Artificial Intelligence Training (AI)

You will learn Artificial Intelligence Training With main topics i.e Deep Learning, Machine Learning, Deep Learning & Ai Using Python, Deep Learning & Ai Using Python, Building Neural Networks Using Tensorflow.

  • Duration: 40-50 hours
  • Fast-track / Weekend batches
  • Instant Doubt Clarification
  • 10+ y Experienced Faculty
  • 100% Hands on Classes
  • Real time Scenarios
  • Free Bundle Videos
  • Sample CV/Resume
  • Interview Q&A
online training

Artificial Intelligence Training

You will complete this course within 40-50 hours.

we will provide for the students fast track & Weekend Batches at your flexible timings.

The course offers an excellent opportunity for students to dive into Python while solving AI problems and learning its applications.

  • Linear algebra (vectors, matrices, derivatives)
  • Calculus.
  • Basic probability theory.
  • Python programming.

Do the faculty have a real-time experience?
Yes, the faculty has more than 10+ years of experience in real-time.

How many batches does trainer complete for this course?
✓ Successfully trained more than 30 batches
✓ Trained more than 250 learners

Will the trainer concentrate on the practical sessions?
Absolutely, the trainer concentrates on 30% theoretical and 70% on practical.

Do the faculty clear all the doubts during the session?
Obviously, the faculty clears all the doubts during the session.

Artificial Intelligence (AI) has a long history but is still properly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI such as Data Science, Machine Learning, Deep Learning, Statistics, Artificial Neural Networks, Restricted Boltzmann Machine (RBM) and Tensorflow with Python. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination. This Artificial Intelligence course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is going to apply.

INTRODUCTION TO DATA SCIENCE DEEP LEARNING & ARTIFICIAL INTELLIGENCE

Introduction to Deep Learning & AI
Deep Learning: A revolution in Artificial Intelligence

  • Limitations of Machine Learning

What is Deep Learning?

  • Need for Data Scientists
  • Foundation of Data Science
  • What is Business Intelligence
  • What is Data Analysis
  • What is Data Mining

What is Machine Learning? Analytics vs. Data Science

  • Value Chain
  • Types of Analytics
  • Lifecycle Probability
  • Analytics Project Lifecycle
  • Advantage of Deep Learning over Machine learning
  • Reasons for Deep Learning
  • Real-Life use cases of Deep Learning
  • Review of Machine Learning

Data

  • Basis of Data Categorization
  • Types of Data
  • Data Collection Types
  • Forms of Data & Sources
  • Data Quality & Changes
  • Data Quality Issues
  • Data Quality Story
  • What is Data Architecture
  • Components of Data Architecture
  • OLTP vs. OLAP
  • How is Data Stored?

Big Data

  • What is Big Data?
  • 5 Vs of Big Data
  • Big Data Architecture
  • Big Data Technologies
  • Big Data Challenge
  • Big Data Requirements
  • Big Data Distributed Computing & Complexity
  • Hadoop
  • Map Reduce Framework
  • Hadoop Ecosystem

Data Science Deep Dive

  • What Data Science is
  • Why Data Scientists are in demand
  • What is a Data Product
  • The growing need for Data Science
  • Large Scale Analysis Cost vs Storage
  • Data Science Skills
  • Data Science Use Cases
  • Data Science Project Life Cycle & Stages
  • Data Acquisition
  • Where to source data
  • Techniques
  • Evaluating input data
  • Data formats
  • Data Quantity
  • Data Quality
  • Resolution Techniques
  • Data Transformation
  • File format Conversions
  • Annonymization

PYTHON

  • Python Overview
  • About Interpreted Languages
  • Advantages/Disadvantages of Python pydoc.
  • Starting Python
  • Interpreter PATH
  • Using the Interpreter
  • Running a Python Script
  • Using Variables
  • Keywords
  • Built-in Functions
  • Strings Different Literals
  • Math Operators and Expressions
  • Writing to the Screen
  • String Formatting
  • Command Line Parameters and Flow Control.
  • Lists
  • Tuples
  • Indexing and Slicing
  • Iterating through a Sequence
  • Functions for all Sequences

Operators and Keywords for Sequences

  • The xrange() function
  • List Comprehensions
  • Generator Expressions
  • Dictionaries and Sets

