Best AI Classes Chicago, IL: Find Courses & Onsite Training

Learn More About Chicago AI Courses

AI stands for artificial intelligence, a broad field within computer science that encompasses technologies like machine learning (ML), deep learning, and natural language processing (NLP). AI uses computer systems and advanced ML algorithms to simulate human behaviors, identify patterns, and extract relationships from large datasets. Many computer and smartphone users are familiar with AI-powered tools such as chatbots and virtual assistants like Siri and Alexa.

Data processing is the foundation of artificial intelligence, but AI Developers can use multiple programming languages to carry out a wide range of tasks. Among the most popular:

C/C++
Python
Java
JavaScript
R

AI expertise may be required for roles such as Computer Engineer, Data Analyst, or Machine Learning Engineer. However, many additional tech roles increasingly rely on AI skills, including those in business intelligence, cybersecurity, and electrical engineering. Read on to explore more about this evolving field and the benefits of AI training.

What Can You Do with AI Training?

Technical experts who work with artificial intelligence can apply their skills to numerous high-level projects, from improving operational systems to designing advanced algorithms and supporting research and development initiatives. The projects you can take on with AI training vary as widely as the industries that rely on AI today. Consider the following roles you might pursue in the AI field:

Machine Learning (ML) Systems—If you pursue a career as a Machine Learning Engineer, you will likely work within a data science team. Responsibilities in this role include implementing ML algorithms, performing statistical analysis, and designing, developing, and maintaining ML systems.
Mechanical Engineering Integration—Another engineering role that utilizes AI is Mechanical Engineering, which differs significantly from that of a Machine Learning Engineer. Mechanical Engineers increasingly use AI for tasks such as automation, product design, rapid prototyping, and predictive maintenance.
High-Level Data Analytics—While some Data Analysts may worry about being replaced by AI, the opposite is more likely: businesses will increasingly need analysts to interpret AI-generated insights. Gaining skills in AI and machine learning can enhance a Data Analyst’s effectiveness and job security.

As AI continues to transform the tech industry, new growth opportunities are emerging across sectors. Read on to learn more about what you can expect to learn in an AI curriculum.

What Will I Learn in an AI Class?

As with other wide-ranging fields, the skills and tools you gain through an AI class depend on several factors. Factors such as course length, learning format (online or in-person), and topic focus all influence what you will learn. Program types also vary, including in-person, live online, and on-demand video formats.

Many AI courses begin with an introduction to artificial intelligence, while others focus on specific tools and practical applications. However, some programs are both beginner-friendly and comprehensive. Whether you're seeking a broad overview or a deep dive into a particular subject, here are some topics you might explore in an AI course:

Data Visualization with AI Tools

Data analytics is a major area where AI plays a growing role, and many AI learners want to know how to use AI tools to create compelling data visualizations. A class like AI for Data Analytics from Noble Desktop offers training in widely used AI platforms such as Google AI and IBM Watson. It also teaches students how to build interactive dashboards powered by AI insights. You can save by taking it as part of the comprehensive Generative AI Certificate program.

ChatGPT

Among the most widely discussed AI tools, few generate as much buzz as ChatGPT. This advanced AI chatbot uses natural language processing (NLP) to generate humanlike responses to prompts involving text, images, and videos. Users access the ChatGPT platform through OpenAI. You can learn how to use this cutting-edge tool in a class like Generative AI with ChatGPT. This six-hour workshop introduces students to the capabilities of ChatGPT and AI in general. It’s also included in the Generative AI Certificate for a more comprehensive experience.

Generative AI for Video or Motion Graphics

Another module in the Generative AI Certificate program is AI for Video & Motion Graphics. This six-hour class explores the history and applications of AI, with a focus on video editing and motion graphics. While applicants should be familiar with motion graphics principles and terminology, the module is accessible to creatives looking to integrate AI into their workflows, making it a valuable part of the full certificate program.

AI for Workplace Productivity

Task automation has become essential for busy professionals, and AI for Workplace Productivity covers how to leverage AI tools for automating everyday tasks. This six-hour course includes training in project management, data analysis, decision-making, and more. Like the other modules, this class is available individually or as part of the Generative AI Certificate program.

AI for SEO, SEM, and Social Media Marketing

Marketing and advertising professionals should learn AI for task automation and campaign development, though its applications extend well beyond those areas. Another training module within the Generative AI Certificate is AI for Marketing, which covers topics such as search engine optimization (SEO), search engine marketing (SEM), and email marketing. Review the course listing for more details, including prerequisites and enrollment information.

How Hard is It to Learn AI?

