, which many people may find intimidating. Other challenging areas of AI training could include gaining knowledge of Python programming, as well as its frameworks and libraries. Training in AI is typically paired with machine learning to automate tasks through software engineering or data analytics.
The most challenging aspect of learning AI might involve dealing with a lot of math and programming languages. There are inherent challenges related to learning AI that include adapting to today's ever-evolving digital landscape. Keeping up with constant innovations essential to computer technology requires combining knowledge of machine learning with AI, along with being able to handle tools like Tableau for use in areas such as business or marketing.
Because AI is a complex area of technology that requires knowledge in a wide range of categories such as programming languages and technical procedures like data science, the time it may take to learn AI and machine learning will vary widely. Depending on a person’s goals, mastering AI can take anywhere from a few months to several years. The method of training that people choose will affect how long it will take. This includes whether someone enrolls in a workshop, a bootcamp, a certificate program, or a college degree. Learning AI requires knowledge in math and programming languages, as well as machine learning algorithms. The time it might take to learn how to build AI models can vary widely depending on factors such as a person’s career ambitions, current knowledge and experience, learning goals, and the type of education they pursue. Anyone interested in learning AI can pursue a four-year college degree in computing or enroll in shorter online courses, bootcamps, and certificate programs. Training in AI can lead to becoming Data Analysts, Research Scientists, Machine Learning Engineers, and Business Intelligence Developers.
There are various formats for learning AI to find work in emerging areas of computer technology. People can decide to attend in-person, live online, or on-demand courses, bootcamps, and certificate programs in AI to learn data science, programming languages, machine learning, and data analytics. Plenty of people prefer learning inside a classroom with a teacher standing in front of them. For them, there are classes in or near Boston that may offer training in skills related to artificial intelligence inside classrooms.
Conversely, for some people, getting home from work only to have to get back out on the road and into traffic to find a classroom and parking may not be the most appealing way to spend an evening. Live online courses and bootcamps offer hands-on training from expert instructors who can provide the same level of education that a person would get from sitting inside a classroom, without having to leave the comforts of home. Students can choose from shorter virtual learning workshops or take on the challenge of enrolling in lengthier and more immersive live online bootcamps and certificate programs.
Another option for training would be with on-demand (asynchronous) courses that allow students to learn at their own pace and on their own time. For anyone learning AI through on-demand training, there are options available for learning data science, programming languages, and machine learning. People have choices with on-demand training ranging from free online tutorials to advanced paid courses from a variety of online education providers.
For people considering training in AI to find work related to data science, data analytics, or machine learning but who lack the appropriate technical background, there are free online resources available to get familiar with the basics. Artificial intelligence involves developing programs capable of simulating how people think and behave, as well as learning from data to optimize collected information through this process. For those who don’t feel ready to pay for an introductory course to learn AI, there are several free learning options available from online education providers.
Edureka! offers the free Artificial Intelligence Full Course in 10 Hours on YouTube, which provides a comprehensive overview of AI concepts through hands-on exercises. Students can also find free tutorials on Udemy, which offers the Introduction to Artificial Intelligence class that introduces new learners to AI concepts with a few simple techniques for gaining knowledge relatively easily.
And while Noble Desktop doesn’t offer seminars that directly focus on AI, there are several free videos that cover areas related to artificial intelligence such as programming languages and relevant technologies. Noble Desktop offers free seminars that touch on AI-related topics such as Intro to Python Fundamentals, Intro to Google Analytics, Intro to JavaScript, and Get Started in Data Science. These free video webinars can help people gain a basic understanding of concepts related to AI.
Boston has an emerging tech sector that offers opportunities for careers related to AI with skills in computer programming, data science, data analytics, and machine learning. Skills related to AI can lead to employment in areas such as ecommerce, research and development, financial services, and healthcare.
AI involves processing information to find patterns that help with analyzing trends or applying data analytics to mimic human thought and behavior. Working in AI requires knowledge of Python programming, data analytics, and machine learning algorithms. Additionally, knowledge of Python libraries and frameworks can be used in AI for working with a variety of processes related to predictive modeling for banking apps, stock trading, and cryptocurrency.
