Degree IT Academy

  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, deployment, and use of Artificial Intelligence systems . It includes data, tools, technologies, people, infrastructure, and applications that work together to create AI solutions. In simple words: AI Ecosystem is equal to everything needed to build and run AI systems. The AI ecosystem combines technology, data, software, and human intelligence to create smart systems. Understanding its components helps students and professionals learn how AI solutions are developed and used in real-world applica...

  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.     FOR PDF : click here     FOR YOUTUBE EXPLAINATION: 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.

  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.

  What are the Applications of Edge AI in Daily Life Devices? Edge AI is widely used in daily life devices to make them smart and efficient. In refrigerators , it monitors food freshness and suggests storage management.  FOR PDF : click here FOR YOUTUBE EXPLAINATION : 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.

  What is the Concept of Edge AI?     Edge AI refers to running artificial intelligence algorithms directly on local devices (edge devices) instead of sending data to cloud servers.     This allows faster processing, reduced internet dependency, better privacy, and lower bandwidth usage.  FOR PDF: CLICK HERE FOR YOUTUBE VIDEO AND EXPLAINATION: 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.

  EXPLAIN THE PLATFORMS FOR BUILDING AI APPLICATIONS     AI applications can be built using different platforms.     Two main types: •       Online (Cloud-based) •       Desktop (No-code/Low-code) FOR PDF : click here FOR YOUTUBE VIDEO AND EXPLAINATION : 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.

Foundations of Data – Types in Artificial Intelligence •       Data is the backbone of Artificial Intelligence systems. •       Artificial Intelligence systems depend on data for learning and decision-making. •       Understanding different types of data is essential for building AI applications. •       Data in AI is mainly classified into three types: 1. Structured Data 2. Semi-Structured Data                          3. Unstructured Data   FOR PDF : click here FOR VIDEO AND EXPLANATION : 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.

Difference between HDD and SSD  Feature HDD (Hard Disk Drive) SSD (Solid State Drive) Technology Uses spinning disks, magnetic disks and mechanical heads Uses flash memory chips Moving Parts Yes No Speed Slower read/write speed Very fast read/write speed Durability Less durable, can be damaged by shock More durable and shock-resistant  FOR PDF : click here FOR YOU TUBE VIDEO AND EXPLANATIONS : 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.

  Explain the hardware used in building AI applications . Þ    Artificial intelligence (AI) computer hardware and design principles enable AI developers to run machine learning algorithms and huge datasets in data centers. Þ    Hardware implementation of AI involves the design and execution of different components that are vital to AI systems, including processors, memory, and Storage . Þ    AI algorithms require a tremendous amount of computing power for their proper functioning, and hardware plays a crucial role in providing this support.     FOR PDF: click here    FOR VIDEO AND YOUTUBE EXPLANATION: click here

2.  Describe the role of memory in AI systems. Memory plays a vital role in Artificial Intelligence (AI) systems by enabling them to store, retrieve, and use information for  learning, reasoning, decision-making, context retention, and personalization. Just like human memory, AI memory helps systems improve performance based on past experiences. It enables AI to transition from reactive, single-tasking tools into, persistent agents that maintain context over long-term, multi-step tasks. FOR  PDF  :  CLICK  HERE FOR VIDEO AND EXPLAINATION : 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.

  1. Explain different processors used in AI applications. Processors are the brain of AI systems. They perform calculations and run AI models. 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,  or transmitted in any form without written permission from the author.

 Keyboard  Keyboard is the most common and very popular input device which helps in  inputting data to the computer. The layout of the keyboard is like that of traditional  typewriter, although there are some additional keys provided for performing  additional functions. The keys on the keyboard are as follows:   PDF FOR KEYBOARD :  click  here FOR EXPLAINATION IN  YOUTUBE CLICK HERE © 2026 Degree IT Academy. Unauthorized copying or redistribution is prohibited.

What is a Computer? A computer is an electronic device that takes data through input devices, processes it using instructions, and gives meaningful information through output devices. click on the YouTube link for Explanation:  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, shared, or transmitted in any form without written permission from the author.