Artificial Intelligence Course in Chennai

Our Artificial Intelligence Course content designed from very basic to advanced level, so that you can learn the Artificial Intelligence from scratch. Artificial Intelligence Training course in Chennai helps you to afford a strong foundation in this domain field. Well, Certified Artificial Intelligence Trainer provides you with the best quality of the training who is having 10+ years of experience in the latest industry. We will certify to make you an expert in Artificial Intelligence.CREDO SYSTEMZ providing Best Artificial Intelligence Training in Chennai with Free Placement Assistance.

About Artificial Intelligence Course in Chennai

John McCarthy, an American computer scientist, in 1956 at The Dartmouth Conference who coined the term " Artificial Intelligence". AI is the simulation of human intellectual processes by devices. mainly computer systems. Using specialized Technologies computers are able to achieve intelligent tasks, that process is known as Artificial Intelligence. Here we listed the few activities of computers with AI are designed for include:
  1. Speech recognition
  2. Learning
  3. Planning
  4. Problem-solving
Our Credosystemz provides Artificial Intelligences Training Courses in Chennai for both freshers and professionals who are looking for AI Training. Well Certified Trainer is available and also provide real-time project with live sessions to the candidates. Hence, our training institute is more eminent for this AI Training in Chennai.

Call Us at +91 9884412301 / +91 9600112302 to get spot admission offers for your AI Course Fees in Chennai.
Artificial Intelligence (AI) is the advanced technology or development in Computer Science which is more powerful because it can arbitrarily automate responsibilities that demand human-level intelligence or beyond. It develops the quality of our living style and also acts as a smart human. It performs tasks as much as faster than human and also has critical thinking and creativity. So, Artificial Intelligence has become a shining in our future world.
Reduces the various risk in several types of work and scientific investigations. The most important use of AI in medical science if we are able to make it then all the incurable diseases can be treated easily like tumor detection. AI will help a lot in tedious and difficult tasks for humans such as self-driving cars, face recognition, web search, industrial robots, etc,...  Then It can translate the data from GPS satellites to your car’s map display. Some of the advantages are shown below,
  • Smart work and time efficiency
  • Power smarter machinery and vehicles
  • Enhance Productivity and improve efficiency
  • Advance automated interplays with clients, partners and operators
  • Develop an analysis of video and audio in real-time
Artificial intelligence (AI) is a part of computer science that highlights the creation of intelligent machines that work and react like humans. Some of the actions computers with artificial intelligence are planned for include: Speech recognition.
AI techniques is a prepared way and method to use the knowledge resulting such that it can be simply adapted to correct errors, or useful in several conditions. AI techniques are models complete from advanced forms of a statistical and mathematical model.
Research in AI has concentrated primarily on the following components of intelligence:
  • Learning. Learning is well-known into a number of different forms.
  • Reasoning
  • Problem-solving
  • Perception.
  • Language-understanding.
Components of AI
Some subsections of AI include machine learning, big data, and natural language processing (NLP) however, this object covers the four main types of artificial intelligence:
  • Reactive machines
  • Limited memory
  • Theory of mind
  • Self-awareness.
Here are the top skills that are most commonly used for creating AI projects:
  • Machine learning.
  • Python.
  • Java.
  • Data Science
  • R.

Key Features

Training from
Industrial Experts

24 x 7
Expert Support

Hands on
Practicals/ Projects

Certification
of Completion

100% Placement
Assistance

Free
Live Demo

AI TRAINING COURSE CONTENT

Learning outcomes of our Artificial Intelligence course

  • You can gain knowledge in Artificial Intelligence's functions and its components in the current trending technologies.
  • Understanding the complete Principles, Models and Algorithms of AI.
  • Analyze the AI's algorithms and the concept of advanced Artificial Intelligence.
  • You can build the designs in intelligent systems like Mobile Robotics, Computer games, etc,...
  • Become expertise in all the domains like NLP, knowledge representation, ML and Automated Reasoning.
  • Get knowledge of the AI Robotics and its logic.
  • Moreover understanding the Dynamic Bayesian Networks for a Professional level.
  • You can learn about important search concepts such as informed and uninformed search.
  • Well known about the logical proof, planning and constraints satisfaction in AI.
  • Finally, you will have the ability to apply AI Techniques for problem-solving and also to become a well-trained expert in AI.