The degree of difficulty in learning AI tools and skills depends on several factors, including:

Previous experience
Existing skill set
The length and breadth of training

Of course, general familiarity with AI as a concept differs significantly from mastering its various tools. For example, most computer users recognize chatbots, but far fewer understand how to build or fine-tune one. Similarly, many digital professionals are familiar with programming languages like Python or JavaScript and tools like Excel or PowerPoint. However, applying AI within these platforms requires a higher level of knowledge. Consider enrolling in an AI-focused course or certificate program to build those skills and boost productivity.

What Are the Most Challenging Parts of Learning AI?

For many newcomers, the most challenging aspects of learning AI are technical. Advanced tools like GPT-4o or the Google AI platform often require structured training for users to leverage their full capabilities.

Course difficulty is also an important consideration. Some classes include prerequisites, while others are beginner-friendly. For professionals aiming to stay competitive in the evolving tech landscape, a program like the Generative AI Certificate is an excellent way to integrate AI tools into the workplace. Organizations may also consider group training options for teams.

How Long Does It Take to Learn AI?

Artificial intelligence is a vast and multifaceted field. Becoming comfortable experimenting with AI typically takes less time than achieving professional-level expertise. Tech professionals such as Machine Learning Engineers, Mechanical Engineers, and Data Analysts may already have years of experience using AI tools. Meanwhile, companies continue to adopt AI in areas like customer service and digital marketing.

Pursuing AI in your desired field may require a commitment of 80 to 90 hours of study and hands-on practice, depending on your goals. The investment of time and effort can lead to significant career advancement. Before enrolling, consider the tools and applications that align best with your professional path.

Should I Learn AI in Person or Online?

Another consideration for AI beginners is whether to learn through in-person training, live online classes, or on-demand videos. Your decision will likely depend on personal preference, as each learning format offers distinct pros and cons.

In-person courses offer a high level of student engagement. For many learners, nothing can fully replicate the immediacy and interaction of an in-person learning experience. A live instructor and an engaged classroom environment make this format appealing. However, drawbacks may include commuting time, scheduling conflicts, or parking logistics.

Many students today opt for live online courses, and some even prefer them over traditional in-person training. Virtual classrooms provide comparable engagement and allow you to learn from home or the office. Another advantage is flexibility: live online classes can be taken from anywhere with an internet connection, expanding your access to top instructors and programs.

On-demand learning is a third option that comes with its own benefits and limitations. On-demand videos may suit learners with non-traditional schedules, such as those working evening or overnight shifts. However, asynchronous formats offer far less interaction than in-person or live online training. Additionally, some paid on-demand courses may offer little more value than freely available online content. If you choose to learn AI through on-demand videos, select a highly rated course from a reputable provider.

Can I Learn AI Free Online?

Although you can find free online resources such as videos and articles to learn about AI, developing professional-level skills typically requires an investment of time and money. That said, using free content as a starting point is a great way for beginners to explore AI topics. You might start with resources like the Noble Desktop YouTube channel or the Learn Hub to get a feel for branches of AI, such as machine learning. You may also find free on-demand content from platforms like Amazon, Google, Databricks, or Coursera. Once you've identified the tools you need to learn and your desired skill level, you can select a formal course or certificate program to continue your education.

What Should I Learn Alongside AI?

What you should learn alongside AI depends on several factors, such as your current skills and your intended career path. The following complementary skills and topics are especially useful in many AI-related roles:

Data Analytics—Data analysis training is essential for many tech roles, including Business Intelligence Analysts, Data Analysts, and Machine Learning Engineers. Data analytics and AI go hand in hand. While you may already have some experience with data, AI can help streamline processes, improve forecasting accuracy, and enhance decision-making.
Computer Programming Languages—Various programming languages are critical for AI-focused careers. These include classic languages like Python and JavaScript, as well as C++ and Julia. If you're already working in tech, you may be familiar with several of these. If you're new to the field, determine which languages align best with your AI goals.
Data Visualization—Top data visualization tools such as Power BI and Tableau are foundational in careers like data analysis, data science, and business analytics. These tools help users collect, visualize, and interpret data, and can be integrated with AI platforms like Google AI, IBM Watson, or Microsoft Azure AI.

Industries That Use AI

Chicago is widely known as the Windy City, but locals recognize it as a vibrant Midwestern economic hub. Key industries in Chicago that rely on AI include finance, information technology (IT), healthcare, and advanced manufacturing. The Chicago-Joliet-Naperville, Illinois area features a dynamic workforce, with continued growth in sectors like healthcare and manufacturing. Below is an overview of business sectors where AI is already a vital component—and will continue to play a major role in the future.

Banking, Financial Services, and Insurance (BFSI)

Banking and financial services are crucial to the Chicago economy, contributing more than $132 billion in nominal gross domestic product (GDP). When insurance is included, the BFSI sector stands as one of the top industries in the region. AI roles in BFSI include Algorithm Developers and Research Scientists, with managers and executives increasingly incorporating AI tools into their decision-making processes.

