AI

1Artificial Intelligence ko Define Karna▸ 2AI vs Machine Learning vs Deep Learning▸ 3AI ki Chhoti si History Turing se Modern Era▸ 4Aaj ka AI Landscape▸ 5AI ke Common Misconceptions▸ 6Key Terminology Samjhna▸ 7Module 1 Review aur Practice Quiz▸ 8T Final Module Assessment▸ 9T1 Mid Module Quiz▸

1Narrow AI ANI Todays AI▸ 2General AI AGI aur Super AI ASI▸ 3AI in Healthcare▸ 4AI in Finance aur Business▸ 5AI in Transportation aur Daily Life▸ 6Computer Vision aur NLP Key AI Domains▸ 7Robotics aur Recommendation Systems▸ 8Module 2 Review aur Practice Quiz▸ 9T Final Module Assessment▸ 10T1 Mid Module Quiz▸

1Algorithms Models aur Training Data▸ 2Supervised Learning Overview▸ 3Unsupervised Learning Overview▸ 4Reinforcement Learning Overview▸ 5Neural Networks Basics Overview▸ 6AI Development Lifecycle▸ 7AI Tools aur Platforms Overview▸ 8Module 3 Review aur Practice Quiz▸ 9T Final Module Assessment▸ 10T1 Mid Module Quiz▸

1AI me Bias aur Fairness▸ 2Privacy aur Data Protection▸ 3Transparency aur Explainability▸ 4Responsible AI Frameworks aur Governance▸ 5AI ka Social Impact Jobs aur Society▸ 6AI ka Future Opportunities aur Challenges▸ 7Course WrapUp aur Final Assessment▸ 8T Final Module Assessment▸ 9T1 Mid Module Quiz▸

1Python AIML ke liye Kyun▸ 2Python Refresher Data Types aur Variables▸ 3Control Flow Conditions aur Loops▸ 4Functions aur Lambda Expressions▸ 5File Handling aur Data Formats▸ 6Jupyter Environments Setup▸ 7Python Best Practices for AIML▸ 8Module 1 Review aur Practice Quiz▸ 9T Final Module Assessment▸ 10T1 Mid Module Quiz▸

1NumPy ka Introduction aur Setup▸ 2Array Creation aur Properties▸ 3Array Indexing aur Slicing▸ 4Vectorized Operations aur Broadcasting▸ 5Array Reshaping aur Manipulation▸ 6Linear Algebra Operations▸ 7Random Number Generation▸ 8Module 2 Review aur Practice Quiz▸ 9T Final Module Assessment▸ 10T1 Mid Module Quiz▸

1pandas ka Introduction Series aur DataFrames▸ 2Data Loading CSV Excel aur More▸ 3Data Selection aur Filtering▸ 4Data Transformation Apply Map Replace▸ 5Grouping aur Aggregation▸ 6Merging aur Joining DataFrames▸ 7Missing Data Handle Karna▸ 8Module 3 Review aur Practice Quiz▸ 9T Final Module Assessment▸ 10T1 Mid Module Quiz▸

1Matplotlib Basics Figure Axes Plots▸ 2Advanced Matplotlib Subplots aur Customization▸ 3Seaborn Statistical Visualization▸ 4Correlation aur Relationship Visualizations▸ 5ML ke liye Visualization Best Practices▸ 6Charts Customize aur Annotate Karna▸ 7Module 4 Review aur Practice Quiz▸ 8T Final Module Assessment▸ 9T1 Mid Module Quiz▸

1Data Preprocessing kyun Critical Hai▸ 2Feature Scaling Normalization▸ 3Feature Scaling Standardization▸ 4Categorical Variables Encode Karna▸ 5TrainTest Split▸ 6scikitlearn Pipelines▸ 7Outlier Detection aur Handling▸ 8Course WrapUp aur Final Assessment▸ 9T Final Module Assessment▸ 10T1 Mid Module Quiz▸

1Supervised Learning kya hai Deep Dive▸ 2Features Labels aur Datasets▸ 3Supervised Learning Workflow▸ 4BiasVariance Tradeoff▸ 5Overfitting aur Underfitting▸ 6scikitlearn ka API Pattern▸ 7Module 1 Review aur Practice Quiz▸ 8T Final Module Assessment▸ 9T1 Mid Module Quiz▸

1Simple Linear Regression▸ 2Module 2 Review aur Graded Quiz▸ 3Multiple Linear Regression▸ 4Polynomial Regression▸ 5Gradient Descent▸ 6Regularization Ridge Regression L2▸ 7Regularization Lasso Regression L1▸ 8ElasticNet aur Regularization Summary▸ 9Regression Evaluation Metrics▸ 10EndtoEnd Regression Project▸ 11T Final Module Assessment▸ 12T1 Mid Module Quiz▸

1Classification kya hai Overview▸ 2Module 3 Review aur Graded Quiz▸ 3Logistic Regression▸ 4KNearest Neighbors KNN▸ 5Support Vector Machines SVM▸ 6SVM Kernel Trick▸ 7Naive Bayes▸ 8Classification Metrics Part 1▸ 9Classification Metrics Part 2 ROCAUC▸ 10EndtoEnd Classification Project▸ 11T Final Module Assessment▸ 12T1 Mid Module Quiz▸

