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Artificial Intelligence 2026, 50+ Quick Lessons

Category: Tutorials


Artificial Intelligence 2026, 50+ Quick Lessons
Artificial Intelligence 2026, 50+ Quick Lessons
Published 3/2026
Created by Dr. Ahmad Hassan Afridi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 51 Lectures ( 5h 49m ) | Size: 3.23 GB

Artificial Intelligence for Everyone , World Class University level education, Now available in Micro learning
What you'll learn
✓ Understanding the basic concepts of Artificial Intelligence
✓ Identify and learn different types of Artificial Intelligent systems
✓ Understand and Analyze Artificial Intelligent systems
✓ Create different types of Artificial Intelligent programs and systems
Requirements
● Interest in Science and Technology
● Interest in Artificial Intelligence
Description
"This course contains the use of artificial intelligence."
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. With short, focused videos, you will understand key AI concepts quickly without feeling overwhelmed.
What Makes This Course Unique• Micro-learning format (5-minute lessons)• 50+ concise lectures• Real-world case studies• Easy explanations (no complex math)• Covers modern AI tools and workflows
What You Will Learn• Fundamentals of Artificial Intelligence• Difference between AI, Machine Learning, and Deep Learning• Real-world AI applications (healthcare, finance, transport, etc.)• AI tools and technologies in 2026• Common AI workflows and use cases• Basics of prompt engineering and modern AI systems
Skills You Will Gain• Understanding of AI concepts• Ability to explain AI in simple terms• Awareness of AI tools and trends• Practical thinking about AI applications
Who this course is for
■ People who have no background of technology or computer science
■ People who want to apply AI in professional setups
■ People who want to understand AI with simple example and ultimately understand complexities of AI system
■ Recommended for Undergraduate , Graduate level , Professionals in ( mid and executive) level career



   
   
   


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