Artificial Intelligence

Machine learning is emerging as today’s fastest-growing career as the role of automation and AI expands in every industry and function. Cornell’s Machine Learning certificate program equips you to implement machine learning algorithms using Python. You will use a combination of math and intuition to practice framing machine learning problems and construct a mental model to understand how data scientists approach these problems programmatically. Through investigation and implementation of k-Nearest Neighbors, naive Bayes, regression trees, and others, you’ll explore a variety of machine learning algorithms and practice selecting the best model, considering key principles of how to implement those models effectively. You’ll also gain the skills to work with advanced generative models, including transformers, to create and refine both text and image outputs. In addition, you’ll have an opportunity to implement algorithms on live data while practicing debugging and improving models through approaches such as ensemble methods and support vector machines. Finally, the coursework will explore the inner workings of neural networks and how to construct and adapt neural networks for various types of data. This program uses Python and the NumPy library for code exercises and projects. Projects will be completed using Jupyter Notebooks. Machine learning is complex. While you do not need to have machine learning experience in order to take the program, we strongly recommend having prior experience in math, including familiarity with Python, probability theory, statistics, multivariate calculus, and linear algebra. This certificate program includes two self-paced lessons covering the linear algebra computations used in the Machine Learning curriculum. You may refer to these lessons at any time before or during your Machine Learning program. Check your readiness with this free pretest now. The courses in this certificate program are required to be completed in the order that they appear.

Recent breakthroughs in generative AI are impacting every area of work and life. These technologies have the potential to automate tasks commonly associated with the highest levels of human intelligence. Organizations and individuals able to harness the potential of generative AI will gain a huge advantage, while those that don’t risk becoming obsolete. In this program, you will critically evaluate the most effective ways to adopt generative AI technologies. Throughout the courses, you will explore how advances in AI have enabled new, highly scalable, and low-cost ways of automating cognitive work. You’ll discover how to harness the potential of AI to radically increase individual productivity, transform organizational processes, and enable new business models. By the end of the program, you will be prepared to strategically leverage generative AI to transform yourself and your organization for this new digital era. This certificate includes two years of free access to Symposium! These events feature live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.

Artificial intelligence (AI) is transforming industries and reshaping the global economy, making it crucial for professionals to grasp its legal, ethical, and policy implications. This certificate program empowers you to integrate AI responsibly within your organization, addressing these challenges head on. You will start by understanding AI systems, exploring their benefits and drawbacks, and tackling the legal and ethical issues they present. You’ll delve into AI’s impact on data privacy, bias, and accountability, while examining key U.S. and European regulatory perspectives. You'll also evaluate legal and intellectual property risks, develop strategies to mitigate your organization's legal and ethical risks, and promote effective and inclusive AI practices. The program further explores global AI dynamics, balancing innovation with compliance across international governance frameworks. You will gain practical tools for AI implementation, including change management, governance structures, and organizational alignment, along with advanced scenario planning for long-term strategic success. By the end, you’ll be equipped to deploy AI ethically, mitigate risks, and lead your organization through emerging AI challenges. For the best experience in this program, it is recommended to take these courses in the order that they appear. This program includes two years of free access to the AI Symposium! These highly interactive virtual events span multiple days and explore today’s most pressing topics. Symposium offers exclusive opportunities to engage in real-time discussions with your eCornell community, applying insights from your courses to real-world scenarios. Through reflections and small-group discussions, you will deepen your learning, broaden your perspective, and expand your professional network. Symposium events are held throughout the year, providing ongoing opportunities to stay engaged, gain fresh perspectives, and strengthen your skills. Once enrolled, you will receive access to the Symposium networking site along with details about upcoming sessions. You can participate in as many as you’d like to make the most of your experience, though attendance is not required to complete your program.