Numpy & Pandas

  • Learning NumPy
  • Introduction to Pandas
  • Creating Data Frames
  • Grouping Sorting
  • Plotting Data
  • Creating Functions
  • Slicing/Dicing Operations

Deep Dive – Functions & Classes & Oops

  • Functions
  • Function Parameters
  • Global Variables
  • Variable Scope and Returning Values. Sorting
  • Alternate Keys
  • Lambda Functions
  • Sorting Collections of Collections
  • Classes & OOPs

STATISTICS

  • What is Statistics
  • Descriptive Statistics
  • Central Tendency Measures
  • The Story of Average
  • Dispersion Measures
  • Data Distributions
  • Central Limit Theorem
  • What is Sampling
  • Why Sampling
  • Sampling Methods
  • Inferential Statistics
  • What is Hypothesis testing
  • Confidence Level
  • Degrees of freedom
  • what is pValue
  • Chi-Square test
  • What is ANOVA
  • Correlation vs Regression
  • Uses of Correlation & Regression

MACHINE LEARNING, DEEP LEARNING & AI USING PYTHON

Introduction

  • ML Fundamentals
  • ML Common Use Cases
  • Understanding Supervised and Unsupervised Learning Techniques

Clustering

  • Similarity Metrics
  • Distance Measure Types: Euclidean, Cosine Measures
  • Creating predictive models
  • Understanding K-Means Clustering
  • Understanding TF-IDF, Cosine Similarity and their application to Vector Space Model
  • Case study

Implementing Association rule mining

  • What is Association Rules & its use cases?
  • What is Recommendation Engine & it’s working?
  • Recommendation Use-case
  • Case study

Understanding Process flow of Supervised Learning Techniques Decision Tree Classifier

  • How to build Decision trees
  • What is Classification and its use cases?
  • What is Decision Tree?
  • Algorithm for Decision Tree Induction
  • Creating a Decision Tree
  • Confusion Matrix
  • Case stud

Random Forest Classifier

  • What is Random Forests
  • Features of Random Forest
  • Out of Box Error Estimate and Variable Importance
  • Case study

Naive Bayes Classifier

  • Case study

Project Discussion

Problem Statement and Analysis

  • Various approaches to solve a Data Science Problem
  • Pros and Cons of different approaches and algorithms.

Linear Regression

  • Case study
  • Introduction to Predictive Modeling
  • Linear Regression Overview
  • Simple Linear Regression
  • Multiple Linear Regression

Logistic Regression

  • Case study
  • Logistic Regression Overview
  • Data Partitioning
  • Univariate Analysis
  • Bivariate Analysis
  • Multicollinearity Analysis
  • Model Building
  • Model Validation
  • Model Performance Assessment AUC & ROC curves
  • Scorecard

Support Vector Machines

  • Case Study
  • Introduction to SVMs
  • SVM History
  • Vectors Overview
  • Decision Surfaces
  • Linear SVMs
  • The Kernel Trick
  • Non-Linear SVMs
  • The Kernel SVM

Time Series Analysis

  • Describe Time Series data
  • Format your Time Series data
  • List the different components of Time Series data
  • Discuss different kind of Time Series scenarios
  • Choose the model according to the Time series scenario
  • Implement the model for forecasting
  • Explain working and implementation of ARIMA model
  • Illustrate the working and implementation of different ETS models
  • Forecast the data using the respective model
  • What is Time Series data?
  • Time Series variables
  • Different components of Time Series data
  • Visualize the data to identify Time Series Components
  • Implement ARIMA model for forecasting
  • Exponential smoothing models
  • Identifying different time series scenario based on which different Exponential Smoothing model can be applied
  • Implement respective model for forecasting
  • Visualizing and formatting Time Series data
  • Plotting decomposed Time Series data plot
  • Applying ARIMA and ETS model for Time Series forecasting
  • Forecasting for given Time period
  • Case Study

Machine Learning Project

Machine learning algorithms Python

  • Various machine learning algorithms in Python
  • Apply machine learning algorithms in Python

Feature Selection and Pre-processing

  • How to select the right data
  • Which are the best features to use
  • Additional feature selection techniques
  • A feature selection case study
  • Preprocessing
  • Preprocessing Scaling Techniques
  • How to preprocess your data
  • How to scale your data
  • Feature Scaling Final Project

