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2025 AI Py Dev Megaclass 300 Hands-on Proj
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2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'.txt
1. Week 1 Python Basics for AI
001 Intro Week 1 Python Prog Basics.mp4
002 Day 1 Intro Python and Dev Setup.mp4
003 Day 2 Control Flow in Python.mp4
004 Day 3 Functions and Modules.mp4
005 Day 4 Data Structure List, Tuple, Dict, Set.mp4
006 Day 5 Working with Strings.mp4
007 Day 6 File Handling.mp4
008 Day 7 Pythonic Code and Project Work.mp4
009 Video ''009'' does not exist. Cont. to ''010...''.txt
Additional Files
AIBootcamp.pdf
Code files.zip
Python100Days Code.zip
Python100Days.pdf
10. Week 10 CNNs
074 Introduction to Week 10 Convolutional Neural Networks (CNNs).mp4
075 Day 1 Introduction to Convolutional Neural Networks.mp4
076 Day 2 Convolutional Layers and Filters.mp4
077 Day 3 Pooling Layers and Dimensionality Reduction.mp4
078 Day 4 Building CNN Architectures with Keras and TensorFlow.mp4
079 Day 5 Building CNN Architectures with PyTorch.mp4
080 Day 6 Regularization and Data Augmentation for CNNs.mp4
081 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp4
11. Week 11 RNNs, Sequence Modeling
082 Introduction to Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling.mp4
083 Day 1 Introduction to Sequence Modeling and RNNs.mp4
084 Day 2 Understanding RNN Architecture and Backpropagation Through Time (BPTT).mp4
085 Day 3 Long Short-Term Memory (LSTM) Networks.mp4
086 Day 4 Gated Recurrent Units (GRUs).mp4
087 Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4
088 Day 6 Sequence-to-Sequence Models and Applications.mp4
089 Day 7 RNN Project – Text Generation or Sentiment Analysis.mp4
12. Wk 12 Transformer, Attention Mechanism
090 Introduction to Week 12 Transformers and Attention Mechanisms.mp4
091 Day 1 Introduction to Attention Mechanisms.mp4
092 Day 2 Introduction to Transformers Architecture.mp4
093 Day 3 Self-Attention and Multi-Head Attention in Transformers.mp4
094 Day 4 Positional Encoding and Feed-Forward Networks.mp4
095 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.mp4
096 Day 6 Advanced Transformers – BERT Variants and GPT-3.mp4
097 Day 7 Transformer Project – Text Summarization or Translation.mp4
13. Week 13 Transfer Learning, Fine Tuning
098 Introduction to Week 13 Transfer Learning and Fine-Tuning.mp4
099 Day 1 Introduction to Transfer Learning.mp4
100 Day 2 Transfer Learning in Computer Vision.mp4
101 Day 3 Fine-Tuning Techniques in Computer Vision.mp4
102 Day 4 Transfer Learning in NLP.mp4
103 Day 5 Fine-Tuning Techniques in NLP.mp4
104 Day 6 Domain Adaptation and Transfer Learning Challenges.mp4
105 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.mp4
14. Week 1 Python Basics
106 Learn Python from Scratch - Quick Tutorial.mp4
107 Day 1 Welcome Message Generator Print Statements & Hello World.mp4
108 Day 2 Personalized Greeting Program Variables & Data Types.mp4
109 Day 3 Simple Calculator User Input & String Formatting.mp4
110 Day 4 Number Comparison Tool If-Else Statements.mp4
111 Day 5 Countdown Timer Loops (For & While).mp4
112 Day 6 Basic Math Quiz Game Functions.mp4
113 Day 7 Shopping List App Lists.mp4
15. Week 2 Intermediate Python
114 Day 8 Contact Book Dictionaries.mp4
115 Day 9 Ingredient Checker Tuples & Sets.mp4
116 Day 10 Note-Taking App File Handling.mp4
117 Day 11 Safe Calculator Exception Handling.mp4
118 Day 12 Temperature Converter Functions with Return Values.mp4
119 Day 13 Student Grade Manager List Comprehensions.mp4
120 Day 14 Random Password Generator Modules & Libraries.mp4
16. Week 3 Working with Data
121 Day 15 Recipe Viewer App Reading Files.mp4
122 Day 16 Daily Journal Logger Writing Files.mp4
