Quantum computing is no longer theoretical—and while its full impact is still unfolding, business leaders need to understand what’s coming and why it matters.

MIT xPRO's Designing and Building AI Products and Services will broaden your knowledge of AI-based solutions and equip you to drive successful implementation of AI and ML technologies in your organization.

Explore state-of-the-art practices in systems engineering with this award-winning four-course online program from MIT

Enrollment extended! Save your seat before Monday, April 17th. Learn the history and implications of quantum computing vs. classical computation. Assess applications of quantum computing and get hands on experience by putting a simple quantum algorithm into practice using the IBM Q Experience. This is course 1 of 2 in the online program Quantum Computing Fundamentals.

Understand the computational tools used in engineering problem-solving. This is course 1 of 2 in the online program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI.

Demystify machine learning through computational engineering principles and applications in this two-course program from MIT.

Discover the business and technical implications of the new frontier in computing and how you can apply them to your organization with this two-course program from MIT.

MIT xPRO’s Professional Certificate in Technical Project Management prepares you with a thorough understanding of project management principles and practical techniques to become a leader in the project economy, Taught by MIT faculty who are pioneers in the field, the program is distinctive for its focus on technical projects, including both software and hardware projects. The program also covers a range of methodologies, including (but not limited to) agile project management.

The MIT xPRO Professional Certificate in Data Engineering is an immersive 6–month program that’s designed to provide job-ready, in-demand data engineering skills and a competitive edge in the marketplace. Participants will learn data engineering essentials, from building an effective data architecture and data warehouses to designing data models, streamlining data processing, automating data pipelines, data wrangling, and big data engineering.

Gain the skills to assess cyber risk, secure systems, and lead with confidence with this 8-week course from MIT xPRO and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

Discover how to align AI technologies with your business goals, infrastructure, and data strategy to create long-term ROI with this 9-week course from MIT xPRO and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

Unlock practical, cutting-edge generative AI skills to accelerate progress and propel your career with this 6-week course from MIT xPRO.

MIT xPRO's Professional Certificate in Advanced Analytics with AI, ML, and Data Science program is designed to meet the growing demand for data professionals who have the technical skills to transform data into insights that can facilitate decision-making. The program imparts a strong foundation in data science and analytics, giving you the skills you need to apply models, analyze data, communicate results, and ultimately help your organization identify optimal solutions to modern-day business challenges.

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MIT xPRO's Artificial Intelligence in Healthcare program is designed to equip you with the skills to broaden your understanding of the applications of AI-based technologies in healthcare.

Gain the knowledge and skills you need to determine when, where, and how to employ quantitative methods in systems engineering. This is course 4 of 4 in the professional certificate program Architecture and Systems Engineering: Models and Methods to Manage Complex Systems.

MIT xPRO's Robotics Essentials program provides you with the knowledge and resources to identify basic robotic subsystems, evaluate human-robot interactions, and analyze challenges to the implementation of robotic systems. This program is an ideal launchpad if you want to chart a path in full-stack robotics.

Explore the potential of quantum computing with regards to cybersecurity, chemistry, and optimization. Get a front-row seat to demonstrations and simulations of quantum algorithms with multiple real-world case studies. This is course 2 of 2 in the program Quantum Computing Fundamentals.

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Learn how the computational tools used in engineering problem-solving are put into practice. This is course 2 of 2 in the program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI.

Dive into this subset of machine learning and discover the foundations, techniques, architectures, applications, and benefits that deep learning can offer your organization in this 8-week online course.

Explore the practical realities of quantum computing, including its ability to help accelerate classical computers. Learners will take a deep dive into quantum noise both characterizing and benchmarking using the IBM Q Experience. This is course 1 of 2 in the online programQuantum Computing Realities.

Understand the true possibilities and advantages of quantum computing while getting hands-on experience in this two-course online program.

Explore the concepts of quantum error correction, the threshold for practical, fault-tolerant quantum computation, and models of quantum computation beyond quantum circuits and use the IBM Q Experience in an assessment exercise. This is course 2 of 2 in the online program Quantum Computing Realities.

Leve suas habilidades em análise de dados a um novo patamar estudando a teoria e a prática nos campos da ciência de dados, big data e aprendizagem de máquina.

Lleva tus habilidades de análisis de datos al siguiente nivel mientras aprendes la teoría y práctica del Data Science, Big Data y Machine Learning.

Adéntrate en este área de Machine Learning y descubre los fundamentos, técnicas, arquitecturas, aplicaciones y beneficios que el Deep Learning puede ofrecer a tu organización en este curso online de 8 semanas.

Explore a aprendizagem de máquina e os fundamentos, técnicas, arquiteturas, aplicações e benefícios da aprendizagem profunda neste curso on-line de 8 semanas.