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Digital Badge Program Watson

A digital credential recognized and valued around the world.

2020 Top 20 Training Industry Company - IT Training

Basics of Intelligent Document Processing with IBM Watson Discovery - Code: W7L148G

Basics of Intelligent Document Processing with IBM Watson Discovery - Code: W7L148G

The successful badge earner can outline basic NLP tasks and language models, define rule-based models and machine learning models in NLP, and define information retrieval and information extraction. The earner can apply smart document understanding, modify display of query results, and show how to improve the accuracy of query results.

Course Objectives

Badge Criteria and Activities

Attendance and successful completion of W7L148G Basics of Intelligent Document Processing with IBM Watson Discovery instructor-led training course

Creating, Testing, and Deploying Machine Learning Models with IBM Watson Studio - Code: W7L149G

Creating, Testing, and Deploying Machine Learning Models with IBM Watson Studio - Code: W7L149G

The successful badge earner can use the tools and services from IBM Watson Studio to build, deploy, and test machine learning models. The earner can access the relevant data sets, build machine learning models by using various editors and graphical user interfaces, deploy the models, and test them for correct operation. The earner can also be able to share the assets with colleagues.

Course Objectives

Badge Criteria and Activities

Attendance and successful completion of W7L149G Creating, Testing, and Deploying Machine Learning Models with IBM Watson Studio instructor-led training course

Learn the Basics of Machine Learning with IBM Watson Studio - Code: W7L160G

Learn the Basics of Machine Learning with IBM Watson Studio - Code: W7L160G

The successful badge earner can distinguish between supervised and unsupervised machine learning, define deep learning and reinforcement learning, and demonstrate the basic functions of Watson Studio for machine learning. The earner can list the model development steps, develop a Random Forest model, and evaluate the results.

Course Objectives

Badge Criteria and Activities

Attendance and successful completion of W7L160G Learn the Basics of Machine Learning with IBM Watson Studio instructor-led training course

LearnQuest IBM Watson Explorer Analytical Components

LearnQuest IBM Watson Explorer Analytical Components

This badge holder has demonstrated understanding of the core features and functionality of Watson Explorer Analytical Components. Recipient is able to use the content analytics, annotator, and content mining functionality. This primary functionality is found in an Analytics collections crawling, parsing, indexing, annotating, and searching components.

Course Objectives

Badge Criteria and Activities

Badge earners have successfully achieved class objectives demonstrated by progress in lab exercises, attendance, participation in question & answer sessions, and/or assessments associated with:

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