AI is entering every industry
From banking to manufacturing, companies are adding AI features and need people who understand how they work.
Livewire · Special Programs
Artificial Intelligence Course in Vellore, Katpadi & Ranipet
Go from Python basics to machine learning, computer vision, NLP and deep learning – and build an AI project on a Raspberry Pi robot.
1 level68 h60 topics3 centresClassroom · Online · Hybrid
01What is Artificial Intelligence
What is Artificial Intelligence? In plain words.
Artificial intelligence (AI) is the field of building software that can learn from data, recognise images, understand text and make decisions. In practice, most AI work is done in Python using libraries such as OpenCV for images, NLTK for language and TensorFlow and Keras for neural networks. AI covers several branches: machine learning, computer vision, natural language processing, deep learning and reinforcement learning, each suited to a different kind of problem.
AI now sits inside everyday products: face unlock, spam filters, chatbots, number-plate readers, quality inspection cameras in factories and medical image screening. IT service companies, product firms, manufacturers and start-ups want engineers who understand how models are trained, tested and connected to real devices. This course combines those AI branches with hardware work on a Raspberry Pi, which is useful for robotics and automation roles.
Katpadi and Vellore have many engineering colleges where AI final-year projects are popular, and factories in Ranipet SIPCOT and along the Chennai–Bengaluru corridor are adopting camera-based inspection and automation, so practical AI skills are useful here.
What you will be able to do
- Explain what AI is, its history and its main applications
- Apply statistics essentials needed for AI and machine learning
- Write Python programs using control flow, functions, data structures, modules, file I/O and exception handling
- Train supervised machine learning models for AI problems
- Process images and video with OpenCV, including image segmentation
- Perform text mining with NLTK using tokenising, stemming, lemmatisation, POS tagging and chunking
- Build and train perceptrons and convolutional neural networks with Keras and TensorFlow
- Integrate AI features with a Raspberry Pi robot for real-time object detection
02Why learn it
Why learn Artificial Intelligence now?
Six reasons students and professionals in Vellore district pick this skill.
Covers all main branches
You touch machine learning, computer vision, NLP, deep learning and reinforcement learning in one programme.
Python from the start
The course builds Python skills first, so you do not need prior coding experience in AI libraries.
Hardware plus software
Running AI on a Raspberry Pi with sensors gives you rare, hands-on robotics and edge experience.
Strong final-year project material
Object detection, sentiment analysis and chatbot applications make solid academic and portfolio projects.
Path to advanced roles
A clear grasp of neural networks and CNNs is the base for data science, ML engineering and research study.
03Who can learn
Who can join this course?
BE/BTech CSE, IT and ECE students
Build AI projects and skills that match current campus and product-company interviews.
BE/BTech EEE, Mechatronics and Mechanical students
Use AI with Raspberry Pi and sensors for robotics and automation projects.
BSc, BCA and MCA students
Move beyond basic programming into applied AI and machine learning.
MSc and research scholars
Get practical exposure to TensorFlow, Keras, OpenCV and NLTK for research work.
Software professionals
Add AI and deep learning to your existing development skills.
Diploma holders with programming basics
Step into AI through the Python and hardware sessions.
Before you start: Basic computer skills and school-level maths are needed. Some programming exposure helps, though Python is taught from the beginning.
04Levels & syllabus
Every Artificial Intelligence level, topic by topic.
1 programme on one page. Pick a level to see its modules and every topic covered.
Foundation level
Course on Artificial Intelligence
Engineering and science students or developers who want a hands-on 68-hour introduction to AI, deep learning and AI on hardware.
68 hours10 modules · 60 topicsCode LWC115DSCertificate: Livewire network
10 modules · 60 topics
01Introduction to AI and Statistics5 topics
Introduction to Artificial IntelligenceHistory of AIApplications of AIStatistics EssentialsPre-Programme Preparation
02Python Programming for AI8 topics
Introduction to Python ProgrammingControl FlowFunctionsData StructuresModules and PackagesFile Input and OutputException HandlingStandard Library
03Machine Learning3 topics
Introduction to Machine LearningSupervised Algorithms for AI ProblemsHands-On Supervised Learning Practice
04Computer Vision with OpenCV3 topics
Introduction to OpenCVLibraries and Packages for Image and Video ProcessingImage Segmentation in AI
05Natural Language Processing9 topics
Introduction to NLP with NLTKText Mining Using NLPTokenizerStemmingLemmatizationParts-of-Speech TaggingSyntaxChunkingUsing ML and NLP to Solve Problems
06Deep Learning Foundations6 topics
How Deep Learning WorksHow Neural Networks WorkComponents of Neural NetworksInstalling Keras, Theano and TensorFlowIntroduction to Keras, Theano and TensorFlowFunctionalities of TensorFlow
07Neural Network Models6 topics
Single-Layer PerceptronMulti-Layer PerceptronPros and Cons of Single and Multi-Layer PerceptronsTraining Using Back PropagationConvolutional Neural NetworkUsing OpenCV with Deep Learning
08Reinforcement Learning and Search5 topics
Introduction to Reinforcement LearningQ-LearningCase Study: Uber Autonomous CarRoad Map Search Using BFS and DFSCase Study
09Robotics and Raspberry Pi7 topics
Introduction to RoboticsParts of a RobotActuator Design and ComponentsIntroduction to Raspberry PiInstallation of RaspbianInput and Output Programming Using PythonSensor Interfacing Using Python
10AI Applications and Project8 topics
Integrating AI Features with Raspberry PiIntegrating an AI Robot Using IoTObject SegmentationObject RecognitionSentiment AnalysisChatbotReal-Time Object Detection Using an AI RobotCounselling Robot Design Using Raspberry Pi
05Your next step
Where this course leads
This page has one 68-hour programme that covers AI end to end, from Python to deep learning and a Raspberry Pi robot. If you are new to programming, Python first will make it easier; after this, Machine Learning, Data Science or Edge AI take you deeper.
