Discover how machine learning and artificial intelligence can be deployed in the healthcare industry to overcome challenges and optimize processes.

Improving prediction is one of the key challenges the medical industry faces in advancing patient care. Enhancing diagnosis, individualizing treatments, and understanding disease progression are all matters of prediction, an area where machine learning (ML) and artificial intelligence (AI) excels.

Discover the impact AI innovations can have in medicine — on both traditional health care systems and decision-making approaches — with the Artificial Intelligence in Health Care online short course from the MIT Sloan School of Management and the MIT J-Clinic.

Through industry case studies, you’ll better understand AI’s applications and limitations, examine the challenges AI can help overcome, and explore how it’s already been successfully deployed in the sector.

You’ll gain insight and knowledge from MIT, an institution renowned for developing ML methods with applications in health care. Regina Barzilay, your Faculty Director, is also globally recognized for her work in AI and breast cancer detection.

Is this course for you?

Whether you work in business or medicine, this course will give you an understanding of the transformative role that artificial intelligence and machine learning can play in the healthcare industry. Healthcare professionals will benefit from an understanding of the types of problems that AI technology and techniques can help solve. This program covers key topics such as the basics of ML, neural networks, and deep learning. The knowledge gained throughout this course can be immediately and directly applied to roles within the healthcare sector.

Machine learning

ML is a field of artificial intelligence that uses algorithms to learn from and make predictions on data. This course will introduce you to machine learning algorithms and how they are used in the healthcare industry.

Neural networks

The MIT Sloan Artificial Intelligence in Health Care online course provides insights into the different types of neural networks and how they can be applied to health care data. Neural networks are a type of machine learning algorithm that is particularly well suited for tasks such as image recognition and classification.

Deep learning

Additionally, the AI in health care course will cover the basics of deep learning. Deep learning is the process of using artificial neural networks with many layers to learn complex patterns in data. It is a subfield of machine learning that is concerned with algorithms that learn from data that is unstructured or unlabelled. This course will introduce you to deep learning methods and how they are used in the healthcare industry.

Computer science professionals

The course is taught by computer science experts from MIT and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). CSAIL is one of the world’s leading centers for artificial intelligence research. The faculty members teaching this course are at the forefront of their field and are developing cutting-edge technology that is being used in multiple industries today.

Harness the power of neuroplasticity to positively impact your personal and organizational performance.

In today’s rapidly evolving business climate, it’s imperative that leaders are able to navigate environmental uncertainty with resilience and agility.

Drawing on key scientific principles, the Neuroscience for Business online short course from the MIT Sloan School of Management will help you understand how changing your thinking and behaviors can improve your performance in both personal and professional contexts. The program takes an action-based approach to leadership, equipping participants with the tools to help analyze thought patterns and rewire habits to become more effective problem-solvers.

Over the course of six weeks, you'll explore neuroscience principles like neuroplasticity to rewire your brain and your organization to become more effective, agile, and resilient in your role.

Is this course for you?

The design of this neuro leadership-focused online course is suited to current executives, managers, and leaders looking to improve their professional and organizational capabilities. Additionally, anyone looking to move into a leadership role will be able to develop key skills for growth. Those interested in applying neuroscience in areas such as coaching, management training, and leadership development will also benefit from this course. This applies to consultants, executive coaches, and learning and development professionals who want to enhance employee engagement and workplace culture.

Learn how to critically assess the viability of any cryptocurrency project with an online short course from MIT Media Lab.

Over the past few years, the highest performing asset class was not stocks, bonds, or even real estate, it was Bitcoin. Cryptocurrencies such as Bitcoin, Ethereum, and the MIT-developed Vault have emerged as a new asset class that has seen momentous returns. To navigate volatility, it’s necessary to demystify the real-world capabilities of cryptocurrency and its economic implications.

Enhance your knowledge of cryptocurrency, its limitations, capabilities, and the way it functions within the economic environment in the Cryptocurrency online short course from the MIT Media Lab. Taking a comprehensive approach, you’ll explore cryptocurrencies in comparison with traditional finance, and gain insight into how start-ups, financial institutions, big tech, and central banks are adapting to its emergence.

The MIT Media Lab Cryptocurrency course will give you the ability to think critically about any cryptocurrency project and assess its viability. Using real-world examples, the course covers major topics related to cryptocurrencies, including their history, design, and economic properties. You’ll learn about cryptographic building blocks (e.g., hash functions and digital signatures) that are critical to understanding cryptocurrency security. The course also covers decentralized applications and Initial Coin Offerings (ICOs), which are often built on top of cryptocurrency platforms.

Guided by MIT Media Lab’s Digital Currency Initiative — as well as crypto industry experts, economists, financial regulators, and internet entrepreneurs — you’ll gain the skills to critically and holistically assess the viability of crypto projects, and understand the opportunities and challenges associated with the evolution of digital money. In six weeks, you’ll gain insight into blockchain technology, smart contracts, decentralized applications (DApps), and the broader environment in which cryptocurrencies exist. At the end of the course, you’ll be equipped with the critical reasoning skills to analyze the viability of any smart crypto project.

Is this course for you?

