Artificial Intelligence Masterclass Real-World Ai Projects

Master AI with hands-on projects, ChatGPT, machine learning, computer vision, no-code tools & real-world case studies —

What you'll learn

Understand the core concepts of Artificial Intelligence and how AI is shaping the future.

Differentiate between Artificial Intelligence, Machine Learning, and Deep Learning.

Identify real-world applications of AI in healthcare, finance, retail, and more.

Gain hands-on experience with basic AI tools, platforms, and use cases.

Requirements

No programming experience needed. This course is designed for absolute beginners.

Description

Unlock the power of Artificial Intelligence with this in-depth AI Masterclass designed for beginners, students, and professionals eager to explore the future of technology.This comprehensive course will take you from foundational concepts to practical, real-world applications of AI. You will gain hands-on experience building AI models using modern tools such as ChatGPT, Teachable Machine, and Azure AI, without needing prior programming knowledge.Whether you're a student curious about AI, a working professional transitioning to a tech career, or a business leader looking to integrate AI into your operations, this course provides the knowledge, skills, and confidence to get started.By the end of the course, you'll understand the core concepts of machine learning, deep learning, natural language processing, and ethical AI. You'll also complete several real-world projects that showcase how AI is used in industries like healthcare, finance, education, and marketing.This course is crafted to be engaging, beginner-friendly, and packed with useful insights, making it the ideal starting point for anyone serious about AI. You'll also explore the future of AI trends, prompt engineering techniques, and how to use AI responsibly. Empower yourself with cutting-edge tools and practical knowledge that make complex AI topics easy to understand and apply.

Overview

Section 1: Introduction -Data Science Part-1

Lecture 1 Introduction

Lecture 2 Data Science-Part2

Lecture 3 Data Science Part_3

Lecture 4 Data Wrangling

Lecture 5 Data Visualization & Data Extraction- DW & DV-2

Lecture 6 Data Visualization& Date Extraction-DS-DEX

Lecture 7 Hierarchical Clustering- Clust-1

Lecture 8 Correlation_Coafficient-Corre_Coefi-1

Lecture 9 Correlation_Coefficicient - Corr-2A

Lecture 10 Cprrelation-3

Lecture 11 Correlation

Lecture 12 Credit Card Fraud-detection

Lecture 13 Customer Segmentation-Customer-1

Lecture 14 Decision Tree-Iris-DT-1

Lecture 15 Data Visualization-DV-1

Lecture 16 Data Visualization-DV2_iris

Lecture 17 DV-3-Flights

Lecture 18 Data Visualization-DV-4_Tips

Lecture 19 DV-Employee

Lecture 20 Factor Analysis-FA-2

Lecture 21 kNN-Iris Data

Lecture 22 Heart Disease Prediction-Heart-1

Lecture 23 Heart Disease-Heart-A

Lecture 24 Jupyter -Misc.Exercises-Jupyter_Misc.Ex.

Lecture 25 K-2,Kmeans-Clustering

Lecture 26 K-4, Clustering

Lecture 27 kNN- Iris Data

Lecture 28 Logistic Regression-Log_Reg-2

Lecture 29 Logistic-Regression-Log_Reg-2

Lecture 30 LR-1,Linear Regression

Lecture 31 LR-2,Linear Regression

Lecture 32 LR-3, Linear Regression

Lecture 33 Market Basket Analysis-MBA-1

Lecture 34 Market Basket Analysis-MBA-2

Lecture 35 Market Basket Analysis-MBA-3

Lecture 36 Multiple Linear Regression-MLR-2

Lecture 37 Multi Linear Regression-Regression Housing

Lecture 38 Model Selection BoosterMSB-1

Lecture 39 MSB-2,Model Selection Booster-CV

Lecture 40 MSB-3,Model Selection Booster(Ada Boost)

Lecture 41 Multi Linear Regression-MLR-Wine

Lecture 42 Principal Component, Brest Cancer Classification- PCA,

Lecture 43 Python Basics

Lecture 44 Randon Forest-RF-1

Lecture 45 Support Vactor Machine-SVM-1

Lecture 46 SVM-2

Lecture 47 SVM-3

Lecture 48 Time Series Anasysis-TS-1

Lecture 49 Jupyter Understanding- Jupyter-1

Lecture 50 Jupyter-2

Lecture 51 Jupyter-3

Lecture 52 kNN

Lecture 53 Linear Regression-LR-1

Lecture 54 LR-2

Lecture 55 LR-3

Lecture 56 LR-4

Lecture 57 Logistic Regression

Section 2: Market Basket Analysis-MBA-1

Lecture 58 MBA-1

Lecture 59 MBA-2

Lecture 60 Python Basic-1

Lecture 61 Python Basic-2

Lecture 62 Python Basic-3

Lecture 63 Python Basic-4

Lecture 64 Python Basic-5

Lecture 65 Python Basic-6

Lecture 66 Python_Lib-1

Lecture 67 Python_Lib-2

Lecture 68 Python_Lib-3

Lecture 69 Statistics_Stats-1

Lecture 70 Stats-2

Lecture 71 Supervised Learning_Sup-1-DM

Lecture 72 Suo-2

Lecture 73 Sup-3_TS2

Lecture 74 Sup-3_TS2

Lecture 75 UnSupervised Learning-UnSup-1

Lecture 76 UnSup-2

Lecture 77 UnSup-3

Lecture 78 Machine Learning

Lecture 79 ML-1

Lecture 80 ML-2

Lecture 81 ML-3

Lecture 82 ML-4

Lecture 83 ML-5

Lecture 84 ML-6

Students, professionals, or anyone curious about understanding Artificial Intelligence and its practical use without coding complexity.