Ai Concepts & Intelligent Systems Foundations For Beginners
Ai Concepts & Intelligent Systems: Foundations For Beginners
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.65 GB | Duration: 2h 6m
AI basics made easy: Machine Learning, Deep Learning, AI architecture, and Quantum AI overview.
What you’ll learn
Fundamentals of Artificial Intelligence and its real-world applications
Key concepts of Machine Learning, Deep Learning, and Neural Networks
How intelligent systems make decisions and learn from data
Differences between AI, ML, and Data Science
Introduction to Natural Language Processing (NLP) and Computer Vision
AI use cases across industries like healthcare, finance, and automation
Requirements
No prior eStudents exploring AI as a career option.
Basic understanding of computers is helpful but not mandatory
Description
Step into the world of Artificial Intelligence with a strong and structured foundation designed for beginners and aspiring professionals.This course, "AI Concepts & Intelligent Systems Foundations," provides a comprehensive introduction to the core building blocks of AI, including Machine Learning, Deep Learning, AI system architecture, and emerging concepts like Quantum AI. It is carefully designed to simplify complex ideas and help you understand how intelligent systems work in real-world scenarios.You will begin by exploring the fundamentals of Artificial Intelligence-its evolution, types, and how it compares with human intelligence-along with important discussions on ethical and responsible AI. As you progress, you will gain a clear understanding of Machine Learning techniques such as supervised, unsupervised, and reinforcement learning, along with key concepts like model evaluation, overfitting, and classification.The course then introduces Deep Learning concepts, including neural networks, activation functions, CNNs, RNNs, and transformer architectures that power modern AI systems like large language models (LLMs). You will also learn how AI systems are built and deployed through data pipelines, training vs inference processes, and cloud-based architectures.Finally, the course offers a forward-looking introduction to Quantum AI, explaining fundamental concepts such as qubits, superposition, and how quantum computing can influence the future of machine learning.
Non-technical learners curious about AI Anyone who wants to understand how intelligent systems workxperience required.,Professionals looking to upskill in AI fundamentals.,Basic understanding of computers is helpful but not mandatory.,No prior eStudents exploring AI as a career option.
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