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Rav Ahuja, Antonio Cangiano, Joseph Santarcangelo, Yi Leng Yao, Sacchit Chadha, Tanmay Bakshi, and Aije Egwaikhide
Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate...
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Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer. This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions. Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions. In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.
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What's inside

Three courses

Introduction to Artificial Intelligence (AI)

(0 hours)
In this course, you will learn the basics of Artificial Intelligence (AI), including its concepts, terms, and applications. You will explore use cases of AI, such as machine learning, deep learning, and neural networks. You will also learn about the ethical and societal implications of AI and get advice on starting a career in AI. Finally, you will demonstrate AI in action with a mini project.

Introduction to Computer Vision and Image Processing

(0 hours)
Computer Vision, one of the most exciting fields in Machine Learning and AI, has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. This beginner-friendly course will introduce you to computer vision and its various applications.

Building AI Applications with Watson APIs

(0 hours)
A learner will write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.

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