Artificial Intelligence Online Course and Certification

Course Overview

Artificial Intelligence helps you improve the business and way the employees work. Learn AI online and enhance your understanding of with interesting trends, facts, and insights. In this AI course you will explore the relationship between AI and humans and the skills necessary to work with AI. Our expert trainers are always eager to solve your queries and help you identify your short comings by providing the best information followed in the industry.

Our live instructor led classes are designed to give you best learning environment with classes being much more interesting and engaging. Our AI tutorial covers all the aspect from basics to advance level. By the end of this course you will become a pro in implementing AI and use AI effectively.

Artificial Intelligence Certification Key Features

Fundamentals of Artificial Intelligence
Implementation of Artificial intelligence systems
Get Artificial intelligence certification
Provide you with important AI interview questions
Real-time base scenario projects for practice
Schedule your timings according to your convenience

What is Artificial Intelligence?

Top Hiring Company

Industry Trends

Course Circullum / Syllabus

Introduction to Computer Science

What is computer science?
What is machine learning?
What is deep learning?
What is artificial intelligence?
Analysis of data and data types.

Introduction to Python

What is Python?
Why Python?
How to install Python
Python IDE
Overview of the Jupyter notebook

Python Basics

Basic Python data types
What are lists in Python?
What is splitting?
Use of IF operators
What are cycles in Python?
What is a dictionary and how do we use it?
What is the double method?
What are functions in Python?
What is an array?
Selecting by tags and location

Python packages

What is pandas and where is it used?
What is Numpy in Python?
What is scikit learn in python?
What is the mat plot library?

Importing Data

Reading CSV files in Python
Writing data in Python
Loading objects in Python
Writing data to a CSV file

Data Manipulation

Selecting rows/observations
Rounding numbers
Selecting columns/fields
How to combine data
Combining data in Python
Techniques for aggregating data in Python

Fundamentals of Statistics

Central tendency
What is the mean?
What is the median?
What is a country?
What is the slope?
What is the normal distribution in Pythons?
Probability calculation in Python
What does the term probability mean?
Types of probabilities
ODDS ratios ?
Standard deviation
Variation and distribution of data
What are Outliers?
Agreement on the change
What is underperformance?
What is outperformance?
Distance measures
What is Euclidean distance and how is it calculated?
How is the Manhattan distance calculated?
What is a gap analysis?
What is an analysis of variance?
Interquartile range
Case Diagram
What is the upper bound and how is it determined?
What is the lower limit?
What is a scatter plot and how is it drawn?
What is the distance from Cook?
Treatment of missing values
What is NA?
What is a centralized function in Python?
What is the KNN imputation method?
How are dummy variables created?
Correlation
What is the Pearson correlation coefficient?
What are positive and negative correlations?

Error Measurement

What measures are used in classification problems?
What is a mixture matrix?
What is a precision measure?
What is recall and how is it calculated?
What is specificity?
What is the F1 measure and how is it calculated?
What is a regression measure and how is it measured?
What is MSE?
What is RMSE?
What is MAPE?

Machine Learning Guided learning

How does linear regression work?
How do you solve linear equations?
What is a gradient?
What is an interrupt in Python?
Calculating the value of an R-square
Logistic Regression
Explain what the ODDS ratio is.
Probability of success
Probability of failure exchange
How ROC curves are used.
Understand the interaction of variables and biases.
Unlimited learning
How are K-Means calculated?
What is K-Means++?
What is hierarchical clustering?
Concepts with Support Vectors
What are support vectors?
What are hypergraphs in SVMs?
What is a two-dimensional case?
Use of linear hyperplanes
SVM
How does the linear SVM work?
What is a radial kernel?
What is a polynomial kernel?
Other machine learning algorithms
K - nearest neighbor
Naive Bayes classifier
Decision Tree - CART
Decision Tree - C50
Random forest

SCIENTIFIC INTEGRATION Introduction to Artificial Intelligence

What is the perceptron learning algorithm?
What is a multilayer perceptron?
What is a Markov decision process?
What is a logical agent and first order logic?
Application of artificial intelligence

Deep Learning Algorithms

CNN - convolutional neural network
RNN - Recurrent Neural Network
ANN - Res

Artificial Intelligence Online Training FAQ’s:

1.What is Artificial Intelligence?

AI is branch of computer science that deals with simulation of human intelligence in machines that are programmed to think like humans. Some of the examples of AI applications are natural language processing, Speech recognition, and machine vision.

2.What is the AI technology used for?

AI is the ability of machine to display human capabilities such as learning, creativity, reasoning, and planning. AI allows the technical systems to perceive their environment and solve problems to achieve specific goal.

3.How do I get AI certification?

We would provide you with AI certificate upon the completion of the course successfully. Our certificate is recognized with many leading organizations. It will be a value add to your resume. And will help you gain credibility while hiring.

4.Can I attend the AI demo session?

Yes, you can attend our AI demo session to give you confidence upon taking our course.

5.What if I miss the class?

We would provide you with recording of the session, and also provide you with eLearning material for self-study.

6.Do you provide AI job assistance?

Yes, we provide you the job assistance required and also help you to prepare for interview.