25 November 2019 | Written by: Ray Lopez
Categorized: Badging & Certification
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There are many courses available for aspiring data scientists. But there are few offerings available for practicing data scientists to advance their skills. In order for AI projects to be successful a data scientist needs to engage in every step of the Enterprise AI Workflow.
The Enterprise AI Workflow is defined as the entire process of development, testing, training, deployment, and maintenance of machine learning models in large enterprises. Understanding this workflow is critical for many reasons, including the fact that it explicitly links data science with business goals and activities.
The Data and Artificial Intelligence Education and Certification team at IBM has launched the IBM Enterprise AI Workflow certification program, aimed at helping companies and data scientists learn the best practices associated with all stages of the AI Enterprise Workflow. The program consists of a 60 question certification test proctored by Pearson VUE, and a 6 course (40 hours) specialization on Coursera to help prepare ML practitioners and data scientists for the test.
This professional certification is intended for practicing data scientists, and will provide you with valuable knowledge, skills, and best practices in the following areas:
- Business Priorities and Data Ingestion
- Data analysis and hypothesis testing
- Feature engineering and bias detection
- Machine learning, visual recognition and NLP
- Enterprise model deployment
- AI in production
Visit this link for more information: http://ibm.biz/ai-workflow-cert