Introduction to Artificial Intelligence (AI) (2025)

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Free Download Introduction to Artificial Intelligence (AI) (2025)
Published 12/2025
Created by Srini Vanamala
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 8 Lectures ( 1h 45m ) | Size: 968 MB

Learn AI fundamentals with simple explanations - no jargon, no math overload, no confusion
What you'll learn
How AI really works (without jargon)
The evolution from traditional programming to AI
How AI sees, understands, and generates content
Training vs inference: how AI learns and responds
The full AI lifecycle and real-world usage
Requirements
No prior AI or programming knowledge required
Basic computer usage familiarity
No mathematics or statistics background needed
Suitable for all backgrounds
Description
Artificial Intelligence is everywhere today - but most people learn it in the wrong order.They jump straight into tools, buzzwords, or coding, without understanding how AI actually works under the hood. This course fixes that problem.What this course is aboutThis course is a concept-first, beginner-friendly journey into Artificial Intelligence.Instead of teaching AI as magic or complex mathematics, you'll learn how intelligence is built step by step, starting from traditional computers and moving toward modern AI systems.You'll understand:Why traditional computers fail in real-world problemsHow AI shifts from rules to learningHow machines learn from dataWhy AI predictions are probabilistic, not "right or wrong"How concepts like features, vectors, similarity, and probability work togetherEverything is explained using simple language, real-world analogies, mental models, and visuals - not academic theory.What you will learnBy the end of this course, you will clearly understand:How traditional computers work and why they are not intelligentWhy the world moved from rule-based systems to AIHow machines learn patterns from dataWhat "prediction" really means in AIThe difference between prediction and decision-makingHow AI uses numbers, vectors, and similarity to thinkThe relationship between AI, Machine Learning, and Deep LearningWhere AI succeeds - and where it failsYou will not just memorize terms - you will understand the logic behind them.
Who this course is for
Complete beginners curious about AI
Students and non-technical learners
Working professionals from any domain
Educators, trainers, and content creators
Entrepreneurs and decision-makers
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Introduction to Artificial Intelligence (AI)
Last updated 6/2024
Duration: 2h50m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.61 GB
Genre: eLearning | Language: English​

Foundations and Principles of Artificial Intelligence

What you'll learn
Discover the basic history of how the artificial intelligence field has evolved.
Explore examples of how artificial intelligence technology is changing the modern world.
Learn the different domains of artificial intelligence.
Examine the current trends and challenges in artificial intelligence.

Requirements
No experience needed with AI, I assume you are a complete beginner.

Description
Welcome to "Introduction to Artificial Intelligence", a comprehensive guide designed to immerse students, professionals, and enthusiasts into the transformative world of AI. This course offers a blend of historical context, fundamental concepts, and hands-on experience across the major branches of AI, equipped with interactive quizzes and case studies to enhance understanding and engagement.
1.0 Introduction
Embark on a journey into the realm of artificial intelligence, exploring its significance and omnipresence in the modern world. Understand the pivotal role AI plays across various sectors, revolutionizing how we work, interact, and solve complex problems. This course is tailored for a broad audience, including beginners and those seeking to deepen their understanding of AI, emphasizing an intuitive approach over technical complexity.
2.0 History of Artificial Intelligence
Dive into the rich history of AI, from its philosophical origins to groundbreaking milestones. Learn about the evolution from symbolic AI to the advent of machine learning and deep learning, solidified with a quiz to test your knowledge.
3.0 Fundamentals of Artificial Intelligence
Compare human intelligence to artificial intelligence, exploring the nuances and similarities. Grasp key AI concepts, including algorithms, data, and the mechanisms of learning. Get a solid foundation in machine learning, deep learning, and neural networks, culminating in a quiz.
4.0 Major Branches of AI
Explore the diverse branches of AI, from machine learning to expert systems. Participate in hands-on labs to gain practical experience in each area, followed by a comprehensive quiz to assess your understanding.
5.0 Tools and Technologies in AI
Learn about the essential programming languages and tools that power AI development. Discover the frameworks and libraries that are integral to AI research and application. Understand the hardware requirements for AI, including GPUs and TPUs.
6.0 Ethics and Challenges in AI
Navigate through the ethical landscape of AI, discussing bias, fairness, privacy, and security. This section emphasizes the importance of ethical considerations in AI development, reinforced with a quiz.
7.0 AI in Practice
Delve into real-world applications of AI across different industries. Analyze case studies to understand the practical impact of AI technologies. Consider the future of employment and how AI shapes job landscapes.
8.0 The Future of AI
Explore emerging trends, including quantum computing and AI's role in healthcare. Discuss the potential paths towards achieving Artificial General Intelligence (AGI). Engage with predictions about the future impact of AI on society.
9.0 Getting Started with AI
Chart your educational path in the AI domain. Learn about the skills, roles, and career opportunities in the rapidly evolving field of AI. Discover resources and communities for AI enthusiasts to further their knowledge and network.
10.0 Conclusion
Insights about the author and their journey in the AI field.
Target Audience:
This course is perfect for students, professionals in related fields, and anyone curious about the inner workings and implications of artificial intelligence in our world today.
Course Format:
Engage with a mix of lectures, interactive quizzes, and case studies, designed to cater to various learning styles and provide a comprehensive understanding of AI.
Who this course is for:
Anyone interested in learning more about artificial intelligence.

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