Artificial Intelligence 2026, 50+ Quick Lessons [1/2026, ENG] torrent

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Artificial Intelligence 2026, 50+ Quick Lessons

Год выпуска: 1/2026
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/artificial-intelligence-2026-50-quick-lessons/
Автор: Ahmad Hassan Afridi
Продолжительность: 5h 50m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Artificial Intelligence Made Easy: Learn AI in 5-Minute Micro Lessons is a beginner-friendly course designed for students, professionals, and anyone curious about AI, using short, focused videos to help you understand key AI concepts quickly without feeling overwhelmed. Its micro-learning format features 50+ concise lectures, real-world case studies, easy explanations with no complex math, and coverage of modern AI tools and workflows, teaching you the fundamentals of artificial intelligence, the difference between AI, machine learning, and deep learning, real-world AI applications in healthcare, finance, transport, and more, AI tools and technologies in 2026, common AI workflows and use cases, and the basics of prompt engineering and modern AI systems. You'll gain an understanding of AI concepts, the ability to explain AI in simple terms, awareness of AI tools and trends, and practical thinking about AI applications, making it ideal for undergraduate students, beginners with no prior AI knowledge, professionals exploring AI, teachers and educators, and anyone interested in AI. With no prior experience or coding required—just basic computer knowledge and curiosity—this course uses a flexible micro-learning approach you can fit into a busy schedule, and by the end you'll understand how AI is shaping industries and how to start using AI tools in your daily life and career, giving you a strong advantage as AI transforms every industry.
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1 - The AI Basics
1. Introduction to Artificial Intelligence (05:51)
2. Problem Solving and Search (06:47)
3. Uncertainty and Probabilistic Reasoning in AI (05:46)
4. Machine learning Basics and Unsupervised Learning (06:45)
5. Machine Learning Basics and Supervised Learning (06:04)
6. Robotics (06:56)
7. Context Aware Computing (05:23)
8. Swarm Intelligence (06:54)
9. Recommender Systems (06:58)
10. Artificial Neural Networks (07:27)
11. Convolutional Neural Network ( CNN) (06:52)
12. NLP ( Natural Language Processing ) (07:06)
13. Top 10 Machine learning Algorithms (07:16)
14. Large Language Models ( LLM ) and Small Language Models (SLM) (06:55)
15. AI Technology Stack , How to Build AI systems (06:14)

2 - AI Case Studies
16. Human Level Intelligence and Animal Like Ability (06:20)
17. Self Driving car Accident (06:03)
18. How Computers Understand your taste (06:54)
19. Self Driving Car Crashes and Public Trust (08:10)
20. Boeing 737 Max Sensors Problem (06:31)
21. AI Detecting COVID-19 Spread Patterns 2020, Global (06:04)
22. IBM Watson Oncology System Failure (05:35)
23. Toyota Sudden Acceleration Incident 2009, USA (06:57)
24. Unilever Human Resource Management using AI (05:19)

3 - Projects and Code
25. Recommender Systems (05:42)
26. CNN based System (06:57)
27. Context Aware System Project (05:58)
28. Ant Colony Optimization Project (08:05)
29. Image Recognition Project (07:47)

4 - AI and Its Applications in different Fields of Life
30. AI in Medical Sciences (08:02)
31. AI in Town Planning and Architecture (06:39)
32. AI in Human Resource Management (06:57)
33. AI in Finance and Banking (07:16)
34. AI in Oil and Gas (05:47)
35. AI in Supply chain Management (07:35)
36. AI in Education (07:37)
37. AI in Social Sciences (05:21)
38. AI and Marketing (08:39)
39. AI in Civil Engineering (07:08)
40. AI in Software Engineering (08:33)
41. AI in Business (06:10)
42. AI in Research (07:25)
43. Agentic AI (07:24)

5 - Overview of AI tools
44. Claude (06:40)
45. Perplexity Computer (06:52)
46. Langchain (08:13)
47. Notebook LLM (08:40)
48. N8N (08:40)
49. CoPilot (07:14)
50. Python (05:47)

6 - Additional AI Tools and Techniques for Daily work
51. AI for Everyone (05:25)
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Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 30fps, 1206kbps
Аудио: AAC, 44.1Hz, 126kbps, stereo
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