AI

1L1 Artificial Intelligence ko Define Karna→ 2L2 AI vs Machine Learning vs Deep Learning→ 3L3 AI ki Chhoti si History Turing se Modern Era→ 4L4 Aaj ka AI Landscape→ 5L5 AI ke Common Misconceptions→ 6L6 Key Terminology Samjhna→ 7L7 Module 1 Review aur Practice Quiz→

1L1 Narrow AI ANI Todays AI→ 2L2 General AI AGI aur Super AI ASI→ 3L3 AI in Healthcare→ 4L4 AI in Finance aur Business→ 5L5 AI in Transportation aur Daily Life→ 6L6 Computer Vision aur NLP Key AI Domains→ 7L7 Robotics aur Recommendation Systems→ 8L8 Module 2 Review aur Practice Quiz→

1L1 Algorithms Models aur Training Data→ 2L2 Supervised Learning Overview→ 3L3 Unsupervised Learning Overview→ 4L4 Reinforcement Learning Overview→ 5L5 Neural Networks Basics Overview→ 6L6 AI Development Lifecycle→ 7L7 AI Tools aur Platforms Overview→ 8L8 Module 3 Review aur Practice Quiz→

1L1 AI me Bias aur Fairness→ 2L2 Privacy aur Data Protection→ 3L3 Transparency aur Explainability→ 4L4 Responsible AI Frameworks aur Governance→ 5L5 AI ka Social Impact Jobs aur Society→ 6L6 AI ka Future Opportunities aur Challenges→ 7L7 Course WrapUp aur Final Assessment→

1L1 Python AIML ke liye Kyun→ 2L2 Python Refresher Data Types aur Variables→ 3L3 Control Flow Conditions aur Loops→ 4L4 Functions aur Lambda Expressions→ 5L5 File Handling aur Data Formats→ 6L6 Jupyter Environments Setup→ 7L7 Python Best Practices for AIML→ 8L8 Module 1 Review aur Practice Quiz→

1L1 NumPy ka Introduction aur Setup→ 2L2 Array Creation aur Properties→ 3L3 Array Indexing aur Slicing→ 4L4 Vectorized Operations aur Broadcasting→ 5L5 Array Reshaping aur Manipulation→ 6L6 Linear Algebra Operations→ 7L7 Random Number Generation→ 8L8 Module 2 Review aur Practice Quiz→

1L1 pandas ka Introduction Series aur DataFrames→ 2L2 Data Loading CSV Excel aur More→ 3L3 Data Selection aur Filtering→ 4L4 Data Transformation Apply Map Replace→ 5L5 Grouping aur Aggregation→ 6L6 Merging aur Joining DataFrames→ 7L7 Missing Data Handle Karna→ 8L8 Module 3 Review aur Practice Quiz→

1L1 Matplotlib Basics Figure Axes Plots→ 2L2 Advanced Matplotlib Subplots aur Customization→ 3L3 Seaborn Statistical Visualization→ 4L4 Correlation aur Relationship Visualizations→ 5L5 ML ke liye Visualization Best Practices→ 6L6 Charts Customize aur Annotate Karna→ 7L7 Module 4 Review aur Practice Quiz→

1L1 Data Preprocessing kyun Critical Hai→ 2L2 Feature Scaling Normalization→ 3L3 Feature Scaling Standardization→ 4L4 Categorical Variables Encode Karna→ 5L5 TrainTest Split→ 6L6 scikitlearn Pipelines→ 7L7 Outlier Detection aur Handling→ 8L8 Course WrapUp aur Final Assessment→

1L1 Supervised Learning kya hai Deep Dive→ 2L2 Features Labels aur Datasets→ 3L3 Supervised Learning Workflow→ 4L4 BiasVariance Tradeoff→ 5L5 Overfitting aur Underfitting→ 6L6 scikitlearn ka API Pattern→ 7L7 Module 1 Review aur Practice Quiz→

1L1 Simple Linear Regression→ 2L10 Module 2 Review aur Graded Quiz→ 3L2 Multiple Linear Regression→ 4L3 Polynomial Regression→ 5L4 Gradient Descent→ 6L5 Regularization Ridge Regression L2→ 7L6 Regularization Lasso Regression L1→ 8L7 ElasticNet aur Regularization Summary→ 9L8 Regression Evaluation Metrics→ 10L9 EndtoEnd Regression Project→

1L1 Classification kya hai Overview→ 2L10 Module 3 Review aur Graded Quiz→ 3L2 Logistic Regression→ 4L3 KNearest Neighbors KNN→ 5L4 Support Vector Machines SVM→ 6L5 SVM Kernel Trick→ 7L6 Naive Bayes→ 8L7 Classification Metrics Part 1→ 9L8 Classification Metrics Part 2 ROCAUC→ 10L9 EndtoEnd Classification Project→

