AI Workflow: Business Priorities and Data Ingestion

via Coursera

Overview

Embark on a transformative journey with the "AI Workflow: Business Priorities and Data Ingestion" course, marking the beginning of a comprehensive six-part specialization offered on Coursera. This foundational course sets the stage for a structured exploration into the realms of Artificial Intelligence in business, specifically designed for practicing data scientists possessing a sturdy grounding in probability, statistics, linear algebra, and Python programming for data science and machine learning.

Presented by IBM, this course serves as your gateway to mastering AI enterprise workflow through an immersive learning experience that centers around a hypothetical streaming media company. Dive into the world of design thinking with IBM's framework built for orchestrating large-scale AI projects and sharpen your scientific thinking abilities—key traits that distinguish seasoned data scientists.

By constructing a data ingestion pipeline using Python and Jupyter notebooks, you will gain hands-on experience from the outset, paving the way for advanced exploration in subsequent courses. Key outcomes of this course include understanding the advantages of a structured data science process, mapping design thinking stages to the AI workflow, prioritizing business opportunities effectively, discerning the intersection of data science and data engineering within the AI workflow, and appreciating the role of testing in data ingestion.

This course is tailored for data science practitioners with experience in building machine learning models, aiming to expand their expertise in deploying AI solutions within large enterprises. Please note, this course presupposes a solid understanding of linear algebra, probability theory, statistics, machine learning principles, Python and related data science tools (NumPy, Pandas, matplotlib, scikit-learn), along with some familiarity with IBM Watson Studio and the design thinking process.

Enroll in this course today to take the first step towards specialized mastery in deploying AI enterprise solutions. Categories include Artificial Intelligence, Design Thinking, Business Intelligence, Linear Algebra, and Jupyter Notebooks, offering a rich canvas for broadening your data science capabilities.