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Read More →Learners in Chennai can join Uncodemy's Artificial Intelligence course, a 5–6 month live, instructor-led online program. The syllabus includes Python, Machine Learning, Deep Learning, NLP, Computer Vision, and the fundamentals of Generative AI & LLMs. Uncodemy does not run a physical centre in Chennai — all sessions are conducted live online, with classroom training available at their Delhi and Noida centres for learners who can travel. The fee is ₹24,500 + 18% GST, i.e., ₹28,910 in total, and EMI plans begin at ₹4,818/month for 6 months*.
Learn from 8+ years experienced professionals
Build real artificial intelligence test suites, not just theory
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
Learners who complete Uncodemy's Data Science program gain practical experience in Python, SQL, Machine Learning, Statistics, Data Visualization (Power BI/Tableau), and Agile methodologies. After completing the training and career-readiness modules, eligible candidates can pursue roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst.
Placed at:Makeo
Placed at:HSBC
Placed at:Fiserv
Placed at:Fis
Placed at:Access Meditech
Placed at:Genpact
Placed at:Capgemini
Placed at:Allsoft Solutions
Placed at:Vitraya Technologies
Placed at:PwC
Placed at:Webfries
Placed at:Anaptyss
Placed at:Iris Software
Placed at:Iris Software
Chennai, a leading industrial and IT hub in South India, is fast becoming a significant centre for Artificial Intelligence development. The city's strong automotive, healthcare, and financial services industries are increasingly embracing AI to improve efficiency and decision-making — from predictive maintenance in factories to AI-assisted diagnostics in hospitals. The concentration of technology parks and skilled talent is further accelerating this trend.
What does an AI engineer do? In Chennai, an AI engineer could be working with an automotive company to build autonomous driving features or partnering with a fintech firm to design advanced fraud detection models. Day-to-day responsibilities include preparing data, training and tuning ML models, and deploying them into production. The role demands a mix of programming ability, statistical understanding, and the skill to translate business needs into technical solutions.
While these three Uncodemy programs share some core elements, their specific focus and depth differ significantly. This comparison is designed for learners in Chennai, helping them choose a path that aligns with careers in the city's growing sectors like IT, automotive, and healthcare.
| Aspect | Artificial Intelligence | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | A broad foundation covering ML, DL, NLP, CV, and GenAI | Building, fine-tuning & deploying LLM-powered applications | Building retrieval-grounded AI systems on enterprise knowledge |
| Coding depth | High | High | High |
| Typical entry salary | ₹4–8 LPA (Entry-Level AI Engineer, per this sheet) | ₹6–10 LPA (per LLM Engineering course sheet) | ₹5–9 LPA (per RAG Engineering course sheet) |
| Uncodemy program duration | 5–6 months | 5–6 months | 5–6 months |
Salary ranges are indicative and vary by role, skills, experience, location and employer.
This Artificial Intelligence course is a 5–6 month live online learning program featuring 110+ live sessions and 183+ hours of instruction. The curriculum is divided into 13 modules that guide you from AI basics through Python, mathematics and statistics, data preprocessing, machine learning fundamentals, supervised and unsupervised learning, model evaluation, deep learning and neural networks, NLP, computer vision, generative AI and LLM fundamentals, AI applications and deployment, and a 25-hour industry capstone. Every module includes practical exercises using real tools. Chennai learners attend the course completely live online, while classroom training is offered at Uncodemy's Delhi and Noida centres for those who can travel.
Who should join this course:
Eligibility: Any graduate from a technical or non-technical background can enroll. Programming knowledge is helpful but not required — Python training begins in Module 2. Basic mathematics and statistics comfort is beneficial and will be developed in Module 3. A laptop and stable internet connection are necessary for the practical components.
