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  Explain about Formatting text in MS – Word. Formatting Text:     Characters are individual letters, numbers, symbols, punctuation marks, and spaces in a document.     In Microsoft Word, you can apply one or more formatting options to a single character or to multiple characters at the same time.     The character formatting options include: o    Font and Font Size o    Font Styles such as Bold , Italic , and Underline o    Font Effects such as text color, highlight color, and Change Case     These formatting tools help improve the appearance and readability of text in a document.     The Font Group , located on the Home Tab of the Ribbon , contains various buttons used for text formatting.     Using these tools, users can easily customize the style and appearance of text.     for PDF: click here     For YouTube video:...

  OAT UNIT – 1 1.   Explain the Features of MS – Word. A. Features of MS – WORD: Microsoft Office Word helps you produce professional-looking documents by providing a comprehensive set of tools for creating and formatting your document in a new interface. A word processor can be used to manipulate text data to produce a letter, a report, a memo, an e- mail message or any other type of correspondence. 1.    Word wrap: Word Wrap is a feature in word processing software like Microsoft Word that automatically moves text to the next line when the current line reaches the end of the page or margin. It helps users continue typing without pressing the Enter key manually. 2.    View Buttons: These buttons allow to use five different document views. They are point layout view, Full Screen Reading View, Web Layout View, Outline View and Draft View. 3.    Table: In Microsoft Office Word, you can insert a table by choosing from a selection of ...

An AI Ecosystem is a complete environment where data, hardware, software, cloud platforms, and experts work together to develop Artificial Intelligence systems. Data is used to train AI models, hardware provides computing power, and algorithms help machines learn and make decisions. AI Ecosystems are used in healthcare, banking, education, agriculture, and many other fields. In simple words, the AI Ecosystem is the complete system that supports the development and use of AI technologies.   Explain the AI Ecosystem and its components. “AI Ecosystem and Its Components Explained with Examples” Artificial Intelligence is transforming modern technology. The AI ecosystem consists of hardware, software, data, algorithms, and human experts working together to build intelligent systems. Understanding the AI ecosystem helps students and developers learn how AI applications work in real life. The AI Ecosystem is the complete environment that supports the development, training, deploymen...

  An AI Data Pipeline is a process that collects, cleans, transforms, stores, and delivers data for Artificial Intelligence systems. First, data is collected from different sources. Then the data is cleaned and transformed into a suitable format. After that, the processed data is stored and used to train AI models. Finally, the AI system analyzes data and gives predictions or decisions. In simple words, an AI Data Pipeline is the complete journey of data from collection to AI prediction. Define Data Pipeline. Explain the Key Stages of AI Data Pipeline.     The AI Data Pipeline refers to the systematic process through which raw data is collected, processed, and transformed into a trained Artificial Intelligence model.     It ensures that data is properly prepared before being used for machine learning or deep learning applications.     Each stage in the pipeline plays a crucial role in improving model performance and accuracy. ...

  Explain about Dataset Licensing & Usage Rights.       Dataset Licensing and Usage Rights refer to the legal permissions and conditions under which a dataset can be accessed, used, modified, and distributed.     In Artificial Intelligence (AI) and Machine Learning (ML), datasets are the foundation for training models.     Therefore, understanding licensing is essential to avoid legal and ethical issues.     Datasets may have a number of components that are protected by copyright including the model or schema for the database, data entry and output sheets and the data itself, to the extent to which it is, or includes, created or expressive works. FOR VIDEO EXPLANATION : click here f FOR PDF: click here © 2026 Degree IT Academy. Unauthorized copying or redistribution is prohibited. © 2026 Degree IT Academy.  This material is protected under copyright law. No part of this document may be copied, stored,...

  What are Data Repositories? And Explain the public Datasets and private Datasets ·         A data repository is a centralized storage system where large collections of data are stored, organized, managed, and maintained for analysis and future use. ·         The data repository uses structured organization methods, standardized schemas, and metadata to ensure the data is always the same and easy to find. ·         In Artificial Intelligence (AI) and Data Science, data repositories are very important because AI models require large amounts of data for training and testing. ·         Data repositories are mainly classified into two types: o    Public Datasets o    Private Datasets FOR PDF : click here FOR YOUTUBE VIDEO : click here © 2026 Degree IT Academy. Unauthorized copying or redistribution is prohibited. ...

  What is the Importance of Ethics and Utility in Building Applications using AI? Þ    AI applications solve real-world problems. Þ    Two key aspects: Utility and Ethics. o    Utility ensures usefulness. o    Ethics ensures responsible usage. FOR PDF : click here FOR YOUTUBE VIDEO : click here © 2026 Degree IT Academy. Unauthorized copying or redistribution is prohibited. © 2026 Degree IT Academy.  This material is protected under copyright law. No part of this document may be copied, stored,  or transmitted in any form without written permission from the author.