This course is designed for anyone seeking practical knowledge of the latest cryptocurrency developments and the skills to assess the viability of crypto projects, and is especially applicable to executives exploring new organizational needs. The program is relevant to both financial services and IT professionals aiming to gain an edge within their sector by understanding how crypto is actually being applied. Professionals and entrepreneurs from wide-ranging industries, who are seeking future growth or new opportunities, will also benefit from a comprehensive understanding of cryptocurrency and the environment in which it operates.

During this course, you'll be provided with the information, knowledge, and frameworks to deepen your understanding of cryptocurrencies from a business perspective. You’ll also explore blockchain technology, how cryptocurrencies operate, and what value they offer in organizational contexts.

You'll not be given cryptocurrency trading or investment advice, or investment or financial advice of any nature.

Explore blockchain technology

This Cryptocurrency course from MIT Media Lab provides an understanding of how Bitcoin and other digital assets are created, transferred, and stored, and unpacks the underlying blockchain technology. Further exploration includes examining trends in cryptocurrency and learning about the evolving regulatory landscape. Finally, you’ll consider future applications of cryptocurrency and blockchain technology in business.

What is bitcoin and cryptocurrency trading?

Bitcoin is a cryptocurrency. Crypto trading is the act of speculating on cryptocurrency price movements. Cryptocurrency traders buy and sell digital currencies in an attempt to profit from price fluctuations in the market.

So how does cryptocurrency work? Cryptocurrencies are decentralized, meaning they are not subject to government or financial institution control. Cryptocurrencies are created through a process called mining, which involves verifying and adding transaction data to a public ledger. Miners are rewarded with cryptocurrency for their efforts.

The value of cryptocurrency in an organizational context

Cryptocurrencies are being increasingly adopted by organizations as a means of payment, but they also offer other advantages such as transparency, immutability, and speed of transaction settlements. A comprehensive understanding of cryptocurrency is essential for anyone considering its use within their own organization.

By the end of this course, you’ll gain an understanding of the changing regulations surrounding cryptocurrency and the future applications of cryptocurrency and blockchain technology in business.

Gain the skills needed to strategically lead teams and reach company goals.

A traditional approach to leadership is no longer sufficient in a world that is changing at an exponential rate. Leadership in the 21st century requires continuous learning and adaptation to the evolving landscape, new technologies, and shifting customer preferences.

The Leadership in an Exponentially Changing World online program from the MIT Sloan School of Management provides new approaches for leading teams toward effectively reaching organizational goals by drawing on the 4-CAPS+ Leadership Framework, developed by Faculty Director Deborah Ancona and her colleagues at MIT. Over the course of six weeks, you’ll examine your leadership style and how to leverage others effectively — both inside and outside teams and organizations — to aid in successfully addressing and overcoming organizational challenges. At the end of this online program, you’ll leave with a digital certificate of completion from MIT Sloan and the executive leadership competencies to mobilize individuals toward change.

Is this course for you?

This MIT Sloan online course is designed for professionals looking to improve their leadership and management capabilities while discovering their personal leadership styles. Business leaders will expand and refine their current leadership knowledge, helping them facilitate innovation and adaptation and drive high-performance teams. Mid-level and senior managers will get a chance to engage with other professionals and develop their ability to lead teams more effectively while meeting business objectives. Aspiring leaders will develop the confidence to demonstrate that they have the skills to lead.

Inform your user experience design with cutting-edge HCI concepts.

Human-Computer Interaction (HCI) has evolved extensively over time. Along with advancements in technology, HCI has the potential to transform our experience with machines by creating simpler, more powerful, and intuitive digital experiences.

The Human-Computer Interaction for User Experience Design online short course from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) helps you reflect on the current state of the user and computer interaction. Eight experts from MIT CSAIL have dedicated their research efforts to explore the ways in which HCI can be enhanced, and they’re opening that research up to you through this online course so you can apply it for improved user experience (UX) and user interface (UI) design.

Guided by their industry insight, you’ll have the opportunity to imagine the future of HCI by reflecting on non-traditional interaction, speech recognition, and rapid prototyping, among others. Over the course of six weeks online, you’ll examine real-world applications of technology aimed at bettering UX and UI design, as you take your understanding beyond interface by integrating future-focused HCI into your work.

Is this course for you?

This program is designed to equip those who are interested in understanding the latest HCI research as part of their professional education or are looking to explore a new career in human-computer interaction. Industry UX designers also stand to benefit by exploring HCI thinking and real-world applications, empowering them to conceptualize better interface designs.

Build a business roadmap for successful tech integration.

The modern world is host to an enormous web of devices interconnected through sensors and networks — known as the Internet of Things (IoT). While the IoT has already made its presence felt in the home through smart appliances, it represents a rich opportunity for business.

The Internet of Things: Business Implications and Opportunities online short course from the MIT Sloan School of Management steps beyond the bounds of technical jargon to help you learn about the potential benefits and impact of IoT adoption on an organizational level. Through case studies, interactive media, and peer-to-peer learning, you’ll develop an understanding of the technologies and conditions necessary for the successful integration of IoT in a business context. Ultimately, you'll gain the skills and knowledge to create a practical roadmap for the real-world implementation of IoT and earn a digital certificate of completion from MIT Sloan.

