Home - Artificial Intelligence & Data Science

Artificial Intelligence & Data Science

  • 10+ Lessons
  • 100+ Studenst

Why Choose GTEC Trichy for AI & Data Science?

The future runs on data and intelligent systems—you need a training partner that moves faster than the industry. At GTEC Trichy, we don’t just teach separate subjects; we deliver an integrated, job-ready curriculum covering Artificial Intelligence (AI), Data Science (DS), and Data Analytics (DA). Our focus is on turning you into a full-stack Data Professional ready for the highest-paying roles in the world’s fastest-growing domain.

  • Expert Trainers with Industry Experience: Learn from certified real-time professionals who have managed and deployed complex AI and Data Science projects across various sectors. They bring 10+ years of practical insights directly into the classroom.
  • Integrated AI, DS & DA Curriculum: Unlike courses that focus on one topic, our program gives you a complete 360-degree skillset, ensuring you can handle everything from data collection and analysis to building and deploying complex Deep Learning and Generative AI models.
  • Hands-on Projects and Real-World Case Studies: Master tools like Python, TensorFlow, PyTorch, and Power BI by working on Capstone Projects and business case studies that directly replicate real-world industry challenges.
  • Globally-Recognized Certification: Receive a certification upon successful completion that validates your skills in the most in-demand AI and Data Science technologies.
  • Flexible Batches: Choose the mode that fits your life—Weekday/Weekend, Classroom (Trichy) or Live Online Training—to ensure zero disruption to your current schedule.
  • Affordable Fees with Payment Options: Get world-class training at a competitive fee structure, with easy EMI and installment options to make your career transition seamless.
  • Dedicated Job Placement Support: Benefit from our Active Career Cell offering resume building, mock interviews, and guaranteed interview scheduling with our network of top hiring partners in Trichy and major tech hubs.

About GTEC Trichy

Metrics

GTEC Trichy Success

Our Commitment

Learners Trained

$10,000$+ Trained (Across all courses)

Experience across diverse domains.

Placement Rate

$92\%$ (Success Rate)

Your success is our priority.

Reviews Rating

$4.8/5.0$ (Avg. Student Rating)

Commitment to quality education.

Overview & Objectives: AI & Data Science Mastery

This comprehensive program is designed to equip you with the technical depth of Artificial Intelligence, the statistical rigor of Data Science, and the business-centric clarity of Data Analytics. You will not just become a coder; you will become a strategic decision-maker capable of creating intelligent, automated solutions.

What You’ll Learn: The 3-in-1 Advantage

This course is a synergistic fusion of three high-demand fields:

  1. Data Analytics (The WHAT): Learn to process raw data, perform Exploratory Data Analysis (EDA), and visualize insights to answer immediate business questions (e.g., What happened last quarter?).
  2. Data Science (The WHY & WHEN): Master statistical modeling and Machine Learning to find underlying patterns, build predictive models, and forecast future trends (e.g., Why did sales drop? What will sales be next month?).
  3. Artificial Intelligence (The HOW): Deep dive into Deep Learning, NLP, and Computer Vision to build autonomous, intelligent systems that can automate tasks and create new capabilities (e.g., How can we automatically classify customer emails?).

Who Is It For?

Profile

Key Benefit

Students & Freshers

Launch your career into the highest-paying tech roles with an in-demand, versatile skillset.

Working Professionals

Upskill to lead digital transformation projects or switch to a data-centric role for significant salary growth.

Career Switchers

The comprehensive curriculum provides a complete foundation, enabling a confident and smooth transition into the AI industry.

IT Professionals

Move from a traditional IT role (e.g., Testing, Support) to a specialist profile (e.g., ML Engineer, Data Scientist).

Prerequisites

  • A basic understanding of Mathematics (Algebra, Statistics) is beneficial.
  • Familiarity with any programming language is a plus but not mandatory, as we start with foundational Core Python.
  • A dedicated mindset and willingness to engage in intensive, hands-on learning.

Learning Outcomes – Essential Skills & Tools Covered

Upon course completion, you will be able to confidently:

  • Program proficiently in Python for Data Manipulation (Numpy, Pandas).
  • Master SQL for effective database querying and data extraction.
  • Develop, train, and deploy Machine Learning models (Classification, Regression, Clustering).
  • Implement advanced Deep Learning techniques using TensorFlow and PyTorch for AI applications (CNN, RNN).
  • Create compelling Data Visualizations and interactive dashboards using Tableau/Power BI.
  • Work with essential AI frameworks for Natural Language Processing (NLP) and Computer Vision (OpenCV).
  • Execute end-to-end Data Science projects, from data cleaning to model deployment.