1Decision Trees Intuition aur Structure▸ 2Module 4 Review aur Graded Quiz▸ 3Decision Trees Splitting Criteria▸ 4Decision Trees Pruning aur Overfitting▸ 5Ensemble Methods Bagging▸ 6Random Forest▸ 7Boosting AdaBoost aur Gradient Boosting▸ 8XGBoost▸ 9LightGBM aur CatBoost▸ 10Feature Importance aur Model Interpretation▸ 11T Final Module Assessment▸ 12T1 Mid Module Quiz▸

1TrainTestValidation Split Strategy▸ 2Course Project Complete ML Pipeline▸ 3Module 5 Review aur Final Quiz▸ 4CrossValidation▸ 5Hyperparameter Tuning GridSearchCV▸ 6Hyperparameter Tuning RandomizedSearchCV▸ 7Pipeline EndtoEnd ML Workflow▸ 8Imbalanced Data Handling▸ 9Model Comparison aur Selection▸ 10Ensemble Stacking aur Voting▸ 11Model Saving aur Deployment Basics▸ 12T Final Module Assessment▸ 13T1 Mid Module Quiz▸

1Unsupervised Learning kya hai▸ 2KMeans Clustering▸ 3Optimal K Choose karna▸ 4KMeans Limitations aur KMeans▸ 5Hierarchical Clustering▸ 6DBSCAN▸ 7Cluster Evaluation aur Advanced Methods▸ 8EndtoEnd Clustering Project▸ 9Module 1 Review aur Graded Quiz▸ 10T Final Module Assessment▸ 11T1 Mid Module Quiz▸

1Curse of Dimensionality▸ 2Feature Selection Techniques▸ 3Principal Component Analysis PCA Theory▸ 4PCA Implementation▸ 5tSNE Visualization ke liye▸ 6UMAP aur Other Techniques▸ 7Dimensionality Reduction Applications▸ 8Module 2 Review aur Graded Quiz▸ 9T Final Module Assessment▸ 10T1 Mid Module Quiz▸

1Anomaly Detection kya hai▸ 2Statistical Methods▸ 3Isolation Forest▸ 4Local Outlier Factor LOF▸ 5OneClass SVM aur Autoencoders▸ 6Evaluation Metrics for Anomaly Detection▸ 7RealWorld Applications Lab▸ 8Module 3 Review aur Graded Quiz▸ 9T Final Module Assessment▸ 10T1 Mid Module Quiz▸

1Recommender Systems Introduction▸ 2UserBased Collaborative Filtering▸ 3ItemBased Collaborative Filtering▸ 4Matrix Factorization SVD▸ 5Implicit vs Explicit Feedback▸ 6Recommendation Evaluation Metrics▸ 7Scalability aur Practical Challenges▸ 8Collaborative Filtering Lab▸ 9Module 4 Review aur Graded Quiz▸ 10T Final Module Assessment▸ 11T1 Mid Module Quiz▸

1ContentBased Filtering Concept▸ 2TextBased Feature Extraction▸ 3Structured FeatureBased Recommendations▸ 4Hybrid Recommendation Strategies▸ 5Cold Start Problem Deep Dive▸ 6RealWorld Recommendation Architectures▸ 7Deep Learning for Recommendations▸ 8EndtoEnd Recommendation Project▸ 9Module 5 Review aur Course Final▸ 10T Final Module Assessment▸ 11T1 Mid Module Quiz▸

1Biological Neuron se Artificial Neuron▸ 2Module 1 Review aur Graded Quiz▸ 3Activation Functions▸ 4MultiLayer Neural Network Architecture▸ 5Forward Propagation▸ 6Loss Functions▸ 7Backpropagation Theory▸ 8Gradient Descent Variants▸ 9Weight Initialization▸ 10Neural Network from Scratch Lab▸ 11T Final Module Assessment▸ 12T1 Mid Module Quiz▸

1TensorFlow Ecosystem Overview▸ 2Module 2 Review aur Graded Quiz▸ 3Keras Sequential API▸ 4Keras Functional API▸ 5Training Process Deep Dive▸ 6Callbacks▸ 7Model Saving Loading aur Export▸ 8TensorBoard Visualization▸ 9Data Pipeline tfdata▸ 10EndtoEnd Deep Learning Lab▸ 11T Final Module Assessment▸ 12T1 Mid Module Quiz▸

1Computer Vision aur CNNs kyun▸ 2Module 3 Review aur Graded Quiz▸ 3Convolution Operation▸ 4Pooling Layers▸ 5CNN Architecture Design▸ 6Famous CNN Architectures▸ 7Transfer Learning▸ 8Data Augmentation▸ 9Object Detection aur Segmentation Overview▸ 10EndtoEnd CNN Project▸ 11T Final Module Assessment▸ 12T1 Mid Module Quiz▸

