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.
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.
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.
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.
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.
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.
Artificial intelligence (AI) is a field of computer science dedicated to building systems that can mimic aspects of human intelligence, such as learning, reasoning, problem-solving, and language understanding. The idea of AI dates back to the 1950s, when researchers like Alan Turing questioned whether machines could think and proposed early tests of machine intelligence. The term “artificial intelligence” was formally introduced in 1956 at the Dartmouth Conference, marking the start of AI as an academic discipline. While early AI relied on rule-based systems and symbolic logic, modern AI has advanced significantly due to increased computing power, large datasets, and the development of machine learning and deep learning techniques. Today, AI plays a major role in everyday technology, powering tools like search engines, recommendation systems, virtual assistants, and data-driven decision-making across many industries.
Knowledge in artificial intelligence can be applied to work in various industries for processing information and performing tasks. There are several areas of business that benefit from AI. For instance, banking, financial services, and technology companies employ Computer Engineers, Data Analysts, Business Intelligence Developers, and Data Scientists for gathering and analyzing data for fraud detection or financial advising using machine learning algorithms in risk analysis with stock trading.
The healthcare industry also uses AI to create algorithms for developing care plans to improve patient services, along with data analytics for medical imaging to determine diagnoses and treatment. Data Scientists and Data Analysts use artificial intelligence to handle raw data and look for patterns that might indicate trends or tendencies when presenting findings that 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 to solve problems in business, science, and education. Machine Learning Engineers apply artificial intelligence and machine learning algorithms in computer programming, software development, and statistical analysis. Statisticians use AI for gathering, analyzing, and interpreting data to process information in a variety of industries. Statisticians also apply AI in data analysis to search for relationships and trends within numbers that are critical to decision-making in businesses.
Dallas has an emerging tech environment offering some of the best opportunities in the country for finding a rewarding career related to technology. This includes opportunities for work in AI that complement various areas of computer technology, including programming, data analytics, and machine learning. Training related to artificial intelligence can lead to careers in a variety of industries such as ecommerce, research and development, financial services, and healthcare. Below are several categories of work related to AI:
Data analytics in AI helps automate calculations. Data analytics requires skills to find patterns within datasets. These insights enable Data Analysts to understand how and why a circumstance may exist, as well as how a problem might be solved. In AI, data analytics includes predictive analytics to anticipate where information may lead in risk assessment, weather forecasting, or sports analytics.
Artificial intelligence can be used in software development through knowledge of Python, Django, Git, and SQL. Training in software development can be combined with AI to assist in control, management, and testing. Prospective Software Engineers can apply AI techniques to enhance decision-making in software development by applying artificial intelligence and machine learning algorithms to analyze collected data.
For anyone considering a career in artificial intelligence, training in machine learning can provide valuable skills for related fields in computer technology. Machine learning is a subset of AI associated with creating programs that can learn autonomously from data by processing collected information. Training in Python programming equips students to analyze data using Pandas, NumPy, and Matplotlib, as well as to perform regressions and apply other methods of statistical analysis to create predictive models. Working with machine learning applications requires learning concepts such as data mining, robotic control, and autonomous navigation systems.
Digital marketing involves applying various media tools, software, and methods to promote and advertise businesses, products, services, and events to target audiences. AI provides predictive analytics that help Digital Marketers forecast customer behavior and make strategic decisions. AI helps anticipate trends by analyzing customer data, giving businesses insights for strategic planning. Marketers can use predictive analytics to move inventory, reduce costs, and improve customer retention. This includes applying artificial intelligence to enhance digital marketing through search engine optimization and data analytics.
Data science involves working in math, computer programming, and artificial intelligence to optimize information for use in business and marketing. Professionals such as Data Scientists and Data Engineers apply advanced technologies and techniques, including machine learning algorithms, to discover patterns in large datasets. These insights can lead to valuable outcomes that help Product Managers, Digital Marketers, and entrepreneurs achieve business and career goals.
Anyone interested in a career related to AI can benefit from training in the Python programming language. Python is a versatile and easy-to-read programming language that supports complex data analysis and large datasets. It enables Data Scientists and Data Analysts to work with artificial intelligence and machine learning, using mathematical functions, data structures, and data visualization to analyze information across a range of industries.