Foundation
Course on · Essential · Certificate · SKEP · Executive DiplomaStart here. Core tools, workflow and a practice project.
Professional
Proficient · ProfessionalIndustry-style exercises, advanced features and a portfolio project.
Master
Advanced · Expert · MastersComplete programmes that combine several tools and a capstone project.
06Hands-on
Projects you will build
You learn by making real deliverables – reviewed by your trainer before certification.
Real-time object detection robot
Connect a camera to a Raspberry Pi robot and detect objects live using OpenCV and a trained model.
Sentiment analyser
Use NLTK to clean and tokenise product reviews and classify them as positive or negative.
Simple chatbot
Build a text chatbot that answers common questions using NLP techniques.
Image classifier with CNN
Train a convolutional neural network in Keras to recognise categories of images.
Counselling robot on Raspberry Pi
Design a robot that takes user input through sensors and responds with AI-driven answers.
Tools & features covered
Python and its standard libraryOpenCV for image and video processingNLTK for natural language processingTensorFlowKerasTheanoSupervised machine learning algorithmsConvolutional neural networksQ-Learning (reinforcement learning)Raspberry Pi with Raspbian OSSensor interfacing with Python
Talk to a counsellor about Artificial Intelligence
Get the full syllabus PDF, current fee, offers and the next batch date on WhatsApp – usually within minutes during centre hours.
07Careers
Jobs you can apply for after Artificial Intelligence
Roles that list this skill in Indian job postings.
AI/ML Trainee Engineer
Prepares data, trains models and tests them under senior engineers.
Junior Machine Learning Engineer
Builds and improves models for prediction and classification tasks.
Computer Vision Engineer (Junior)
Works on image and video applications such as detection and inspection.
NLP Developer (Junior)
Builds text processing features like chatbots, search and sentiment analysis.
Python Developer
Writes Python code for AI, automation and data applications.
Robotics / Automation Engineer
Connects AI models with sensors and actuators in robots and machines.
AI Research Assistant
Supports academic or company research by running experiments and recording results.
Salary you can expect
Fresher0–2 years₹3–5.5 LPA
Experienced3–5 years₹6–12 LPA
Senior6+ years₹14–28 LPA
Indicative ranges for India; pay varies by company, city, skills and experience. Strong projects and maths skills make a big difference in AI roles. Figures in lakh per annum (LPA).
Industries that use it
IT servicesSoftware productsManufacturing and automationAutomotiveHealthcare and diagnosticsBanking and fintechE-commerce and retailRoboticsResearch and education
Companies that use these skills
TCSInfosysWiproHCLTechTech MahindraCognizantAccentureZohoFreshworksL&T Technology ServicesTata ElxsiBoschFlipkartReliance JioMphasis
Examples of well-known companies and sectors in India that use these skills. They are not CareerKraft partners or recruiters.
Your career path
1
AI/ML Intern or Trainee
Cleans data, runs experiments and learns the team's tools.
2
Junior ML / AI Engineer
Builds and tests models for specific features.
3
ML Engineer / Computer Vision Engineer
Designs models, tunes performance and deploys them to production or devices.
4
Senior AI Engineer
Leads AI projects and chooses architectures and tools.
5
AI Architect / Lead
Plans AI strategy across products and guides the team.
Placements
Students placed from our centres
Vignesh K
Service Lab Assistant
Metric Measurement Technologies
Proficient in AutoCAD Electrical
AJ
Aminudeen J
Intern
Aptagrim Consulting Pvt. Ltd, Hyderabad
Master Program in Software Development
AC
Ashwini C
Teacher
Springdays CBSE School, Vellore
Course on Python
SB
Shilpa B
Associate Networker, Intern
Selfmade Ecom Pvt. Ltd, Rinex
Internship available: Artificial Intelligence internship (20 hours) – a short project-based track for college students.
