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Artificial Intelligence Training in Chennai

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Artificial Intelligence is the current most-happening thing in the world right now. Using Artificial Intelligence under its limits, ethically can lead to amazing productivity in workflow. So, in our Artificial Intelligence Training Institute in Chennai, you will learn about how to use A.I. ethically and within its limits, so go ahead and start learning the Artificial Intelligence Course in Chennai to become skilled in A.I. Our Artificial Intelligence Training with certification & placements will guide you all the way to your job placement as well.

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What this Course Includes?

  • Technology Training
  • Aptitude Training
  • Learn to Code (Codeathon)
  • Real Time Projects
  • Learn to Crack Interviews
  • Panel Mock Interview
  • Unlimited Interviews
  • Life Long Placement Support

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Breakdown of Artificial Intelligence Training in Chennai Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
December 2024
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
December 2024
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Syllabus for The Artificial Intelligence Training in Chennai

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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 Acuqisition
  • 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
  • StringsDifferent 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
  • GroupingSorting
  • 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
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
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 study
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
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 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
  • 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 tensorflow programs
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 MNIST NN
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
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

Objectives of Learning Artificial Intelligence Training in Chennai

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This training covers deep learning, machine learning, and data science using Python.

  • Understanding Deep Learning: Learn about deep learning and its impact on artificial intelligence.
  • Machine Learning Basics: Explore the differences between machine learning, analytics, and data science.
  • Data Science Fundamentals: Dive into data science, big data, and Python programming.
  • Python for Data Science: Master Python, NumPy, and Pandas for data analysis.
  • Statistical Analysis: Learn key statistical concepts for data analysis.
  • Machine Learning Algorithms: Explore popular algorithms like clustering, decision trees, and more.
  • Regression Analysis: Understand linear and logistic regression for predictive modeling.

Reason to choose SLA for Artificial Intelligence Training in Chennai

  • SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
  • Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
  • Instructor led Online and Offline Training. No recorded sessions.
  • Gain practical Technology Training through Real-Time Projects.
  • Best state of the art Infrastructure.
  • Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
  • In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
  • Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
  • Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
  • Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
  • Panel Mock Interviews
  • Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
  • Unlimited Interview opportunities until you get placed.
  • 1000+ hiring partners.
  • Enjoy Lifelong placement support at no cost.
  • SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
  • Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Want to Speak to a Trainer about Artificial Intelligence Training in Chennai?Request a Free Callback

Highlights of The Artificial Intelligence Training in Chennai

What is Artificial Intelligence?

Artificial intelligence (AI) refers to the capability of a computer or robot, controlled by a computer, to perform tasks that typically necessitate human intelligence and judgment.

What are the reasons for learning Artificial Intelligence?

There are several compelling reasons for learning Artificial Intelligence Training in Chennai:

  • Career Opportunities: AI skills are in high demand across industries, offering diverse job prospects.
  • Technological Advancement: AI drives cutting-edge innovations and transformative technologies.
  • Problem-Solving Power: AI enables solving complex challenges with intelligent and data-driven approaches.
  • Automation Efficiency: AI automates repetitive tasks, enhancing productivity and efficiency.
  • Data Insights: AI techniques provide valuable insights and predictions from vast data sets.
What are the prerequisites for learning Artificial Intelligence?

No prerequisites are necessary for learning our Artificial Intelligence Training in Chennai, but prior programming knowledge can help you grasp the course faster. A basic understanding of math and programming concepts, along with curiosity and eagerness to learn, are beneficial for studying AI.

Our Artificial Intelligence Course in Chennai is suitable for:

  • Students
  • Professionals seeking a career change
  • IT professionals aiming to enhance their skills
  • Enthusiastic programmers
  • Job Seekers
What are the course fees and duration?

The fees for our Artificial Intelligence in Chennai may differ depending on the chosen program level (basic, intermediate, or advanced) and the course format (online or in-person). On average, the Artificial Intelligence Course Fees in Chennai comes around 18,000 INR for a 1.5 Month duration, which includes international certification. For precise and up-to-date information regarding fees, duration, and certification, it is recommended to contact our Artificial Intelligence Training Institute in Chennai directly.

What are some job roles related to Artificial Intelligence?

Artificial Intelligence (AI) has become extremely important and widely used nowadays, providing a wide range of job opportunities across different industries. Here are some essential AI-related job roles:

  • AI Security Specialist
  • AI Software Developer
  • AI Infrastructure Engineer
  • Robotics Engineer
  • Machine Learning Engineer
  • AI Research Scientist
List a few Artificial Intelligence real-time applications.

AI is applied in real-time across various domains and industries. Here are some key areas where it is used:

  • Healthcare
  • Finance
  • Automotive
  • Retail and E-commerce
  • Manufacturing
  • Telecommunications
  • Social Media and Marketing
  • Security and Surveillance
  • Environmental Monitoring
What is the salary of an Artificial Intelligence Engineer?

