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 the branch of computer science focused on creating machines that can perform tasks that typically require human intelligence. These tasks include problem-solving, learning, perception, language understanding, and decision-making. AI systems are designed to mimic cognitive functions such as recognizing patterns, understanding language, and adapting to new situations. There are two main types of AI: narrow AI, which is specialized in specific tasks like image recognition or speech translation, and general AI, which is a theoretical concept of machines that possess human-like intelligence across a wide range of activities.
The history of AI dates back to the mid-20th century, when the concept was first formalized by pioneers like Alan Turing, who proposed the idea of machines that could “think.” The term “Artificial Intelligence” was coined by John McCarthy in 1956 during the Dartmouth Conference, marking the official beginning of AI as a field of study. Early AI research focused on symbolic reasoning and problem-solving, but progress could not have been faster due to limitations in computing power.
Over the decades, AI experienced periods of optimism and setbacks, often called “AI winters,” where progress stalled. However, the field saw a resurgence in the 21st century with the advent of powerful computing resources, big data, and advanced machine learning techniques, leading to significant breakthroughs and the integration of AI into everyday life. Today, AI is a rapidly growing field with applications that we encounter in our daily lives, from virtual assistants and autonomous vehicles to healthcare diagnostics and financial forecasting, highlighting how integral AI has become in everyday life.
With AI training, you can explore a world of possibilities, engaging in diverse, innovative projects that leverage the power of machine learning, data analysis, and automation to solve complex problems.
For example, you could develop predictive models that analyze historical data to forecast future industry trends like finance, retail, or healthcare. These models can help businesses optimize operations such as improving supply chain management, enhancing customer experiences through personalized recommendations, or predicting market movements to inform investment strategies. AI training also equips you to work on natural language processing (NLP) projects, enabling you to create intelligent chatbots, automated customer support systems, or tools that analyze and interpret large volumes of textual data, such as sentiment analysis for social media or automated content moderation. The versatility of AI training means you can apply your skills in a wide range of fields, from finance to healthcare to retail, and beyond.
Beyond predictive modeling and NLP, AI training allows you to delve deeper into computer vision, a field where AI is used to interpret and understand visual data from the world. This could involve creating AI-driven systems for facial recognition, autonomous vehicles, or medical imaging, where AI helps detect anomalies in X-rays or MRIs with a precision that surpasses human experts. Additionally, AI training opens up possibilities in robotics and automation, where you can design systems that perform complex tasks autonomously, such as drones for environmental monitoring, robots for precision manufacturing, or automated systems for logistics and warehousing.
AI training also empowers you to contribute to socially impactful projects such as AI for social good. You could work on initiatives that use AI to tackle environmental challenges, improve public health, or enhance education. For example, AI can be used to analyze climate data to predict natural disasters, develop personalized learning platforms for students, or optimize the distribution of resources in humanitarian efforts. These applications highlight the broad potential of AI training, enabling you to create meaningful solutions across various domains, whether for personal projects, research, or industry innovation. Your work in AI can truly make a difference in the world.
In an AI class, you’ll learn about machine learning algorithms, which are the core tools used to create AI models. These algorithms enable systems to identify patterns in data and make predictions or decisions based on that data. Understanding different types of machine learning algorithms, such as supervised learning, unsupervised learning, and reinforcement learning, is crucial because they form the foundation of AI applications. You’ll need to learn these algorithms to build and refine AI models, allowing you to tackle a wide range of tasks, from classification and regression to more complex challenges like game playing or autonomous driving.
Data preprocessing is another critical skill you’ll acquire in an AI class. This involves cleaning, transforming, and organizing raw data into a format that can be used effectively by machine learning algorithms. Since AI systems rely on large datasets to learn and improve, mastering data preprocessing is essential for ensuring that the data fed into your models is accurate, relevant, and free from noise. Properly preprocessed data leads to better model performance and more reliable outcomes, making this skill indispensable in the development of AI systems.
Programming, particularly in languages like Python, is a fundamental skill in AI. Python is widely used in the AI community due to its simplicity, readability, and the extensive libraries available for machine learning, data analysis, and deep learning. In an AI class, you’ll learn to write code that implements AI algorithms, manipulates data, and builds models. Programming skills are necessary because they allow you to experiment with AI concepts, develop custom solutions, and deploy AI models into real-world applications, making your work both practical and impactful.
