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AI for HR

Program detail

Program summary

Suitable for

Trainer

Syllabus

Class review

Program summary

AI for HR – Banking is a half-day training program designed to introduce HR teams in the banking industry to the practical use of Artificial Intelligence in daily HR operations. This program focuses on helping participants understand the fundamentals of AI, its business impact, and how AI tools such as Gemini and Google Workspace can support HR productivity, efficiency, and decision-making.

Through a balanced learning approach combining theory, live demonstration, and hands-on practice, participants will explore how AI can be applied across key HR functions, including recruitment, onboarding, performance management, payroll, and employee relations. The program introduces practical use cases such as CV screening, candidate evaluation, onboarding checklist creation, performance feedback generation, salary letter drafting, payslip template development, and HR letter automation.

Participants will also learn basic prompt engineering techniques to improve the quality of AI-generated outputs and gain hands-on experience in creating, refining, and applying prompts using Gemini. The session is designed to be practical and beginner-friendly, enabling HR professionals to immediately understand how AI can be integrated into existing HR workflows while considering relevance, efficiency, and compliance needs in a banking context.

By the end of the program, participants are expected to gain hands-on experience using Gemini for multiple HR functions, receive AI tool recommendations for each HR area, and develop ready-to-use templates that can support day-to-day HR activities. The training will also help participants identify quick wins and prepare an implementation checklist to support the next steps of AI adoption within the HR team.

In-house

Technology

https://res.cloudinary.com/https-www-pasartrainer-com/image/upload/v1780908265/prod/program/r9lurkj0xloqdml8dhyc.jpg

AI for HR

Rp 1.000.000

Level

Basic

Delivery method

Offline

Duration training

4 hours x 1 day