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.
Atlanta is the largest metropolitan area in the Southeastern United States and is one of the best cities for working in technology, with Georgia Tech in the middle of town and Emory University in nearby DeKalb County. The city also offers opportunities for training and working with artificial intelligence, which is an emerging area of technology used in several functions and processes within organizations and corporations located there. Atlanta is among the best destinations for anyone who has ambitions in computer technology, especially with the expanding influence of AI. Additionally, Atlanta has one of the lowest costs of living among major cities in the United States.
Due to the inherent versatility of AI, knowledge and experience in this area of technology can lead to plenty of career opportunities. Major industries in Atlanta include tourism, healthcare, financial services, tech startups, insurance, construction, and communications. Anyone involved in any of these industries faces competition for employment or customers and could benefit from knowledge in artificial intelligence and machine learning to possess relevant and current skills in computer technology.
Artificial intelligence 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 new learners 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.
For people who are considering training in data science, machine learning, and data analytics to work in AI but who lack the appropriate technical background, there are free online resources available to get familiar with the basics of this emerging area of technology. Artificial intelligence involves developing programs capable of simulating how human beings think and behave, as well as learning about programs that learn from collected data to perform tasks. For those who don't feel ready to pay for an introductory course to learn AI, there are free learning options available from online education providers like Simplilearn, which offers a free Artificial Intelligence Full Course 2024 available through YouTube that trains new learners in artificial intelligence by covering concepts like deep learning and machine learning. While Noble Desktop does not offer any video seminars that focus directly on AI, there are several free webinars that cover areas related to artificial intelligence to learn about programming languages and relevant technology. Noble Desktop offers free seminars that touch on topics related to AI 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 you gain a basic understanding of concepts related to AI.
Learning skills related to AI requires training in math, programming languages, and data science to develop programs and devices that can learn and respond like a human being. 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. Located in Fulton County, Georgia, Atlanta’s nicknames include “The ATL” and “The City Too Busy to Hate, ” which stem from its role as the birthplace of Dr. Martin Luther King Jr. And his headquarters during the Civil Rights Movement in the 1950s and ’60s. 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 also has a strong economy and a large talent pool ready to take advantage of opportunities in technology, healthcare, financial services, and marketing. With Delta Air Lines based in Atlanta, professionals with AI skills can easily travel to and from the city to apply their expertise worldwide. Here are a few industries in Atlanta where AI skills are in-demand:
The banking and financial services industries use AI in several capacities, including automating functions, detecting fraud, and personalizing financial advising. Banks apply AI to make decisions on loan approvals, detect fraud, recognize cyberattacks, and market to targeted customers through tailored advertising. AI is also important in online lending to make data-driven decisions based on FICO scores and credit bureau data.
Artificial intelligence helps banks and lending institutions sift through large volumes of transaction data to flag unusual activities related to fraud. AI is also used in cybersecurity to monitor and respond to potential threats. AI requires knowledge of data science and machine learning algorithms to help analyze network traffic for suspicious patterns and detect abnormal file activity across computer systems. Many companies use AI in predictive analytics and machine learning to comb through research reports, client data, and marketing data to understand customer behavior, market events, and business trends.
The healthcare industry uses AI and machine learning algorithms to create care plans and improve patient services. Many organizations apply data analytics to medical imaging to support diagnoses and treatment decisions. Healthcare companies conduct research with data analytics to gain insights into areas such as disease progression, appropriate treatments, and drug development. AI in healthcare also allows organizations to use data to enhance patient care. The healthcare industry frequently uses AI to compile and analyze information on population health, track and prevent disease spread, and evaluate other health-related data.
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.
Data Analysts and Marketing Analysts use AI and data science to create promotional campaigns aimed at targeting audiences, marketing products and services, and leveraging social media. AI can be used in marketing for channel optimization, customer segmentation, real-time interactions, and generating insights related to customer preferences and behavior.
AI helps Marketers and Advertisers develop valuable insights about customers by using data analytics to analyze age, location, gender, and other key demographic data. This information helps companies more effectively shape marketing campaigns that are better tailored to customers who are looking for their products or services by placing advertising where the intended audience is most likely to see it. AI also helps find potential customers in the digital marketing process.
People living in Atlanta can find in-person classes at local colleges or enroll in live online classes from education providers to learn skills related to artificial intelligence. Anyone interested can learn skills in AI, including data science, programming languages, and machine learning for careers in software development, digital marketing, or data analytics. Live online courses offer the same level of education as a traditional classroom without requiring students to leave home. While there are many online courses available for learning skills in AI, some people prefer the structure of classroom instruction. For those individuals, schools in Atlanta provide in-person training in areas of technology. Listed below are a few in-person and live online AI-related courses:
Students in Atlanta can enroll at Emory Continuing Education, which offers the Practical Artificial Intelligence with Power BI course. This 11-week program, taught on Saturdays, trains students in AI and Power BI to develop insights such as predicting customer churn and identifying growth opportunities in business.
Students can also choose Emory Continuing Education's Applied Machine Learning & Data Science with Python course, a 10-week class covering data science concepts including data collection, data visualization, preprocessing, and application of machine learning algorithms.
Some may choose to enroll with iD Tech, which offers the Intro to Python Coding for Machine Learning course. This course teaches students the fundamentals of machine learning and artificial intelligence with lessons in Python and object-oriented programming.
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.