Model evaluation and validation are key components of AI development that you’ll explore in an AI class. These skills involve assessing the performance of AI models using various metrics and techniques, such as cross-validation, to ensure they generalize well to new, unseen data. Learning how to properly evaluate and validate models is crucial because it helps you avoid common pitfalls like overfitting, where a model performs well on training data but poorly on real-world data. By mastering these techniques, you can build AI systems that are both accurate and reliable.
An AI class will also help you develop problem-solving and critical thinking skills, which are essential soft skills in AI. Working with AI involves tackling complex, often ambiguous challenges that require innovative solutions. You’ll need to break down problems, analyze various approaches, and think critically about the trade-offs between different AI techniques. This skill is relevant not only in designing and optimizing AI models but also in deciding when and how to apply AI solutions to real-world problems. Cultivating strong problem-solving abilities enables you to approach AI projects with confidence and creativity.
Learning AI can be challenging, but the difficulty largely depends on your background and the depth of expertise you aim to achieve. If you have a solid foundation in programming, mathematics, and data analysis, becoming familiar with basic AI concepts and tools is attainable within a few months to a year of consistent study. This level of understanding allows you to experiment with simple AI projects and grasp foundational concepts like machine learning and data preprocessing. However, mastering AI and reaching an expert level is significantly more demanding. It requires deep knowledge of complex algorithms, extensive hands-on experience with real-world data, and the ability to design and implement sophisticated AI models. Achieving this level of proficiency typically takes several years of dedicated learning and continuous practice. Equally important is staying updated with the rapidly evolving AI landscape, as adaptability is key in the field of AI.
The most challenging aspects of learning AI often involve grappling with the mathematical foundations and complex algorithms that underpin AI systems. Concepts like linear algebra, calculus, probability, and statistics are critical for understanding how AI models function, and these can be particularly difficult for those without a strong background in math. Additionally, the vastness of AI, with its various subfields like machine learning, deep learning, and natural language processing, can be overwhelming. Another significant challenge is the practical application of AI—learning how to effectively implement models, tune hyperparameters, and work with large datasets in real-world scenarios. Moreover, keeping up with the rapid advancements in AI technology requires continuous learning, which can be both time-consuming and intellectually demanding.
Becoming comfortable experimenting with AI typically takes a few months to a year, depending on your prior experience in programming, mathematics, and data analysis. During this time, you can grasp the basics of machine learning algorithms, data preprocessing, and using AI frameworks like TensorFlow or PyTorch, allowing you to build and experiment with simple AI models. However, reaching a professional level in AI, where you can design, implement, and optimize complex models for real-world applications, generally requires several years of dedicated study and practice. This level of expertise involves mastering advanced algorithms, gaining deep hands-on experience with large datasets, and staying updated with the latest developments in the rapidly evolving field of AI.
When deciding whether to learn AI in-person or online, it’s important to understand the differences between the available learning formats: in-person learning, live online learning, and asynchronous online learning. Each format has its own set of benefits and challenges, depending on your personal learning style, schedule, and goals.
In-person learning offers the advantage of direct, face-to-face interaction with instructors and peers, which can be particularly valuable when tackling complex AI concepts. The structured classroom environment allows for immediate feedback, hands-on support, and collaborative learning experiences. This format is ideal for those who thrive in a disciplined, routine-based setting and benefit from the social aspect of learning with others. However, in-person learning requires you to be physically present at a specific location and time, which might not be convenient for everyone, especially those with busy schedules or who live far from educational institutions.
Live online learning provides a middle ground, combining the benefits of real-time interaction with the flexibility of remote access. You can participate in live sessions from anywhere, allowing you to engage with instructors, ask questions, and collaborate with classmates in real-time. This format is perfect for those who want the structure of scheduled classes without the need to commute. However, it still requires you to be available at specific times, which may not suit everyone’s schedule, and the experience might lack the immediacy and personal connection of in-person learning.
Asynchronous online learning offers the highest level of flexibility, allowing you to learn AI at your own pace, on your own schedule. This format is ideal for those who need to balance their studies with work or other commitments, as you can access course materials and complete assignments whenever it’s most convenient for you. However, the lack of real-time interaction can be a disadvantage if you prefer immediate feedback or collaborative learning. Asynchronous learning also requires a high degree of self-discipline and motivation, as it’s easy to fall behind without the structure of scheduled classes.
Ultimately, the best format for learning AI depends on your individual needs. In-person and live online learning are great for those who benefit from real-time interaction and structured environments, while asynchronous learning is ideal for those who need maximum flexibility and are comfortable with self-directed study.