Career Path & Job Roles

This integrated program opens the door to multiple specialized and high-paying roles across every industry.

  • Primary Roles: Data Scientist, Artificial Intelligence (AI) Engineer, Machine Learning (ML) Engineer, Data Analyst, Business Intelligence (BI) Analyst.
  • Specialized Roles: NLP Specialist, Computer Vision Engineer, AI Consultant, Deep Learning Engineer.

Course Syllabus & Modules

Our syllabus is meticulously structured to ensure a progressive learning curve, moving from foundational analytics to complex AI model development. Every module is integrated with lab tasks and real-world projects.

Structure

  • Duration: Full Program (Detailed duration will be based on batch type)
  • Modules Count: 13 Core Modules
  • Capstone Details: 2 Major Capstone Projects + 5+ Mini-Projects

Modules 

Module 1: Introduction to Data Science & AI Fundamentals (H3)

  • Key Topics: The Data Science Workflow, AI vs. ML vs. DL, Applications in E-commerce, Finance, and Healthcare.
  • Tools: Jupyter Notebooks, Anaconda.

Module 2: Core Python Programming for Data Science (H3)

  • Key Topics: Variables, Data Structures, Control Flow, Functions, Object-Oriented Programming (OOP) concepts.
  • Lab Tasks: Building a simple Python calculator, working with lists and dictionaries.

Module 3: Data Manipulation & Analysis with Python (H3)

  • Key Topics: NumPy for array operations, Pandas for DataFrames, Data Cleaning (handling missing values, outliers), Feature Engineering.
  • Tools: NumPy, Pandas.
  • Lab Tasks: Cleaning and preparing a real-world dataset (e.g., Titanic dataset).

Module 4: SQL & Database Management (H3)

  • Key Topics: Introduction to SQL, CRUD operations (Create, Read, Update, Delete), Joins, Subqueries, Stored Procedures.
  • Tools: MySQL/PostgreSQL.
  • Lab Tasks: Extracting and aggregating complex data from a relational database.

Module 5: Statistics & Mathematics for Data Science (H3)

  • Key Topics: Descriptive Statistics, Inferential Statistics, Probability, Hypothesis Testing, Linear Algebra essentials.
  • Lab Tasks: Performing A/B testing analysis on marketing data.

Module 6: Data Visualization & Business Intelligence (H3)

  • Key Topics: Data Storytelling, Plotting with Matplotlib & Seaborn, Creating Interactive Dashboards.
  • Tools: Matplotlib, Seaborn, Tableau/Power BI.
  • Lab Tasks: Designing a KPI dashboard for a retail business.

Module 7: Machine Learning Fundamentals (H3)

  • Key Topics: Supervised vs. Unsupervised Learning, Model Training/Testing, Performance Metrics, Bias-Variance Tradeoff.
  • Tools: Scikit-learn.

Module 8: Supervised Learning Algorithms (H3)

  • Key Topics: Linear & Logistic Regression, Decision Trees, Random Forest, Support Vector Machines (SVM).
  • Lab Tasks: Building a predictive model for house prices or customer churn.

Module 9: Unsupervised Learning & Time Series (H3)

  • Key Topics: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), Introduction to Time Series Analysis.
  • Lab Tasks: Customer Segmentation for targeted marketing.

Module 10: Deep Learning & Neural Networks (H3)

  • Key Topics: Introduction to Neural Networks, Perceptrons, Multi-Layer Perceptrons (MLP), Activation Functions, Backpropagation.
  • Tools: TensorFlow / Keras.

Module 11: Advanced AI: NLP & Computer Vision (H3)

  • Key Topics: Convolutional Neural Networks (CNN) for Image Processing, Recurrent Neural Networks (RNN) for Text, NLP (Tokenization, Sentiment Analysis).
  • Tools: OpenCV, NLTK/SpaCy.
  • Lab Tasks: Building an image classifier or a sentiment analyzer.

Module 12: Big Data & Cloud Essentials (H3)

  • Key Topics: Introduction to Big Data Ecosystem (Hadoop, Spark – conceptual), AI Model Deployment on Cloud (conceptual overview).

Module 13: Capstone Project & Model Deployment (H3)

  • Key Topics: End-to-end project execution, model optimization, API integration, and deployment process.

Real-World Projects: Build Your Data Portfolio

Projects are the backbone of your learning and your job portfolio. You will work on datasets from real industries.