123 Day 17 Student Report Generator CSV Files.mp4
124 Day 18 Mini To-Do App JSON Files.mp4
125 Day 19 Weather App using API APIs (Basics).mp4
126 Day 20 Event Countdown Timer Dates & Time.mp4
127 Day 21 Wikipedia Article Scraper Web Scraping.mp4
17. Week 4 Object Orient Prog
128 Day 22 Bank Account Simulator Classes & Objects.mp4
129 Day 23 Library Management System Constructors & Methods.mp4
130 Day 24 Employee Management System Inheritance.mp4
131 Day 25 Animal Sound Simulator Polymorphism.mp4
132 Day 26 Secure User Profile App Encapsulation.mp4
133 Day 27 Inventory Management System Static & Class Methods.mp4
134 Day 28 Mini ATM Machine Final OOP Project.mp4
18. Week 5 GUI Programming
135 Day 29 Simple GUI App Tkinter Basics.mp4
136 Day 30 Click Counter App Buttons & Events.mp4
137 Day 31 BMI Calculator Input Fields.mp4
138 Day 32 Drawing Pad App Canvas Widgets.mp4
139 Day 33 Simple Login System Message Boxes.mp4
140 Day 34 To-Do List GUI Advanced Widgets.mp4
141 Day 35 Expense Tracker App GUI Capstone.mp4
19. Week 6 Web Dev w Python
142 Day 36 Hello Flask App Flask Basics.mp4
143 Day 37 Personal Blog Website Routes & Templates.mp4
144 Day 38 Contact Form App Forms & User Input.mp4
145 Day 39 User Registration App Database Integration.mp4
146 Day 40 Mini Weather API REST APIs.mp4
147 Day 41 Deploy Flask App Deployment.mp4
148 Day 42 Portfolio Website Flask Capstone.mp4
2. Week 2 Data Science Essentials for AI
010 Intro Week 2 Data Science Essentials.mp4
011 Day 1 Intro NumPy for Numerical Computing.mp4
012 Day 2 Advanced NumPy Operations.mp4
013 Day 3 Intro Pandas for Data Manipulation.mp4
014 Day 4 Data Cleaning and Prep - Pandas.mp4
015 Day 5 Data Aggregation, Grouping in Pandas.mp4
016 Day 6 Data Visualize, Matplotlib, Seaborn.mp4
017 Day 7 EDA Project.mp4
20. Week 7 Data Science Basics
149 Day 43 Matrix Calculator NumPy.mp4
150 Day 44 Data Cleaner Pandas.mp4
151 Day 45 Graph Plotter Matplotlib.mp4
152 Day 46 Sales Report Analyzer Data Analysis.mp4
153 Day 47 Temperature Plotter Plotting Trends.mp4
154 Day 48 Stock Price Tracker Data Scraping.mp4
155 Day 49 COVID-19 Dashboard Capstone Project.mp4
21. Days 50-60 Intermed Projs
156 Day 50 Weather Dashboard App.mp4
157 Day 51 Expense Tracker.mp4
158 Day 52 File Organizer Tool.mp4
159 Day 53 Tic-Tac-Toe Game.mp4
160 Day 54 Mini Chatbot.mp4
161 Day 55 Music Playlist Organizer.mp4
162 Day 56 Personal Budget Planner.mp4
163 Day 57 ASCII Art Generator.mp4
164 Day 58 Pomodoro Timer.mp4
165 Day 59 Markdown to HTML Converter.mp4
166 Day 60 Personal Diary App.mp4
22. Days 61-70 Adv Intermed Projs
167 Day 61 Social Media Scraper.mp4
168 Day 62 Automated Backup Tool.mp4
169 Day 63 Movie Recommendation System.mp4
170 Day 64 PDF Merger Tool.mp4
171 Day 65 Portfolio Website Backend.mp4
172 Day 66 Flashcards Learning App.mp4
173 Day 67 Stock Market Dashboard.mp4
174 Day 68 Task Scheduler.mp4
175 Day 69 Currency Converter.mp4
176 Day 70 Data Visualizer App.mp4
23. Days 71-80 AI, Projs
177 Day 71 Spam Email Detector.mp4
178 Day 72 Text Sentiment Analyzer.mp4
179 Day 73 Handwriting Digit Recognition.mp4
180 Day 74 Voice Assistant.mp4
181 Day 75 Face Detection App.mp4
182 Day 76 Simple Recommendation System.mp4
183 Day 77 AI Chatbot with NLP.mp4
184 Day 78 Object Detection App.mp4
185 Day 79 Language Translator Tool.mp4
186 Day 80 Fake News Detector.mp4
24. Machine in Py
187 Intro Algorithms and in Python.mp4
188 1 Supervised Linear Regression.mp4
189 2 Sup. Ridge, Lasso Regression.mp4
190 3 Supervised Polynomial Regression.mp4
191 4 Supervised Logistic Regression.mp4
192 5 Supervised KNN.mp4
193 6 Supervised SVM.mp4
194 7 Supervised Decision Trees.mp4
195 8 Supervised Random Forests.mp4
196 9 Supervised Gradient Boosting.mp4