When learning AI, it’s essential to complement your studies with skills that enhance your ability to develop, implement, and optimize AI models effectively. One of the most crucial skills is programming, particularly in languages like Python, which is widely used in AI due to its simplicity and the vast array of libraries available, such as TensorFlow, PyTorch, and scikit-learn. Understanding Python enables you to write and tweak algorithms, manipulate data, and deploy AI models. Additionally, learning other languages like R can be beneficial, especially if you’re working with statistical data analysis or machine learning in specialized fields.
Another vital skill to learn alongside AI is data science, which includes data analysis, data visualization, and statistical methods. AI heavily relies on data, so being proficient in data manipulation, cleaning, and interpretation is critical for building accurate and meaningful AI models. Tools like SQL for database management and Tableau or Power BI for data visualization can help you handle and present data effectively.
Additionally, gaining knowledge in cloud computing platforms like AWS, Google Cloud, or Azure is valuable, as these platforms provide the infrastructure needed to scale AI solutions and manage large datasets.
Understanding DevOps practices and version control systems like Git will also be beneficial, particularly for managing AI projects in a collaborative environment. These complementary skills are essential for anyone looking to excel in AI and apply it successfully in real-world scenarios.
In Washington, D.C., AI is increasingly being adopted across a variety of industries that are central to the region’s economy and public life. As the nation’s capital, Washington, D.C., is home to numerous federal agencies, nonprofit organizations, think tanks, and public service entities, all of which are beginning to integrate AI into their operations to enhance efficiency, decision-making, and public engagement. The key industries leveraging AI in Washington, D.C. include government and public administration, healthcare, legal services, and nonprofit organizations focused on social impact and civil engagement. Each of these sectors plays a crucial role in the region’s landscape, and AI is being utilized in ways that are transforming how they operate and deliver services.
Washington, D.C., is the heart of the U.S. federal government, making government and public administration one of the most significant industries in the area. AI is increasingly being used by federal agencies to improve decision-making, automate routine tasks, and enhance the delivery of public services. For instance, AI is employed in predictive analytics to forecast economic trends, manage public resources, and improve national security measures. Additionally, AI-driven chatbots and virtual assistants are being used to handle citizen inquiries, process applications, and provide real-time information to the public, thereby increasing efficiency and reducing operational costs.
The healthcare industry in Washington, D.C., is a major sector where AI is driving innovation. Leading institutions such as MedStar Health, Children’s National Hospital, and Howard University Hospital are using AI to enhance patient care and advance medical research. Applications include diagnosing diseases through medical imaging, predicting patient outcomes, and personalizing treatment plans using patient data. AI is also instrumental in public health initiatives led by organizations like the Centers for Disease Control and Prevention (CDC) and the National Institutes of Health (NIH), helping track and analyze health trends, manage disease outbreaks, and optimize healthcare delivery in underserved communities.
Washington, D.C., is a hub for the legal industry, home to major law firms like Covington & Burling, Arnold & Porter, and regulatory agencies such as the Federal Trade Commission (FTC). AI is transforming legal services by automating document review, legal research, and case analysis. These tools can quickly sift through vast amounts of legal data to identify relevant precedents, predict case outcomes, and streamline compliance processes. In regulatory and public policy work, AI helps legal professionals navigate complex frameworks and provide more informed advice.
Washington, D.C., is also a center for nonprofit and public service organizations incorporating AI to expand their impact. Groups like the United Way of the National Capital Area, the Nature Conservancy D.C. Chapter, and Food & Friends use AI to optimize fundraising, analyze social issues, and improve service delivery for vulnerable populations. AI-driven data analysis enables these organizations to better understand community needs, evaluate program effectiveness, and allocate resources efficiently. In the public sector, agencies and initiatives leverage AI to enhance civic engagement, analyze public sentiment, and support data-driven decision-making for addressing social challenges.
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 New York City or live online (if you’re in the Washington, D.C. 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 New York City or live online (if you’re in the Washington, D.C. 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.
Noble Desktop offers comprehensive corporate training solutions designed to upskill or reskill your workforce in essential digital skills. Whether you need to enhance your team’s capabilities in data analysis, business operations, design, or coding, Noble Desktop provides flexible training options to meet your organization’s needs. You can choose to have the training conducted onsite at your location, bringing expert instructors directly to your team for a hands-on, immersive experience. Alternatively, Noble Desktop’s live online training allows your employees to participate from anywhere, maintaining the same level of interactivity and personalized instruction as in-person sessions. This ensures that your team can access high-quality training without any location constraints.
