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) involves the process of simulating how people think and behave through predictive modeling to perform basic tasks. AI represents an area of computer technology that focuses on making devices capable of performing a variety of tasks that normally demand human intelligence. Training in AI includes learning about 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 human intelligence through systems that perform, 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 and more dependent on computer technology in nearly every aspect of life, AI has grown as a vital component for helping in areas such as cloud computing to perform efficiently across a variety of platforms and functions. Organizations now use AI in operating businesses by integrating data within infrastructures that enable processing workloads relevant to a particular industry. Training in AI includes learning data science, Python programming, and data analytics to develop intelligent systems that are often used in machine learning or cloud computing.
Knowledge in artificial intelligence can be applied to work in various industries involving information processing and task automation. 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 to gather and analyze data for fraud detection or financial advising using machine learning algorithms for risk analysis in stock trading.
The healthcare industry also uses AI to create algorithms to develop care plans that improve patient services, along with using data analytics with medical imaging to determine diagnoses and treatments. Data Scientists and Data Analysts use artificial intelligence with raw data to look for patterns that may indicate trends or tendencies when presenting findings that help healthcare organizations make informed medical and business decisions.
Skills in 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 to gather, analyze, and interpret data for processing information across a variety of industries. Analysts use statistics with data analysis to search for relationships and trends within numbers that are critical in business decision-making.
Atlanta provides an emerging tech environment that offers some of the best opportunities in the country for finding rewarding careers related to technology. This includes finding work with skills in AI that complement several areas of computing, including programming, data analysis, and machine learning. Training related to artificial intelligence can lead to work in a variety of industries such as ecommerce, research and development, financial services, and healthcare. Listed below are several skills in technology related to working with AI:
Data science involves working with mathematics, computer programming, and artificial intelligence to provide a comprehensive understanding of collecting, organizing, and interpreting information to use with AI in business and marketing. Professionals such as Data Scientists or Data Engineers apply advanced technologies and techniques with artificial intelligence and machine learning algorithms to navigate the sea of information inherent in today’s digital technology. This process can lead to useful results that help Product Managers, Digital Marketers, or ambitious entrepreneurs achieve their goals in business or their careers.
For anyone who is considering a career related to artificial intelligence, training in machine learning can provide skills for working in similar areas of computing. Machine learning is considered a category of computer technology associated with creating programs that are capable of learning on their own by using data algorithms to process collected data. Training in Python programming can provide the skills needed for analyzing data using Pandas, NumPy, and Matplotlib, and using machine learning to apply regressions and other methods of statistical analysis to create predictive models. Working with machine learning applications requires knowledge of concepts such as data mining, robotic control, and autonomous navigation systems.
Data analytics used in AI can help with automating calculations. Data analytics requires skills for finding patterns that clarify outcomes by examining data patterns and connections within numbers that allow Data Analysts to understand how and why a circumstance may exist, as well as how a problem might be solved. With AI, data analytics includes providing predictive analytics for anticipating where information may lead in areas such as risk assessment, weather forecasting, and sports analytics.
Anyone who has considered a career related to AI can benefit from training in the Python programming language. Python is a programming language that is easy to read and learn, and it is used for complex data analysis and handling large datasets. Python allows Data Scientists and Data Analysts to work with AI and machine learning by applying mathematical functions, data structures, and data visualization to help analyze information for work in several industries.
AI is a crucial component for helping cloud computing perform efficiently on a variety of platforms. AI facilitates a productive cloud computing environment that allows users to operate a business or project effectively. AI helps integrate data within infrastructures that enable organizations to process workloads relevant to their particular industry. Cloud computing benefits from professionals with knowledge in artificial intelligence, data science, and machine learning, which has helped companies like Amazon succeed with AWS.
Among the challenges of learning AI for students new to this field is having to combine programming languages and data science to create programs that can think and perform like a person. Artificial intelligence can be difficult to learn due to the inherent complexities involved in any area of computer technology, including coding, programming languages, and disciplines such as data science and machine learning. Because so many people today have been raised in a world immersed in computer technology, they may feel more comfortable learning the mechanisms for working with and developing AI programs than people who grew up in earlier times. However, motivation, focus, and practice can help lessen the difficulty of learning AI. Training in AI can also be challenging due to having to work with mathematics and algorithms.
The most challenging aspect of learning AI may be working with numbers and programming languages. Training in AI requires working with statistics, calculus, probabilities, and algebra. However, many people have anxieties about math that can create psychological barriers to learning. Still, AI and machine learning require becoming comfortable with mathematics to understand algorithms.