Information Technology (IT)

Chicago boasts the fifth-largest startup ecosystem in the country, making innovation and tech development central to its identity. IT professionals, including AI Engineers, frequently work within technology departments to build and implement AI systems. IT jobs requiring AI expertise are rapidly expanding. These professionals are unlikely to be replaced by AI anytime soon, as customers continue to prefer human Help Desk Technicians over automated chatbots for support.

Life Sciences & Healthcare

The life sciences and healthcare sectors are among the most significant industries in Chicago. Institutions such as research universities and federal development centers contribute heavily to the region’s healthcare ecosystem. AI plays a key role in helping scientists develop smart machines capable of diagnosing medical conditions and supporting clinical workflows.

Manufacturing

Manufacturing has long been a foundation of Chicago’s economy. The city remains one of the largest manufacturing centers in the U.S., with an ecosystem ripe for innovation. AI is transforming manufacturing operations through robotics, optimized supply chains, and streamlined assembly processes, among other innovations.

Transportation, Distribution & Logistics

Chicago serves as the nation's primary transportation, distribution, and logistics hub, uniquely positioned to take advantage of AI technologies. AI tools support improvements in carrier selection, inventory management, and demand forecasting. Many companies are now using the Internet of Things (IoT) and AI to enhance supply chain efficiency.

Other industries in Chicago that benefit from AI include professional and business services, construction, retail, and hospitality.

AI Classes Near Me

Chicago-area residents can access a variety of AI courses, ranging from short seminars to immersive certificate programs. While some learners may prefer local in-person options, many high-quality programs are available both in-person and live online via teleconferencing platforms.

FinTech Bootcamp — Practical Programming provides numerous training options for both tech novices and experienced professionals, including machine learning (ML), Python data science, and full-stack web development. The comprehensive FinTech Bootcamp includes 114 hours of focused training designed to prepare students for entry-level roles in data science or financial technology. Topics covered include ML for financial modeling, data visualization, Python for finance, Dash Enterprise, Matplotlib, Plotly, and Seaborn. Refer to the course listing for more details on prerequisites, schedules, and enrollment options.
Artificial Intelligence (AI): Prompt Engineering — Another course available to Chicago-area residents is the Artificial Intelligence (AI): Prompt Engineering program from Computer Training Source. This beginner-friendly course is available in person at the Schaumburg location or live online from anywhere. Participants learn essential prompt engineering techniques, including information extraction, question-and-answer generation, and text summarization. The curriculum also covers how to use AI for research, writing, editing, and proofreading, as well as how to generate visual content with AI, such as diagrams, illustrations, and images.
Digital Marketing Workshop — Boot Camp Digital is another respected training provider that offers courses to Chicago-area residents. Their four-day Digital Marketing Workshop is available in person at Chicago's Aon Center or live online from anywhere with an internet connection. Topics include digital marketing strategies, search engine optimization (SEO), digital campaigns, social media and email marketing, and selecting key performance indicators (KPIs) to measure campaign success. Graduates receive a digital certificate of completion and continued access to course materials for up to three months at no additional cost.

AI Corporate Training

Corporate and onsite training is an ideal solution for busy professionals and teams: employees receive focused, hands-on instruction in a group or one-on-one format, either onsite or remotely. Noble Desktop offers both in-person and live online corporate training and can tailor programs to your team's goals and skill level.

For added flexibility, Noble also provides discounted vouchers for its open-enrollment AI courses. Companies can purchase vouchers in bulk to give their employees scheduling freedom while receiving a group discount. Popular AI training topics include AI for Workplace Productivity, AI for Marketing, AI for Graphic Design, AI for Excel, AI for Data Analytics, AI for Video and Motion Graphics, AI for Python, and Generative AI with ChatGPT.

Want to explore Noble Desktop’s AI training options for your organization? Contact their corporate training team today for more information or to schedule a free consultation.

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Key Insights

Learn More About Chicago AI Courses

What Can You Do with AI Training?

What Will I Learn in an AI Class?

Data Visualization with AI Tools

ChatGPT

Generative AI for Video or Motion Graphics

AI for Workplace Productivity

AI for SEO, SEM, and Social Media Marketing

How Hard is It to Learn AI?

What Are the Most Challenging Parts of Learning AI?

How Long Does It Take to Learn AI?

Should I Learn AI in Person or Online?

Can I Learn AI Free Online?

What Should I Learn Alongside AI?

Industries That Use AI

Banking, Financial Services, and Insurance (BFSI)

Information Technology (IT)

Life Sciences & Healthcare

Manufacturing

Transportation, Distribution & Logistics

AI Classes Near Me

AI Corporate Training

Chicago AI Corporate & Onsite Training Noble Desktop

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