As digital transformation reshapes every industry and function, marketers everywhere are racing to implement performance-driven marketing strategies that leverage today’s most powerful digital technologies. Artificial intelligence is expected to have up to a $2.6 trillion business impact in sales and marketing alone. Will traditional, tried-and-true marketing methods be folded into this new era of performance marketing and AI, or will they become a thing of the past? Is your organization keeping up with the latest and greatest technology? Are you missing any potential areas for improvement? In this certificate program, you will discover practical, innovative ways to apply machine learning and AI to the marketing function in order to enhance the customer journey, achieve data-driven decision making, and ultimately impact the success of your marketing initiatives. You will start by assessing your organization’s current marketing activities and create a plan to optimize them using the key concepts from AI and digital marketing to formulate a digital strategy. You will then be guided in creating your own digital marketing plans for both paid and owned media. In the final course, you’ll have the opportunity to create a performance marketing plan and identify ways to supercharge it using artificial intelligence and machine learning. Upon completing the program, you will have developed the skills and frameworks needed to gain an edge in digital marketing with artificial intelligence tools and battle-tested strategies that can stand the test of time in this rapidly changing landscape. The courses in this certificate program are required to be completed in the order that they appear. This course includes two years of free access to both the Marketing Symposium and the AI Symposium! Symposium features various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics with your peers. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.

In this era of technological integration in business, engaging with advanced technologies can be a requirement for sustainable success. In particular, understanding the many dimensions of artificial intelligence (AI) gives organizations a strategic advantage that can lead to greater success. Through the AI Strategy certificate program, you will explore how AI will impact the future of organizations, industries, and society at large. You’ll begin with a foundational course that introduces AI as well as some of the origins, trends, applications, benefits, and risks associated with this technology. You will then investigate how to apply knowledge-based AI technologies to anything from standard tasks to systemic processes that are relevant across industries. You will also explore ways to apply machine learning through connectionist-based approaches and assess design strategies to implement AI systems across an organization. Finally, you’ll have the opportunity to examine the societal implications of AI in areas such as labor, privacy, ethics, morality, and regulation,exploring the development of strategies that preserve human dignity and agency while embracing the benefits of the technology. By the end of this program, you’ll have gained a broad understanding of AI and will be able to envision its implications on your organization for years to come. For the best experience in this program it is recommended to take these courses in the order that they appear. This certificate includes two years of free access to Symposium! These events feature live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.

AI is everywhere, and it’s revolutionizing the business world. You have the opportunity to be at the forefront of this change. What products should you build? What are the best AI applications for your business? How can you harness the power of AI ethically and responsibly? With the explosion of generative AI applications, organizations now have access to many different tools to build products and services driven by AI. From generative AI to language models and deep neural networks, this certificate program will give you all the tools you need to build AI-based solutions without any coding experience. Join us on a fun journey where you will explore engaging AI case studies from a variety of industries, including healthcare, media, and finance. As you discover the power of AI innovation in the real world, the courses provide a hands-on deep dive into prompt engineering and machine learning applications, as well as data handling, ethics, and compliance. You’ll have the opportunity to put AI into action by prototyping, developing, and fine-tuning models for your own AI-driven products, harnessing some of the most transformative technologies available today. A helpful ChatGPT-enabled co-pilot will be available 24/7 to assist you. By the end of the program, you’ll develop a strong foundation in traditional AI, neural networks, and generative AI, preparing you to capitalize on the new opportunities AI presents and lead in today’s rapidly evolving business landscape. No coding or technical experience is necessary to successfully complete the program; you will have copilots such as ChatGPT and other AI tools (including an AI-cloned professor!) to assist you with the coursework. The courses in this certificate program are required to be completed in the order that they appear. To be successful in these courses, you should have a basic knowledge of statistical concepts. This certificate includes two years of free access to Symposium! These events feature live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.

Rapid advances in AI and digital technologies have presented business leaders with a once-in-a-generation opportunity to reinvent their strategies by rethinking processes, building new digital-first products, identifying new business models enabled by technology, and embracing a digital builder culture. At the same time, there are various risks and pitfalls, so leaders must take a strategic approach as they adopt and implement these technologies in order to keep their competitive advantage and thrive in the marketplace. In this certificate program, you will discover how to harness rapid advances in AI and digital technology to innovate and enhance your business. You will consider common pitfalls and examine strategies to reduce risk. To build on these skills, you will assess business model innovation opportunities to better support your teams as you create a thoughtful innovation culture for your organization. Finally, you will explore best practices to help you build a data-driven approach for your business, reporting on the key metrics that will help your teams communicate with stakeholders and evaluating the impact of new policies and initiatives. By the end of this program, you will have developed the necessary AI and digital literacy and strategic foundations to help your business thrive. This certificate includes two years of free access to Symposium! These events feature live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.