Highlights of Artificial Intelligence Training by Credo Systemz:

  • Here, Artificial Intelligence Tool provided to the trainee during the training.
  • Provided Real-Time case studies approach.
  • Industrial Instructors with rich experience Artificial Intelligence implementation.
  • Hands-on Practical assignments by Top Experts
  • Artificial Intelligence implementation walk-through using Artificial Intelligence Tool to gain Real-time experience.
  • During the Training Period, Artificial Intelligence Training Material and resources with Process and Object examples.
  • Guidance for Artificial Intelligence Developer Certification
    • We Owe YOU Knowledge, 100% REFUND if YOU are NOT Satisfied. If YOU get satisfied then grace yourself to be one of the finest AI experts in the industry.
    Become an Artificial Intelligence Expert by enrolling for The Best Artificial Intelligence Course Conducted by Credo Systemz in Chennai.

Course Features

  • Duration60 hours
  • Skill levelAll level
  • Batch Strength15
  • AssessmentsYes
  • Mock InterviewsYes
  • Resume BuildingYes
  • PlacementsYes
  • Flexible TimingYes
  • Fee InstallmentsYes
  • LanguageTamil/English
CHAPTER 1: INTRODUCTION TO AI
  • What is Artificial Intelligence
  • Types of AI
  • Perceptron
  • Multi-Layer Perception
  • Markov Decision Process
  • Logical Agent & First Order Logic
  • AL Applications
CHAPTER 2: ARTIFICIAL INTELLIGENCE FUNDAMENTALS
  • Application of AI
  • History of AI
  • Machine Learning
  • Fuzzy Logic
  • Expert Systems
  • Computer Vision
CHAPTER 3: REINFORCEMENT LEARNING AND Q-LEARNING INTUITION
  • Q-Learning Introduction
  • Reinforcement Learning Concepts
  • Marcov Decision Process
  • Adding a “Living Penalty”
  • Temporal Difference
  • Q-Learning Visualization
CHAPTER 4: DEEP Q-LEARNING INTUITION
  • Plan of Attack
  • Deep Q-Learning Intuition – Learning
  • Experience Replay
  • Action Selection Policies
CHAPTER 5: CREATING ENVIRONMENT
  • Installation of environment for Self Driving Car
  • Building AI
  • Playing with AI
  • Challenge Solutions
CHAPTER 6: DEEP CONVENTIONAL Q-LEARNING INTUITION
  • Plan of Attack
  • Deep Conventional Q-Learning Intuition
  • Eligibility Trace
CHAPTER 7: ARTIFICIAL INTELLIGENCE AND THEIR TECHNOLOGIES
  • Human Factors and Evaluation
  • Information Retrieval & Visualisation
  • Language & Learning Technology
  • Vision / Image Processing
CHAPTER 8: ROBOTICS AND ARTIFICIAL INTELLIGENCE
  • Introduction
  • Difference between Robotics & AI
  • Natural Languages Processing (NLP)
  • Task of NLP
    • Text Classification
    • Text Matching
    • Phonetic Matching
    • Flexible string Matching
  • Natural Language Interfaces
  • Active Computer Vision
CHAPTER 9: PERFORMANCE METRICS
  • Introduction
  • Key Methods for Performance Metrics
  • Confusion Matrix Example
  • Terms of Confusion Matrix
  • Accuracy
  • Recall / Sensitivity
CHAPTER 10: NEURAL NETWORKS
  • Introduction – Error, Cost & Loss Functions
  • Challenges in Gradient
  • Gradient Descent
  • Techniques to overcome challenges of Mini Batch
  • Convolution Layer and Max-Pooling
  • Hands-on use cases using RNN, LSTM and GRU

You will be going through detailed 2 to 3 months of Artificial Intelligence Training Hands-on training

  • Detailed instructor led sessions to help you become a proficient Expert in Artificial Intelligence Training.
  • Build a Artificial Intelligence Training professional portfolio by working on hands on assignments and projects.
  • Personalised mentorship from professionals working in leading companies.
  • Lifetime access to downloadable Artificial Intelligence Training course materials, interview questions and project resources.
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Credo Systemz - Velachery, Chennai
Call Us +91 9884412301

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Credo Systemz - OMR, Chennai
Call Us +91 9600112302

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Real-time Projects of Artificial Intelligence Training in Chennai

Credo Systemz Live Artificial Intelligence projects are planned based on the industry-related problems and simulate the working experience of AI fields.