08How you learn
Classroom, online or both.
Same syllabus and certificate in every mode. Your counsellor confirms the mode based on trainer availability for your batch.
Classroom
Learn in our labs at Katpadi, Vellore or Ranipet with your trainer beside you and classmates to build with.
Online
Live sessions from home with the same syllabus, projects and certificate. Good if you cannot travel every day.
Hybrid
Lab days plus online sessions around college or work. The mode depends on trainer availability for your batch.
Certificate
On completing a level and its project assessment, you receive the course certificate of the Livewire network, issued through CareerKraft as the authorised training partner.
Batches & timings
Weekday, weekend and fast-track batches within centre hours (Mon–Sat 9:30 AM – 6:30 PM · Sun 9:00 AM – 2:00 PM). Ask for the next start date at your centre.
Fees & EMI
The fee depends on the level and mode. Your counsellor shares the current fee, offers and EMI options on WhatsApp.
Why learn at CareerKraft
Authorised partner training
Structured syllabi and certificates from the CADD Centre, Livewire and SynergySBS networks.
Learn by doing
Hands-on lab work and a project assessed before you are certified.
Personal attention
Industry-experienced trainers and batches small enough to ask questions.
Placement support
Resume help, mock interviews and job leads when you are ready – no false promises.
Career guides that include this course
11Where to learn
Learn Artificial Intelligence at any of 3 centres
Same syllabus, trainer standard and certificate at every centre. Tap the centre you want.
Artificial Intelligence in Katpadi
Near Aascars Cinemas, Katpadi
Livewire Katpadi
Artificial Intelligence in Vellore
Near Raja Theatre, Vellore
Livewire Vellore
Artificial Intelligence in Ranipet
Near SBI, Muthukadai, Ranipet
Livewire Ranipet
09FAQ
Artificial Intelligence course – your questions answered
12 answers about levels, duration, eligibility, certificate, placement support and fees.
Still have a question? The counsellor at the centre you prefer replies on WhatsApp.
Ask on WhatsAppWhat does the Artificial Intelligence course cover?
It covers Python, statistics essentials, machine learning, computer vision with OpenCV, NLP with NLTK, deep learning with Keras and TensorFlow, reinforcement learning, and AI on a Raspberry Pi robot. It ends with real-time applications like object detection and chatbots.
Who is eligible?
Engineering, science, BCA and MCA students, graduates and working professionals can join. School-level maths and basic computer skills are expected; programming experience helps.
How long is the course?
The Course on Artificial Intelligence is 68 hours. The number of weeks depends on the batch timing you choose.
Do I need to know Python first?
Python is taught in the early sessions, so you can start without it. If you have never coded before, taking our Python course first will make the later deep learning sessions easier.
Which course should I take after this?
For deeper modelling, take Machine Learning or Data Science. For running AI on devices, take Edge AI. For generative AI tools, take ChatGPT and Generative AI.
Is the course available online or hybrid?
Classroom, online and hybrid modes are offered, depending on trainer availability. The Raspberry Pi hardware sessions are best attended at the centre.
Can I attend a free demo?
Ask the counsellor at your chosen centre on WhatsApp or phone; they can arrange a demo or counselling session where possible.
Will I receive a certificate?
Yes. On completion of the course and assessments you receive a certificate from our training partner Livewire.
Is placement guaranteed?
No, we do not guarantee jobs. We provide placement support: resume help, mock interviews and job leads. Your projects and interview skills decide the result.
What is the fee?
Fees are not listed because offers change. The counsellor at your chosen centre will share the current fee, offers and EMI options on WhatsApp.
Do I need my own laptop?
Lab systems and Raspberry Pi kits are available at the centre for classroom sessions. A laptop that can run Python helps for home practice and is needed for online classes.
What are the job prospects and which centre can I join?
Freshers with good AI projects often start around ₹3–5.5 LPA, with higher pay in metros and with experience. The course runs at Katpadi, Vellore and Ranipet, Monday to Saturday 9:30 am–6:30 pm and Sunday 9:00 am–2:00 pm.
10Keep exploring
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View course Listed in:
Local pages: Artificial Intelligence course in Katpadi · Artificial Intelligence course in Vellore · Artificial Intelligence course in Ranipet · Artificial Intelligence course in Tiruvannamalai · Artificial Intelligence course in Tirupattur
Start today
Get the Artificial Intelligence syllabus, fees & batch dates
Fill this in and WhatsApp opens with your details, addressed to the centre you choose. The counsellor replies with the full syllabus, current fee, offers and the next batch.
- Free counselling and demo class
- Real projects and placement support
- Classroom, online or hybrid batches
- Replies Mon–Sat 9:30 AM – 6:30 PM · Sun 9:00 AM – 2:00 PM