Generative AI is transforming the hospitality industry by greatly enhancing efficiency, streamlining operations, and guiding better decision making. The business of hospitality is increasingly data rich, but the data comes from a variety of sources which need to be collected, assessed, and acted upon on a frequent basis. Data sources include archival data on third-party platforms and transactional systems which are often behind user logins, in-house data collections systems, human resource software, and key online platforms such as Google and Tripadvisor. Now, hospitality providers can access, compare, and analyze this data through the use of predictive and generative AI — without extensive data analysis training. Throughout this program, you will use machine learning methods and generative AI to build predictive models, analyze data, evaluate forecast data, and assess and categorize customer reviews as you work through common hospitality scenarios. These skills can be immediately applicable to your organization’s marketing, training, pricing, forecasting, user-generated content management, communications, and guest experience enhancement efforts. You will also have the opportunity to use several AI tools to help automate operational activities, including data collection, transfer and analysis, and internal and external communications, freeing up employees to perform value-add activities and focus on the customer experience. By the end of the program, you will be able to strategically implement AI solutions to optimize operations, enhance guest satisfaction, and drive innovation within your hospitality organization. The courses in this certificate program are required to be completed in the order that they appear. Coursework will require access to Microsoft Excel, a free trial version of BigML, and free versions of ChatGPT, Zapier, and Botster. Additionally, for the course, Streamlining Hospitality Operations With Automation, access to a PC with Microsoft Excel and Microsoft Power Automate is highly encouraged to maximize the learning experience, though it is not required. Microsoft Power Automate is not available for Mac users. This program includes two years of free access to both the Hospitality Symposium and the AI Symposium! These events feature live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.

With the rise and acceleration of AI, machine learning (ML) has become an increasingly critical tool for the development of computer systems with the ability to learn and discover patterns in data. Gaining a foundation in the concepts and practices of ML can set you up to understand new advancements and grow your career in this field. In this certificate program, you will gain the skills that will enable you to build ML solutions in real-world conditions through an ethical and inclusive lens. You will discover the machine learning lifecycle, explore common machine learning packages, and work with industry-relevant tools to analyze large data sets. By the end of the program, you will have hands-on practice and experience building machine learning workflows and optimizing ML models from scratch to solve problems or achieve goals. In order to be successful in this program, students must be familiar with the programming language Python. The courses in this certificate program are required to be completed in the order that they appear.

With the rapid expansion of artificial intelligence (AI) and generative AI applications across every aspect of work and life, demand for professionals with the skills to develop AI-based tools and solutions has exploded. In this certificate program, you will explore the components and technologies on which AI is built. Throughout the courses, you will leverage practical tools and projects to gain technical skills in key areas such as machine learning and natural language processing, as well as establish strategies for the business implications of AI in today’s marketplace and the future of work. You’ll have the opportunity to gain hands-on experience with prompt engineering using state-of-the-art generative AI models and establish a foundation in the ethical and legal implications of AI for products and work you create. Using real-world datasets, you will apply supervised learning to solve data science questions, improve machine learning models, and create neural networks for specific business cases. Finally, you will choose your own exploration of AI-driven practices with elective courses to take a deep dive into natural language processing or digital transformation. By the end of the program, you will have achieved broad expertise in AI and generative AI application development, giving you the tools needed to lead in today’s age of AI. This program also uses Python and the NumPy library for code exercises and projects. To be successful in this program, students should have a working knowledge of Python programming, and college-level knowledge of calculus, linear algebra, and statistics. If you do not have this experience, start with the Data Science Essentials or Python Programming certificate program. The courses in this certificate program are required to be completed in the order that they appear. This program includes a year of free access to Symposium! These events feature several days of live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore the marketing industry’s most pressing topics. Symposium events are held several times throughout the year. Once enrolled in your program, you will receive information about upcoming events. Throughout the year, you may participate in as many sessions as you wish. Attending Symposium sessions is not required to successfully complete the certificate program.