Project 1: PyTorch

Project image
PyTorch stands an open-source machine learning library for a python based on Torch. This tool is used for machine learning applications, such as natural language processing.

Highlights of the Project

  • It has two high-level features: Tensor computation, i.e., NumPy with strong GPU acceleration, and deep neural networks which are built on a tape-based auto diff system.
  • PyTorch uses automatic differentiation technique.
  • The hybrid front-end of this tool provides flexibility and speed.
  • The details description of this tool is here- PyTorch.

Project 2: A Machine Learning Gladiator

Project image
It is very much informal machine learning and an Artificial intelligence project idea if you are a beginner. This project will benefit you to increase your knowledge about the workflow of model building. By evolving this project, you can exercise on how to import data, how to clean data, pre-processing and transformation, cross-validation, and feature engineering.

Highlights of this project

  • You must have to knowledge about regression, classification, and clustering algorithms.
  • You canister find the dataset from the UCI Machine Learning Repository or kaggle.
  • You canister develop this project using both languages, i.e., python and R.
  • By evolving this project, you will learn about the prototyping models quickly.

Project 3: TensorFlow

Project image
Ensure you need to improve your machine learning skills? To improve your knowledge, you may practice with this versatile artificial intelligence and machine learning software and framework. TensorFlow is one of the best and general machines learning open source projects. Essentially, It is a part of the Google Brain team in Google’s Machine Intelligence Research organization.

Highlights of the Project

  • This is an open-source software library.
  • It is used for numerical computation using data flow graphs.
  • Fast and flexible for an extensive range of applications.
  • It has an easy to use python interface.
  • Additionally, it includes APIs for Java.

Project 4: Keras

Project image
Keras is unique to the best open-source machine learning projects. This tool has some protuberant features like easy extensible, user-friendliness and also you can work in python.

Highlights of the Project

  • This is high-level neural networks API which is written in python.
  • This open-source instrument permits easy and fast prototyping with its prominent features.
  • This tool is compatible with: Python 2.7-3.6.
  • This platform supports both convolution networks and recurrent networks, moreover the combinations of these two networks.

