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Artificial Intelligence Training in Chennai Test Course

Learn artificial intelligence with real-world tools, hands-on projects, and industry insights to build models, develop smart systems, and create intelligent, AI-driven business solutions confidently.

Course Features – Placement Point Solutions:-

What Will You Learn?

  • 40+ Hours Course Duration
  • 1000+ Interview Questions & Answers
  • 100% Placement Facilitation
Student Reviews

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    Fill in the details to get started

    Training Methods

    Training Methods

    LMS Online Learning Platform
    (Life-time Access)

    Course Period

    Course Period

    8 - 12 Weeks Training
    Free Practice Server

    Interview Preparation

    Interview Preparation

    Live Mock Interview
    Preparation

    Course Language

    Course Language

    Tamil & English
    (Students Preference)

    Artificial Intelligence Training in Chennai Test Course

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    About Course

    Learn artificial intelligence with real-world tools, hands-on projects, and industry insights to build models, develop smart systems, and create intelligent, AI-driven business solutions confidently.

    What Will You Learn?

    • 40+ Hours Course Duration
    • 1000+ Interview Questions & Answers
    • 100% Placement Facilitation

    Course Content

    Introduction to Data Analytics

    • What is Data Analytics
    • Types of Analytics
    • Data Analytics vs Data Science
    • Business Use Cases

    Understanding Data & Its Importance

    Data Basics & Data Handling

    Statistics Fundamentals for Analytics

    Introduction to Excel

    Excel Basics for Data Analysis

    Advanced Excel for Analytics

    Excel Data Analysis Tools

    Data Cleaning & Preparation

    Introduction to Databases

    SQL Fundamentals

    SQL Queries & Functions

    SQL Joins & Subqueries

    Introduction to Programming with Python

    Python Control Structures

    Python for Data Analysis

    Data Visualization with Python

    Introduction to Business Intelligence

    Power BI Fundamentals

    Power BI Data Visualization

    Power BI DAX Basics

    Real-Time Data Analytics Projects
    Students work on real business datasets to analyze sales, customers, finance, and operations. This module builds confidence and practical experience.

    Data Analytics Job Roles
    Students understand responsibilities of Data Analyst, Business Analyst, Reporting Analyst, and MIS Analyst. This helps them plan their career path.

    Interview Preparation & Resume Building
    Students learn how to prepare resumes, answer technical questions, explain projects, and attend mock interviews confidently.

    Career Guidance & Placement Support
    This module provides a clear career roadmap, industry expectations, job search strategies, and placement assistance support until employment.

    Earn a certificate

    Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

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    Student Ratings & Reviews

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    Artificial Intelligence Training in Chennai Test Course

    ★★★★★
    5.0 (16,198 reviews)
    ₹800* No cost EMI – ₹133 p.m for 6 months

    Fees Details

    Free
    Free access this course
    • Beginner
    • 0 Total Enrolled
    • 3 hours 30 minutes Duration
    • February 12, 2026 Last Updated
    • Certificate of completion

    Our Partners

    Tiger Analytics – Analytics & AI solutions
    Customer Analytics India Pvt Ltd
    Vittena Analytics Pvt. Ltd.
    iBeris Software Solutions
    Lapis Data Analytics Pvt. Ltd.
    Analytics Aura Private Limited
    AIML Data Analytics Solutions
    Wavicle Data Solutions LLC
    Crossroad Elf DSS Pvt. Ltd
    47Billion – Data analytics & AI solutions
    Mammoth Analytics
    Tibil Solutions
    Impact Analytics
    COURSE OVERVIEW

    Artificial IntelligenceCourse Introduction

    Learn how Artificial Intelligence transforms business decisions and build a future-ready career with practical, job-oriented AI training focused on real-world applications and industry needs.

    What is Artificial Intelligence ?

    Artificial Intelligence is the process of designing, developing, and training systems to help organizations automate tasks and make smarter decisions across industries.

