- Identify workplace hazards.
- Understand basic labor laws and conflict resolution strategies.
Course Description: Learn workplace safety basics and understand employee rights and responsibilities. Objectives:
Course Description: Introduction to mobile devices, email, basic apps, and safe internet browsing. Objectives:- Operate smartphones and computers for communication and job search.
- Apply basic digital security practices.
Course Description: Focus on nutritional planning and preparation of balanced meals for families and young children. Objectives:- Create weekly meal plans.
- Cook nutritious and culturally relevant dishes.
Course Description: Introduction to hand sewing, machine sewing, and basic garment repairs. Objectives:- Perform basic repairs and simple sewing projects.
- Develop skills to create minor clothing modifications.
Course Description: Master deep-cleaning techniques, safe use of cleaning products, and sanitation standards. Objectives:- Apply deep-cleaning methods.
- Â Maintain safety and efficiency in residential and commercial environments.
Course Description: Learn how to prepare home-cooked meals and cater small events or family gatherings. Objectives:- Prepare traditional and healthy meals.
- Understand basic presentation and food safety standards.
Course Description: Practical instruction on basic haircutting for women and children using scissors and clippers. Objectives:- Perform simple, safe, and hygienic haircuts.
- Maintain professional hygiene and customer service.
Course Description: Introduction to best practices in childcare, early stimulation techniques, and creating safe, nurturing environments for children. Objectives:- Understand the basic needs of children aged 0 to 6 years.
- Apply safety protocols and stimulate child development through play and routine.
Course Description: This course delves into artificial intelligence applications in railway pavement management, focusing on predictive maintenance, data analytics, and automated inspection systems. Objectives:- Understand AI-driven predictive analytics in railway pavement management.
- Utilize machine learning algorithms to forecast pavement deterioration.
- Integrate IoT sensors for real-time pavement condition monitoring.
- Develop AI-based risk assessment models for railway infrastructure.
- Implement automated data processing for maintenance decision-making.
- Reduce maintenance costs through AI-optimized pavement performance tracking.
- Utilize digital twins for railway pavement lifecycle simulations.
- Assess case studies of AI-driven pavement monitoring solutions.
- Integrate cloud-based data platforms for enhanced pavement diagnostics.
- Develop an AI-powered strategy for long-term pavement management in railways.
Course Description: This course explores state-of-the-art design methodologies that enhance the performance and durability of pavement systems supporting high-speed rail networks. Objectives:- Understand the unique pavement requirements for high-speed rail systems.
- Develop advanced foundation designs for high-speed railway applications.
- Optimize track stiffness and resilience through material selection.
- Implement vibration and noise reduction strategies for high-speed rail pavements.
- Assess climate impact considerations in high-speed rail pavement design.
- Utilize AI and simulation tools for predictive track performance modeling.
- Explore prefabrication techniques for rapid high-speed rail construction.
- Compare case studies on global high-speed rail pavement solutions.
- Evaluate durability and fatigue resistance of high-speed railway pavements.
- Design an optimized pavement system for high-speed rail corridors.