Our Best Artificial Intelligence Course Program Schedule

Artificial Intelligence program schedule - Credo Systemz

Top MNC Artificial Intelligence Interview Questions

  1. What is Artificial Intelligence?
  2. What is an artificial intelligence Neural Networks?
  3. What are the various areas where AI (Artificial Intelligence) can be used?
  4. What is Prolog in AI?
  5. Which is not commonly used programming language for AI?
  6. Give an explanation on the difference between strong AI and weak AI?
  7. Mention the difference between statistical AI and Classical AI ?Give an explanation on the difference between strong AI and weak AI?
  8. What is alternate, artificial, compound and natural key?
  9. Which is the best way to go for Game playing problem?
  10. A* algorithm is based on which search method?
  11. What is agent in artificial intelligence?
  12. What is Neural Network in Artificial Intelligence?
  13. What is a heuristic function?
  14. What are frames and scripts in “Artificial Intelligence”?
  15. Which search algorithm will use a limited amount of memory in online search?
  16. In ‘Artificial Intelligence’ where you can use the Bayes rule?
  1. What is the difference between Strong Artificial Intelligence and Weak Artificial Intelligence?
  2. What is Artificial Intelligence?
  3. List some applications of AI.
  4. List the programming languages used in AI?
  5. What is an expert system? What are the characteristics of an expert system?
  6. List the advantages of an expert system.
  7. What is an A* algorithm search method?
  8. What is a breadth-first search algorithm?
  9. What is a uniform cost search algorithm?
  10. How are game theory and AI-related?
  11. List the different algorithm techniques in Machine Learning.
  12. What is Deep Learning?
  13. Name a few Machine Learning algorithms you know.
  14. What is Naive Bayes?
  15. What is perceptron in Machine Learning?
  1. What is a hash table?
  2. What is regularization in Machine Learning?
  3. What do you mean by the TensorFlow cluster?
  4. What are the different types of AI?
  5. Explain the different domains of Artificial Intelligence.
  6. How is Machine Learning related to Artificial Intelligence?
  7. What are the different types of Machine Learning?
  8. What is Q-Learning?
  9. What is Deep Learning?
  10. Explain how Deep Learning works.
  11. What is Prolog in AI?
  12. Mention the difference between statistical AI and Classical AI?
  13. What are alternate, artificial, compound and natural keys?
  14. Which is the best way to go for the Game playing problem?
  1. What is Artificial Intelligence?
  2. What is artificial intelligence Neural Networks?
  3. What are the various areas where AI (Artificial Intelligence) can be used?
  4. Which algorithm inverts a complete resolution strategy?
  5. What is Hidden Markov Model (HMMs) is used?
  6. Which is the most straight forward approach for planning algorithms?
  7. What Is Automatic Programming?
  8. What Is a Bayesian Network, and How Does It Relate to AI?
  9. What Is Supervised Versus Unsupervised Learning?
  10. What Are The Branches Of Ai?
  11. What Are Good Programming Languages For Ai?
  12. What Is The Difference Between Classical Ai And Statistical Ai?
  13. What Are Partial, Alternate, Artificial, Compound, And Natural Key?
  14. What Is An Artificial Intelligence Neural Networks?
  15. What Is Agent In Artificial Intelligence?
  1. What Are the Common Uses and Applications of AI?
  2. What Are Intelligent Agents, and How Are They Used in AI?
  3. What Is Tensorflow, and What Is It Used For?
  4. What Is Machine Learning, and How Does It Relate to AI?
  5. What Are Neural Networks, and How Do They Relate to AI?
  6. What Is Deep Learning, and How Does It Relate to AI?
  7. Why Is Image Recognition a Key Function of AI?
  8. What Is Automatic Programming?
  9. What Is a Bayesian Network, and How Does It Relate to AI?
  10. What Is Constraint Satisfaction Problems?
  11. What Are Frames And Scripts In “Artificial Intelligence”?
  12. What’s the difference between strong AI and weak AI?
  13. What’s the difference between AI and ML?
  1. What is artificial intelligence?
  2. What are intelligent agents?
  3. What’s the most popular programming language used in AI?
  4. What are AI neural networks?
  5. What’s the difference between strong AI and weak AI?
  6. What’s the difference between AI and ML?
  7. What are some examples of AI in use?
  8. What’s a Turing test?
  9. What’s TensorFlow?
  10. Why is game theory important to AI?
  11. In your opinion, how will AI impact application development?
  12. What would you say are common misconceptions about AI?
  1. How will you explain machine learning to a layperson?
  2. What is Breath-First Search Algorithm?
  3. What is the difference between inductive machine learning and deductive machine learning?
  4. When will you use classification over regression?
  5. What is the Depth-First Search Algorithm?
  6. How Game theory and AI-related?
  7. What is model accuracy and model performance?
  8. What is a hash table?
  9. What is Tensorflow?
  10. List the different Algorithm techniques in Machine Learning
  11. What is regularization in Machine learning?
  12. What is the importance of gradient checking?
