Certified Artificial Intelligence

Python Programming

 An Introduction to Python

 Beginning Python Basics

 Python Program Flow 

 Functions& Modules 

 Exceptions Handling 

 File Handling 

 Classes in Python 

Statistical  Concepts 

 Descriptive           &

Inferential Statistics, 

Probability Concept: Marginal, Joint &

Conditional

      Probability,          Bayes

Theorem 

Probability Distributions, 

 Hypothesis Test

 Entropy &Information Gain, 

 Regression           &

Correlation, 

Confusion Matrix,

Bias & Variance 

Data Science and Analytics 

 An Introduction   to Data           Science          and

Analytics 

 Data Analysis Using NumPy 

 Data Analysis Using Pandas 

 Data Visualization – Pandas, Matplotlib, Seaborne, Plotly and

Cufflinks 

Machine Learning 

  Introduction   to Machine Learning 

 Linear Regression 

 Logistic Regression 

 K-Means Clustering 

 Decision Tree 

 Random Forest 

 K-Nearest Neighbours 

 Support     Vector

Machine 

 Naive Bayes 

 Principal Component Analysis(PCA)

 Artificial     Neural Networks(ANN)

Deep  Learning 

 Introduction to Deep Learning

 Artificial     Neural Network -ANN

 Loss Function

 Bias           &         Gradient

Descent

 Stochastic             Gradient Descent

 Convolution          Neural Networks -CNN

 Recurrent Neural Networks – RNNs

 Natural      Language Processing-NLP