{"id":37447,"date":"2026-09-17T23:07:53","date_gmt":"2026-09-17T20:07:53","guid":{"rendered":"https:\/\/esi.edu.sa\/?post_type=courses&p=37447"},"modified":"2026-09-17T23:07:53","modified_gmt":"2026-09-17T20:07:53","slug":"generative-ai-in-the-workplace","status":"publish","type":"courses","link":"https:\/\/esi.edu.sa\/en\/courses\/generative-ai-in-the-workplace\/","title":{"rendered":"Generative AI in the Workplace"},"content":{"rendered":"

Course Description<\/strong><\/p>\n

A practical program introducing generative AI concepts and their workplace applications, with emphasis on improving productivity and the quality of daily outputs. It covers effective prompting, use of AI tools for research, writing, analysis, and automation, while reinforcing the need for human review of generated results. The program also addresses privacy, bias, intellectual property, and common risks associated with AI use. It aims to help participants apply generative AI confidently, responsibly, and securely in professional environments.<\/p>\n

Course Objectives<\/strong><\/p>\n

Explain core concepts of generative AI and large language models.<\/p>\n

Identify suitable workplace use cases across business functions.<\/p>\n

Write effective prompts that produce accurate and usable outputs.<\/p>\n

Use AI for writing, summarization, analysis, and ideation.<\/p>\n

Design human-AI workflows for recurring knowledge tasks.<\/p>\n

Recognize risks related to privacy, hallucinations, bias, and IP.<\/p>\n

Apply responsible-use controls and human verification practices.<\/p>\n

Develop practical internal controls and use cases for safe and effective adoption of generative AI.<\/p>\n

Course Content<\/strong><\/p>\n

Introduction to generative AI<\/p>\n

How large language models work<\/p>\n

Business and administrative use cases<\/p>\n

Prompt engineering fundamentals<\/p>\n

Summarization, rewriting, and content creation<\/p>\n

AI-assisted data and information analysis<\/p>\n

Ideation and decision support<\/p>\n

Task and workflow automation<\/p>\n

Privacy and confidential information<\/p>\n

Output verification and hallucination reduction<\/p>\n

Bias, ethics, and intellectual property<\/p>\n

Building practical organizational use cases<\/p>\n

Target Audience<\/strong><\/p>\n

Employees, supervisors, managers, HR, marketing, customer service, project management, digital transformation teams, and other knowledge workers.<\/p>\n

Duration<\/strong><\/p>\n

3 training days<\/p>\n","protected":false},"author":1637,"featured_media":0,"template":"","course_category":[945],"class_list":["post-37447","courses","type-courses","status-publish","hentry","course_category-ai","infinite-scroll-item","no-featured-image-padding"],"acf":[],"_links":{"self":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses\/37447","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses"}],"about":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/types\/courses"}],"author":[{"embeddable":true,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/users\/1637"}],"version-history":[{"count":1,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses\/37447\/revisions"}],"predecessor-version":[{"id":37448,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses\/37447\/revisions\/37448"}],"wp:attachment":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/media?parent=37447"}],"wp:term":[{"taxonomy":"course_category","embeddable":true,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/course_category?post=37447"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}