  13. List the extraction techniques used for dimensionality reduction.
  14. Differentiate parametric and non-parametric models
    1. What is AI?
    2. What is the difference between Artificial Intelligence, Machine Learning, and Deep Learning?
    3. What are the Different Types of AI?
    4. Name some popular programming languages in AI.
    5. List some AI Applications and Common uses.
    6. Mention Some Popular Domains of AI.
    7. What is the difference between Weak AI and Strong AI?
    8. What is an expert system? What are its characteristics?
    9. What are the Advantages of an Expert System?
    10. What is an Artificial Neural Network? Name some of the commonly used ones.
    11. What is the Turing test?
    12. What is an A* Algorithm search method?
    13. What is a breadth-first search algorithm?
    14. What is a Depth-first Search Algorithm?
    1. Describe Classical AI & Weak AI?
    2. How A* algorithm works with the search method?
    3. What is Heuristic Function & How are Neural Networks working in AI?
    4. How the Strong AI & Statistical AI works?
    5. How to resolve a problem with the Game Playing Problem Methodology?
    6. Simple Explanation about Alternate, Artificial, Compound and Natural Key?
    7. How AI performs against Frames and Scripts?
    8. What are the different NLP tasks deep learning can be applied to?
    9. What is the main difference between AI and ML?
    10. What is the main focus area of artificial intelligence?
    11. How Branches are located in AI?
    12. How Relational Knowledge used in AI?
    13. Describe the methodology of Inheritable Knowledge in AI?
    14. How NLP works against AI?
    1. How NLP works against AI?
    2. Describe Supervised and Unsupervised Learning?
    3. In Which Scenario AI Accomplished?
    4. How the Semantic Analysis used in AI?
    5. What is supervised machine learning?
    6. What are the algorithms used in AI?
    7. How KNN was different from k-means clustering?
    8. What Deep Learning was exactly?
    9. Do you have research experience in machine learning?
    10. What was deep learning, & how does it contrast with other machine learning algorithms?
    11. Definition of AI Single Agent Pathfinding Problems?
    12. What is the p-value?
    1. What Is Ai?
    2. What are common uses and/or applications for AI?
    3. What Are Good Programming Languages For Ai?
    4. What Is Relational Knowledge?
    5. What Are Frames And Scripts In “Artificial Intelligence”?
    6. What is Tensorflow?
    7. When will you use classification over regression?
    8. Which is the similar operation performed by the drop-out in neural network?
    9. How KNN was different from k-means clustering?
    10. What are the several flavors?
    11. Explain the Goal of Artificial Intelligence?
    12. Explain types of Artificial Intelligence?
    13. What Are The Techniques To Represent Knowledge?
    14. What is supervised machine learning?
    15. What is meant by Uniform Cost Search Algorithm?
    1. What is an AI technique?
    2. What is the future of Artificial intelligence?
    3. What Is The Difference Between Strong Ai And Weak Ai?
    4. What Is Inheritable Knowledge?
    5. How Game theory and AI-related?
    6. What is the Breadth-First Search Algorithm?
    7. What Are The Techniques To Represent Knowledge?
    8. What Is Relational Knowledge?
    9. What Is Artificial Intelligence?
    10. Which Is Not Commonly Used Programming Language For Ai
    11. What Is Agent In Artificial Intelligence?
    12. What Is Neural Network In Artificial Intelligence?
    13. What Is A Heuristic Function?
    14. What Are Frames And Scripts In “Artificial Intelligence”?
    15. In Artificial Intelligence, What Do Semantic Analysis Used For?
    1. What Is Ai?
    2. What Is An Agent?
    3. What Has Ai Accomplished?
    4. What Are The Branches Of Ai?
    5. What Are Good Programming Languages For Ai?
    6. What Is The Difference Between Classical Ai And Statistical Ai?
    7. What Are Partial, Alternate, Artificial, Compound, And Natural Key?
    8. Where Can I Find Conference Information?
    9. What Is Relational Knowledge?
    10. What Is Inheritable Knowledge?
    11. What Is An Artificial Intelligence Neural Networks?
    12. What Is Alternate, Artificial, Compound, And Natural Key?
    13. Why is image recognition a key function of AI?
    14. What is deep learning and how does it relate to AI?
    15. What is automatic programming?
    1. What is Artificial Intelligence?
    2. Why is artificial intelligence is so popular?
    3. What are the different types of AI?
    4. Explain the different domains of Artificial Intelligence
    5. How is Machine Learning related to Artificial Intelligence?
    6. What are the different types of Machine Learning?
    7. Explain how Deep Learning works.
    8. Explain the commonly used Artificial Neural Networks.
    9. Explain the assessment that is used to test the intelligence of a machine.
    10. What are the various areas where AI can be used?
    11. What is Prolog in AI?
    12. A* algorithm is based on which search method?
    13. What is an agent in artificial intelligence?
    14. What is “Generality” in AI?
    Get Answer for all the above questions and place in your dream company