Any difficulty with learning AI may depend on an individual’s experience and aptitude, as well as their personal ambitions. Training in the basics required for eventually working with artificial intelligence may be easier for those who have some background in computing, including learning programming languages, algorithms, and mathematics. Training in Python, for instance, can be beneficial for becoming comfortable with AI and learning JavaScript frameworks and libraries. AI training is often paired with machine learning to automate tasks in fields such as software engineering or data analytics.
The most challenging aspect of learning artificial intelligence may involve working with complex mathematics and learning programming languages. Many people experience difficulties and anxiety with mathematics, which can make training harder than it should be because of psychological barriers. However, training in AI requires skills in math for working with statistics, calculus, probabilities, and algebra, all of which involve working with numbers. Related to AI, machine learning also requires understanding algorithms, which can be difficult for many people.
While there are several educational paths available to train for a career involving artificial intelligence, deciding how and where to start can be difficult. AI is an advanced field of computer technology that spans multiple categories and industries, including machine learning, data science, digital marketing, and software development. The best starting point is to choose a particular career path and begin training in the relevant skills for that profession. Learning AI requires knowledge of mathematics, programming languages, and machine learning algorithms.
The time it takes to learn how to build AI models can vary widely depending on several factors, including an individual’s career ambitions related to AI, current knowledge and experience, learning goals, and the type of education chosen.
There are a variety of training formats for learning AI skills to find work in emerging areas of computer technology. People can choose from in-person, live online, or on-demand courses, bootcamps, and certificate programs for learning artificial intelligence in fields including data science, programming languages, machine learning, and data analytics. Many people prefer learning in a traditional classroom setting with an in-person instructor. For those individuals, there are classes throughout Dallas that offer AI training in-person.
Conversely, for some people, commuting after work through traffic to attend an evening class may not be the ideal option. Live online courses and bootcamps offer hands-on training from expert instructors, providing the same quality of education as in-person instruction without leaving the comfort of home. Students may choose shorter virtual workshops or enroll in longer, more immersive live online bootcamps and certificate programs.
Another training option is on-demand (asynchronous) courses that allow students to learn at their own pace and on their own schedule. For those interested in on-demand AI training, there are options available in artificial intelligence, machine learning, programming languages, and data science.
Gaining skills in artificial intelligence requires training in mathematics, programming languages, and data science to develop computer programs and devices that can learn and respond like humans. The basic skills needed for working in AI include understanding algorithms, Python programming, and data analytics. Understanding the basics of math and statistics is also essential for working in AI, including interpreting data and developing algorithms to assess statistical significance, distribution, and regression for creating various AI applications.
Knowledge of Python programming is also essential in AI. Python is known for its readability and versatility, and provides a user-friendly syntax along with libraries and frameworks commonly used in AI and data science. For example, Pandas is a Python library that facilitates data analysis, which is crucial when developing AI programs; NumPy is a library that helps with scientific computation; and Keras is a versatile Python library that assists in constructing new models used in AI.
With its pleasant year-round climate that encourages outdoor activities, Dallas has become one of the leading technology hubs in recent years by establishing itself as a center for tech innovation, including artificial intelligence. Dallas also has a strong economy and a large talent pool of AI-skilled professionals who can take advantage of career opportunities in technology, healthcare, and financial services. With major companies like AT\&T and American Airlines headquartered in Dallas, professionals with AI expertise can easily travel to and from the city to apply their skills across the country.
Artificial intelligence represents a growing area of technology currently used in a wide range of industries for diverse applications. Dallas has companies like KUBRA that provide customer experience management solutions, and Caterpillar, Inc. Through its Cat Digital division, which manages digital operations related to the company’s data analytics and AI capabilities for streamlining production and enhancing customer service. Companies in Dallas use AI in various applications, including machine learning, natural language processing, and computer vision. This includes programs for cybersecurity, managing network traffic, identifying network abnormalities, and detecting fraudulent online activities.