    An AI Professional works with tools like Python, Machine Learning & Deep Learning to build models and deliver intelligent solutions clearly—without complex manual processes.

    Is This Course for Freshers & Non-IT?

    Yes. This course is designed from absolute basics, making it ideal for freshers, non-technical backgrounds, and career switchers. No prior programming experience is required—only consistency and curiosity.

     
     

    Career & Job Opportunities

    After completion, learners can apply for roles such as:

    • AI Engineer / Junior AI Engineer

    • Machine Learning Engineer (Entry-Level)

    • AI Developer / AI Analyst

    Salary & Growth

    Entry-level salaries vary by skills and technology expertise, while experienced professionals advance rapidly with project-based knowledge. Artificial Intelligence offers long-term stability and strong career growth.

     
     
     
     

    Why Choose This Course?

    • Beginner-friendly for freshers & non-IT candidates
    • High-demand jobs across multiple industries
    • Practical, career-focused learning approach
    • Perfect for entry-level & career-switch roles

    SALARY INSIGHTS

    AI Salary Insights (India). Artificial Intelligence offers strong career growth with salaries increasing based on technical skills, hands-on experience, and technology expertise.

    Freshers

    ₹3 LPA – ₹6 LPA

    Entry-level roles such as Junior AI Engineer, Machine Learning Intern, or AI Analyst. Salaries depend on Python, Machine Learning, Deep Learning skills and project exposure.

    Career Switchers

    ₹5 LPA – ₹9 LPA

    Professionals moving from non-IT domains can leverage domain knowledge with AI skills for faster career growth.

    Experienced Professionals

    ₹8 LPA – ₹15+ LPA

    Advanced AI models, intelligent systems, automation, and data-driven innovation lead to senior-level salary growth.

    Disclaimer: Salary figures are indicative estimates based on market trends and may vary depending on skills, experience, location, company policies, and individual performance.

    Frequently Asked Questions

    What is Artificial Intelligence (AI)? +

    Artificial Intelligence is a technology that enables machines to think, learn, and make decisions like humans by analyzing data and recognizing patterns.

    How does AI work in real-world applications? +

    AI works by using algorithms and data to train models that can predict outcomes, automate tasks, recognize images, understand speech, and provide intelligent solutions.

    What are the main types of Artificial Intelligence? +

    The main types are Narrow AI (task-specific AI), General AI (human-level intelligence – still theoretical), and Super AI (advanced intelligence beyond humans – future concept).

    What skills are required to start a career in AI? +

    Basic programming (Python), mathematics (statistics & linear algebra), problem-solving skills, and understanding of machine learning concepts are important to start in AI.

    Is coding mandatory to learn Artificial Intelligence? +

    Yes, basic coding knowledge—especially in Python—is generally required to build AI models, but beginners can start from absolute basics.

    What is the difference between AI, Machine Learning, and Deep Learning? +

    AI is the broad concept of intelligent machines. Machine Learning is a subset of AI that learns from data. Deep Learning is a specialized part of Machine Learning using neural networks.

    What are the career opportunities available in AI? +

    Career roles include AI Engineer, Machine Learning Engineer, Data Scientist, NLP Engineer, Computer Vision Engineer, and AI Research Analyst.

    What tools and programming languages are commonly used in AI? +

    Common tools include Python, TensorFlow, PyTorch, Scikit-learn, Keras, Jupyter Notebook, and cloud platforms like AWS and Azure.

    Can non-technical or fresher candidates learn AI? +

    Yes. With proper training from basics and consistent practice, freshers and non-technical learners can transition into AI careers.

    What is the average salary of an AI professional? +

    Entry-level AI professionals earn competitive salaries, and experienced professionals can earn significantly higher packages depending on skills, experience, and location.

    Who This Artificial Intelligence Course Is Not For

    This course is designed for learners who are genuinely interested in building practical Artificial Intelligence skills. It may not be the right fit for everyone.

