Introduction to AI in HR Training

Empower your teams with expert-led on-site/in-house or virtual/online Introduction to AI in HR Training through nuancedu, a…

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Empower your teams with expert-led on-site/in-house or virtual/online Introduction to AI in HR Training through nuancedu, a premier Introduction to AI in HR training company for organizations globally. Our customized training program equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific training needs, this Introduction to AI in HR group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

Artificial Intelligence (AI) in Human Resources (HR) involves the use of advanced algorithms and machine learning to automate and enhance HR processes such as recruitment, employee engagement, performance management, and workforce planning. AI helps organizations streamline tasks, reduce bias, and make data-driven decisions, enabling them to automate repetitive functions like resume screening, personalize employee experiences, and gain predictive insights for better talent management. Introduction to AI in HR training course enables HR teams to streamline recruitment, enhance performance analysis, and improve employee management through automation and data-driven insights.

Introduction to AI in HR instructor-led training course provided by nuancedu can be customized to meet team requirements. The virtual/onsite Introduction to AI in HR training course led by expert trainers ensures that HR professionals gain practical knowledge and skills to effectively use AI technologies.

What Will You Learn?

Implement basic AI systems for HR functions like resume screening using text classification algorithms
Design a pre-interview shortlisting system leveraging machine learning models for efficient candidate selection
Define key concepts of machine learning and artificial intelligence, including their applications within the HR domain
Distinguish between different types of machine learning (supervised, unsupervised, reinforcement) and their suitability for HR tasks
Utilize the Orange data mining tool for tasks like building a salary prediction model or classifying candidate resumes based on extracted text features

Course Curriculum

Introduction to AI and Machine Learning
1.Overview of machine learning and AI Definition and key concepts History and evolution of AI and machine learning Differences between AI, machine learning, and deep learning 2.Application of AI to HR Recruitment and candidate screening Employee performance analysis Talent management and retention 3.AI-based HR companies and startups Leading AI-driven HR companies Innovative startups in AI for HR Case studies of AI implementations in HR 4.Types of machine learning Supervised learning Unsupervised learning Reinforcement learning 5.Machine learning methodology Data collection and preprocessing Model selection and training Model evaluation and validation Deployment and monitoring

Build Simple AI Systems for HR
1.Text classification Introduction to text classification Techniques and algorithms for text classification Implementing text classification for resume screening 2.Image recognition Basics of image recognition Common algorithms and techniques Applying image recognition in HR for document verification 3.Pre-interview shortlisting system Designing a pre-interview shortlisting system Key components and workflow *Implementation using machine learning models

Build Simple AI Chatbots for HR
1.What is an AI chatbot Definition and benefits of AI chatbots Types of AI chatbots: rule-based and AI-based Use cases of chatbots in HR 2.Build a simple chatbot from scratch Introduction to chatbot development Basic components of a chatbot Step-by-step guide to building a chatbot using Python 3.Build a simple chatbot with Dialogflow Overview of Dialogflow platform Creating and configuring a chatbot in Dialogflow *Integrating the chatbot with HR systems

Machine Learning with Orange
1.What is Orange Introduction to Orange data mining tool Key features and functionalities Setting up Orange for machine learning tasks 2.Salary predictive model Building a salary prediction model using Orange Data preparation and feature selection Training and evaluating the predictive model 3.CV text classification Implementing CV text classification with Orange Techniques for feature extraction and text processing *Model training and validation for accurate classification

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