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Ai, Machine Learning & Genai In A Weekend - For Non-Coders
![]() Ai, Machine Learning & Genai In A Weekend - For Non-Coders Published 6/2025 Created by K8s Point - Training House for GCP, AI & Kubernetes MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 53 Lectures ( 3h 16m ) | Size: 1.93 GB Learning all about Artificial Intelligence, Machine Learning and Generative AI - Beginners friendly way What you'll learn Basic of Artificial Intelligence , Machine Learning, Generative AI Understand AI Fundamentals Concept of machine learning and its relation to AI Supervised Learning, Unsupervised Learning & Reinforcement Learning in Machine Learning Types of Data - Labelled Data & Unlabelled Data Types of Data - Structured Data & Unstructured Data Stages in Machine Learning Overfitting & Underfitting Generative AI fundamentals what is Natural Language Processing? How Artificial Neural Network works? Foundation Models, Large Language Models, Diffusion Models Basic of Deep Learning Multi-modal Models Token and Embedding in AI Context Window of a model Knowledge Cutoff of a model Hallucination Grounding and RAG in AI All you need to know about Prompt Engineering Requirements Just the Interest to Learn Description Learn Artificial Intelligence, Machine Learning and Generative AI in the simplest possible way. Make yourself AI aware. End of this course, you will be in a position to speak AI with othersDesigned for beginners with ZERO knowledge on AI. No Coding skill requiredThis course is designed to cover everything about AI in a high level. It covers all the key concept of AI in a beginners friendly manner with easy to understand examples. You will Learn:Fundamental of Artificial Intelligence, Machine Learning and Generative AI Concept of machine learning and its relation to AISupervised Learning, Unsupervised Learning & Reinforcement Learning in Machine LearningTypes of Data - Labelled Data & Unlabelled DataTypes of Data - Structured Data & Unstructured DataStages in Machine LearningOverfitting & UnderfittingWhat is Natural Language Processing?How Artificial Neural Network works?Foundation Models, Large Language Models, Diffusion ModelsBasic of Deep LearningMulti-modal ModelsToken and Embedding in AIContext Window of a modelKnowledge Cutoff of a modelHallucinationGrounding and RAG in AIAll you need to know about Prompt EngineeringWho Should Take This Course?This course is designed for anyone interested in learning about AI, including:Beginners who wants to understand AI without coding.IT Engineers and IT Managers who is working with AI or planning to work with AIStudents preparing for careers in technology and need basic understanding of AI Who this course is for Beginners who wants to learn AI, Machine Learning and Generative AI in Non-Technical Terms Beginners who wants to understand AI without coding IT Engineers and IT Managers who is working with AI or planning to work with AI Students preparing for careers in technology and need basic understanding of AI Homepage Цитата:
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