According to Ambition Box, a fresher AI Engineer earns an average salary of ₹9.2 Lakhs per year. For mid-career AI Engineers with 4-9 years of experience, the average salary is ₹15.3 Lakhs per year. Experienced AI Engineers with 10-20 years of experience earn an average salary of ₹36.2 Lakhs per year.

Who are our Trainers for The Artificial Intelligence Training in Chennai?

Our Mentors are from Top Companies like:
  • Experienced and certified Artificial Intelligence Trainers with several years of experience in the industry.
  • They have extensive knowledge and possess hands-on experience in building and deploying AI solutions, models, algorithms and strategies on various domain.
  • They hold expertise in several AI technologies including Artificial Neural Networks, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision and Cognitive Computing.
  • They have proficiency in programming languages like Python, Java, C++, JavaScript, R.
  • They are experienced in using various AI tools and platforms such as Tensor Flow, Keras, Scikit-Learn, IBM Watson and others.
  • They skillfully able to teach process automation using automation tools and AI algorithms as a part of Artificial Intelligence Training in Chennai.
  • They are experienced in using several Big Data technologies such as Hadoop, MongoDB and Apache Spark. They have broad understanding of various AI applications such as Autonomous Driving, NLP, Image Processing and Object Recognition.
  • They are skilled in creating AI prototypes, developing data processing pipelines, performing hyper-parameter optimization for AI models and deploying AI models into production and hence train the students on the same by passing on the knowledge to them.
  • They have the ability to explain and demonstrate increasingly complex AI concepts to students and developers.
  • They passionately guides and mentors students to efficiently use AI tools and develop AI projects.
  • They are well versed in building strong and positive relationships with the students and is able to motivate them in complex tasks, assignments, resume making, and interview preparation.
Want to Speak to a Trainer about Artificial Intelligence Training in Chennai?Request a Free Callback

What Modes of Training are available for Artificial Intelligence Training in Chennai?

Offline / Classroom Training

A Personalized Learning Experience with Direct Trainer Engagement!
  • Direct Interaction with the Trainer
  • Clarify doubts then and there
  • Airconditioned Premium Classrooms and Lab with all amenities
  • Codeathon Practices
  • Direct Aptitude Training
  • Live Interview Skills Training
  • Direct Panel Mock Interviews
  • Campus Drives
  • 100% Placement Support
Explore Offline Courses

Online Training

Interactive Quiz Website
Instructor Led Live Training! Learn at the comfort of your home
  • No Recorded Sessions
  • Live Virtual Interaction with the Trainer
  • Clarify doubts then and there virtually
  • Live Virtual Interview Skills Training
  • Live Virtual Aptitude Training
  • Online Panel Mock Interviews
  • 100% Placement Support
Explore Online Courses

Corporate Training

Blended Delivery model (both Online and Offline as per Clients’ requirement)
  • Industry endorsed Skilled Faculties
  • Flexible Pricing Options
  • Customized Syllabus
  • 12X6 Assistance and Support
Explore Offline Courses
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Certifications

Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with an IBM Certification
Get an IBM certification through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.

Project Practices for The Artificial Intelligence Training in Chennai 

AI-powered Image Editing

Develop AI systems for image editing, automatically enhancing, object removal, and applying artistic filters based on user preferences.

AI-based Game Playing Agent

Develop an AI agent for game mastery, specializing in chess, Go, or Atari games.

Financial Market Analysis

Create AI models for financial market analysis, identifying patterns and making predictions/recommendations for investments.

AI-based Music Composition

Create AI models for music composition, generating new music, lyrics, and personalized playlists based on user preferences.

Autonomous Robot Navigation

Create an AI system for autonomous robot navigation, enabling obstacle avoidance and intelligent decision-making.

Chatbot Development

Create an AI-powered chatbot that can interact with users, answer questions, provide recommendations, or assist with customer support.

Virtual Personal Assistant

Create a Siri/Alexa-like virtual assistant for tasks such as reminders, scheduling, and information retrieval.

Machine Translation

Build an AI model for language translation, enabling multilingual communication and content localization.

Predictive Maintenance

Build an AI system for predictive maintenance using sensor data to optimize schedules and reduce downtime.

Learn Artificial Intelligence Training in Chennai with Real-time ProjectsRequest a Free Callback

The SLA way to Become
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Technology Training

Coding Practices
Realtime Projects

Placement Training

Aptitude Training
Interview Skills
CRM System Testing

Panel Mock
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Placement Support for a Artificial Intelligence Training in Chennai

Genuine Placements. No Backdoor Jobs at Softlogic Systems.

Free 100% Placement Support

Aptitude Training
from Day 1

CRM System Testing

Interview Skills
from Day 1

Softskills Training
from Day 1

Build Your Resume

Build your LinkedIn Profile

Build your GitHub
digital portfolio

Panel Mock Interview

Unlimited Interviews until you get placed

Life Long Placement Support at no cost

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FAQs for
The Artificial Intelligence Training in Chennai

What has made AI such a big deal recently?

