AI Workflow: Business Priorities and Data Ingestion

International Business Machines Corporation, or IBM, is a renowned technology company based in the United States. As a leader in driving technological advancement, IBM offers opportunities for you to be part of a community that focuses on innovation and research. You will have access to a company that has been at the forefront of technological development for over a century, with a strong presence in cloud computing, artificial intelligence, and cybersecurity.

Specifically, IBM focuses on delivering enterprise solutions in areas like cloud computing, artificial intelligence, cybersecurity, and quantum computing. With 345 programs available, you can explore different aspects of technology and consulting services. For instance, IBM's AI platform Watson has revolutionized data analytics and machine learning, giving you a unique opportunity to learn from industry leaders.

As you join IBM, you will be part of a global network with a strong presence in the United States. You will have opportunities to engage with a company that holds thousands of patents and is committed to addressing global challenges through technology. With its headquarters in Armonk, New York, you will be close to a major hub for business and technology, offering a unique blend of academic and professional experiences.

This non-degree course is the first part of a six-course specialization in AI workflow. It's designed for practicing data scientists who want to deepen their skills in building and deploying AI in large enterprises. The course is taught in English, lasts several weeks, and helps you understand the AI enterprise workflow and design thinking.

The curriculum covers the basics of scientific thinking, design thinking, and data ingestion pipelines using Python and Jupyter notebooks. You'll learn about prioritizing business opportunities, data science and data engineering overlap, and the purpose of testing in data ingestion. You'll also explore the use case for sparse matrices as a target destination for data ingestion and the initial steps towards automation of data ingestion pipelines.

By completing this course, you can pursue careers such as Data Scientist, Data Engineer, AI Engineer, Business Analyst, or IT Consultant. You'll be able to work in industries like finance, healthcare, or technology, and potential employers may include companies like IBM or other leading AI firms.