Which Algorithms perform best

  • Highly efficient machine learning algorithms
  • Bagging Decision Trees
  • The power of ensembles
  • Random Forest Ensemble technique
  • Boosting – Adaboost
  • Boosting ensemble stochastic gradient boosting
  • A final ensemble technique

Model selection cross validation score

  • Introduction Model Tuning
  • Parameter Tuning GridSearchCV
  • A second method to tune your algorithm
  • How to automate machine learning
  • Which ML algo should you choose
  • How to compare machine learning algorithms in practice

Text Mining& NLP

  • Sentimental Analysis
  • Case study

PySpark and MLLib

  • Introduction to Spark Core
  • Spark Architecture
  • Working with RDDs
  • Introduction to PySpark
  • Machine learning with PySpark – Mllib

DEEP LEARNING & AI USING PYTHON

Deep Learning & AI

  • Case Study
  • Deep Learning Overview
  • The Brain vs Neuron
  • Introduction to Deep Learning

Introduction to Artificial Neural Networks

  • The Detailed ANN
  • The Activation Functions
  • How do ANNs work & learn
  • Gradient Descent
  • Stochastic Gradient Descent
  • Backpropogation
  • Understand limitations of a Single Perceptron
  • Understand Neural Networks in Detail
  • Illustrate Multi-Layer Perceptron
  • Backpropagation – Learning Algorithm
  • Understand Backpropagation – Using Neural Network Example
  • MLP Digit-Classifier using TensorFlow
  • Building a multi-layered perceptron for classification
  • Why Deep Networks
  • Why Deep Networks give better accuracy?
  • Use-Case Implementation
  • Understand How Deep Network Works?
  • How Backpropagation Works?
  • Illustrate Forward pass, Backward pass
  • Different variants of Gradient Descent

Convolutional Neural Networks

  • Convolutional Operation
  • Relu Layers
  • What is Pooling vs Flattening
  • Full Connection
  • Softmax vs Cross Entropy
  • ” Building a real world convolutional neural network  for image classification”

What are RNNs – Introduction to RNNs

  • Recurrent neural networks rnn
  • LSTMs understanding LSTMs
  • long short term memory neural networks lstm in python

Restricted Boltzmann Machine (RBM) and Autoencoders

  • Restricted Boltzmann Machine
  • Applications of RBM
  • Introduction to Autoencoders
  • Autoencoders applications
  • Understanding Autoencoders
  • Building a Autoencoder model

Tensorflow with Python

  • Introducing Tensorflow
  • Introducing Tensorflow
  • Why Tensorflow?
  • What is tensorflow?
  • Tensorflow as an Interface
  • Tensorflow as an environment
  • Tensors
  • Computation Graph
  • Installing Tensorflow
  • Tensorflow training
  • Prepare Data
  • Tensor types
  • Loss and Optimization
  • Running ensorflow programs

Building Neural Networks Using

Tensorflow

  • Tensors
  • Tensorflow data types
  • CPU vs GPU vs TPU
  • Tensorflow methods
  • Introduction to Neural Networks
  • Neural Network Architecture
  • Linear Regression example revisited
  • The Neuron
  • Neural Network Layers
  • The MNIST Dataset
  • Coding NIST NN

Deep Learning using Tensorflow

  • Deepening the network
  • Images and Pixels
  • How humans recognise images
  • Convolutional Neural Networks
  • ConvNet Architecture
  • Overfitting and Regularization
  • Max Pooling and ReLU activations
  • Dropout
  • Strides and Zero Padding
  • Coding Deep ConvNets demo
  • Debugging Neural Networks
  • Visualising NN using Tensorflow
  • Tensorboard

Transfer Learning using

Keras and TFLearn

  • Transfer Learning Introduction
  • Google Inception Model
  • Retraining Google Inception with our own data demo
  • Predicting new images
  • Transfer Learning Summary
  • Extending Tensorflow
  • Keras
  • TFLearn
  • Keras vs TFLearn Comparison

What you will get!

The trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

  • Sure, We will share all classes High-quality Pre-Recording videos.
  • You get Free Access for Bundle of videos. It will help you learn the next version of this technology.

