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Basics Of Artificial Intelligence - Easy to Understand ( NEW )

person icon Khaja Mohideen Mohamed Ismail

4.6

Basics Of Artificial Intelligence - Easy to Understand ( NEW )

Unlock the Future: Master AI for a Smarter Tomorrow

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Khaja Mohideen Mohamed Ismail

category icon IT and Software ,Other IT and Software,Machine Learning

Lectures -19

Duration -2.5 hours

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4.6

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Course Description

The long journey to artificial intelligence has that beginner and enthusiast work. You will be taught about the basics, tools, and applications of AI while being grounded in robotics, machine learning, and natural language processing.

Through interaction, case studies, and real-world projects, you learned how AI is transforming many industries. Within the scope of different AI career paths, starting your own enterprise, or just for fun, this course enables one to acquire the knowledge and skill sets in order to comfortably navigate through AI. 

Come and discover how to apply AI in your favor in promoting innovation in your region!

Goals

Understand AI Fundamentals
Gather profound enamor alive of an AI—its meaning as well as its key terms or principles and even the discernible differences between the AI and non-AI structure.

Explore AI Concepts and Technique
Scrutinize the crux of the AI all by teaching how to build models, train neural networks, label data, and thus lay the strong theoretical foundation for practical applications.

Master Machine Learning Principles
On the one hand, grasping the basics of precedent models like linear regression and diving into the subtleties of deep learning to provide students with the rudimentary analysis of skills in data science.

Discover Natural Language Processing (NLP)
Understand the basic principles of NLP and practical applications such as extracting keywords to make the AI more user-friendly in terms of language-related tasks.

Gain Practical AI Skills
Developing skills at the coding level and tools relevant to AI development; coding practice and project development with APIs and platforms like Google Colab.

Use AI in Multiple Industries
Explore the use of AI in different sectors: finance, IT, and automobile, by learning how they can enhance processes such as portfolio management, market surveillance, and requirements engineering.

Implement AI Solutions
Gain practical experience in creating AI-based applications and websites and using tools like ChatGPT in day-to-day tasks in IT and project management.

Develop Problem-Solving Skills
Coding exercises and quizzes provide a way for immediate reinforcement and confirmation of comprehension of key concepts to allow students to apply the knowledge to problem-solving in real-world situations.


Foster Continuous Learning
Urgent skills in AI call for more exploration into the resources and tools essential for keeping up with the pace; thus, participation in continuous learning in the ever-evolving field of artificial intelligence.

Empower Career Advancement
Knowledge and emphasis in AI technologies used within given domains will punctuate an individual's career growth in industries such as finance, IT, automobile, and beyond.

By the end of this course, they would be more than ready to understand, develop, and implement AI solutions, thus making themselves a great asset to their industries.

Prerequisites

  • No prerequisites required but basic IT or Computer knowledge would be great which will help you 

  • If not then do pre prepare i.e get some computer basics knowledge

Basics Of Artificial Intelligence - Easy to Understand ( NEW )

Curriculum

Check out the detailed breakdown of what’s inside the course

AI Course

10 Lectures
  • play icon About me 02:00 02:00
  • play icon Artificial Introduction Everyone Can Understand 14:38 14:38
  • play icon AI and Non-AI Systems - A Comparision 09:10 09:10
  • play icon AI is all about Data 13:40 13:40
  • play icon What are neural networks , similar to our brain ? 06:44 06:44
  • play icon What is machine learning 10:46 10:46
  • play icon Machine Learning model example Linear Regression Model 08:01 08:01
  • play icon What does it mean Deep Learning 11:24 11:24
  • play icon What does it mean Labelling in AI 04:34 04:34
  • play icon What does it mean Generative AI 04:16 04:16

General Information about AI

3 Lectures
Tutorialspoint

AI Practicals

6 Lectures
Tutorialspoint

Instructor Details

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Khaja mohideen Mohamed ismail

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