In addition to customized corporate training, Noble Desktop also offers the option to buy discounted bulk vouchers for digital skills courses. These vouchers allow your employees to attend regularly scheduled classes at a reduced rate, providing an affordable way to enhance their skills in a wide range of topics, including AI, data science, and more. This flexible approach allows you to tailor the training to your team’s specific needs while taking advantage of cost-effective solutions. To learn more about how Noble Desktop can support your corporate training goals and to get started, contact corporate@nobledesktop.com.
As the nation’s capital, Washington, D.C., is a hub for government, public service, and major organizations, which means there’s ample opportunity for professional development. If you’re looking to expand your knowledge in the field of tech, data, business, or design, you can explore training options available to both individuals and federal professionals. Classes are right in the heart of the city, offering knowledgeable instructors with decades of combined training and a wide range of specializations. From their real-world experience in the field, these instructors provide valuable insights that help students get comfortable while learning the material. Not to mention, the skills they develop in the classroom are practical and transferable, meaning students can put their newfound knowledge right to work.
Training with Noble Desktop’s team is easy with the modern facilities located at 600 Maryland Avenue SW, Washington, D.C., 20024. It’s mere steps away from L’Enfant Plaza and offers an array of benefits, like a professional yet welcoming environment and a modern workspace. Getting there from anywhere in D.C. is straightforward, whether by Metro, bus, or car. L’Enfant Plaza is served by multiple Metro lines, and there are several bus routes that stop nearby. Those driving can also access parking garages that are easily within walking distance.
AI tools are rapidly reshaping work across D.C.’s government, consulting, and research sectors. With this, the students at Noble Desktop have an opportunity to learn foundational AI concepts and hands-on applications from instructors who show how these technologies support analysis, automation, and modern workforce needs. Learning at this school also offers a wide range of professional development opportunities, with classes led by expert instructors who can help you acquire skills that get you ready for the real world.
Brian is an educator and training leader passionate about helping professionals grow in fields like project management and AI. He designs adaptive learning programs that combine instructor-led sessions, live online experiences, and self-paced study, making training practical and within reach for anyone. Brian’s work also centers heavily around AI integration, particularly in training situations to show organizations how easy it can be applied to the workplace, showing ways to tackle real-world problems, enhance leadership, streamline projects, and support better decision-making. Beyond teaching, he has also developed curricula and led training on a massive scale. Brian’s blend of talents and interests makes him well-positioned to train others and help them navigate the complexities of the subject matter.
With more than 25 years of experience, Clarissa is a seasoned corporate trainer, Project Manager, and Business Consultant and has helped professionals and organizations alike achieve tangible results around the world. Her work has taken her to amazing places around the world, from China to Africa, training over 10,000 participants in leadership, project management, business analysis, and emerging technologies. Clarissa has worked with teams at NASA, Microsoft, Citibank, and FEMA, just to name a few, and is known for designing interactive yet practical sessions where her listeners can apply their skills immediately. At Graduate School USA, she played a pivotal role and contributed to numerous programs, including the Managing for Results course. She’s a quality instructor, focusing on subjects like project management, AI, and even Adobe, and has a heavy commitment to professionalism, innovation, and student success.
Michele’s professional record in Human Resources, organizational development, and leadership training has been acquired over 25 years in the field. She is a Business Strategist and HR innovator who has helped public, private, federal, and higher education organizations on their path to success. In particular, Michele excels in organizational assessment, project and performance management, workforce development, change management, conflict resolution, and AI initiatives. She prides herself on guiding individuals to leverage their strengths while fulfilling their professional lives. Her consulting work includes leading the DC Courts HR Division’s Five-Year Strategic Plan and Workforce Development Program, “Fulfilling Our Future.” She’s also held senior executive positions at Howard University, the Air Line Pilots Association, and Executive Transitions International. She’s currently working as an adjunct faculty at Graduate School USA and Anne Arundel Community College.
Alan Zucker brings real-world expertise from both the federal government and Fortune 100 companies to the classroom. With more than 25 years of professional work in project management, he makes for an ideal instructor. He has managed the project execution organization of 175 professionals, led high-visibility strategic initiatives, and delivered thousands of successful projects. His education began at George Washington University, where he earned his Bachelor’s, before progressing to earn a Master's in Economics from the University of Maryland. Moreover, he holds a wide variety of certifications, such as the Project Management Professional Certification (PMP), PMI-ACP, Disciplined Agile Coach, SAFe Program Consultant, Certified Scrum Professional, and Agile Leadership Academy Trainer. Alan is an active member of the project management community, having served as a keynote speaker, frequent industry commentator, and author of nearly 150 articles on project management.