A virtual classroom is an online learning environment that allows Instructor and students to communicate, interact, collaborate, and share knowledge.

In the Self-Paced Online Course, Students can take the time they need and set their suitable schedule. Self-paced courses do not follow a set schedule. Course materials are entirely available as soon as the course begins.

Self-paced learning has several advantages that will enhance the performance of the students.

  • No time pressure
  • No need for a schedule
  • Improves memory
  • Suitable for different learning styles

Artificial Intelligence Course FAQ!

What if I miss a class?
We record each LIVE class session you undergo through and we will share the recordings of each session/class.,

If I cancel my enrollment, will I get the refund?
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
Is this a job guarantee program?
Institute doesn’t provide you any guarantee to get a job but as a guide as a mentor, as a friend, we will always provide you a good opportunity.

Do you help me to get a job?
We will definitely help you in attending interviews and it’s your caliber, hard-work, and ability.

After getting job can I expect support from you?
Even after getting a job when you stuck in any problem we will help but not for sure.

How long they give support after the course?
We are ready to help always, however it should fit in our course curriculum.

Do you Provide any real-time projects in CV Preparation?
In CV Preparation for real-time projects provide template documentation for the implementation project. You can access practice that in your idea system. If you have any difficulty, you can approach the trainer.

Will you provide any sample CV’S?
Yes, we will provide sample C.V’s for experience 2-3 years.

Can I expect your helping hand in C.V Preparation?
Definitely, we help you during C.V Preparation.

In what way you help me in interview preparation?
Yeah, Even after the completion of course, we will provide you some interview questions where you can concentrate on them.

What will they provide for references for interview preparation?
We provide excellent study materials and customizable course curriculum to students for superior quality training and we also provide videos recordings which support throughout your career.

Can I crack the interview with 3 year’s experience?
At the completion of this course, with hands-on training definitely give you confidence that you go in an interview with leaving 3 years of experience.

Is artificial intelligence a good career?
What is the salary of artificial intelligence?
how to become an artificial intelligence engineer
How can I start a career in artificial intelligence?
How much salary does a fresher in artificial Intelligence in India get?
How much salary package can you get with 3 years of artificial Intelligence experience?

What is the certification procedure?
Yes during the course, we will guide you and give you a clear picture about certification procedure.

Can i attempt certification after this course?
All the topics will be covered during the course. We provide question banks which will be helpful for you to attempt for certification.

Do you support me to pass certification?
Even after completion, of course, you can approach a trainer if you have any doubt regarding certification.

Do they provide the certification sample queries and references?
Surely, We provide the certification sample queries and references.

Does this certification benefit my career?
The certification has multiple impacts and encouraging factors in the recruitment of experts. Organizations claim that hiring certified professionals has served them with greater deployment and yield on investment. Check Cloud Career Building Up Force for New-age IT Professionals to understand the career benefits.

how to get a job in artificial intelligence

what is artificial intelligence?
what is the difference between artificial intelligence and machine learning
What is deep learning AI?
what are the benefits of artificial intelligence
what is artificial intelligence used for
how artificial intelligence will change everything
Why is python used for AI?
Which language is best for Artificial Intelligence?

Who can learn artificial intelligence?
how to learn artificial intelligence?
What are the subjects in artificial intelligence?
how to learn artificial intelligence quora
how to learn artificial intelligence and machine learning
Is learning artificial intelligence easy?
Can I learn machine learning without coding?
What is the best way to learn artificial intelligence for a beginner?

About Course

SVR Technologies offers a wide range of online courses you can master any course or software you wish to, right from the comfort of your home. Artificial Intelligence Training with TensorFlow is an industry-designed training for working with Convolutional Google TensorFlow, TensorFlow-Code, visualizing graphs, Neural Network (CNN), Perceptron in CNN, transfer learning, recurrent neural networks and more through hands-on projects.

SVR Technologies extends the comprehensive Deep Learning of Artificial Intelligence Training that will help you to work on the cutting-edge of AI. As part of the training, you will learn the various aspects of supervised and unsupervised learning, logistic regression with neural network mindset, artificial neural networks, binary classification, vectorization, Python for scripting machine learning applications.