While there are several paths to learning AI for a career in computer technology, deciding how and where to start may be difficult. AI is an advanced area of computing that spans several categories and industries, including machine learning, data science, digital marketing, and software development. The best place to start would be by choosing a particular area of training that provides the AI skills required for your goals. AI requires learning math, programming languages, and machine learning algorithms. The time it takes to learn how to build AI models varies based on several factors, including a person’s ultimate career goals, current knowledge and experience, learning objectives, and chosen method of education. Options include shorter in-person or live online classes, pursuing a four-year college degree in computing, enrolling in a certificate program, or earning a professional certification related to AI. Training in AI can prepare you for roles such as Data Analyst, Research Scientist, Machine Learning Engineer, or Business Intelligence Developer.
There are a variety of training formats available to learn AI skills for work in emerging areas of computer technology. People can choose to enroll in in-person, live online, or on-demand courses, bootcamps, and certificate programs focused on artificial intelligence, which requires knowledge of data science, programming languages, machine learning, and data analytics. Many people prefer learning in a classroom with a teacher physically present. For those individuals, there are classes throughout Atlanta that offer in-person training in AI.
Conversely, for others, getting home from work only to go back out into Atlanta’s notorious traffic to find a classroom in the city may not be the best way to spend an evening. Live online courses and bootcamps offer hands-on training from expert instructors and provide the same level of education as in-person classes—all from the comfort of home. Students can choose short virtual workshops or commit to more in-depth live online bootcamps and certificate programs.
Another training option is through on-demand (asynchronous) courses that allow students to learn at their own pace and on their own schedule within a class’s timeline. For those interested in on-demand AI training, there are many options to explore topics like artificial intelligence, machine learning, programming languages, and data science. On-demand training options range from free online tutorials to advanced courses offered by leading education providers.
The basic skills needed for working in AI include understanding algorithms, Python programming, and data analytics. Understanding math and statistics is essential for interpreting data and developing algorithms using knowledge of statistical significance, distribution, and regression to create various AI applications. Knowledge of Python programming is also essential for working in artificial intelligence. Because of its readability and versatility, the Python programming language provides a user-friendly syntax along with libraries and frameworks for working in AI and data science. For example, the Python library Pandas facilitates data analysis, which is vital for developing AI programming. NumPy, another Python library, is used for scientific computations for AI. Keras is another versatile Python library that helps with constructing new models used in artificial intelligence.
Atlanta is the largest city in Georgia as well as the largest metropolitan area in the southeastern United States. Major corporations headquartered in Atlanta include Coca-Cola, Home Depot, Delta Air Lines, Chick-fil-A, and Equifax. Atlanta also serves as the home for Hartsfield-Jackson International Airport, which is frequently the busiest in the world. Therefore, it should not be surprising that the city offers career opportunities across many industries.
Atlanta’s financial services sector leverages AI for automation, fraud detection, and personalized financial advising. Major institutions such as SunTrust (now Truist), Regions Bank, and Fifth Third Bank use AI to streamline loan approvals, detect suspicious transactions, identify cyberattacks, and deliver personalized marketing campaigns. FinTech companies like GreenSky and Kabbage rely on AI to make data-driven lending decisions by analyzing credit scores, transaction histories, and other financial indicators.
AI also strengthens cybersecurity and predictive analytics in the financial sector. Banks and lending institutions use machine learning algorithms to analyze vast volumes of transaction data, flag unusual activity, and monitor networks for potential threats. Investment firms and financial services companies like Raymond James Financial and Invesco leverage AI to interpret market trends, process client data, and gain insights that help predict business outcomes and inform strategic decision-making.
Atlanta’s healthcare industry incorporates AI to improve patient care, streamline operations, and support medical research. Organizations like Emory Healthcare, Children’s Healthcare of Atlanta, and WellStar Health System use AI-driven analytics for medical imaging, diagnostics, and treatment planning. AI tools also help healthcare providers conduct research on disease progression, drug development, and population health trends.
By leveraging AI, hospitals and medical research centers in Atlanta can track disease outbreaks, analyze patient outcomes, and implement strategies to improve care quality. Companies like Cognizant (which has a significant healthcare consulting presence in Atlanta) and McKesson utilize AI to manage patient data, optimize operational workflows, and enhance telehealth services, making healthcare delivery more efficient and effective.
The insurance industry uses artificial intelligence in a range of capacities by analyzing and applying information more effectively to improve business operations or refine products for potential customers. AI can help insurance companies develop strategies for managing customers, customizing products, assessing risk, assisting with underwriting, and implementing fraud protection systems.