1L1 Decision Trees Intuition aur Structure→ 2L10 Module 4 Review aur Graded Quiz→ 3L2 Decision Trees Splitting Criteria→ 4L3 Decision Trees Pruning aur Overfitting→ 5L4 Ensemble Methods Bagging→ 6L5 Random Forest→ 7L6 Boosting AdaBoost aur Gradient Boosting→ 8L7 XGBoost→ 9L8 LightGBM aur CatBoost→ 10L9 Feature Importance aur Model Interpretation→

1L1 TrainTestValidation Split Strategy→ 2L10 Course Project Complete ML Pipeline→ 3L11 Module 5 Review aur Final Quiz→ 4L2 CrossValidation→ 5L3 Hyperparameter Tuning GridSearchCV→ 6L4 Hyperparameter Tuning RandomizedSearchCV→ 7L5 Pipeline EndtoEnd ML Workflow→ 8L6 Imbalanced Data Handling→ 9L7 Model Comparison aur Selection→ 10L8 Ensemble Stacking aur Voting→ 11L9 Model Saving aur Deployment Basics→

1L1 Unsupervised Learning kya hai→ 2L2 KMeans Clustering→ 3L3 Optimal K Choose karna→ 4L4 KMeans Limitations aur KMeans→ 5L5 Hierarchical Clustering→ 6L6 DBSCAN→ 7L7 Cluster Evaluation aur Advanced Methods→ 8L8 EndtoEnd Clustering Project→ 9L9 Module 1 Review aur Graded Quiz→

1L1 Curse of Dimensionality→ 2L2 Feature Selection Techniques→ 3L3 Principal Component Analysis PCA Theory→ 4L4 PCA Implementation→ 5L5 tSNE Visualization ke liye→ 6L6 UMAP aur Other Techniques→ 7L7 Dimensionality Reduction Applications→ 8L8 Module 2 Review aur Graded Quiz→

1L1 Anomaly Detection kya hai→ 2L2 Statistical Methods→ 3L3 Isolation Forest→ 4L4 Local Outlier Factor LOF→ 5L5 OneClass SVM aur Autoencoders→ 6L6 Evaluation Metrics for Anomaly Detection→ 7L7 RealWorld Applications Lab→ 8L8 Module 3 Review aur Graded Quiz→

1L1 Recommender Systems Introduction→ 2L2 UserBased Collaborative Filtering→ 3L3 ItemBased Collaborative Filtering→ 4L4 Matrix Factorization SVD→ 5L5 Implicit vs Explicit Feedback→ 6L6 Recommendation Evaluation Metrics→ 7L7 Scalability aur Practical Challenges→ 8L8 Collaborative Filtering Lab→ 9L9 Module 4 Review aur Graded Quiz→

1L1 ContentBased Filtering Concept→ 2L2 TextBased Feature Extraction→ 3L3 Structured FeatureBased Recommendations→ 4L4 Hybrid Recommendation Strategies→ 5L5 Cold Start Problem Deep Dive→ 6L6 RealWorld Recommendation Architectures→ 7L7 Deep Learning for Recommendations→ 8L8 EndtoEnd Recommendation Project→ 9L9 Module 5 Review aur Course Final→

1L1 Biological Neuron se Artificial Neuron→ 2L10 Module 1 Review aur Graded Quiz→ 3L2 Activation Functions→ 4L3 MultiLayer Neural Network Architecture→ 5L4 Forward Propagation→ 6L5 Loss Functions→ 7L6 Backpropagation Theory→ 8L7 Gradient Descent Variants→ 9L8 Weight Initialization→ 10L9 Neural Network from Scratch Lab→

1L1 TensorFlow Ecosystem Overview→ 2L10 Module 2 Review aur Graded Quiz→ 3L2 Keras Sequential API→ 4L3 Keras Functional API→ 5L4 Training Process Deep Dive→ 6L5 Callbacks→ 7L6 Model Saving Loading aur Export→ 8L7 TensorBoard Visualization→ 9L8 Data Pipeline tfdata→ 10L9 EndtoEnd Deep Learning Lab→

1L1 Computer Vision aur CNNs kyun→ 2L10 Module 3 Review aur Graded Quiz→ 3L2 Convolution Operation→ 4L3 Pooling Layers→ 5L4 CNN Architecture Design→ 6L5 Famous CNN Architectures→ 7L6 Transfer Learning→ 8L7 Data Augmentation→ 9L8 Object Detection aur Segmentation Overview→ 10L9 EndtoEnd CNN Project→