What is Course

Today Artificial intelligence Training is taking over each and every industry domain. for Artificial Intelligence,  Machine Learning and especially Deep Learning are the most important aspects that are being deployed everywhere from search engines to online movie recommendations. Taking (machine learning trainingthe SVR Artificial Intelligence Training can help professionals to build a stable career in a rising technology domain and get the best jobs in top organizations.

Course Objectivies

After completion of the Artificial Intelligence Training course, what you’ll learn is:

  • Introduction to Artificial intelligence Training and intelligent agents, history of Artificial Intelligence
  • Building intelligent agents
  • Machine learning algorithms
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems through programming with Python
  • Introduction to AI and intelligent agents, history of Artificial intelligence Training.
  • Gain familiarity with basic approaches to problem-solving and inference and areas of application.
  • Statistical and decision-theoretic modeling paradigm (sas programming)
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems via programming with Python
  • Clustering, retrieval, recommender systems, Apply regression, classification, and deep learning of Artificial Intelligence.
  • Gain familiarity with techniques for improving human learning and influencing human thought

Who Should do This Course

  • Robotics Engineer
  • Data Scientist (artificial intelligence training)
  • Business Analysts
  • Hadoop Developers
  • Python for Data Science
  • College Graduates

Projects Included In The Course

Project 1: See how banks like ICICI, HDFC Citigroup, and Bank of America, make use of Artificial Intelligence to stay ahead of the competition (artificial intelligence training)

Domain: Banking

Description: A Portuguese banking institution ran a marketing battle to convince customers in potential to invest in a bank term deposit. Their marketing operations were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing battle.

Project 2: Determine how Stock Markets purchase on Artificial Intelligence and Machine Learning like NSE, BSE, NASDAQ to appear at a consumable data from complex datasets

Domain: Stock Market

Description: As a part of the project, you need to import data using Yahoo data reader of the following companies: Microsoft, Yahoo, Apple, Amazon, and Google. Perform analytics fundamental including daily operating return analysis, plotting closing price, plotting stock trade by volume, and using pair plot to show the correlation between all the stocks.

About Exam & Certification
Project 1: See how banks like ICICI, HDFC Citigroup, and Bank of America, make use of Artificial Intelligence to stay ahead of the competition.

Domain: Banking

Description: A Portuguese banking institution ran a marketing battle to convince customers in potential to invest in a bank term deposit. Their marketing operations were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing battle.

Project 2: Determine how Stock Markets purchase on Artificial Intelligence and Machine Learning like NSE, BSE, NASDAQ to appear at a consumable data from complex datasets artificial intelligence training

Domain: Stock Market

Description: As a part of the project, you need to import data using Yahoo data reader of the following companies: Microsoft, Yahoo, Apple, Amazon, and Google. Perform analytics fundamental including daily operating return analysis, plotting closing price, plotting stock trade by volume, and using pair plot to show the correlation between all the stocks.

Job Trends

The scope of Artificial Intelligence Training certified professionals are in the fields such as developing speech expert systems, game playing, robotics, recognizing machines, language detection machine, computer vision, and more. This industry (job) has just started to increase and the scope for professionals certified in this technology is very bright.

Salaries earned by Artificial Intelligence Professional are-

AI Professional – $ 95000 pa.

Senior AI Expert – $ 110000 pa.

AI Developer – $ 105000 pa.

This erudition related to salary trends of Artificial Intelligence Training experts cannot be same everywhere. Depending on location, it can vary up to some extent.

What is a live virtual classroom?
A virtual classroom is an online learning environment that allows Instructor and students to communicate, interact, collaborate, and share knowledge.

What are the benefits of online training?
Online training is a valuable and cost-effective way for Employees and Students. Online training courses are of two kinds – free and paid versions. Here are a few advantages of online training that showcase how it helps improve an employee’s professional life:

  • Convenience and flexibility
  • Comfortable learning environment
  • Career advancement
  • More choice of course topics
  • Improve your technical skills
  • Easy Accessibility
  • It speeds up career progression

Is online courses Good or bad?
Of course, It is good. One of the significant benefits of the online course is its much affordable cost of learning. Also, it saves a student’s energy & time.
What is online training for employees?
Live Virtual Classroom has several advantages. Online Training allows employees to learn at their own pace and a convenient time for them. In other words, they are suitable for self-paced Training also.

