Best AI Classes Pittsburgh, PA: Find Courses & Onsite Training

Learn More About Pittsburgh AI Courses

What is AI?

Artificial Intelligence (AI) is at the forefront of nearly every field these days. In its simplest form, AI is a collection of computer systems that can perform complex tasks normally done by people like reasoning, decision-making, and creating. These intelligent machines analyze large databases of information using algorithms to identify patterns and relationships, so that they can learn and evolve over time.

The groundwork for AI began in the early 1900s but the biggest strides weren’t made until the 1950s. The real applications of modern AI were able to be seen in the early 2000s; in 2003, NASA landed two rovers on Mars (Spirit and Opportunity) that navigated the surface of the planet without human intervention. In 2010, Microsoft launched the Xbox 360 Kinect, the first gaming hardware designed to track body movement and translate it into gaming directions, and Siri became a critical feature of every iPhone starting in 2011. The rapid growth of AI has been met, generally with a warm welcome. But, there are concerns around the consequences of AI, its impact on the environment, and the ways we need to control it. Overall, AI is a fascinating tool with limitless applications, so mastering it can lead to a lot of exciting career opportunities.

What Can You Do with AI Training?

As previously mentioned, you can do almost anything with AI. Need to write a stellar business proposal or elevate your resume to stand out? You can use AI to help you craft engaging content that incorporates all your key words and phrases and appeals to your target audience. AI can help with formatting and word choice, thereby alleviating some of the tedious work for you.

Speaking of tedious, AI can also help you automate tasks. You can use AI to generate reports,, brainstorm, segment data, clean up code, or create base code, or translate text from another language. Through task automation, you can streamline workflows, reduce human error, and increase operational efficiency.

Do you own a business and struggle to keep up with incoming customer service requests? Artificial intelligence can help solve basic and common customer service inquiries through features like chatbots, minimizing the overall load for your customer service team so they can focus on the more sensitive or complicated requests. AI can also help with customer onboarding by automating those processes as well.

As you can see, AI has many applications, and this is just a short list of examples. To learn more about what AI can do, how you can use it, and what it can do for your career, keep reading below.

What Will I Learn in an AI Class?

While the exact curricula will vary from one bootcamp to the next, most will typically cover the big hitters. Through project-based learning, you’ll master the below skills and knowledge to help you take your career to the next level.

Machine Learning Fundamentals

Machine learning (ML) includes data, algorithms, training, testing, and evaluation. ML is a type of AI that allows computers to learn from data and make decisions. A bootcamp will cover topics like supervised learning algorithms (linear regression, logistic regression, decision trees), unsupervised learning algorithms (clustering), and model evaluation metrics.

Deep Learning

Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain. The main difference between deep learning and machine learning is the structure of the underlying neural network architecture. Traditional machine learning models use simple neural networks with one or two computational layers. Deep learning models use three or more layers—but typically hundreds or thousands of layers—to train the models. A bootcamp will typically cover neural networks architecture (CNNs, RNNs), backpropagation, and how to train deep learning models.

Natural Language Processing (NLP)

NLP deals with how computers understand, process, and manipulate human languages. Natural language processing enables computers and digital devices to recognize, understand and generate text and speech by combining computational linguistics with statistical modeling, machine learning and deep learning. A bootcamp will most likely cover the basics like text preprocessing, sentiment analysis, and text classification.

Data Analysis and Visualization

In AI, you can apply algorithms to clean, transform, and analyze large datasets to identify patterns, trends, correlations, and anomalies. Once the data is analyzed, artificial intelligence can translate the insights into visuals like bar charts, scatter plots, heatmaps, or interactive dashboards, making complex information easier to grasp. Most AI courses will cover data analysis and visualization since they are some of the most popular uses for AI.

Programming Languages and Frameworks

There are four programming languages commonly needed for working with AI: Python, Java, C++, and Julia. Python is often used because of its simple learning curve, extensive community of support, and variety of uses. It can also simplify code too, and developers often use it for AI projects that require handling large volumes of data or developing models in machine learning.

Ethics

Bootcamp courses will also most likely at least touch on ethics in AI. This can include the practice of ensuring that artificial intelligence (AI) is developed and used in a way that is fair, accountable, and transparent. Ethics in AI also includes protecting human rights and preventing discrimination. The ever-evolving nature of AI requires ongoing conversations about ethics to ensure that it remains a helpful (not harmful) tool.

How Hard is it to Learn AI?

With the right essential knowledge and skills, artificial intelligence isn’t hard to learn. While certain aspects of AI can be challenging, it is generally considered fairly easy to master the basics. It’s helpful if you have a proclivity for math, science, or programming, but even if you don’t, a bootcamp will train you in all the essential skills that you need. Generally speaking, with the right amount of commitment and passion, anyone can master AI.

What Are the Most Challenging Parts of Learning AI?