Pick a batch timing that works for you. Our live online batches follow IST schedules. Book a free demo class to get a feel for the teaching, or enroll in one of our upcoming weekend or weekday live batches — built for both working professionals and students, with flexible timings and practical training.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 07:30 PM – 08:30 PM | Mr. Irshad | 01Seat | |
| 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02Seats | |
| 10:30 AM – 11:30 AM | Mr. Irshad | 01Seat | |
| 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
8+ new batches start every month. Live online batches, IST timings. Seats are limited and updated daily.
The syllabus is organised into 13 modules covering 183+ hours. The order follows how AI skills build: foundations → Python → math/stats → data preprocessing → ML fundamentals → supervised/unsupervised learning → model evaluation → deep learning → NLP → computer vision → GenAI/LLM fundamentals → deployment → industry capstone. Each module includes practical exercises with real tools, and the program closes with hands-on AI projects and an industry capstone.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Artificial Intelligence Fundamentals | 10 | Python, Jupyter Notebook |
| 2 | Python for Artificial Intelligence | 15 | Python, Jupyter Notebook, Git/GitHub |
| 3 | Mathematics & Statistics for AI | 12 | Python, NumPy, SciPy |
| 4 | Data Preprocessing & Feature Engineering | 12 | Pandas, NumPy, Matplotlib, Seaborn |
| 5 | Machine Learning Fundamentals | 15 | Scikit-learn, Pandas |
| 6 | Supervised & Unsupervised Learning | 15 | Scikit-learn, Matplotlib |
| 7 | Model Evaluation & Optimization | 10 | Scikit-learn, Seaborn |
| 8 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras, PyTorch |
| 9 | Natural Language Processing (NLP) | 12 | NLTK, spaCy, Hugging Face |
| 10 | Computer Vision & Image AI | 12 | OpenCV, PyTorch, TensorFlow |
| 11 | Generative AI & LLM Fundamentals | 15 | OpenAI APIs, Hugging Face |
| 12 | AI Applications, APIs & Deployment | 15 | FastAPI, Docker, Git/GitHub |
| 13 | AI Projects & Industry Capstone | 25 | All tools |
| Total | 183 Hours | 15+ tools | |
Artificial Intelligence is the discipline of building computer systems that can learn from data, reason about it, and make predictions or decisions without being explicitly programmed for every scenario. Machine learning, deep learning, natural language processing, and computer vision are its core subfields. AI powers recommendation engines, voice assistants, fraud detection, medical imaging analysis, and the generative AI tools now embedded in everyday software.
What does an AI engineer do? On a typical day, an AI engineer prepares and engineers data features, trains and evaluates ML/DL models, builds NLP or computer vision pipelines, integrates generative AI/LLM capabilities into applications, and deploys models via APIs. The role sits at the intersection of software engineering, statistics, and domain knowledge — which is why employers weight both coding ability and conceptual understanding during interviews.
This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy is a career-oriented IT training institute run by Uncodemy Edutech Pvt. Ltd. With more than 14 years of experience delivering quality education, physical centres in Delhi and Noida, and live online classes reaching learners across India including Chennai, Uncodemy offers instructor-led training in cutting-edge technologies.
In this Artificial Intelligence program, participants build machine learning models, deep learning projects, NLP and computer vision pipelines, GenAI-integrated applications, and a 25-hour industry capstone project. The training covers the complete AI development lifecycle — from data preprocessing and feature engineering to model training, evaluation, optimization, and deployment via APIs.
Beyond training, Uncodemy offers instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it excludes — is set out in our career support policy, together with the eligibility conditions published before enrolment rather than after payment.
If you are still deciding on a direction, Uncodemy also runs LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Chennai and Tamil Nadu learners.
Portfolio/capstone project review:Your hands-on ML/DL/NLP/CV work and industry capstone are reviewed and refined into a portfolio an interview will find credible.
Resume & LinkedIn:We build your resume around AI/ML keywords and measurable outcomes, and align your LinkedIn profile to match.
Interview preparation:ML/DL concept questions, coding rounds, case-study discussions and AI-specific interview scenarios.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.
Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.
Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.