What if I miss a class?
We record each LIVE class session you undergo through and we will share the recordings of each session/class.,

If I cancel my enrollment, will I get the refund?
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
Is this a job guarantee program?
Institute doesn’t provide you any guarantee to get a job but as a guide as a mentor, as a friend, we will always provide you a good opportunity.

Do you help me to get a job?
We will definitely help you in attending interviews and it’s your caliber, hard-work, and ability.

After getting job can I expect support from you?
Even after getting a job when you stuck in any problem we will help but not for sure.

How long they give support after the course?
We are ready to help always, however it should fit in our course curriculum.

Do you Provide any real-time projects in CV Preparation?
In CV Preparation for real-time projects provide template documentation for the implementation project. You can access practice that in your idea system. If you have any difficulty, you can approach the trainer.

Will you provide any sample CV’S?
Yes, we will provide sample C.V’s for experience 2-3 years.

Can I expect your helping hand in C.V Preparation?
Definitely, we help you during C.V Preparation.

In what way you help me in interview preparation?
Yeah, Even after the completion of course, we will provide you some interview questions where you can concentrate on them.

What will they provide for references for interview preparation?
We provide excellent study materials and customizable course curriculum to students for superior quality training and we also provide videos recordings which support throughout your career.

Can I crack the interview with 3 year’s experience?
At the completion of this course, with hands-on training definitely give you confidence that you go in an interview with leaving 3 years of experience.

Is artificial intelligence a good career?
What is the salary of artificial intelligence?
how to become an artificial intelligence engineer
How can I start a career in artificial intelligence?
How much salary does a fresher in artificial Intelligence in India get?
How much salary package can you get with 3 years of artificial Intelligence experience?

What is the certification procedure?
Yes during the course, we will guide you and give you a clear picture about certification procedure.

Can i attempt certification after this course?
All the topics will be covered during the course. We provide question banks which will be helpful for you to attempt for certification.

Do you support me to pass certification?
Even after completion, of course, you can approach a trainer if you have any doubt regarding certification.

Do they provide the certification sample queries and references?
Surely, We provide the certification sample queries and references.

Does this certification benefit my career?
The certification has multiple impacts and encouraging factors in the recruitment of experts. Organizations claim that hiring certified professionals has served them with greater deployment and yield on investment. Check Cloud Career Building Up Force for New-age IT Professionals to understand the career benefits.

how to get a job in artificial intelligence

what is artificial intelligence?
what is the difference between artificial intelligence and machine learning
What is deep learning AI?
what are the benefits of artificial intelligence
what is artificial intelligence used for
how artificial intelligence will change everything
Why is python used for AI?
Which language is best for Artificial Intelligence?

Who can learn artificial intelligence?
how to learn artificial intelligence?
What are the subjects in artificial intelligence?
how to learn artificial intelligence quora
how to learn artificial intelligence and machine learning
Is learning artificial intelligence easy?
Can I learn machine learning without coding?
What is the best way to learn artificial intelligence for a beginner?

About Course

SVR Technologies offers a wide range of online courses you can master any course or software you wish to, right from the comfort of your home. Artificial Intelligence Training with TensorFlow is an industry-designed training for working with Convolutional Google TensorFlow, TensorFlow-Code, visualizing graphs, Neural Network (CNN), Perceptron in CNN, transfer learning, recurrent neural networks and more through hands-on projects.

SVR Technologies extends the comprehensive Deep Learning of Artificial Intelligence Training that will help you to work on the cutting-edge of AI. As part of the training, you will learn the various aspects of supervised and unsupervised learning, logistic regression with neural network mindset, artificial neural networks, binary classification, vectorization, Python for scripting machine learning applications.

What is Course

Today Artificial intelligence Training is taking over each and every industry domain. for Artificial Intelligence,  Machine Learning and especially Deep Learning are the most important aspects that are being deployed everywhere from search engines to online movie recommendations. Taking (machine learning trainingthe SVR Artificial Intelligence Training can help professionals to build a stable career in a rising technology domain and get the best jobs in top organizations.