There’s an abundance of textual information in the world, and more is being created each day. Working with this vast amount of text is a significant challenge for humans, as it would be impossible for individuals to read millions of web search queries, product descriptions, emails, and articles. The answer is natural language processing (NLP). NLP solutions continue to expand, with more and more applications in machine learning and beyond being discovered every day. Organizations employ NLP for textual analysis and classification as well as more advanced tasks such as writing, coding, and reasoning. In this certificate program, you’ll cover the fundamentals of NLP, including how to teach a computer where a word starts and ends, as well as more advanced skills like how to program a computer to determine what sentences mean. Throughout the courses, you’ll have the opportunity to implement numerous string and text processing techniques, work with machine learning algorithms to determine how similar documents are to one another, and train machine learning models to optimize the extraction of meaningful data from documents. While gaining valuable practice with Python functions and expressions, you will also master the ability to process text using NLP-specific packages, including Natural Language Tool Kit (NLTK), Gensim, spaCy, regex, and SentenceTransformers, that can be used to extend Python’s power. By the end of the program, you will have the theoretical basis and technical expertise to apply NLP in the workplace, to your innovations, and beyond. In order to be successful in this program, students should have a working knowledge of Python programming as well as college-level knowledge of linear algebra and statistics. The courses in this certificate program are required to be completed in the order that they appear.

Sifting through the wealth of unstructured data in today's world might feel like an impossible task. With a torrent of business reports, product descriptions, and countless other text-based data produced daily, humans alone can't hope to effectively analyze it all. That's where the power of AI and specifically natural language processing (NLP) comes in. NLP is a rapidly evolving field, with new applications constantly being unearthed. It's widely used in the world of finance for extracting meaningful insights from massive text datasets and aiding in activities like risk evaluation, portfolio construction, and competitive analysis. In this certificate program, you'll gain a comprehensive understanding of NLP algorithms that can decipher and categorize vast amounts of text-based data. You'll begin with the basics, determining how to prepare and refine data for your very own NLP projects. The initial focus will be on the Latent Dirichlet Allocation (LDA) algorithm, a powerful tool for topic modeling in business scenarios. As you progress, the courses will delve deeper into the intricacies of text pre-processing techniques such as stopwords, tokenization, and stemming/lemmatization. You'll gain hands-on experience fine-tuning LDA topic models to align with industry classification standards and further explore the Doc2Vec algorithm as an alternative approach to topic modeling. Through a variety of practical assignments and activities, you'll strengthen your skill set in data manipulation, algorithm training, and model performance evaluation. You'll also have the chance to build investment portfolios based on the alignment of companies by business activity. In addition to mastering these vital NLP tools, you'll discover how they can be utilized to draw meaningful industry-based insights from enormous amounts of unstructured data. By the end of the program, you'll be well equipped to leverage NLP for making informed, data-driven decisions in the ever-evolving financial markets. In order to be successful in this program, students would benefit from a having sufficient English-language fluency, as some aspects of the data cleaning have relations to English. It is also useful to have a working knowledge of Python programming, but not a requirement as the coding is provided throughout the course with detailed instructions on how to use it. The courses in this certificate program are required to be completed in the order that they appear.

In today's AI-driven landscape, processing and analyzing textual data is increasingly critical for understanding customer sentiment, market trends, and other key business insights. Natural language processing (NLP) techniques have become essential tools for transforming raw text into meaningful data that underpins many of today’s AI applications. This certificate program is designed to equip you with foundational skills in NLP, with a focus on text preprocessing, summarization, visualization, and sentiment analysis. In the first course, you will clean and manipulate text data using regular expressions, preprocess complex textual information, and address common challenges in messy datasets. You will also have the opportunity to explore advanced text preprocessing techniques such as stemming and tokenization, which are essential for preparing text for further analysis. In the second course, you will develop the ability to summarize and visualize text distributions across documents, leveraging tools like word clouds and document-term matrices to uncover patterns and trends. Finally, the third course introduces you to sentiment analysis, where you will quantify and interpret emotions in text and compare sentiment across documents and over time. By the end of this program, you will have the practical knowledge needed to preprocess and analyze textual data, giving you a valuable edge in data science, AI engineering, or any field that requires a deep understanding of textual information. To succeed in this program, you should have a foundation in R programming. If you do not have this experience, start with the Data Science Essentials certificate program. The courses in this certificate program are required to be completed in the order that they appear.