Arguably, programming and data management are the most challenging parts of learning AI. Artificial intelligence works on algorithms and data learning so in order to develop and implement these models on computers, you must learn programming languages (R, Python, or MATLAB) and have basic coding skills. Learning programming languages and coding isn’t a cup of tea for everyone. Each language has distinct syntax and structure, making it hard for beginners to get a hang of. Additionally, managing and analyzing data are the core of AI functions. As an AI expert, you’d handle the missing values and deal with the outliers, which may seem intimidating to beginners.

How Long Does it Take to Learn AI?

It typically takes beginners starting from scratch around six months to a year to fully master AI. While this may seem like a long time, there are several factors you need to keep in mind. The type of course (and whether you attend full time or part time) can impact how long it takes, as can your previous experience and current math skills. It’s also important to remember that if you’re only looking to master beginner to intermediate skills, this can typically be done in much less time, say a matter of a few weeks to months.

Should I Learn AI In Person or Online?

When choosing between the two, there are a lot of factors you need to consider. In-person classes are held on location at scheduled times and offer face-to-face interaction with your fellow students and your expert instructor. If you encounter any challenging material, you can ask questions in real time instead of spending unnecessary time figuring it out on your own. You are also able to work with other students, allowing you to practice teamwork skills and build relationships. This collaborative environment is available for both full-time and part-time classes and provides structure and accountability, two things that can help you succeed. In-person classes do have downsides, though. Their more traditional format may be too structured or rigid for your schedule.

If in-person isn’t for you, then you could try an online option. There are three general online course styles: live virtual, self-directed, and on-demand. Live virtual courses are considered the middle ground between on-demand and in-person classes. You’ll attend scheduled class times from the comfort of your own home (or wherever you choose) to learn from an expert instructor. Live online classes offer instant feedback from your teacher and interactions with other students, creating the opportunity for a deeper understanding of the coursework. These classes are ideal for students that thrive in a structured learning environment but perhaps don’t live near any in-person offerings. Or, if you simply prefer online learning, then a live virtual class could be for you.

Self-directed and on-demand courses are a flexible online option for those with complicated schedules. You can attend from anywhere you choose and complete each lesson on your own time, so you can speed through easy sections and spend more time on challenging ones. Self-directed courses still have additional support and guidance from instructors or mentors, albeit with slightly more of a delay, while on-demand courses may not.

Can I Learn AI for Free Online?

You could take advantage of free resources like Noble Desktop’s YouTube channel, making the most of the insights, tools, and short tutorials made available by industry experts. Coursera also boasts hundreds of various training sessions and videos lasting from just a few minutes to a few days. While free resources are financially helpful, this method can take the most time. You’ll be responsible for sourcing all your learning materials and ensuring that you’ve covered all the important subjects of AI, and this process can take a substantial amount of time. Additionally, like on-demand courses, it’s easy to lose motivation and fall behind with free resources, so you’ll need to be an extremely motivated and responsible student.

What Should I Learn Alongside AI?

There are several additional fields of study you could consider learning alongside AI. It’s highly recommended that you brush up on your math skills, particularly in subjects like algebra, calculus, and statistics as these all come into play with the algorithms used in artificial intelligence programs. Programming languages are also a great idea; Python, Java, C++, and Julia are all worthwhile options. Python is the most popular thanks to its ease of use, extensive libraries, and suitability for data analysis, so mastering this specific programming language can be very useful for a career in AI.

Industries that Use AI

Known as “Steel City”, Pittsburgh is becoming equally well known as an ideal location for working with AI. Several industries are thriving in the region, each of which will have a need for AI experts for a variety of roles.

Advanced Manufacturing

Top manufacturing companies in Pennsylvania are based in the Pittsburgh area, including Coherent, Eos Energy Enterprises, U.S. Steel and Wabtec. Additionally, the industry’s expertise in advanced materials, engineering, smart factories and R&D has made Pittsburgh a future-focused laboratory for industries like next-generation metals, advanced materials, additive manufacturing, coatings and chemicals. The U.S. Economic Development Administration even awarded the region a $62.7M federal Build Back Better Regional Challenge grant. As part of that grant, the Pittsburgh region will accelerate the commercialization of robotics technologies in manufacturing and other industries.

Energy

Pittsburgh and Western Pennsylvania have been energy capitals since the middle of the 19th century when Westinghouse Electric Corporation was founded. Approximately 970 firms employ over 29,000 energy workforce members and generate a whopping $16.2 Billion GRP. The region offers valuable natural gas resources but is now also focused on renewable energy sources, such as hydropower, nuclear energy, geothermal energy and biofuels.

Life Sciences and Healthcare

Home to two world-class hospital systems, Allegheny Health Network and University of Pittsburgh Medical Center (UPMC), and as one of the region’s largest sectors by employment, Pittsburgh is attractive to top talent and R&D investment dollars. Over 133,000 people are employed across 5,800 establishments, making life sciences one of the region’s largest industries by employment.