    ✔ If you are committed to learning, practicing consistently, and building real skills, this course can help you start or grow a career in Artificial Intelligence

    HOW THIS COURSE WORKS

    This Artificial Intelligence course follows a structured and practical learning journey to help you build confidence and job-ready skills step by step.

    1

    Learn the Fundamentals

    Start with core concepts of Artificial Intelligence and gradually learn Python, Machine Learning, Deep Learning, and AI tools with simple and easy explanations.

    2

    Practice with Real-World Scenarios

    Work on real datasets, hands-on model building, and practical projects based on real business problems and industry use-cases.

    3

    Prepare for Interviews & Careers

    Get interview preparation, resume guidance, project explanation support, and career planning to confidently apply for AI and Machine Learning roles.

    COURSE FEATURES

    Artificial Intelligence Course Features

    This Artificial Intelligence course is designed to help learners build strong AI skills and become job-ready through a structured, practical, and beginner-friendly approach.

    Beginner-Friendly Curriculum

    The course starts from the basics and gradually moves to advanced AI concepts, making it suitable for freshers and non-technical professionals.

    Complete Tool Coverage

    Learn all essential tools required for AI roles, including Python, Machine Learning, Deep Learning, and popular AI frameworks, in one integrated course.

    Practical & Hands-On Training

    Gain practical experience by working with real-world datasets, model-building exercises, and assignments designed to improve problem-solving and analytical thinking.

    Industry-Oriented Learning

    The curriculum is aligned with current industry requirements and focuses on skills commonly expected in Artificial Intelligence job roles.

    Interview Preparation Support

    Get exposure to commonly asked AI interview questions and guidance on how to present your technical skills confidently during interviews.

    Career Guidance & Support

    Receive structured career guidance to understand AI job roles, career paths, and growth opportunities in the Artificial Intelligence field.

    🎥 Student Video Reviews

    Watch what our students say about this course

    Rahul

    The course helped me understand Artificial Intelligence from scratch. The explanations were simple, and the practical sessions made concepts easy to follow.

    Kartik

    I come from a non-technical background, and I was worried initially. The step-by-step teaching approach helped me gain confidence and understand AI tools and concepts clearly.

    Mahesh

    The AI training was practical and well-structured. The guidance on interview preparation and career direction in Artificial Intelligence was very helpful.

    Rohit

    I liked the way AI concepts were explained with real examples. The course is suitable for freshers who want to enter the Artificial Intelligence field.

    Interview Questions & Answers

    📘 INTRODUCTION TO ARTIFICIAL INTELLIGENCE

    Q1. What is Artificial Intelligence? +

    Artificial Intelligence is the technology that enables machines to simulate human intelligence. It allows systems to learn, reason, and make decisions automatically. AI helps computers perform tasks that normally require human thinking. It focuses on creating smart systems that can improve over time.

    Q2. Why is Artificial Intelligence important for businesses? +

    Artificial Intelligence helps businesses automate processes and improve productivity. It allows companies to enhance customer experience through smart systems. AI supports strategic decisions using intelligent predictions and automation. It increases efficiency while reducing operational costs.

    Q3. What are the main types of Artificial Intelligence? +

    The main types are Narrow AI, General AI, and Super AI. Narrow AI performs specific tasks like chatbots and recommendations. General AI aims to perform any intellectual task like humans. Super AI refers to intelligence beyond human capability. Each type represents different levels of advancement.

    Q4. What is the role of an Artificial Intelligence Engineer? +

    An AI Engineer develops and implements intelligent systems and models. They build algorithms that enable machines to learn from data. The role involves training models and optimizing performance. Strong analytical and programming skills are important to create effective AI solutions.

    Q5. Is Artificial Intelligence suitable for freshers? +

    Yes, Artificial Intelligence is suitable for freshers with strong interest in technology. It starts with basic concepts of programming and logic. Mathematical understanding and continuous practice are important. With proper training, freshers can build promising careers in AI.