197 10 Supervised Naive Bayes.mp4
198 11 Unsup. K-Means Clustering.mp4
199 12 Unsup. Hierarchical Clustering.mp4
200 13 Unsupervised DBSCAN.mp4
201 14 Unsupervised GMM.mp4
202 15 Unsupervised PCA.mp4
203 16 Unsup. t-Distributed Stochastic.mp4
204 17 Unsupervised Autoencoders.mp4
205 18 Self-Training.mp4
206 19 Q-Learning.mp4
207 20 Deep Q-Networks (DQN).mp4
208 21 Policy Gradient Methods.mp4
209 22 One-Class SVM.mp4
210 23 Isolation Forest.mp4
211 24 CNNs.mp4
212 25 RNNs.mp4
213 26 LSTM.mp4
214 27 Transformers.mp4
3. Week 3 Math for, AI
018 Intro Week 3 Mathematics for Machine Learning.mp4
019 Day 1 Linear Algebra Fundamentals.mp4
020 Day 2 Advanced Linear Algebra Concepts.mp4
021 Day 3 Calculus for Machine Learning (Derivatives).mp4
022 Day 4 Calculus (Integrals and Optimization).mp4
023 Day 5 Probability Theory, Distributions.mp4
024 Day 6 Statistics Fundamentals.mp4
025 Day 7 Math-Driven Mini Proj – Linear Regression.mp4
4. Wk 4 Probability, Stats, AI
026 Intro Week 4 Probability and Statistics.mp4
027 Day 1 Probability Theory and Random Variables.mp4
028 Day 2 Probability Distributions in Machine Learning.mp4
029 Day 3 Stat Inference - Estimation, Confidence Intervals.mp4
030 Day 4 Hypothesis Testing and P-Values.mp4
031 Day 5 Types of Hypothesis Tests.mp4
032 Day 6 Correlation and Regression Analysis.mp4
033 Day 7 Stat Analysis Proj – Analyzing Real-World Data.mp4
5. Week 5 Intro to Machine Learning
034 Intro Week 5 Machine Learning.mp4
035 Day 1 Machine Learning Basics, Terminology.mp4
036 Day 2 Intro Supervised Learning, Regress Model.mp4
037 Day 3 Adv Regression – Polynomial Regularization.mp4
038 Day 4 Intro Classification and Logistic Regression.mp4
039 Day 5 Model Evaluation and Cross-Validation.mp4
040 Day 6 k-Nearest Neighbors (k-NN) Algorithm.mp4
041 Day 7 Supervised Learning Mini Project.mp4
6. Week 6 Feature Engineering, Model Eval
042 Intro Week 6 Feature Engineering, Model Eval.mp4
043 Day 1 Introduction to Feature Engineering.mp4
044 Day 2 Data Scaling and Normalization.mp4
045 Day 3 Encoding Categorical Variables.mp4
046 Day 4 Feature Selection Techniques.mp4
047 Day 5 Creating and Transforming Features.mp4
048 Day 6 Model Evaluation Techniques.mp4
049 Day 7 Cross-Validation, Hyperparameter Tun.mp4
7. Wk 7 Adv Machine Learning Algorithms
050 Intro Week 7 Adv Algorithms.mp4
051 Day 1 Introduction to Ensemble Learning.mp4
052 Day 2 Bagging and Random Forests.mp4
053 Day 3 Boosting and Gradient Boosting.mp4
054 Day 4 Introduction to XGBoost.mp4
055 Day 5 LightGBM and CatBoost.mp4
056 Day 6 Handling Imbalanced Data.mp4
057 Day 7 Proj – Compare Models Real Dataset.mp4
8. Week 8 Model Tuning, Optimization
058 Introduction to Week 8 Model Tuning and Optimization.mp4
059 Day 1 Introduction to Hyperparameter Tuning.mp4
060 Day 2 Grid Search and Random Search.mp4
061 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4
062 Day 4 Regularization Techniques for Model Optimization.mp4
063 Day 5 Cross-Validation and Model Evaluation Techniques.mp4
064 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4
065 Day 7 Optimization Project – Building and Tuning a Final Model.mp4
066 Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp4
9. Week 9 Neural Networks, Deep Learning
067 Day 1 Introduction to Deep Learning and Neural Networks.mp4
068 Day 2 Forward Propagation and Activation Functions.mp4
069 Day 3 Loss Functions and Backpropagation.mp4
070 Day 4 Gradient Descent and Optimization Techniques.mp4
071 Day 5 Building Neural Networks with TensorFlow and Keras.mp4
072 Day 6 Building Neural Networks with PyTorch.mp4
073 Day 7 Neural Network Project – Image Classification on CIFAR-10.mp4
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