Tashea is a Human Resources Executive and Federal Consultant, holding over 23 years of experience across multiple federal agencies, including the Departments of Homeland Security, Justice, Treasury, State, and Health and Human Services. Known for her ability to strategize and take the lead, Tahsea has transformed HR policies to align with mission strategies and outcomes, influencing government-wide procedures such as onboarding and pay equity. Tashea is a staunch advocate for ethical leadership, inclusivity, and organizational success. In addition, she prides herself on her authenticity and purpose-driven spirit, which translates into her work as an educator as well. In addition to teaching subjects like AI. She’s an author and entrepreneur, and is always looking for ways to help organizations and individuals alike.
With a strong foundation in federal human resources management and legal counseling, Charles is a highly knowledgeable Employee and Labor Relations Consultant in Washington, D.C. He began his education at Loyola University, earning his B.A. in Business Administration and Political Science, before graduating from the University of Baltimore School of Law. Throughout his career, Charles has guided agencies through complex HR and labor-related challenges, managed HR programs, and represented organizations in legal proceedings. He has also designed and delivered specialized training in human resources, project management, and marketing. Charles’ professional background has led to numerous accolades and awards, showcasing his impact in the field.
Dr. David E. McCullin, better known as Dr. Mac, specializes in strategic communication, homeland security, data analytics, and accurate decision-making. Prior to his work at Graduate School USA, Dr. Mac obtained his Bachelor’s in Engineering, his Master’s in National Security and Strategic Studies, and a Doctorate in Management of Complex Adaptive Systems. He served 24 years in the U.S. Army, including 13 in Special Operations. He later worked at the Department of Homeland Security as an Intelligence and Infrastructure Security Analyst for nearly a decade. Through his education and solid professional career, he has been able to teach students a variety of important skills and has also developed innovative learning tools and games that help improve decision-making and analytical thinking skills.
As a part-time instructor at Graduate School USA for over 15 years, Natalya’s expertise cannot go unnoticed. She’s an educator and has developed curricula for the school, including the Change Management Workshops and several project management courses. Not to mention, she’s also served as a learning coach, facilitator, and instructor for government leadership programs and has developed the Define and Achieve Your Goals Process. Natalya earned her Master’s in Project Management and her Project Management Professional (PMP) Certification, making her a well-qualified and effective educator, project manager, coach, and consultant.
Alan is a retired combat veteran of the U.S. Air Force and Navy with over 30 years of experience in federal and commercial budgeting, auditing, programming, operations, supply chain management, and IT acquisitions. He holds an MBA from George Washington University and a Teaching Certification from Harvard’s Bok Center for Teaching and Learning. Throughout his career across federal, state, and local government agencies, Alan has worked for numerous departments, such as the Department of State and Defense, as well as the Office of the Mayor of D.C. Alan is also an accomplished consultant and business strategist, having aided in the development of organizational projects at Lockheed Martin and PwC, to name a few. His background and lengthy career make him an ideal instructor for those looking to learn more about finance, accounting, and project management.
As a skilled instructor and business leader, Derk Mattocks possesses the skills and career experience to bolster his credibility. He gained his B.S. in Organization Management from Nyack College and his Master’s in Leadership and Military Installation Management, as well as an MBA in Financial Management and Analysis from the University of Maryland. He is a licensed Certified Advanced Professional Business Coach and trained mediator, with the certification to facilitate the “Five Practices of Leadership” workshops. Derk has also served as a Senior Advisor and Instructor for the U.S. Army. Overall, he has the credentials to serve as an accomplished and well-versed instructor, often covering topics related to project management and marketing.
Melanie is a federal acquisition and contracting expert with over 30 years of professional experience in Washington, D.C., spanning both government and education sectors. She has served as the Vice President of Acquisition Policy at SAIC and as the Managing Editor of the Federal Contracts Report at Bloomberg BNA. She’s currently an instructor at Graduate School USA, often teaching classes related to the marketing realm. She’s a Certified Professional Contracts Manager (CPCM) and a Fellow of the National Contract Management Association, positioning her as a person with incredible leadership skills and knowledge of her field. She earned her MBA from Georgetown University and is known as a clear, trusted instructor who consistently challenges students to take their skills to the next level.