Computer vision makes the AI/AR future possible: it’s how self-driving cars see the road, plumbers gauge piping pressure and firefighters may soon rescue civilians. A deep learning building block, computer vision is now AI’s most technologically advanced field, with applications in robotics, healthcare, education, electronics, retail, manufacturing, logistics, infrastructure, aviation, entertainment, gaming and finance. As companies further automate business practices and provide enhanced customer experiences, they will increasingly deploy computer vision as an AI and AR input.

The power to see the world as a dataset has made computer vision a $11.32 billion global market, and in this dynamic online course at MIT SA+P, the leader in the impact of technology on society, entrepreneurs and corporate innovators will develop the tools needed to translate the deep science and engineering of computer vision into business success. Using computer vision to power AI and AR applications does not require obscure technical knowledge; it requires a strategic framework to architect ongoing waves of automation. The computer vision disruption is already here, and this course is the fastest way for business leaders to gain the skills to exploit it for opportunities.

Is This Course Right for You?

This course is for entrepreneurs and corporate innovators eyeing market gaps and opportunities in the computer vision ecosystem and looking to stay ahead of the accelerating wave of computer vision disruption. In the course, learners will analyze the risks of AI-driven sector disruption and understand how successful deployments of computer vision can keep companies competitive. The course will appeal to busy executives who want to understand the technology-driven disruptive power of computer vision so as to strategize for the future. For software developers,computer scientists and engineers interested in bringing computer vision products to market, the course will provide insight into how startup founders and corporate innovators leverage the deep learning capabilities for business success.