The people who actually teach this course
Uncodemy keeps teaching and independent academic review separate. Trainers deliver the live classes, while domain reviewers ensure the syllabus stays accurate and relevant without teaching the batch. Mr. Upendra Kumar Tiwari evaluates the technical content for this Data Science program, providing a distinct quality check alongside classroom delivery.
The Delhi classroom batches are taught by the same faculty who support the Noida and online formats. Prospective learners may request to observe part of a live session before making a decision.
Trainer and reviewer names, areas of expertise and professional backgrounds are shared openly by Uncodemy, so learners can review the people connected with the course before enrolling.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Many engineering colleges in and around Chennai now run B.E./B.Tech programmes in Artificial Intelligence and Data Science, and many more offer AI electives. Yet final-year students here often tell us the same thing: they know the theory names but have never taken a model from raw data to a working demo. This page is written for them and for early-career professionals in the city who want a structured route into machine learning, with honest notes on which Chennai sectors use AI, what first jobs look like and how the live online classes work.
University syllabi tend to cover algorithms on the blackboard and a few lab exercises on tidy datasets. Employers, meanwhile, ask about missing values, leakage between training and test data, choosing a metric for an imbalanced problem and putting a model behind an API. That practical middle layer is where most freshers struggle in interviews.
This course spends a large share of its time on that layer: data preprocessing and feature engineering, model evaluation and tuning, and deployment, before and after the deep learning modules. If you are already in an AI & DS branch, you will move quickly through the early theory and get more out of the labs. If you come from mechanical, ECE, B.Sc or B.Com, the early modules give you the base your degree did not.
Sectors and places are named to describe the market only. Uncodemy has no hiring tie-up with any Chennai company, hospital or institution.
| Profile | Typical first title | Indicative Chennai range |
|---|---|---|
| Fresher from a services drive | AI/ML trainee, associate data scientist | ₹3.5–6 LPA |
| Fresher with a strong deployed project | Junior ML engineer, ML analyst | ₹5–8 LPA |
| 2–4 years of hands-on ML | ML engineer, CV or NLP engineer | ₹8–16 LPA |
Indicative only, based on the general shape of public job listings rather than any survey. Chennai offers for the same profile are often a little below Bengaluru's, while rent away from OMR is usually lower too. Actual offers vary with employer, skills and interviews; Uncodemy does not promise a salary.
Chennai has a large workforce in analytics operations, back-office and knowledge-process roles: people who already clean data, reconcile reports and follow strict quality checks every day. That experience is closer to ML work than most of them realise.
Expect the first move to be into an analyst role rather than straight to ML engineer. It is still a real step towards modelling work.
Uncodemy teaches in person only at Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar). From Chennai you join a live online batch, taught by the same trainers, so you can study from Tambaram, Anna Nagar or a hostel room equally well.
The 13 modules run through Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI. Ask your questions during a free demo class before you pay.
Your course ends with a 25-hour industry capstone project. Choose a topic that lines up with the sector you want, and build it on public data only.
Classify public chest X-ray or skin-lesion images with a CNN, then write honestly about false negatives and why a doctor must stay in the loop.
Topic or sentiment classification on public Tamil text corpora, comparing a classical model with a multilingual transformer.
Defect detection on open surface-defect image sets, with an explanation of how lighting and camera angle affect accuracy.
Whatever you choose, show a baseline first, then a better model, then a small FastAPI service. A clear README in plain English matters as much as the accuracy figure.
Chennai freshers usually meet AI hiring in two ways: services-company campus or pooled drives, which test aptitude and Python before a short technical round, and off-campus applications to analytics firms and startups, which ask you to walk through a project in detail.
Use the Chennai machine learning interview questions and the Chennai data science questions for practice. They are practice sets, not past papers.