Is this course for you?

This online program is ideal for managers and aspiring leaders looking to learn about the business opportunities that IoT can offer. Operations managers, entrepreneurs, and business analysts will benefit from understanding the impact and applications of IoT. Software engineers, data analysts, and IT engineers will learn to better communicate the benefits of IoT while gaining methods for effective implementation.

Identify opportunities for profitable investment in the commercial real estate sector.

Making informed investment decisions in commercial real estate hinges on understanding micro and macroeconomic theories and frameworks, and using practical financial analysis tools. The Commercial Real Estate Analysis and Investment online short course from the MIT School of Architecture and Planning (SA+P) draw on real-world examples of real estate investment and development projects, with a focus on unique tools, terms, and theories that have been pioneered and developed by the Faculty Director, David Geltner. On completion of this course, you’ll be armed with the skills needed for real estate valuation, investment analysis, and decision making, and you’ll earn an MIT SA+P certificate, validating your newfound real estate finance and development knowledge.

Is this course for you?

This online short course is geared toward finance, property investment, and real estate professionals who want to understand how to apply financial tools to analyze the commercial real estate market and make informed investment decisions. This program has a technical focus, and previous financial or real estate investment experience will significantly benefit you.

Explore the complex public regulatory processes that underpin and control private real estate development.

As the real estate industry becomes increasingly complex, both the public and private sectors require an in-depth understanding of the real estate development process. By developing a nuanced overview of public-private stakeholder interaction, professionals will be able to navigate the process more effectively and create value for all parties involved.

Gain insight into the real estate development process and explore the private-public stakeholder dynamic in the Real Estate Development: Planning and Process online short course from the MIT School of Architecture and Planning (MIT SA+P). Through the use of real-world case studies, you’ll delve into the complexities of city planning and the urban development process and explore how various stakeholders interact, compete, and negotiate.

Over six weeks, you’ll also learn how innovative public-private partnerships can create new and diverse opportunities in real estate development and assist in the transformation of cities. Guided by Professor Kairos Shen’s extensive professional and academic experience, you’ll gain the knowledge and skills to approach the public sector, and apply the concepts learned to your local context.

Is this course for you?

This course is designed for professionals within the public and private real estate sectors. Public sector stakeholders will develop the insight to reform and innovate within the standard zoning regimen. Private real estate developers will gain the knowledge and confidence to approach regulators with transformative ideas and proposals that benefit local communities. Investment professionals who understand the need for public-private partnerships within the real estate will benefit from an understanding of how this relationship could affect predictions and developments within the industry.

Gain the analytical tools to utilize data for informed decision-making in real estate.

Thanks to machine learning and data analytics, real estate professionals and investors are now able to make more accurate property assessments than ever before. This Data Science in Real Estate online short course from the MIT School of Architecture and Planning (MIT SA+P) focuses on growing your data science skills within the context of the built environment. During the program, esteemed MIT faculty and industry experts will teach you how to harness statistical techniques to reveal key insights into the factors that impact property investment and development opportunities.

Over the course of six weeks, you’ll learn how to evaluate and tidy data, expand data sets, and generate a selection of models that can be used to explain industry trends and forecast real estate values.

Is this course for you?

This MIT SA+P program provides participants with the data science skills to support decision-making and grow a successful property portfolio. Those with experience in data analytics will benefit by learning to apply their skills to the real estate market, while real estate professionals and independent investors can increase their competitive edge by building data skills to improve analysis and valuation, helping them to make better decisions.

While there are no formal prerequisites for this course, it’s highly recommended that you have a basic understanding of programming, in particular using R. You should be familiar with different data types and basic data structures, including objects, functions, vectors, matrices, data frames, and factors; and have used them practically in the past. If you don’t yet have an understanding of these concepts, you can explore the bridging resources made available in the course brochure.

Redefine the potential of your unused data through unsupervised machine learning techniques.

Training artificial intelligence (AI) models has traditionally required large sets of annotated data. As a result, small, uncurated data — which carries untapped value — is often left untouched. By leveraging cutting-edge developments in machine learning (ML), you can unlock the latent potential of data from unused sources to create competitive opportunities for your business.

The Unsupervised Machine Learning: Unlocking the Potential of Data online short course from the MIT Sloan School of Management and the MIT Schwarzman College of Computing explores the technical and strategic considerations of unsupervised learning approaches. In just six weeks, you’ll study these approaches, their capabilities, use cases, limitations, and applications. You’ll learn to see the potential of your data — no matter its quantity or quality — and deploy AI solutions tailored to your unique data, problem, and business.

Is this course for you?

This program is designed to help business decision-makers leverage opportunities created by unsupervised ML. Understanding how to leverage uncurated data, managers and technology leads will be able to plan new data acquisition protocols. IT and tech professionals looking for up-to-date developments in unsupervised learning will benefit from this program material, as will data scientists and analysts looking to strengthen their knowledge of the application of computer vision technologies.

The ability to code is not a prerequisite for this program. However, this program contains complex concepts that require an existing understanding and above-average knowledge of machine learning.