Insurers use AI for fraud detection, pricing optimization, customer segmentation, and personalized product development. Companies apply AI in risk assessment to help develop strategies that can be implemented to reduce losses. An insurance company’s ability to identify risks involved in insuring a particular customer or asset can directly affect the organization’s financial viability. The insurance industry also uses AI for lifetime value predictions, claim segmentation, and identifying outlier claims.
Atlanta’s marketing and advertising industry utilizes AI to create data-driven campaigns, optimize channels, and personalize customer experiences. Agencies and companies such as Cox Media Group, The Coca-Cola Company, and Delta Air Lines use AI to segment audiences, analyze consumer behavior, and manage real-time digital interactions. AI helps ensure advertising reaches the right audience at the right time, improving engagement and conversion rates.
By analyzing demographics, buying habits, and online activity, marketers can craft highly targeted campaigns that resonate with specific consumer groups. Tech and marketing firms like Mailchimp and Carvana also leverage AI for predictive analytics and audience insights, helping companies optimize their strategies and improve overall marketing effectiveness.
Noble Desktop provides live online training to learn skills in artificial intelligence. You can enroll in the AI for Python course to gain experience developing and enhancing web properties with AI capabilities. Lessons include building sentiment analysis web applications using Flask and integrating the OpenAI API, along with project-based coding work. Upon completing this course, you will be able to use Python for AI integration.
You may also want to enroll at Noble Desktop in the AI & Data Science Certificate program to train in Python, SQL, automation, AI integration, and advanced Python techniques that can lead to becoming a Data Scientist. This certificate program equips you with knowledge of Python and AI to work in data science and data analytics.
Noble Desktop also offers the Generative AI Certificate program, which teaches how to apply AI in business, data analytics, and web design. Lessons include optimizing Microsoft Excel workflows, developing video content, designing graphics, and analyzing data using generative AI tools.
Corporate training is a great way for your organization to improve the skills needed to compete in today’s technology-driven world. Noble Desktop offers corporate business training in AI to help your staff stay ahead of rapidly evolving technologies. This training can take place onsite at your location or be delivered virtually through a teleconferencing platform like Zoom. Your company can also purchase discounted vouchers for Noble Desktop’s public enrollment AI courses.
If you would like to help your company stay ahead of the competition by 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.
Atlanta’s professional scene is diverse and powerful, making it perfect for anyone looking to expand their skills in tech, design, business, or data. As one of the Southeast’s most important hubs for companies, the city brings together industries like finance, media, technology, and logistics. Through Noble Desktop’s network of experienced instructors, Atlanta-based professionals can access training from experts who truly understand the local job market.
AI is becoming a necessary tool across Atlanta’s tech, finance, and logistics sectors as organizations look for smarter ways to analyze data and streamline work. Students who take AI classes with Noble Desktop will learn practical AI techniques from instructors who demonstrate how these tools are applied in real projects and professional environments. The instructors have spent years in their fields and have developed a sense of pride in imparting their knowledge to others. This is a surefire way for students to turn their interests into real-world, applicable skills.
Based in Atlanta, Georgia, Willie Morris is a certified Project Management Professional (PMP) with over 30 years of experience leading initiatives across government, aviation, and transportation industries. Willie, a retired U.S. Air Force veteran, has also held roles with the Department of Homeland Security and the Metropolitan Atlanta Rapid Transit Authority. He has served as a Registered Educational Provider with the Project Management Institute and an Authorized Training Partner with Rita Mulcahy Learning Solutions. Drawing on his background of teaching PMP Exam Prep Certification courses, Willie now instructs professionals in Atlanta and nationwide, helping teams in federal industries strengthen their leadership and project management skills.
Kimberly Peppers dedicated 37 years to federal service, building her career through a range of audit, budget, and program analysis roles. Over the course of those decades, she rose to senior leadership positions, including Regional Inspector General and Audit Director across different federal agencies. She earned her Doctorate in Business Administration while simultaneously working on audit and investigative assignments in the Middle East. After retiring from federal service, Kim continued work in the public sector by moving into the federal consulting field. She is also an instructor at Graduate School USA, teaching mainly finance and accounting classes.
With more than 20 years of both personal and professional involvement in government HR, Ashley is an experienced human resources professional and educator. She currently works as an instructor at Graduate School USA, where she earned a reputation for delivering comprehensive marketing, project management, and HR concepts in a clear, understandable way. Drawing on her extensive experience, Ashley brings a unique twist to her courses through real-life, practical examples that help students bridge the gap between theory and actual application of the skills. Ashley holds a Master’s in Public Administration and remains dedicated to strengthening the public service sector through professional development and advanced education.