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AI For Beginners 2025 : Master The Basics Of Ai In 1 Hour
Learn the fundamentals of AI, Machine Learning, and Generative AI -no coding or math needed! Perfect for beginners!
What you'll learn
Introduction to Artificial Intelligence
Introduction to Machine Learning
Introduction to Neural Networks & Deep Learning
Introduction to Generative AI (Gen AI)
Large Language Models (LLMs)
Steps in building Machine Learning Models
Types of Data used in Machine Learning
Labeled Data & Unlabelled Data
Structured & Unstructured Data
Supervised & Unsupervised Learning
Reinforcement & Self-Supervised Learning
Types of Inferencing - Batch & Real-time
Foundation Models in Gen AI
Diffusion Models
Multimodal Models
Introduction to Prompt Engineering
Output Optimisation & Fine-tuning
Retrieval Augmented Generation (RAG)
Cost of building & running AI systems
Ethical Considerations in AI
Requirements
Zero prerequisites! Beginner-friendly AI course. No math/coding required-just enthusiasm to learn. We explain everything simply.
Description
Welcome to "AI for Beginners 2025 : Master the Basics of AI in 1 Hour" - your first step into the fascinating world of AI! In this course, you'll discover:What AI really is (and isn't!)How Machine Learning & Deep Learning powers everyday technologyWhy Generative AI (Gen AI) like ChatGPT is transforming industriesThe core concepts we'll unpack togetherPerfect for complete beginners, this course requires no technical background - just your curiosity! We'll break down complex ideas into simple, relatable examples, preparing you to:✓ Understand AI news and trends✓ Speak confidently about AI terms✓ Explore potential career paths✓ Make informed decisions about AI toolsHere's what you'll learn:We'll start with an Introduction to AI, where we'll explore what artificial intelligence is and how it's shaping industries like healthcare, finance, and entertainment.Then, we'll dive into the Types of AI-from narrow AI that powers your favorite apps to the dream of general AI that can think like a human.Next, we'll explore Machine Learning, the heart of AI. You'll learn about the steps to build a machine learning model, the importance of training data, and the difference between labeled and unlabeled data. We'll also break down structured and unstructured data-because not all data is created equal!Ever wondered how Netflix knows what you want to watch next? That's Supervised Learning at work! Or how your email filters out spam? That's Unsupervised Learning. We'll explain these concepts in simple terms, with real-world examples to make it all click.But we won't stop there! We'll introduce you to Neural Networks and Deep Learning-the technologies behind facial recognition and voice assistants. And get ready to explore the exciting world of Generative AI, where machines can create art, write stories, and even compose music!We'll cover Foundation Models, Large Language Models (LLMs) like ChatGPT, and even Diffusion Models-the magic behind AI-generated images. Plus, we'll dive into Multimodal Models that can understand text, images, and more!We'll also explore advanced topics like Retrieval Augmented Generation (RAG) and Model Output Optimization, so you understand how AI systems deliver accurate and useful results. And because AI isn't just about technology, we'll discuss the Cost of Building and Running AI Systems and the Ethical Considerations-because with great power comes great responsibility!By the end of this course, you'll have a solid understanding of AI concepts, terminologies, and tools. You'll be ready to take your first steps into the world of AI, whether for a career, a hobby, or just to satisfy your curiosity.So, are you ready to unlock the power of artificial intelligence? Let's get started!No coding • No math • Just clear and simple explanations
Absolute beginners curious about AI! Professionals, students, or hobbyists-no tech background needed. Perfect if you want to understand AI basics fast.
Download link
rapidgator.net:
nitroflare.com:
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 407.96 MB | Duration: 0h 53m
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 407.96 MB | Duration: 0h 53m
Learn the fundamentals of AI, Machine Learning, and Generative AI -no coding or math needed! Perfect for beginners!
What you'll learn
Introduction to Artificial Intelligence
Introduction to Machine Learning
Introduction to Neural Networks & Deep Learning
Introduction to Generative AI (Gen AI)
Large Language Models (LLMs)
Steps in building Machine Learning Models
Types of Data used in Machine Learning
Labeled Data & Unlabelled Data
Structured & Unstructured Data
Supervised & Unsupervised Learning
Reinforcement & Self-Supervised Learning
Types of Inferencing - Batch & Real-time
Foundation Models in Gen AI
Diffusion Models
Multimodal Models
Introduction to Prompt Engineering
Output Optimisation & Fine-tuning
Retrieval Augmented Generation (RAG)
Cost of building & running AI systems
Ethical Considerations in AI
Requirements
Zero prerequisites! Beginner-friendly AI course. No math/coding required-just enthusiasm to learn. We explain everything simply.
Description
Welcome to "AI for Beginners 2025 : Master the Basics of AI in 1 Hour" - your first step into the fascinating world of AI! In this course, you'll discover:What AI really is (and isn't!)How Machine Learning & Deep Learning powers everyday technologyWhy Generative AI (Gen AI) like ChatGPT is transforming industriesThe core concepts we'll unpack togetherPerfect for complete beginners, this course requires no technical background - just your curiosity! We'll break down complex ideas into simple, relatable examples, preparing you to:✓ Understand AI news and trends✓ Speak confidently about AI terms✓ Explore potential career paths✓ Make informed decisions about AI toolsHere's what you'll learn:We'll start with an Introduction to AI, where we'll explore what artificial intelligence is and how it's shaping industries like healthcare, finance, and entertainment.Then, we'll dive into the Types of AI-from narrow AI that powers your favorite apps to the dream of general AI that can think like a human.Next, we'll explore Machine Learning, the heart of AI. You'll learn about the steps to build a machine learning model, the importance of training data, and the difference between labeled and unlabeled data. We'll also break down structured and unstructured data-because not all data is created equal!Ever wondered how Netflix knows what you want to watch next? That's Supervised Learning at work! Or how your email filters out spam? That's Unsupervised Learning. We'll explain these concepts in simple terms, with real-world examples to make it all click.But we won't stop there! We'll introduce you to Neural Networks and Deep Learning-the technologies behind facial recognition and voice assistants. And get ready to explore the exciting world of Generative AI, where machines can create art, write stories, and even compose music!We'll cover Foundation Models, Large Language Models (LLMs) like ChatGPT, and even Diffusion Models-the magic behind AI-generated images. Plus, we'll dive into Multimodal Models that can understand text, images, and more!We'll also explore advanced topics like Retrieval Augmented Generation (RAG) and Model Output Optimization, so you understand how AI systems deliver accurate and useful results. And because AI isn't just about technology, we'll discuss the Cost of Building and Running AI Systems and the Ethical Considerations-because with great power comes great responsibility!By the end of this course, you'll have a solid understanding of AI concepts, terminologies, and tools. You'll be ready to take your first steps into the world of AI, whether for a career, a hobby, or just to satisfy your curiosity.So, are you ready to unlock the power of artificial intelligence? Let's get started!No coding • No math • Just clear and simple explanations
Absolute beginners curious about AI! Professionals, students, or hobbyists-no tech background needed. Perfect if you want to understand AI basics fast.
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Download link
rapidgator.net:
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nitroflare.com:
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