Boston is among the most established cities in the United States for research and development related to computer technology, especially with nearby Harvard, Boston College, and MIT helping to create a fertile environment that facilitates advancement with computer technology. Skills with computer technology like AI have become a vital part of everyday life, meaning that possessing knowledge in these growing areas can provide diverse career options. According to the Bureau of Labor Statistics, the career outlook for working as a Mechanical Engineer is projected to grow by 10 percent between 2022 and 2032. Boston offers a wide range of job opportunities along with an unemployment rate that sits below the national average despite being a densely populated city. The annual income for a Mechanical Engineer in Boston ranges from $69,000 to $141,000 for those with skills in researching, designing, building, and prototyping mechanical devices that require knowledge of engines and mechanics along with machine learning and artificial intelligence. Top industries for finding work related to AI and machine learning include biotech, healthcare, transportation, and utilities, as well as government agencies.
Banking and financial services apply AI in several ways, including automation, fraud detection, and customizing financial advising. Banks use AI for making decisions on loan approvals, detecting fraud, recognizing cyber-attacks, and marketing to targeted customers by tailoring advertising. AI is also important in online lending, enabling data-driven decisions based on FICO scores and credit bureau data.
Artificial intelligence helps banks and lending institutions sift through volumes of transaction data and flag unusual activities related to fraud. IT Security Analysts use AI in cybersecurity to handle suspicious activities that might signal online threats. AI applies data science and machine learning algorithms to scrutinize network traffic for suspicious patterns and determine if files on a computer network are moving abnormally. Financial companies also use predictive analytics with AI to analyze research reports, client data, and marketing metrics for understanding customer behavior, marketing events, and business trends.
The healthcare industry uses AI and machine learning algorithms in many capacities. Boston is home to several biotech and pharmaceutical companies, offering career opportunities for individuals with training in advanced technology. Many pharmaceutical companies rely on the efficiency of AI for predicting the effectiveness and safety of compounds when developing new drugs. Technology is essential in every area of life nowadays, including medicine and life sciences.
Advanced technology has become a critical element in every aspect of life today, including the use of data analytics and predictive modeling in the defense industry. Defense companies rely on autonomous technology—including AI and machine learning—to operate equipment, including manned and unmanned weapons systems. AI technology helps military systems function in harsh and dangerous environments, saving lives and supporting national security.
The insurance industry uses AI in various capacities to apply information more effectively, improve businesses, and market products and services to potential customers. AI can help insurance companies develop strategies for managing customers, designing custom products, analyzing risk, supporting underwriting, and implementing fraud detection systems.
Insurers use AI for fraud detection, pricing optimization, and customer segmentation. Companies apply AI in risk assessment to develop strategies that reduce losses. An insurance company’s ability to identify the risks involved with insuring a potential client or asset can directly impact the financial health of that organization. The insurance industry also uses AI for lifetime value prediction, claim segmentation, and identifying outlier claims.
People living in Boston can find in-person classes at local schools or enroll in live online courses from online education providers to learn skills related to AI and machine learning. Anyone interested can study data science, programming languages, and machine learning for roles in software development, digital marketing, or data analytics. Live online courses can provide the same level of education as in-person classes without leaving home. And while many online courses are available, some people prefer learning in-person with an instructor present. For those individuals, there are schools in and near Boston that offer in-person AI training. Listed below are a few in-person and live online courses for training in AI and machine learning:
MIT Professional offers the two-day Machine Learning for Big Data and Text Processing: Foundations course, which provides fundamental machine learning training to immediately apply skills in an organizational context. The course focuses on key concepts and methods in predictive modeling.
Students can also enroll in live online courses at General Assembly, which offers the Python and ||CPN633||. This course is designed for participants who already know Python and want to expand their skills in machine learning through hands-on training with data science libraries.
iD Tech offers the Intro to Python Coding for Machine Learning course, which introduces students to essential AI and machine learning topics using Python, including object-oriented programming and neural networks.
Noble Desktop provides several live online AI training options. You can enroll in the AI for Python course to learn how to build AI-powered web applications using Flask and OpenAI API integration.
Another option is Noble Desktop’s AI & ||CPN411|| program, which covers Python, SQL, automation, AI integration, and advanced Python techniques for careers in data science and analytics.
Noble Desktop also offers a Generative AI Certificate that trains students to apply AI in business, marketing, data analytics, and web design. Training includes optimizing Microsoft Excel workflows, developing video content, designing graphics, and analyzing data using generative AI tools.
Corporate training is a great way to help your company improve skills in today’s technology-dominated workplace. Noble Desktop offers Corporate Training in AI to prepare your staff to stay competitive in a digital-first world. Training can be delivered onsite at your office or virtually via platforms like Zoom. Companies can also purchase vouchers for public AI courses.
If you want your team to stay ahead through training in generative AI, data analytics, and Python programming to improve workplace efficiency, contact corporate@nobledesktop.com for more information or to schedule a free consultation.