    Artificial Intelligence Interview Questions and Answers

    AI Interview Questions and Answers – (1-100)

    Upcoming Batch Details

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    Can’t find a batch you were looking for?

    FAQ

    Deep learning usages a convinced set of machine learning algorithms that run in multiple layers.
    NLP is a way for computers to evaluate, understand and derive meaning from human language in a smart and useful way.
    AI mutual with robotization and automation enables increased efficiency, production flexibility, as well as completely new products, services, and business models. AI allows Finnish companies to add essentials to their products and services that provide customers with greater further value.
    Artificial intelligence has been communicated for a long time but, right now, it is emerging as a key accelerator of the digital transition because:
    • Digitalization has given increase to very large data sets and the amount of data continues to grow at an accelerating rate,
    • The rapid development of computing capacity and decreasing prices enable the processing of large data sets by an increasing number of users, and
    • New algorithms are incessantly being developed for data utilization.
    Definitely! You can attend your missed topics with any batches. Not only missed, if you are not clear with any topics as well you can attend the same topics with some other batch.
    Our motto is sharing highly standard Data Science knowledge to our candidates and making them as a successful Data Scientist.
    Their induction of AI has opened doors for Multitudes of job opportunities. What we lack is the resources to fulfill the need. Insufficient jobs directly related to the field of AI include:
    • Data Scientist
    • Research Scientist
    • Machine Learning Experts
    • Deep Learning Experts
    • Software Engineers
    Seeing such a huge growth in the field of AI, almost all companies are now blooming to rank one in the underlying field. However, the major ones include:
    • Google
    • Amazon
    • Microsoft
    • Facebook
    • IBM
    • Apple
    Our Artificial Intelligence instructor having 15+ years of experience in the IT industry. They are currently working as AI in top MNCs.
    Credo Systemz is one of the Best Artificial Intelligence Training Institute in Chennai Velachery and OMR. We are following a unique AI program structure with the below features,
    • 90+ hours of live interactive sessions.
    • 30+ real-time use cases.
    • Sessions handled by Industry Experts.
    • Unique course content.
    • Well, structured Course Materials.
    • 10+ real-time projects.
    • Flexible batch timings.
    • End to end placement assistance.
    • Options to discuss with our Alumni and get knowledge from them.
    • Lifetime support with any technical bits of help.
    • Installment payment options.

    Artificial Intelligence Course in Chennai with Placement

    Credo Systemz Artificial Intelligence training will also suit the candidates who are looking for a career change or job opportunity as an AI developer.
    Also, it helps you to learn Artificial Intelligence easily be an expert in handling AI and get your dream job.
    • More than 1000+ students Trained
    • 100% Placement Assistance.
    • 10+ Real-time Projects.
    • Resume Preparation.
    • Mock Interviews.
    • 100+ Interviews Organized.

    Our Artificial Intelligence Trainer Profile

    Our Artificial Intelligence instructor having 10+ years of experience in the IT industry. They are currently working as AI in top MNCs.
    • More than 10 Years of experience in Artificial Intelligence Knowledge.
    • Has functioned on multiple real-time Artificial Intelligence projects.
    • Employed in a top MNC company in Chennai.
    • Trained 1000+ Students so far.
    • Strong Academic & Practical Knowledge.
    • We have trainers that are specialists and they are certified.

    Artificial Intelligence Certification Training in Chennai

    • Credo Systemz Professional Training is pleased to offer the Professional Certificate Program in Machine Learning & Artificial Intelligence.
    • Credo Systemz has played a leading role in the rise of AI and the new category of jobs it is creating crossways the world economy.
    • Our goal is to ensure businesses and individuals have the exercise and training essential to succeed in the AI-powered future.
    • Credo Systemz Artificial intelligence Training certificate monitors members through the latest growths and technical approaches in artificial intelligence technologies such as natural language processing, predictive analytics, deep learning, and algorithmic methods to add your knowledge of this ever-developing industry.
    • At the end of the course, we will provide you a course completion certificate which is accepted by almost all the companies.
    • Also, we help our candidates to do the official certifications since we are an authorized Pearson VUE certification exam center.
    • Before enrolling in an Artificial intelligence course, Here you can gain some knowledge about AI which will make your career successful.Happy Learning!!

    Artificial Intelligence course Objectives

    • Interactive Classrooms, Artificial Intelligence training, Fast-track and hands-on practical sessions are available.
    • Updated artificial intelligence course materials, gain knowledge about the latest trending technical skills.
    • Live instructor LED training method with well experienced experts.
    • Be a master after completing the Artificial training at Credo Systemz from professionals.
    • Affordable fees structure and Flexible Timing.
    • One-time enrollment and life time accessibility.
    • Round the clock supports on WhatsApp & Alumni Groups to provide you end to end support.
    • Frequently ask Artificial intelligence questions will be provided at the end of the session to crack the interview easily.
    • Separate WhatsApp group will be created for your batch to keep you updated with latest job opportunities and to clarify your doubts anytime.
    • Artificial intelligence assignments & assessments will be given to you at regular intervals and will be monitored by Trainer to check everyone's progress.