    Q6. What tools are commonly used in Artificial Intelligence? +

    AI is the broad concept of intelligent machines. Machine Learning is a subset of AI that learns from data. Deep Learning is a specialized part of Machine Learning using neural networks.

    Q7. How is Artificial Intelligence different from traditional software programming? +

    Traditional programming follows fixed rules written by developers, while AI systems learn patterns from data and improve automatically without being explicitly programmed for every scenario.

    📘 DATA IN ARTIFICIAL INTELLIGENCE

    Q1. What is data in Artificial Intelligence? +

    Data refers to the information used to train AI models. It can include numbers, text, images, audio, or video that helps systems learn patterns and make predictions.

    Q2. Why is data important in AI systems? +

    Data is the foundation of AI. The accuracy and performance of AI models depend on the quality and quantity of data used for training.

    Q3. What are real-world examples of AI using data? +

    Examples include recommendation systems, chatbots, facial recognition, voice assistants, fraud detection systems, and autonomous vehicles.

    Q4. What is training data in AI? +

    Training data is the dataset used to teach AI models how to recognize patterns and make predictions.

    Q5. How does AI use data for decision-making? +

    AI analyzes large datasets to identify patterns and trends, enabling automated predictions and intelligent decision-making.

    Q6. What is labeled data in AI? +

    Labeled data is data that includes input along with the correct output, which is mainly used in supervised learning.

    Q7. What is unlabeled data in AI? +

    Unlabeled data is data without predefined outputs, commonly used in unsupervised learning to identify hidden patterns.

    📘 AI DATA HANDLING & MODEL PROCESS

    Q1. What are the main types of data used in AI? +

    AI works with structured data (tables, databases), semi-structured data (JSON, XML), and unstructured data (text, images, videos).

     

    Q2. What are data sources in AI projects? +

    Data sources include databases, APIs, sensors, IoT devices, websites, social media platforms, and enterprise systems.

     

    Q3. What is the AI model lifecycle? +

    The AI lifecycle includes data collection, data cleaning, model training, model evaluation, deployment, and continuous monitoring.

    Q4. What are common data formats used in AI? +

    Common formats include CSV, JSON, XML, image files (JPEG, PNG), audio files, and video formats.

    Q5. What is data preprocessing in AI? +

    Data preprocessing involves cleaning, transforming, and organizing raw data into a format suitable for model training.

    Q6. What is model training in AI? +

    Model training is the process of teaching an AI algorithm to recognize patterns using training data.

     

    Q7. What is model evaluation in AI? +

    Model evaluation measures the performance of an AI model using metrics such as accuracy, precision, recall, and F1-score.

    Artificial Intelligence Training in Chennai Test Course

    Wishlist Share
    Share Course
    Page Link
    Share On Social Media

    About Course

    Learn artificial intelligence with real-world tools, hands-on projects, and industry insights to build models, develop smart systems, and create intelligent, AI-driven business solutions confidently.

    What Will You Learn?

    • 40+ Hours Course Duration
    • 1000+ Interview Questions & Answers
    • 100% Placement Facilitation

    Course Content

    Introduction to Data Analytics

    • What is Data Analytics
    • Types of Analytics
    • Data Analytics vs Data Science
    • Business Use Cases

    Understanding Data & Its Importance

    Data Basics & Data Handling

    Statistics Fundamentals for Analytics

    Introduction to Excel

    Excel Basics for Data Analysis

    Advanced Excel for Analytics

    Excel Data Analysis Tools

    Data Cleaning & Preparation

    Introduction to Databases

    SQL Fundamentals

    SQL Queries & Functions

    SQL Joins & Subqueries

    Introduction to Programming with Python

    Python Control Structures

    Python for Data Analysis

    Data Visualization with Python

    Introduction to Business Intelligence

    Power BI Fundamentals

    Power BI Data Visualization

    Power BI DAX Basics

    Real-Time Data Analytics Projects
    Students work on real business datasets to analyze sales, customers, finance, and operations. This module builds confidence and practical experience.

