Explore Experiment & Experience

Keeping the needs of the developer/student community, we have designed our training and internship programs. Needless to say, our approach is different from a regular training. The trainees/interns will be hitting the ground running from day one working on projects in artificial intelligence.

Artificial Intelligence Courses

AI Master Program

Data Science
Introduction to data science
Statistical Learning
Probability and Statistics
Population and Sampling
Random Variables
Probability Density Function
Probability Mass Function
Probability Cumulative Function
Binomial Distribution
Poisson Distribution
Normal Distribution
Z scores
Byes Theorem
Central Limit theorem
Hypothesis Testing
R- Programming
Introduction
Why use R?
Setting up the environment
Basic Operations in R
Data Types
Control Flow Statements
Built-in Functions
Implementation of pre -processing, data manipulation and Visualization in R
Data pre-processing
Data cleaning
Dealing with missing data
Dealing with outliers
Data Transformation
Centering and Scaling
Transformations to resolve skewness
Data reduction and Feature Extraction
Zero- and Near Zero-Variance Predictors
Identifying Highly Correlated Predictors
Principal Components Analysis (PCA)
Independent Component Analysis
Tableau
Introduction to Tableau
Connecting with R
Predictive Analysis
Python
Python Basics
DataTypes
Control Flow Statements
Functions
Classes
Python for Data science
Numpy
Pandas
Sklearn
Matplotlib
Python Web application
Django framework
Model View Template Architecture
Forms and Models
Pycharm
Machine Learning Concepts
Optimizers
Linear and Logistic Regression
K-means Clustering
Decision Trees
Support Vector Machine
Implementation of all ML models in Python

Deep Learning
Single Layer Perceptron
Back Propagation
Implementation of multilayer perceptron
Deep Learning Architecture
Convolution Neural Networks
Recurrent Neural Networks
Implementation of Computer Vision and Object Detection

Deep Learning Libraries
Tensor Flow
Keras

AWS Cloud Computing
Foundation on AWS cloud Computing
S3
EC2
EBS
IAM
Deployment of ML models
Project/Internship under guidance

Course Fee: Rs. 20,000 + GST
Duration:      3 months

Machine Learning and Python

Python
Python Basics
DataTypes
Control Flow Statements
Functions
Classes
Python for Data science
Numpy
Pandas
Sklearn
Matplotlib
Python Web application
Django framework
Model View Template Architecture
Forms and Models
Pycharm
Machine Learning Concepts
Principal Components Analysis (PCA)
Optimizers
Linear and Logistic Regression
K-means Clustering
Decision Trees
Support Vector Machine
Implementation of all ML models in Python

Deep Learning
Single Layer Perceptron
Back Propagation
Implementation of multilayer perceptron
Deep Learning Architecture
Convolution Neural Networks
Recurrent Neural Networks
Implementation of Computer Vision and Object Detection

Deep Learning Libraries
Tensor Flow
Keras

AWS Cloud Computing
Foundation on AWS cloud Computing
S3
EC2
EBS
IAM
Deployment of ML models
Project/Internship under guidance

Course Fee: Rs. 15,000 + GST
Duration:      2 months

Internship

This internship can help you gain valuable skills that can be applied to future jobs. You can read books on the subject and take tests for years, but applying what you’ve learned is a whole different game.You will be mentored by experienced professionals during the internship. The interns will get a firsthand experience and a glimpse of what software development job is like and gain valuable insights into what a career in that fields entails.

Course Fee: Rs. 8,000 + GST
Duration:      1.5 months

Certification
On Successful completion of Internship, candidates will be provided with internship / training completion certificate.

Salient Features of our Training Approach

-> Customized coaching for each trainee
-> Training focus on creating industry-ready professionals
-> Inter and intra personal skill development as needed
-> Creative and Comfortable Startup environment for work and learn
-> Online and offline Classroom Sessions

For training and internship queries, please call (+91) 8296508044, 9620540099 or mail us to edgeintell@gmail.com