Training in AI can lead to multiple career paths in Dallas, including roles as Data Analysts, R\&D Engineers, Computer Programmers, and Data Scientists. According to the Bureau of Labor Statistics, employment for Data Scientists is projected to grow by 25 percent between 2022 and 2032. Working as a Data Scientist in Dallas can earn professionals an annual income ranging from $83,000 to $169,000 for projects involving the collection and validation of data using various analytical methods.
The banking and financial services industry applies AI in areas such as fraud detection and personalized financial advising. Banks use artificial intelligence with data analytics to support decisions related to loan approvals, detect fraud, recognize cyber-attacks, and market to targeted customers using personalized advertising. AI is also used in online lending to make data-driven decisions based on FICO scores and credit bureau data.
Artificial intelligence and machine learning help banks and lending institutions by sifting through large volumes of data to flag unusual activities that may indicate fraud. AI applications also enhance cybersecurity by managing suspicious activities that may indicate cyber threats. For example, machine learning algorithms assist in analyzing network traffic for suspicious patterns to determine if files on a network are behaving abnormally. Organizations also use AI and predictive analytics to interpret client information, market events, and business trends by analyzing research reports, customer data, and marketing insights.
Artificial intelligence is playing an increasingly important role in Dallas’s healthcare industry, helping providers improve patient care, streamline operations, and support clinical decision-making. Major healthcare organizations such as UT Southwestern Medical Center, Baylor Scott & White Health, Methodist Health System, and Parkland Health are using AI-driven tools for medical imaging analysis, predictive analytics, and population health management. Machine learning models assist clinicians in detecting diseases earlier, forecasting patient outcomes, and identifying high-risk patients, while AI-powered automation helps reduce administrative burdens like scheduling, billing, and electronic health record documentation. As Dallas continues to grow as a major healthcare hub in Texas, AI is enabling providers to deliver more efficient, accurate, and personalized care across hospitals, clinics, and research institutions.
Many retail companies use AI to determine whether to approve a project or product for development and distribution based on audience or customer behavior. AI helps by measuring shopping and purchasing behaviors using machine learning algorithms. This includes market-based data analysis, which informs and predicts customer purchase habits.
Additionally, AI is used to analyze customer demographics, evaluate pricing strategies, manage inventory, and identify purchasing patterns. Many companies also use AI and data analytics to determine optimal locations for new stores or to assess social media reactions to new product launches.
AI & Data Science Certificate—Noble Desktop
Noble Desktop’s AI & Data Science Certificate program offers hands-on training from industry experts. The program is available in-person in NYC or live online (if you’re in the Philadelphia area) and is designed to equip you with essential skills in Python, SQL, automation, AI integration, and advanced Python techniques. This comprehensive, beginner-friendly program is tailored for those aiming to launch a career in data science or specialize in AI, providing a solid foundation in Python programming and its application in real-world data science projects. The program includes 174 hours of interactive instruction, 1-on-1 mentoring sessions, and a portfolio of projects to demonstrate your skills, with additional support like free retakes, setup assistance, and flexible payment plans to ensure you succeed in achieving your career goals.
Generative AI Certificate—Noble Desktop
The Generative AI Certificate program led by Noble Desktop offers hands-on training from expert instructors, available in-person in NYC or live online (if you’re in the Philadelphia area). This comprehensive program is tailored for professionals seeking to leverage AI across various domains such as business, marketing, design, and data analytics. You’ll learn how to optimize workflows in Excel, create compelling video content, design captivating graphics, analyze data efficiently, and enhance workplace productivity using generative AI—all without requiring any prior coding experience. With small class sizes, free retakes, setup assistance, and 1-on-1 mentoring, this program equips non-programmers with the tools needed to drive innovation and efficiency in their respective fields.
Corporate AI training helps organizations build technology skills that enable employees to keep the company competitive in today’s fast-paced digital economy. Noble Desktop offers corporate training in AI, which can be delivered on-site at your company or live online via a platform like Zoom. Companies may also purchase discounted vouchers for Noble Desktop’s publicly available AI courses.
To help your company stay ahead of the competition through Generative AI, data analytics, and Python programming for improved efficiency, contact corporate@nobledesktop.com to request more information or schedule a free consultation.