Inspizone is an exclusive professional Training Provider specialising in Training and Human Capital Development, covering both management and technical skills.
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AI vs ML vs Deep Learning, Types of Machine Learning, ML Lifecycle, Business Applications, ML Workflow, Environment Setup (Anaconda, Jupyter Notebook, VS Code, Git), Introduction to Generative AI
Probability Basics, Data Distributions, Linear Algebra (Vectors & Matrices), Calculus Intuition, Mean, Variance, Bias-Variance Trade-off, Overfitting & Underfitting
NumPy, Pandas, Data Structures, Vectorization, Broadcasting, Data Cleaning, Missing Values, Feature Engineering, Encoding, Scaling, Train-Test Split, Data Leakage, Customer Data Preprocessing Pipeline
Statistical Analysis, Correlation, Outlier Detection, Feature Relationships, Matplotlib, Seaborn, Data Visualization, Business Insights, Sales Data Analysis Dashboard (EDA-focused)
Scikit-learn Workflow, Pipelines, Cross Validation, Feature Selection, Model Selection, Performance Metrics, Hyperparameter Tuning
Linear Regression, Logistic Regression, Decision Tree, Random Forest, KNN, SVM, Naïve Bayes, Ensemble Learning, Regression & Classification Metrics, House Price Prediction & Customer Churn Prediction
Clustering, K-Means, Hierarchical Clustering, DBSCAN, PCA, Dimensionality Reduction, Anomaly Detection Basics, Customer Segmentation System
MAE, MSE, RMSE, R², Precision, Recall, F1 Score, ROC-AUC, Confusion Matrix, SHAP, LIME, Feature Importance, Model Optimization
Neural Networks, Perceptron, Activation Functions, Forward & Backpropagation, TensorFlow, Keras, Sequential Models, CNN Basics, Handwritten Digit Recognition (MNIST)
LLM Fundamentals, Prompt Engineering, AI-assisted EDA, AI-assisted Feature Engineering, AI Code Generation, AI Debugging, AI Documentation, AI Research, AI Model Optimization, AI Report Writing
Model Serialization, Flask, FastAPI, Streamlit, Docker Basics, MLflow, Model Versioning, CI/CD Concepts, Monitoring, Data Drift & Concept Drift, Deploy ML Model as Web Application
Responsible AI Principles, Fairness, Bias Detection, Explainability, Privacy, Ethical AI, Model Security, Data Protection
Healthcare Analytics, Banking Analytics, Fraud Detection, Customer Churn, Sales Forecasting, Recommendation Systems, Marketing Analytics
End-to-End Machine Learning Solution covering Business Understanding, Data Collection, Data Preparation, EDA, Model Building, Evaluation, Deployment, AI Documentation & Presentation, End-to-End Production-Ready Machine Learning Project (Capstone)
Find clear answers to common questions about the Generative AI course, including coding requirements, practical learning, prompt engineering, AI tools, career applications, assignments, assessments, and the skills you can develop after completing the program.
Join 1,250+ learners and start your journey towards becoming an AI expert.