Course Objectivies

After completion of the Artificial Intelligence Training course, what you’ll learn is:

  • Introduction to Artificial intelligence Training and intelligent agents, history of Artificial Intelligence
  • Building intelligent agents
  • Machine learning algorithms
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems through programming with Python
  • Introduction to AI and intelligent agents, history of Artificial intelligence Training.
  • Gain familiarity with basic approaches to problem-solving and inference and areas of application.
  • Statistical and decision-theoretic modeling paradigm (sas programming)
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems via programming with Python
  • Clustering, retrieval, recommender systems, Apply regression, classification, and deep learning of Artificial Intelligence.
  • Gain familiarity with techniques for improving human learning and influencing human thought

Who Should do This Course

  • Robotics Engineer
  • Data Scientist (artificial intelligence training)
  • Business Analysts
  • Hadoop Developers
  • Python for Data Science
  • College Graduates

Projects Included In The Course

Project 1: See how banks like ICICI, HDFC Citigroup, and Bank of America, make use of Artificial Intelligence to stay ahead of the competition (artificial intelligence training)

Domain: Banking

Description: A Portuguese banking institution ran a marketing battle to convince customers in potential to invest in a bank term deposit. Their marketing operations were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing battle.

Project 2: Determine how Stock Markets purchase on Artificial Intelligence and Machine Learning like NSE, BSE, NASDAQ to appear at a consumable data from complex datasets

Domain: Stock Market

Description: As a part of the project, you need to import data using Yahoo data reader of the following companies: Microsoft, Yahoo, Apple, Amazon, and Google. Perform analytics fundamental including daily operating return analysis, plotting closing price, plotting stock trade by volume, and using pair plot to show the correlation between all the stocks.

About Exam & Certification
Project 1: See how banks like ICICI, HDFC Citigroup, and Bank of America, make use of Artificial Intelligence to stay ahead of the competition.

Domain: Banking

Description: A Portuguese banking institution ran a marketing battle to convince customers in potential to invest in a bank term deposit. Their marketing operations were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing battle.

Project 2: Determine how Stock Markets purchase on Artificial Intelligence and Machine Learning like NSE, BSE, NASDAQ to appear at a consumable data from complex datasets artificial intelligence training

Domain: Stock Market

Description: As a part of the project, you need to import data using Yahoo data reader of the following companies: Microsoft, Yahoo, Apple, Amazon, and Google. Perform analytics fundamental including daily operating return analysis, plotting closing price, plotting stock trade by volume, and using pair plot to show the correlation between all the stocks.

Job Trends

The scope of Artificial Intelligence Training certified professionals are in the fields such as developing speech expert systems, game playing, robotics, recognizing machines, language detection machine, computer vision, and more. This industry (job) has just started to increase and the scope for professionals certified in this technology is very bright.

Salaries earned by Artificial Intelligence Professional are-

AI Professional – $ 95000 pa.

Senior AI Expert – $ 110000 pa.

AI Developer – $ 105000 pa.

This erudition related to salary trends of Artificial Intelligence Training experts cannot be same everywhere. Depending on location, it can vary up to some extent.

What is a live virtual classroom?
A virtual classroom is an online learning environment that allows Instructor and students to communicate, interact, collaborate, and share knowledge.

What are the benefits of online training?
Online training is a valuable and cost-effective way for Employees and Students. Online training courses are of two kinds – free and paid versions. Here are a few advantages of online training that showcase how it helps improve an employee’s professional life:

  • Convenience and flexibility
  • Comfortable learning environment
  • Career advancement
  • More choice of course topics
  • Improve your technical skills
  • Easy Accessibility
  • It speeds up career progression

Is online courses Good or bad?
Of course, It is good. One of the significant benefits of the online course is its much affordable cost of learning. Also, it saves a student’s energy & time.
What is online training for employees?
Live Virtual Classroom has several advantages. Online Training allows employees to learn at their own pace and a convenient time for them. In other words, they are suitable for self-paced Training also.

Instructor Led Training

Duration: 25+ hours
20000
  • Experienced Faculty
  • Real time Scenarios
  • Free Bundle Life time Access
  • 100% Hands-on Classes
  • Sample CV/Resume
  • Interview Q&A
  • Instructor Led Live Online Classes
  • Instant Doubt Clarification
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