Uncodemy
An end-to-end AI project that builds a content-based and collaborative filtering recommendation engine using Python, Pandas and Scikit-learn. It includes data cleaning, feature engineering, similarity calculation and an interactive recommendation interface.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete machine learning project that detects fraudulent credit card transactions using classification algorithms. It covers data imbalance handling, feature selection, model training, evaluation metrics and real-time fraud prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A predictive analytics project that forecasts employee attrition using machine learning models. It includes exploratory data analysis, feature engineering, model building, hyperparameter tuning and actionable HR insights for reducing attrition.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An advanced agentic AI project that autonomously researches topics, gathers information from multiple sources, summarizes findings and generates structured research reports using large language models and tool calling.
Python
Jupyter Notebook
GitHub
SQL
Uncodemy
An intelligent AI-powered interview agent that conducts technical interviews, evaluates candidate responses in real time, provides feedback scores and generates detailed performance reports using natural language processing and LLMs.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An end-to-end regression project that predicts house prices using advanced machine learning techniques. It covers data preprocessing, feature engineering, model selection, evaluation and deployment-ready prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A comprehensive healthcare analytics project that explores patient data, disease trends, treatment outcomes and hospital performance using Python, SQL and advanced visualization techniques to generate actionable medical insights.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete end-to-end recommendation system project that combines collaborative filtering and content-based techniques to suggest personalized movies. Built with Python, Pandas and machine learning algorithms for accurate user preference matching.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A natural language processing project that classifies emails as spam or non-spam using TF-IDF vectorization and machine learning classifiers. It includes text preprocessing, feature extraction, model comparison and evaluation using accuracy, precision and recall.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A hands-on LLM engineering project covering large language model integration, prompt design, embedding-based retrieval and deployment through an API. It focuses on building production-ready LLM pipelines with evaluation and monitoring.
Python
LangChain
OpenAI API
GitHub
Uncodemy
A generative AI application that uses large language models and prompt engineering to deliver domain-specific conversational experiences. It includes vector search, context management and API-based deployment for real-world business use cases.
Python
OpenAI API
LangChain
GitHub
Uncodemy
An AI-powered customer support agent that handles user queries, retrieves answers from a knowledge base and escalates complex issues. Built with LLM APIs, prompt engineering and retrieval-augmented generation for accurate, context-aware responses.
Python
OpenAI API
LangChain
GitHub
Uncodemy
An AI-driven question-answering agent that responds to user queries using LLMs and retrieval-augmented generation. It includes document ingestion, vector search and prompt optimization to deliver accurate, grounded answers.
Python
OpenAI API
LangChain
GitHub
Uncodemy
A conversational shopping assistant powered by LLMs that helps users discover products, compare options and get personalized recommendations. Built with prompt engineering, vector search and API integration for a smooth e-commerce experience.
Python
OpenAI API
LangChain
GitHub
No. There is no Uncodemy centre in Chennai or anywhere in Tamil Nadu. Classrooms exist only in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar); Chennai learners join live online batches with the same trainers.
It is ₹24,500 + GST, which works out to ₹28,910 with GST. The price does not change by city, and EMI of ₹4,818 a month for 6 months is available.
About 5–6 months. You get 183+ hours of content and 110+ live sessions, organised in 13 modules that cover Python, maths, machine learning, deep learning, NLP, computer vision, generative AI, deployment and a 25-hour industry capstone project.
Partly, in the early theory. The value for you is in the hands-on parts: messy data, evaluation, deployment and a capstone you can defend. Many AI & DS students use it to build the portfolio their degree does not require.
Some health-tech and IT firms work on medical imaging and healthcare data, but fresher openings are few and competitive. A sound imaging project helps, and Uncodemy has no hiring tie-up with any hospital or health-tech company.
Start by applying in both. Chennai has steady services and analytics hiring, while Bengaluru has more startup and product roles. Many people take a first role in Chennai and move later with experience.
No prior Python or ML experience is needed: Python is taught from Module 2 and the maths and statistics you need are built up in Module 3. A graduate degree in any field is enough.
No. Uncodemy gives resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee). Whether you get an offer depends on your preparation, projects and interviews.
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