    Top Factors which makes us the best AI Training Institute in Chennai

    • Well, Credo Systemz offers Artificial Intelligence Training in Chennai Velachery & OMR on both Weekends and Weekdays at flexible Timings.
    • Most importantly, the instructor has more than 10+ experience in the IT industry, as a result, you can learn the latest Topics.
    • We ranked as Artificial Intelligence Training course in Chennai, Velachery according to reviews over the internet.
    • Credo Systemz is the Best place to Learn Artificial Intelligence course in Chennai, Since you will learn by real-time live scenarios.
    • Also, we will guide you to complete the Artificial Intelligence certification Training in Chennai.
    • Best AI Training in Chennai with Real-Time Projects rather than theory Oriented
    • Furthermore, Hands-on sessions with real-time projects in the Artificial Intelligence certification course in Chennai
    • Ranked the Artificial Intelligence Training in Chennai Velachery and OMR as much as all positive Reviews
    • Mocks test after completion of your Artificial intelligence course helping in interviews.
    • Interactive practical oriented Best Artificial Intelligence course in Chennai since from the first class
    • Artificial Intelligence Corporate training program for employees, In addition, we conducted many Artificial Intelligence Workshops
    • Therefore, Credo Systemz is the Best Artificial Intelligence training institutes in Chennai. Online Artificial Intelligence training and certification are also available
    • Further, Our Artificial Intelligence Course syllabus is standard and worth Artificial Intelligence course fees in Chennai.
    • In addition, We providing Artificial Intelligence course in Chennai with placement. Finally, you got the Artificial Intelligence Training Institute.

    Related Trainings

    Job opportunities in Artificial Intelligence Training:

    Massive job starts are available aimed at Artificial Intelligence. Even in Highest MNCs, they build their current projects in Artificial Intelligence. Become Best Artificial Intelligence Training in Chennai from Credo Systemz and Make your entry in the IT industry with the latest technology.
    Credo Systemz also helps you with your placement. We have tied-up with our client companies and every time they have recruitment, our clients conduct walk-in drives or we will send our candidate's CV to them.

    Top Companies Hiring Artificial Intelligence Engineers:

    Below exists the list of the highest companies by their range of normal salaries existing in India:
    • Amazon.
    • Accenture.
    • Bosch Group.
    • Adobe.
    • JPMorgan Chase & Co.
    • FIS Global Business Solutions India Private Limited.
    • Capgemini.
    • Wipro.

    Artificial Intelligence Job Roles & Salary Packages in India

    According to the Artificial Intelligence salary survey below is the detailed report for AI jobs.
    • Principal Data Scientist.
    • Computer Scientist.
    • ML Engineer.
    • Data Engineer.
    • Data Scientist.
    • Research Engineer.
    • Algorithm Engineer.
    • Data Analyst.
    • Computer Vision Engineer.
    AI Salary Details
    Nearby Access Areas
    Our Velachery and OMR branches are very nearby access to the below locations.
    Medavakkam, Adyar, Tambaram, Adambakkam, OMR, Anna Salai, Velachery, Ambattur, Ekkattuthangal, Ashok Nagar, Poonamallee, Aminjikarai, Perambur, Anna Nagar, Kodambakkam, Besant Nagar, Purasaiwakkam, Chromepet, Teynampet, Choolaimedu, Madipakkam, Guindy, Navalur, Egmore, Triplicane, K.K. Nagar, Nandanam, Koyambedu, Valasaravakkam, Kilpauk, T.Nagar, Meenambakkam, Thiruvanmiyur, Nungambakkam, Thoraipakkam, Nanganallur, St.Thomas Mount, Mylapore, Pallikaranai, Pallavaram, Porur, Saidapet, Virugambakkam, Siruseri, Perungudi, Vadapalani, Villivakkam, West Mambalam, Sholinganallur.
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