    Data Analytics Job Roles
    Students understand responsibilities of Data Analyst, Business Analyst, Reporting Analyst, and MIS Analyst. This helps them plan their career path.

    Interview Preparation & Resume Building
    Students learn how to prepare resumes, answer technical questions, explain projects, and attend mock interviews confidently.

    Career Guidance & Placement Support
    This module provides a clear career roadmap, industry expectations, job search strategies, and placement assistance support until employment.

    Earn a certificate

    Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

    selected template

    Student Ratings & Reviews

    No Review Yet
    No Review Yet
    New Concept

    Artificial Intelligence Course Features

    Beginner-Friendly Curriculum

    The course starts from the basics and gradually moves to advanced concepts, making it suitable for freshers and non-IT professionals.

    Complete Tool Coverage

    Learn all essential tools required for an Artificial Intelligence role, including Python, Machine Learning, Deep Learning, and AI frameworks, in one integrated course.

    Practical & Hands-On Training

    Gain practical experience by working with real-world datasets, exercises, and assignments designed to improve analytical thinking.

    Concept Image

    Industry-Oriented Learning

    The curriculum is aligned with current industry requirements and focuses on skills commonly expected in Artificial Intelligence job roles.

    Interview Preparation Support

    Get exposure to commonly asked AI interview questions and guidance on how to present your technical skills confidently during interviews.

    Career Guidance & Support

    Receive structured career guidance to understand job roles, career paths, and growth opportunities in the Artificial Intelligence field.

    📄

    Beginner-Focused Learning Approach

    Our Artificial Intelligence course is designed to start from the basics and gradually build advanced skills, making it ideal for freshers and candidates from non-technical backgrounds.

    ❤

    Complete and Industry-Relevant Curriculum

    The course covers all essential tools required for Artificial Intelligence roles, including Python, Machine Learning, Deep Learning, and AI frameworks, ensuring learners gain end-to-end knowledge in one program.

    🔥

    Practical Training with Real-World Exposure

    Learners work with real datasets, practical exercises, and projects that reflect real industry scenarios, helping them build confidence and hands-on experience.

    👥

    Interview Preparation and Career Guidance

    We provide guidance on interview questions, resume preparation, and project explanations to help learners face interviews with confidence.

    Why Choose Placement Point Solutions for
    Artificial Intelligence Training

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    Our Corporate Companies
    WHY CHOOSE US

    Why Choose Placement Point Solutions
    for Artificial Intelligence Training

    We focus on building strong fundamentals, practical exposure, and career readiness to help learners succeed in Data Analytics roles.

    📘

    Beginner-Focused Learning Approach

    Our Artificial Intelligence course is designed to start from the basics and gradually build advanced skills, making it ideal for freshers and candidates from non-technical backgrounds.

    ❤️

    Complete & Industry-Relevant Curriculum

    The course covers all essential tools required for Artificial Intelligence roles, including Python, Machine Learning, Deep Learning, and AI frameworks, ensuring learners gain end-to-end knowledge in one program.

    🔥

    Practical Training with Real-World Exposure

    Learners work with real datasets, exercises, and projects that reflect real industry scenarios and build hands-on confidence.

    👥

    Interview Preparation & Career Guidance

    We guide learners on interview questions, resume preparation, and project explanations to face interviews confidently.

    🧭

    Structured & Transparent Learning Path

    The syllabus is clearly defined and shared in detail so learners understand what they will learn at every stage.

    🤝

    Continuous Support Throughout the Course

    Learners receive continuous support for doubt clearing and guidance, ensuring a smooth learning experience from start to finish.

    Ready to Start Your Career in Artificial Intelligence?

    Take the next step towards building a successful career in Artificial Intelligence with structured training, practical learning, and career guidance.

    Get complete clarity on the course syllabus, learning approach, batch schedules, and career opportunities by speaking with a career expert.

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