• NeoLibrary LMS

    NeoLibrary LMS is a modern digital learning platform that empowers learners to access, share, and grow knowledge in the 21st century. Inspired by the idea of a library without walls, it provides interactive courses, digital resources, and collaborative tools that promote self-paced and lifelong learning. Combining innovation with wisdom, NeoLibrary LMS bridges traditional learning values with modern technology to create an engaging and inclusive educational experience.
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Available courses

Archives Management

This course introduces learners to the basic principles and practices of managing archives. It covers how archives are created, organized, preserved, and accessed for future use. Learners will gain practical skills in handling both physical and digital archives to support institutional memory and accountability.

Records Management

This course provides trainees with the knowledge and skills required to create, manage, store, protect, and dispose of records in an organization. It covers both manual and electronic records systems, emphasizing best practices in classification, retrieval, retention, preservation, and legal compliance. Learners will gain practical competencies in organizing records, circulating records for action, applying security measures, and supporting efficient decision-making through proper records management.

Digitization and Artificial Intelligence in Libraries

Course Description: Digitization and Artificial Intelligence in Libraries

This course explores the integration of digitization technologies and artificial intelligence (AI) in the modernization of library and information services. It equips learners with the knowledge and practical skills to convert physical materials into digital formats, manage electronic collections, and apply intelligent systems for improved access, retrieval, and preservation of information.

Learners will examine how machine learning, optical character recognition (OCR), and metadata automation are transforming library workflows. The course also introduces reference management software, digital curation practices, and ethical considerations in AI-driven libraries.

Learning Outcomes:
By the end of this course, learners will be able to:

  1. Explain the concepts and importance of digitization in libraries.

  2. Apply AI and machine learning tools in digital resource management.

  3. Perform basic digitization processes, including scanning and OCR.

  4. Use reference management tools for digital scholarship.

  5. Evaluate the ethical and professional issues in AI-enhanced library services.