1Sequence Data aur RNN Motivation▸ 2Module 4 Review aur Graded Quiz▸ 3Vanilla RNN Architecture▸ 4LSTM Long ShortTerm Memory▸ 5GRU Gated Recurrent Unit▸ 6Bidirectional RNNs▸ 7Text Preprocessing for RNNs▸ 8Time Series Forecasting with RNNs▸ 9SequencetoSequence Models▸ 10EndtoEnd RNN Project▸ 11T Final Module Assessment▸ 12T1 Mid Module Quiz▸

1Dropout Regularization▸ 2Module 5 Review aur Course Final▸ 3Batch Normalization▸ 4Optimizers Deep Dive▸ 5Learning Rate Strategies▸ 6Hyperparameter Tuning for Deep Learning▸ 7GPU aur TPU Training▸ 8Model Interpretation aur Debugging▸ 9Model Deployment Overview▸ 10EndtoEnd Deep Learning Portfolio Project▸ 11T Final Module Assessment▸ 12T1 Mid Module Quiz▸

1NLP kya hai Overview▸ 2Text Preprocessing Pipeline▸ 3Text Representations BoW aur TFIDF▸ 4Word Embeddings Word2Vec▸ 5Word Embeddings GloVe aur FastText▸ 6Text Classification Basics▸ 7Regular Expressions for NLP▸ 8spaCy NLP Pipeline▸ 9Module 1 Review aur Graded Quiz▸ 10T Final Module Assessment▸ 11T1 Mid Module Quiz▸

1Sentiment Analysis Deep Dive▸ 2Feature Engineering for Text▸ 3Deep Learning for Sentiment Analysis▸ 4Named Entity Recognition NER▸ 5Topic Modeling LDA▸ 6Text Summarization Basics▸ 7Text Generation Basics▸ 8EndtoEnd Sentiment Analysis Project▸ 9Module 2 Review aur Graded Quiz▸ 10T Final Module Assessment▸ 11T1 Mid Module Quiz▸

1Attention Mechanism Motivation▸ 2SelfAttention▸ 3MultiHead Attention▸ 4Positional Encoding▸ 5Transformer Architecture Encoder▸ 6Transformer Architecture Decoder▸ 7Transformer Training aur Inference▸ 8Transformer Implementation Lab▸ 9Module 3 Review aur Graded Quiz▸ 10T Final Module Assessment▸ 11T1 Mid Module Quiz▸

1Pretraining aur Transfer Learning for NLP▸ 2BERT Architecture aur Pretraining▸ 3BERT Finetuning for NLP Tasks▸ 4BERT Variants aur Evolution▸ 5GPT Family▸ 6T5 aur Seq2Seq Models▸ 7Hugging Face Ecosystem Deep Dive▸ 8Finetuning Lab▸ 9Module 4 Review aur Graded Quiz▸ 10T Final Module Assessment▸ 11T1 Mid Module Quiz▸

1Generative AI kya hai▸ 2Module 5 Review aur Course Final▸ 3Large Language Models LLMs Deep Dive▸ 4Prompt Engineering▸ 5RAG Retrieval Augmented Generation▸ 6AI Agents aur Tool Use▸ 7Multimodal AI▸ 8Responsible AI aur Ethics▸ 9LLM Deployment aur Optimization▸ 10Generative AI Portfolio Project▸ 11T Final Module Assessment▸ 12T1 Mid Module Quiz▸

1AI Project Landscape▸ 2Problem Definition aur Framing▸ 3Data Feasibility Assessment▸ 4Project Planning▸ 5Capstone Project Proposal▸ 6Module 1 Review▸ 7T Final Module Assessment▸ 8T1 Mid Module Quiz▸

1Data Collection Strategies▸ 2Exploratory Data Analysis EDA▸ 3Data Cleaning aur Preprocessing▸ 4Feature Engineering▸ 5Data Pipelines aur Versioning▸ 6Data Splitting aur Preparation▸ 7Module 2 Review▸ 8T Final Module Assessment▸ 9T1 Mid Module Quiz▸

1Baseline Model▸ 2Algorithm Selection▸ 3Model Training Traditional ML▸ 4Model Training Deep Learning▸ 5Hyperparameter Tuning▸ 6Experiment Tracking▸ 7Model Selection aur Comparison▸ 8Module 3 Review▸ 9T Final Module Assessment▸ 10T1 Mid Module Quiz▸

1Comprehensive Metrics Evaluation▸ 2Error Analysis▸ 3Fairness aur Bias Assessment▸ 4Model Explainability▸ 5Robustness Testing▸ 6Evaluation Report▸ 7Module 4 Review▸ 8T Final Module Assessment▸ 9T1 Mid Module Quiz▸

1Model Serialization aur Packaging▸ 2REST API with Flask▸ 3REST API with FastAPI▸ 4Containerization with Docker▸ 5Cloud Deployment Overview▸ 6Monitoring aur Maintenance▸ 7Module 5 Review▸ 8T Final Module Assessment▸ 9T1 Mid Module Quiz▸

1Project Documentation▸ 2Data Visualization for Communication▸ 3Presentation Skills▸ 4GitHub Portfolio▸ 5Career Preparation▸ 6Capstone Submission aur Review▸ 7Course Complete ▸ 8T Final Module Assessment▸ 9T1 Mid Module Quiz▸