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Explore the generative AI landscape and the future of productivity with this 6-week course from MIT xPRO.
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Generative AI represents a seismic shift in the way we approach creative tasks. A comprehensive understanding of these technologies enables organizations to leverage the power of the technology to increase productivity, improve customer service, enhance user experiences, develop content, create synthetic data, enable new discoveries, and so much more!
Become an essential part of your organization’s generative AI journey. Develop an essential understanding of generative AI’s key technologies and how they may be used in various applications.
Generative AI is creating cutting-edge solutions that will revolutionize industries and empower businesses to thrive in the digital age. This course will leverage industry case studies, hands-on work with generative AI tools, and the latest thinking from MIT to equip you with the knowledge and skills necessary to navigate the intricate world of generative AI.
Develop a comprehensive understanding of the fundamentals and distinctions of Generative AI and machine learning such as neural networks and the role of data.
Acquire the skills to analyze and utilize image generative models, including comprehending their key components, inputs, and outputs, and critically assess the significance of latent variables and noise in their operational effectiveness.
Evaluate the evolution, limitations, and future possibilities of Large Language Models (LLMs), tracing their developmental history, understanding current constraints, and exploring potential advancements and applications in various fields.
Understand Generative AI in coding, design, and chemistry, mastering algorithms for molecular property prediction and code generation, and comprehending the fundamental architectures for molecular design, code creation, and 3D structural design.
Explore the collaborative efforts and connection between Generative AI and humans, focusing on creative expression and human emotion.
Recognize the essentials of Pro-Human Generative AI to enhance human decision-making and societal interactions, focusing on addressing biases, best practices in health and societal applications, and aligning AI with developer and user goals through measurement, feedback-driven reinforcement learning, and deployment strategies.
Delta Electronics Professor of Electrical Engineering and Computer Science and Head of the AI+D faculty in the Electrical Engineering and Computer department, MIT
Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science; Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL); and Deputy Dean of Research for Schwarzman College of Computing, MIT
Assistant Professor, Electrical Engineering and Computer Science, MIT
Professor, Department of Electrical Engineering and Computer Science; Faculty Co-Lead, MIT Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic), MIT
Professor, Associate Director and COO of CSAIL, MIT
Professor Media Arts and Sciences, Media Lab; and Dean for Digital Learning, Open Learning, MIT
Adjunct Associate Professor of Media Arts and Sciences, MIT
Professor of Media Arts and Sciences, MIT
MathWorks Professor of Electrical Engineering and Computer Science Department Head, Electrical Engineering and Computer Science & Deputy Dean of Academics, Schwarzman College of Computing, MIT
Professor of Electrical Engineering and Computer Science at the Computer Science and Artificial Intelligence Laboratory at MIT
Bonnie and Marty (1964) Tenenbaum Career Development Assistant Professor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
Assistant Professor in Electrical Engineering and Computer Science, MIT
Associate Professor in MIT's Department of Electrical Engineering and Computer Science
Engineers working as Product Managers, Web Application Developers/Managers, Software Service (SaaS) professionals, UX/UI Designers, Solutions Architects
Technical professionals looking to understand the potential of generative AI in their careers in various fields
No prior background in analytics, computer science, coding, or machine learning is required.
We bring together an innovative pedagogy paired with world-class faculty.
Practice processes and methods through simulations, assessments, and tools including DALL-E, Midjourney, Leonardo, Runway, ChatGPT 4, Gemini, and Claude 3.5 Sonnet
Connect with an international community of professionals while working on projects based on real-world examples.
Access all of the content online and watch videos on the go.
Bring your new skills to your organization, through examples from technical work environments and ample prompts for reflection.
Earn a Professional Certificate and 3 Continuing Education Units (CEUs) from MIT.
Gain insights from twelve esteemed MIT faculty and instructors from MIT's Computer Science and Artificial Intelligence Lab (CSAIL).
Many companies offer professional development benefits to their employees but sometimes starting the conversation is the hardest part of the process.
Use these talking points, stats, and an email template to advocate for your professional development through MIT xPRO's Driving Innovation with Generative AI online professional certificate course.
Technology is accelerating at an unprecedented pace causing disruption across all levels of business. Tomorrow’s leaders must demonstrate technical expertise as well as leadership acumen in order to maintain a technical edge over the competition while driving innovation in an ever-changing environment.
MIT uniquely understands this challenge and how to solve it with decades of experience developing technical professionals. MIT xPRO’s online learning programs leverage vetted content from world-renowned experts to make learning accessible anytime, anywhere. Designed using cutting-edge research in the neuroscience of learning, MIT xPRO programs are application focused, helping professionals build their skills on the job.
Embrace change. Enhance your skill set. Keep learning. MIT xPRO is with you each step of the way.