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Artificial Intelligence Online Training

This Artificial intelligence online training and certification program has been crafted by our leading team with Artificial intelligence and its related concepts. Artificial intelligence is a concept which is used to build smart machines. These machines would show human intelligence while performing tasks. Today many companies are adopting Artificial intelligence tools to minimize the human effort and intelligence to achieve accuracy and speed. This Artificial intelligence program will make you aware of all the concepts of AI and how to use Artificial intelligence in different fields. This Artificial intelligence training program will make you proficient and confident in building AI applications.

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Course Overview

Artificial Intelligence is a branch of computer science that deals with building machines or computers that use their intelligence and perform a task. This reduces the human effort and errors that may occur. Today many industries are adopting AI to improve their efficiency and reduce human effort. There are different types of Artificial intelligence which are being used and this training program will give in-depth knowledge of all these types. Artificial intelligence's future is very advanced. They would be like machine learning systems which are able to interact with humans and understand the requirements. This program will enrich with the best and latest advancement in the field of the AI.

Who should take this course?

This course suitable for all individuals who want to pursue a career in Artificial intelligence. This additionally benefits professionals in the field of programming and big data. And whoever is interested in the artificial intelligence certificate. We will provide you with a complete Artificial intelligence lesson plan.

Course curriculum
    • What is Data Science?
    • What is Machine Learning?
    • What is Deep Learning?
    • What is AI?
    • Data Analytics & it’s types
    • What is Python?
    • Why Python?
    • Installing Python
    • Python IDEs
    • Jupyter Notebook Overview
    • Python Basic Data types
    • Lists
    • Slicing
    • IF statements
    • Loops
    • Dictionaries
    • Tuples
    • Functions
    • Array
    • Selection by position & Labels
    • Pandas
    • Numpy
    • Sci-kit Learn
    • Mat-plot library
    • Selecting rows/observations
    • Rounding Number
    • Selecting columns/fields
    • Merging data
    • Data aggregation
    • Data munging techniques
    • Central Tendency
      • Mean
      • Median
      • Mode
      • Skewness
      • Normal Distribution
    •  Probability Basics
      • What does it mean by probability?
      • Types of Probability
      • ODDS Ratio?
    • Standard Deviation
      • Data deviation & distribution
      • Variance
    •  Bias variance Tradeoff
      • Underfitting
      • Overfitting
    • Distance metrics
      • Euclidean Distance
      • Manhattan Distance
    • Outlier analysis
      • What is an Outlier?
      • Inter Quartile Range
      • Box & whisker plot
      • Upper Whisker
      • Lower Whisker
      • Scatter plot
      • Cook’s Distance
    • Missing Value treatment
      • What is NA?
      • Central Imputation
      • KNN imputation
      • Dummification
    • Correlation
      • Pearson correlation
      • Positive & Negative correlation
    • Classification
      • Confusion Matrix
      • Precision
      • Recall
      • Specificity
      • F1 Score
    • Regression
      • MSE
      • RMSE
      • MAPE
  1. Supervised Learning 

    • Linear Regression
      • Linear Equation
      • Slope
      • Intercept
      • R square value
    • Logistic regression
      • ODDS ratio
      • Probability of success
      • Probability of failure Bias Variance Tradeoff
      • ROC curve
      • Bias Variance Tradeoff

    Unsupervised Learning

    • K-Means
    • K-Means ++
    • Hierarchical Clustering

    SVM (Duration-2hrs)

    • Support Vectors
    • Hyperplanes
    • 2-D Case
    • Linear Hyperplane

    SVM Kernel 

    • Linear
    • Radial
    • polynomial

    Other Machine Learning algorithms 

    • K – Nearest Neighbor
    • Naïve Bayes Classifier
    • Decision Tree – CART
    • Decision Tree – C50
    • Random Forest
  1. AI Introduction

    • Perceptron
    • Multi-Layer perceptron
    • Markov Decision Process
    • Logical Agent & First Order Logic
    • AL Applications
    • CNN – Convolutional Neural Network
    • RNN – Recurrent Neural Network
    • ANN – Artificial Neural Network

    Introduction to NLP 

    • Text Pre-processing
    • Noise Removal
    • Lexicon Normalization
    • Lemmatization
    • Stemming
    • Object Standardization

    Text to Features (Feature Engineering)

    • Syntactical Parsing
    • Dependency Grammar
    • Part of Speech Tagging
    • Entity Parsing
    • Named Entity Recognition
    • Topic Modelling
    • N-Grams
    • TF – IDF
    • Frequency / Density Features
    • Word Embedding’s

    Tasks of NLP

    • Text Classification
    • Text Matching
    • Levenshtein Distance
    • Phonetic Matching
    • Flexible String Matching
Market Overview
Top Hiring Company
Industry Trends
Artificial Intelligence Online Training FAQ’s:
1.What are the types of Artificial Intelligence?

There are three types of Artificial Intelligence.

  • Artificial narrow intelligence
  • Artificial general intelligence
  • Artificial superintelligence

2.What Is Artificial Intelligence Definition?

In simple terms Artificial Intelligence is a branch of computer science where it is used to build machines or robots which are capable of thinking like humans while performing tasks. This reduces human effort.

3.What is the Artificial Intelligence tools list?

Some of the best Artificial intelligence tools are

  • Microsoft Azure
  • Google Cloud
  • IBM Watson
  • Infosys Nia

4.How do I get Artificial intelligence certification?

We provide certification upon completing the course successfully. Our certification has standing in the market which will be an added advantage to you while hiring.

5.How Different Are Artificial Intelligence Vs Machine Learning?

Artificial intelligence is a concept where it helps in building smart machines which can think and behave like humans while performing tasks.

Machine learning is an application of AI where the machines learn from the data provided by the AI.

6.Is Artificial intelligence difficult to learn?

Not really, it would be easier for individuals with a programming background. And others would need to spend time to grasp the concepts used in A. I The more you work on this the easier it will get.

7.What is the average artificial intelligence salary?

The average Artificial intelligence engineer salary is $114k per year.

8.What is artificial intelligence in medicine?

Usage of Artificial intelligence in medicine has increased more than ever. It is changing the face of medical innovations. A. I used to think, analyze and interpret the complex healthcare data where it was done by human effort.

9.Do you provide any materials on artificial intelligence?

Yes, We provide Artificial intelligence books, Journals like the international journal on artificial intelligence tools.

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Cutting-edge curriculum with job-ready training methodologies aligned with industry requirements.

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Learn & Practice on real-world problems.

Practice on real-world scenarios and data sets with hands-on experience.

A classroom like learning experience

Ultimate learning experience. Engaging, interactive, and communicative.

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