1L1 Sequence Data aur RNN Motivation→ 2L10 Module 4 Review aur Graded Quiz→ 3L2 Vanilla RNN Architecture→ 4L3 LSTM Long ShortTerm Memory→ 5L4 GRU Gated Recurrent Unit→ 6L5 Bidirectional RNNs→ 7L6 Text Preprocessing for RNNs→ 8L7 Time Series Forecasting with RNNs→ 9L8 SequencetoSequence Models→ 10L9 EndtoEnd RNN Project→

1L1 Dropout Regularization→ 2L10 Module 5 Review aur Course Final→ 3L2 Batch Normalization→ 4L3 Optimizers Deep Dive→ 5L4 Learning Rate Strategies→ 6L5 Hyperparameter Tuning for Deep Learning→ 7L6 GPU aur TPU Training→ 8L7 Model Interpretation aur Debugging→ 9L8 Model Deployment Overview→ 10L9 EndtoEnd Deep Learning Portfolio Project→

1L1 NLP kya hai Overview→ 2L2 Text Preprocessing Pipeline→ 3L3 Text Representations BoW aur TFIDF→ 4L4 Word Embeddings Word2Vec→ 5L5 Word Embeddings GloVe aur FastText→ 6L6 Text Classification Basics→ 7L7 Regular Expressions for NLP→ 8L8 spaCy NLP Pipeline→ 9L9 Module 1 Review aur Graded Quiz→

1L1 Sentiment Analysis Deep Dive→ 2L2 Feature Engineering for Text→ 3L3 Deep Learning for Sentiment Analysis→ 4L4 Named Entity Recognition NER→ 5L5 Topic Modeling LDA→ 6L6 Text Summarization Basics→ 7L7 Text Generation Basics→ 8L8 EndtoEnd Sentiment Analysis Project→ 9L9 Module 2 Review aur Graded Quiz→

1L1 Attention Mechanism Motivation→ 2L2 SelfAttention→ 3L3 MultiHead Attention→ 4L4 Positional Encoding→ 5L5 Transformer Architecture Encoder→ 6L6 Transformer Architecture Decoder→ 7L7 Transformer Training aur Inference→ 8L8 Transformer Implementation Lab→ 9L9 Module 3 Review aur Graded Quiz→

1L1 Pretraining aur Transfer Learning for NLP→ 2L2 BERT Architecture aur Pretraining→ 3L3 BERT Finetuning for NLP Tasks→ 4L4 BERT Variants aur Evolution→ 5L5 GPT Family→ 6L6 T5 aur Seq2Seq Models→ 7L7 Hugging Face Ecosystem Deep Dive→ 8L8 Finetuning Lab→ 9L9 Module 4 Review aur Graded Quiz→

1L1 Generative AI kya hai→ 2L10 Module 5 Review aur Course Final→ 3L2 Large Language Models LLMs Deep Dive→ 4L3 Prompt Engineering→ 5L4 RAG Retrieval Augmented Generation→ 6L5 AI Agents aur Tool Use→ 7L6 Multimodal AI→ 8L7 Responsible AI aur Ethics→ 9L8 LLM Deployment aur Optimization→ 10L9 Generative AI Portfolio Project→

1L1 AI Project Landscape→ 2L2 Problem Definition aur Framing→ 3L3 Data Feasibility Assessment→ 4L4 Project Planning→ 5L5 Capstone Project Proposal→ 6L6 Module 1 Review→

1L1 Data Collection Strategies→ 2L2 Exploratory Data Analysis EDA→ 3L3 Data Cleaning aur Preprocessing→ 4L4 Feature Engineering→ 5L5 Data Pipelines aur Versioning→ 6L6 Data Splitting aur Preparation→ 7L7 Module 2 Review→

1L1 Baseline Model→ 2L2 Algorithm Selection→ 3L3 Model Training Traditional ML→ 4L4 Model Training Deep Learning→ 5L5 Hyperparameter Tuning→ 6L6 Experiment Tracking→ 7L7 Model Selection aur Comparison→ 8L8 Module 3 Review→

1L1 Comprehensive Metrics Evaluation→ 2L2 Error Analysis→ 3L3 Fairness aur Bias Assessment→ 4L4 Model Explainability→ 5L5 Robustness Testing→ 6L6 Evaluation Report→ 7L7 Module 4 Review→

1L1 Model Serialization aur Packaging→ 2L2 REST API with Flask→ 3L3 REST API with FastAPI→ 4L4 Containerization with Docker→ 5L5 Cloud Deployment Overview→ 6L6 Monitoring aur Maintenance→ 7L7 Module 5 Review→

1L1 Project Documentation→ 2L2 Data Visualization for Communication→ 3L3 Presentation Skills→ 4L4 GitHub Portfolio→ 5L5 Career Preparation→ 6L6 Capstone Submission aur Review→ 7L7 Course Complete→