Description
Course on Use IBM Watson APIs to Get Structured Data from Unstructured Text and Voice
Mode: Online and in-person
Duration in days: 1
Target Audience:
The course is primarily designed for data scientists, but this course would also be relevant to other enterprise roles that would like to utilize the powerful APIs of Watson Speech to Text and Watson Discovery to extract structured information from unstructured data.
Desired Prerequisites:
Before taking this course, you should have:
- Basic Linux knowledge
- Basic IBM Cloud Pak for data experience
- Basic knowledge of data manipulation
- Intermediate Python experience
- Working knowledge of Jupyter Notebook
- Basic knowledge of data science methods
- Basic knowledge of data visualization methods
Course Agenda
- Course Introduction
- Module 1. Speech to Text
- Exercise 1. Convert audio recordings to text – Minimize Word Error Rate
- Module 2. Text to Sentiment
- Exercise 2. Extract sentiment and keywords from text
- Module 3. Hidden Insights
- Exercise 3. Examine Discovery results to inform business decisions
Instructors specialized in IBM, Red Hat, SUSE and Canonical
At SIXE, the quality of our training is reflected in the experience and knowledge of our instructors. Each IBM course is taught by highly qualified and certified professionals. Among our instructors, we have IBM Champions with years of industry experience and a deep understanding of IBM technologies and solutions. Our instructors not only possess advanced theoretical knowledge but also significant practical experience of more than 15 years in the development and implementation of solutions in real enterprise environments.
Our experts are committed to educational excellence and offer personalized training to address the specific challenges faced by participants. Each session is enriched with practical case studies and real-life examples, ensuring that the knowledge acquired is directly applicable in the workplace.