  • Project 1: Advanced Sales Forecasting System:
    • Brief Outcome: Predict future sales and inventory needs for a major retailer using Time Series models and advanced ML.
    • Portfolio Value: Demonstrates proficiency in predictive modeling and business impact.
  • Project 2: AI-Powered Customer Feedback Analyzer:
    • Brief Outcome: Build an end-to-end NLP solution to automatically classify customer reviews and detect sentiment using Deep Learning.
    • Portfolio Value: Showcases expertise in Deep Learning, NLP, and unstructured data handling.
  • Mini-Projects: Fraud Detection, Image Classification, Movie Recommendation System, HR Analytics.

Specializations/Tracks

  • Generative AI & LLMs: Focus on using OpenAI and Hugging Face models for prompt engineering and specialized GenAI applications.
  • M.L.Ops: Focus on the deployment and monitoring of ML models in a production environment.

Training Modes & Batch Details

At GTEC Trichy, we offer maximum flexibility to ensure your AI & Data Science training fits seamlessly into your life and career goals. Choose the mode and schedule that works best for you.

Classroom Training (H3)

Experience the traditional, high-impact learning environment right here in Trichy.

  • Location: State-of-the-art campus in [Insert GTEC Trichy Address/Landmark].
  • Lab Access: Dedicated, high-performance computer labs with all necessary software (Python, TensorFlow, Power BI, etc.) pre-installed. Free lab access available for practice beyond class hours.
  • Batch Size: Limited to ensure personalized attention and high-quality interaction with the instructor.

Live Online Training (H3)

Learn from anywhere with the engagement of a physical classroom. Perfect for those outside Trichy or with busy schedules.

  • Live Sessions: Highly interactive, instructor-led sessions conducted via a dedicated online platform. You can ask questions and collaborate in real-time.
  • Session Recordings: Missed a class or want to revise? Get lifetime access to all high-definition recordings of every session.
  • LMS Access: Full access to our Learning Management System (LMS) containing course materials, assignments, quizzes, and project submission portals.

Weekday/Weekend Batches (H3)

We offer multiple scheduling options to cater to full-time students and working professionals.

Batch Type

Timings/Frequency

Fast-Track Option

Ideal For

Weekday Regular

4-5 days a week (Morning/Evening)

No

Students/Freshers aiming for quick, intensive learning.

Weekend Regular

Saturdays & Sundays (Full day sessions)

Yes (Accelerated content delivery)

Working professionals and college students.

Duration & Schedule: AI & Data Science

  • Total Hours/Weeks: The comprehensive program typically runs for 78+ Hours over 3-4 Months (Standard Track). Fast-track options are available.
  • Upcoming Batch Dates: Contact us for more details on ou upcoming batch. 

Fees & Payment Options

We believe world-class AI & Data Science education should be accessible. Our fees are transparent and cover everything you need to succeed.

Transparent Fees Range: AI & Data Science

Our pricing is highly competitive for a 3-in-1 integrated curriculum. Please [Call or Enquire Now] for the current batch-specific fee structure.

Inclusions

Description

Comprehensive Training

All 13 core modules covering AI, DS, and DA.

Course Materials

Access to all official notes, code files, and lab manuals (digital format).

Projects & Labs

Guidance and assessment for 2 Major Capstone Projects and all lab assignments.

Certification

GTEC Trichy Course Completion Certificate.

Placement Support

Dedicated services including resume building and interview preparation.

Post-Training Support

Access to recordings and instructor support forum for 6 months.


Payment Options

  • Flexible Payment Plans: We offer easy EMI (Equated Monthly Installment) options to spread the course fee over several months without financial strain.
  • Scholarships (If Any): Ask about our [Merit-Based / Early-Bird] scholarships available for qualifying candidates.
  • Refund Policy: A clear and fair refund policy is in place. Details can be found in our admission agreement.

Certification & Accreditation: Your Passport to an AI Career

Validate your expertise in the high-growth field of AI & Data Science with a certificate that is trusted by recruiters and industries worldwide.

Certificate Details

  • Issuing Body: GTEC Trichy (A [Insert Accrediting Body, e.g., ISO-Certified/Recognized] Training Institute).
  • Verifiability: Each certificate comes with a unique serial number and a QR code for instant online verification by potential employers, ensuring its authenticity and value.
  • Sample Certificate Visual:

Value of Your GTEC Certification

Completing our rigorous AI & Data Science program demonstrates more than just theoretical knowledge; it proves you have applied, project-based skills.