In today's rapidly evolving digital landscape, large language models (LLMs) are revolutionizing the way we work, write, research, and make decisions. While AI breakthroughs capture headlines, the true potential lies in effectively applying these powerful tools. This certificate program is tailored for professionals eager to harness LLM technologies and implement them immediately. Throughout this hands-on program, you will acquire practical skills to evaluate, prompt, fine-tune, and deploy LLMs to address real-world challenges. You'll delve into major platforms and tools, including the Hugging Face API, and discover how to select the right model for your needs. Techniques such as preference learning and tokenization strategy will be explored to shape model behavior, alongside foundational concepts like probabilities and attention mechanisms. Guided by Cornell Professor David Mimno, a leading expert in computational text analysis, this program demystifies LLMs and equips you to integrate them confidently into your workflows. Whether you're in business, education, policy, or research, this program is your roadmap to making AI work for you, starting now. You will be most successful in this program if you have had some exposure to natural language processing or machine learning. You should also be comfortable with Python programming and basic statistics. The courses in this certificate program are required to be completed in the order that they appear.

From data to decision, R is quickly becoming one of the most popular and effective programming languages of data science. In this program, you’ll apply data science tools to the collection of data and the translation of data into information, constructing models that can be used to address the questions that you're investigating. You’ll have the opportunity to apply data analytics as a four-part process: gathering data, looking for patterns in that data, finding insights in any patterns you discover, and using those insights to make decisions. This process does not make decisions for you, but it will help you to better understand the effects of the decisions you might make. Through an examination of real-world data sets and different modeling techniques, as well as an in-depth look at how the programming language R can be used to help you find patterns and derive insights, you will gain valuable experience working in each stage of the data analytics process, helping you and your organization to make better decisions – and gain a sound scientific understanding of why you're making the choices you're making. In order to be successful in this program, you will need to have experience in any programming language, prerequisite knowledge in basic probability and statistics concepts, and college-level calculus. The courses in this certificate program are required to be completed in the order that they appear.

As data in healthcare grows more complex, AI is increasingly being used to enhance diagnoses, treatment, patient engagement, and administrative tasks. Brought to you by expert faculty from Weill Cornell Medicine, this certificate program focuses on the transformative power of data science and artificial intelligence in the healthcare space. You will begin by developing a foundation in machine learning techniques, emphasizing data preparation and predictive analytics to improve patient care. You will build on this by focusing on efficient data management, exploring relational databases, and honing skills in data querying for insightful healthcare decisions. You will then be introduced to natural language processing (NLP), exploring methods to extract insights from medical texts as well as ways to apply conscientious practices in data handling. Finally, you will examine the human factors influencing AI design and implementation, advocating for user-centered solutions that adhere to ethical principles. Throughout the courses, you will have the opportunity to apply these teachings in hands-on exercises as you gain practice addressing real-world healthcare problems. Together, these courses will equip you with the skills to leverage technology for improved healthcare outcomes, ensuring data integrity, patient privacy, and the creation of equitable AI-driven solutions. You must have intermediate proficiency in Python programming and machine learning to be successful in this certificate program. The courses in this certificate program are required to be completed in the order that they appear.

As AI technologies rapidly transform the cybersecurity landscape, organizations face unprecedented challenges in protecting their digital assets while leveraging AI's potential for enhanced defense capabilities. This critical intersection of AI and cybersecurity demands new approaches to strategic risk management. Throughout this certificate program, you will explore the transformative impact of AI on both cybersecurity and cybercrime, developing crucial skills to navigate this rapidly evolving landscape. Beginning with a foundational examination of AI's risks, rewards, and responsibilities, you’ll evaluate its implications for both individuals and organizations. The program covers specific AI applications and challenges through the lens of governance and policy, including an in-depth analysis of deepfake technology's benefits and dangers related to ransomware and cyber extortion. Through practical case studies and expert insights, you will examine AI in the cybersecurity landscape and consider the responsibilities that come with its usage. You'll conclude by exploring AI's current and future impact on critical infrastructure and national security, including emerging threats and defensive capabilities. This forward-looking approach ensures you're prepared to adapt to AI’s complexities, anticipate future challenges, and contribute to the development of effective security practices and policies in your organization. No prior experience with AI or technical expertise is required to be successful in this program. By participating in the program, you’ll gain two years of access to Symposium! These dynamic, highly interactive virtual Zoom sessions are designed to foster collaboration and networking with fellow professionals. Led by expert facilitators and occasionally featuring special guests, each multi-day event dives into the most pressing topics in AI. You can participate in as many sessions as you like throughout the year. While attendance is encouraged, it's not required. To get the most out of your experience, it is recommended that you begin Cybersecurity and AI Strategy with the first course in the series, AI Risk and Opportunity.

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