1.

The goal of Artificial Intelligence (AI) is to give machines the ability to “think like humans” by simulating their cognitive processes. Although artificial intelligence (AI) will never be as smart as a human being, it already has many practical uses.

Many factors have converged to make the present an exciting period for significant AI progress.

  • Over the past 60 years, computing power has increased by a factor of a trillion, making it far more efficient than it was back then.
  • Data processing is becoming more cost-effective.
  • Businesses are collecting more signals from client encounters, which means there is more data to study.
  • The use of AI has already greatly enhanced consumer apps, raising hopes for further greater simplification and hence increasing demand for AI expertise and research.
How widespread is the use of artificial intelligence in our lives?

2.

Absolutely to a greater extent. The vast majority of people who have access to a computer, smartphone, or other smart device are already making use of AI’s practical benefits:

  • Personal voice-processing assistants like Siri and Cortana are available now.
  • Image recognition is highly recommended for use in Facebook photo tagging.
  • Amazon uses machine learning algorithms to provide product recommendations.
  • Waze uses a mix of predictive algorithms, forecasting, and optimisation approaches to recommend the best routes for drivers to take.
How Can I Benefit from Artificial Intelligence?

3.

The most basic kind of Artificial Intelligence will help with automating routine operations. Businesses may save a lot of time and money by using automation to handle data collecting, sorting, entering, and transformation. As it develops, it will be able to forecast your company’s future performance and tell you where you’re succeeding.

Do jobs in the field of Artificial Intelligence have a bright future?

4.

In spite of “millions” of job openings, only roughly 300,000 people are working in artificial intelligence (AI). Programming expertise in Python, R, Java, and C++ are particularly in demand due to the widespread adoption of AI.

The World Economic Forum predicts that 97 million new employment will be produced by 2025 as a direct result of AI innovations, and this trend is expected to continue into the foreseeable future.

What training modes does Softlogic offer for Artificial Intelligence Training?

5.

Softlogic offers a variety of training modes that cater to the needs of students, including:

  • Classroom training
  • One-to-One training
  • Live instructor-led online training
  • Customized training options
  • Corporate Training
What makes Softlogic Systems a good place to study?

6.

At Softlogic Systems, you will receive hands-on experience and rigorous training from industry professionals. The course content covers both introductory and advanced-level material.

Learning from AI training in Chennai, which combines excellence and innovation, will provide you with abilities and expertise that are unique and essential in both your personal and professional lives.

When compared to competitors in the software training market, our placement services are unparalleled.

After completing the course, will I be awarded a certification?

7.

After successfully completing the Artificial Training in Chennai, you will, indeed, be awarded a certificate of completion for your efforts. Our certification is an IBM-accredited one, which gives more credence to your CV and helps you stand out more prominently throughout the interview process.

How does Softlogics Placement team support us

8.

The placement support offered by Softlogic increases your chances of getting the job of your dreams. Certified students who are interested in making a career change or entering the workforce for the first time will have access to comprehensive assistance through our placement assistance. Softlogic will provide the following premium services as part of our placement assistance:

  • Resume building
  • Career Guidance and Advising
  • Interview practise sessions
  • Career Expos
Which organisations are actively looking to hire employees with expertise in AI?

9.

Professionals that are skilled in artificial intelligence are in high demand across a wide range of organizations, including those of Google, Microsoft, Deloitte Accenture, IBM, Capgemini, Amazon, Apple, and many more MNCs.

What is the compensation package for AI professionals?

10.

As there is a rising demand for AI specialists but a shortage of people with the necessary abilities, businesses are prepared to pay greater wages for trained AI professionals. The following table displays, according to Payscale, the annual salary that an AI engineer earns on average in key nations:

  • India – INR 982K
  • Canada – C$ 85,000
  • Australia – $110,000
  • The US – $110K
  • The UK – £60,000

Additional Information for
The Artificial Intelligence Training in Chennai

Our Artificial Intelligence Training in Chennai has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates.. Our Artificial Intelligence course syllabus will teach you topics that no other institute will teach. Enroll in our Artificial Intelligence training to explore some innovative Top project ideas for the Artificial Intelligence.

1.

How is the AI market scenario in Chennai?

Several professionals are not aware of the importance of AI and hence don’t have expertise on it. This is the reason it is an in-demand skill nowadays. Moreover, Artificial Intelligence technologies are evolving and centers including Softlogic in Chennai will surely accommodate these trends.

The Artificial Intelligence Training in Chennai is an industry-relevant yet academically-strong program. This will help you to grab the amazing opportunities in AI in Chennai.

2.

Softlogic’s Distinct Training Method for AI

AI is a vast field and there are various branches to it. In order to gain comprehensive knowledge of it, we have divided the course as machine learning and AI. Though Machine Learning is a part of AI, we have dedicated a separate course for it. Therefore, the student can select any one or both.

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