  • Interview Support: The certificate acts as compelling evidence during interviews, highlighting your proficiency in Python, Machine Learning, Deep Learning, and BI tools.
  • Portfolio Enhancement: It formally wraps up your learning journey, complementing the Capstone Projects you add to your professional portfolio.
  • Job Readiness: Recruiters know a GTEC certification signifies job-ready skills, often making your profile stand out among applicants.

Placement Support & Outcomes: Launch Your Data Career

Your success is our ultimate goal. Our dedicated Placement Cell provides comprehensive support designed to convert your training into a high-value job.

Services: Job Readiness Accelerator

  • Resume Building: Personalized sessions to craft an AI & Data Science-focused resume that highlights your projects, tools, and technical skills.
  • Mock Interviews: Conducted by industry experts, covering technical concepts, statistical knowledge, and behavioral questions specific to Data Scientist and ML Engineer roles.
  • Aptitude Prep: Training for quantitative, logical, and verbal sections commonly found in MNC hiring processes.
  • Interview Scheduling and Referrals: We actively facilitate interviews with our 30+ partner companies and provide direct referrals based on your performance.

Success Metrics

Metric

GTEC Trichy Data Professionals

Recent Placements

$100+$ Data professionals placed last year (Across all data courses).

Highest Salary Range

₹12 LPA + (Entry-level roles for high performers).

Average Salary Range

₹4.5 LPA – ₹6.5 LPA (Entry-level to Mid-level positions).

Tools & Skills Covered

Master the complete technology stack required to be an effective and versatile Data Professional, moving from basic analysis to advanced AI implementation.

Tools/Technologies

Category

Tools & Libraries

Core Programming

Python (Core), Jupyter Notebooks, Git/GitHub

Data Manipulation

Pandas, NumPy, SQL (MySQL/PostgreSQL)

Statistical Modeling

Scikit-learn, Statsmodels

Deep Learning & AI

TensorFlow, Keras, PyTorch (Intro), OpenCV

Visualization & BI

Tableau, Power BI, Matplotlib, Seaborn

Big Data (Conceptual)

Apache Spark, Hadoop (HDFS)

Skills: Practical Expertise Mapped to Job Roles

Skill Area

Job Role Relevance

Predictive Modeling

Data Scientist, ML Engineer

Data Storytelling

Data Analyst, BI Analyst

Model Deployment

ML Engineer, AI Engineer

Statistical Inference

Data Scientist, Research Analyst

Data Cleaning/Wrangling

All Data Roles

Natural Language Processing (NLP)

AI Engineer, NLP Specialist

Mon-Sat 09:30 AM - 07:00 PM
Sunday Closed

FAQ

Yes, our program goes beyond basic Machine Learning to include Deep Learning modules using TensorFlow/PyTorch (CNN, RNN). We also introduce foundational concepts of Generative AI and Large Language Models (LLMs) to ensure you're future-ready.

A basic program focuses on descriptive analytics and tools like Excel/SQL. Our integrated AI & Data Science course covers descriptive, predictive, and prescriptive analytics, including advanced Machine Learning and AI models. You gain a wider skill set for higher-paying Data Scientist roles.

We primarily use Python, which is the industry standard for both Data Science and Artificial Intelligence. We start with Core Python and quickly move to advanced libraries like Pandas, NumPy, and Scikit-learn.

Yes, the curriculum includes a conceptual overview of Big Data ecosystems, specifically covering the architecture and role of Apache Spark and Hadoop in enterprise-level data processing.

Absolutely. The demand for skilled AI Engineers and Data Scientists is growing exponentially across all sectors (IT, Manufacturing, Finance). This role is ranked among the top 5 emerging jobs globally, offering long-term career stability and growth.

While salaries depend on the company and interview performance, our certified freshers typically start with packages ranging from ₹4.5 LPA to ₹6.5 LPA in Tier 2 cities and tech hubs, with high performers securing much higher offers.

With our dedicated placement support and active career cell, most job-ready students receive interview calls within 4 to 8 weeks after completing the major capstone projects and placement preparation sessions.

Yes. We offer a flexible hybrid model. You can switch between classroom and live online training modes based on your circumstances, provided you notify our administration beforehand to manage batch seating.

Is there dedicated support for clarifying doubts outside of class hours?

You receive one-on-one mentorship for your Capstone Projects, including guidance on problem formulation, model selection, code review, and presentation skills—essential for creating a high-impact portfolio for interviews.

Artificial Intelligence & Data Science

Course Details:

Course Price:

-

Instructor

Priya

Lesson Duration

12 Weeks

Lessons

45

Places for Students

100+

Language:

English, Tamil

Certifications

Digital, Physical

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