Online Natural Language Generation (NLG) Training in US

In this instructor-led, live training in US, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies relevant to public sector workflows and governance will be examined, and the concepts will be applied to hands-on lab projects for generating content tailored for government.

By the end of this training, participants will be able to:

• Utilize NLG to automatically generate content for various industries, including journalism, real estate, weather reporting, and sports, with a focus on applications for government.
• Select and organize source content, plan sentences, and prepare a system for the automatic generation of original content that aligns with public sector needs.
• Understand the NLG pipeline and apply the appropriate techniques at each stage to ensure compliance with governmental standards.
• Comprehend the architecture of a Natural Language Generation (NLG) system designed for government use.
• Implement the most suitable algorithms and models for analysis and ordering, ensuring they meet the requirements of public sector workflows.
• Pull data from publicly available data sources as well as curated databases to use as material for generated text that supports government operations.
• Replace manual and laborious writing processes with computer-generated, automated content creation that enhances efficiency and accountability in government tasks.