Finance and FinTech

At the center of modern banking, Pittsburgh is home to financial service companies like PNC Financial Services Group, Inc., ranked as the sixth-largest retail bank in the United States. There’s also BNY Mellon, which has its largest global workforce stationed in Pittsburgh. All this solidifies our region’s stature as the preferred headquarters for esteemed financial institutions. The city is ranked #1 in FinTech job growth and currently boasts over 61,000 professionals employed in this sector.

AI Job Titles and Salaries

AI Specialist

One possible career path is to become an AI Specialist. You’d create and train machine learning models, analyze large datasets, and develop solutions tailored to specific business needs. This role collaborates closely with data scientists, software developers, and business stakeholders to ensure the successful deployment and integration of AI technologies. As an AI Specialist, you can expect to earn between $70,000-$100,000 in Pittsburgh.

AI Engineer

With a little more experience, you could become an AI Engineer and design, develop, and maintain AI-based systems. You would use machine learning, programming, and data analytics to create applications that can learn and make decisions. You can make around $147,000 as an AI Engineer in Pittsburgh.

Language Model Trainer

You could also become a Language Model Trainer and be responsible for developing and training a language model, which is a type of artificial intelligence designed to understand and generate human language. You would be the expert who guides the process of teaching a computer to process and generate human-like language. Also referred to as a Language Engineer, you can make around $142,000 in Pittsburgh in this position.

AI Data Scientist

As an AI Data Scientist, your main responsibility would be to create AI models that improve natural language understanding, computer vision, and recommendation systems. You would collect, store, and secure data; clean and prepare raw data; and use statistical analysis to derive insights from data so you can develop fine-tuned AI models. You could make around $108,000 on average, with some professionals earning closer to $150,000 with a few years of experience.

AI Classes Near Me

Generative AI with ChatGPT

This online class from Noble Desktop offers an immersive and insightful journey into the world of generative AI where you’ll learn how to use ChatGPT (a cutting-edge large language model) to generate text, ideas, images, and solutions across a wide range of applications. You’ll gain a comprehensive understanding of the underlying technology and explore practical use cases, from content generation to problem-solving. You’ll use hands-on exercises and demonstrations to witness the power of generative AI in action so that, by the end of the course, you’ll be equipped with the knowledge and skills to leverage generative AI for innovative projects and applications.

Data Science & AI Certificate

This immersive program from Noble Desktop will teach you how to manipulate databases and perform data analysis. You’ll study Python programming fundamentals and how to use its main data science libraries to analyze data. You’ll also read and write complex database queries, prepare and clean data for analysis, and use Python to automate everyday tasks such as aggregating, updating, and formatting data. From there, you’ll create machine learning models, and make dashboards and visualizations. Throughout the program, you'll work on real-world projects that align with industry standards and receive 1-on-1 mentoring to refine your skills, get feedback on your work, and prepare for job interviews.

AI for Business with ChatGPT & Copilot

Also from Noble Desktop, this course will delve into the world of generative AI with the tool everyone’s talking about: ChatGPT. You’ll learn to craft effective prompts, manage chats, and leverage advanced features such as ChatGPT’s custom instructions and memory. This course also covers the distinctions between various GPT models and plans, data privacy, and ethical considerations of AI. From there, you’ll move onto Microsoft Copilot and its uses for overall workplace productivity, specifically how it can revolutionize how you use Microsoft Office (365) apps and communicate within your organization. With practical examples and recommendations of what you can do to empower yourself and save time, you will implement AI solutions that boost efficiency, drive innovation, and prepare you for the future of work.

Data Science Bootcamp

Offered by General Assembly, this course will teach you to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, Power BI, and Python – tools listed in virtually every data analytics job posting across industries.

AI Corporate Training

Thanks to Noble Desktop’s extensive experience developing curricula, they can also provide corporate and on-site training in AI. With corporate and on-site training, you can order vouchers in bulk at a discount and choose which courses are available to employees. Custom training curriculum, comprehensive support materials, instructors who are industry professionals, and flexible scheduling give you and your employees more control over their continued learning. You can discuss your training needs free of charge by contacting corporate@nobledesktop.com.

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AI Classes & Bootcamps

Learn More About Pittsburgh AI Courses

What is AI?

What Can You Do with AI Training?

What Will I Learn in an AI Class?

Machine Learning Fundamentals

Deep Learning

Natural Language Processing (NLP)

Data Analysis and Visualization

Programming Languages and Frameworks

Ethics

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 for Free Online?

What Should I Learn Alongside AI?

Industries that Use AI

Advanced Manufacturing

Energy

Life Sciences and Healthcare

Finance and FinTech

AI Job Titles and Salaries

AI Specialist

AI Engineer

Language Model Trainer

AI Data Scientist

AI Classes Near Me

Data Science Bootcamp

AI Corporate Training

Pittsburgh AI Courses by School

Developer Bootcamp

Pittsburgh AI Corporate & Onsite Training Noble Desktop

AI Training Locations in or Near Pittsburgh

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