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Read More →Uncodemy offers Madurai learners a 5–6 month live online Artificial Intelligence course designed to build practical knowledge across major AI technologies. The program begins with Python and Machine Learning and moves into Deep Learning, Natural Language Processing, Computer Vision, Generative AI, and LLM concepts. There is currently no Uncodemy classroom centre in Madurai; students can attend the complete program online or travel to the Delhi or Noida centres for classroom training. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI starting from ₹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
Artificial Intelligence learners in Madurai can gain practical exposure to Python along with machine learning, deep learning, natural language processing, computer vision and generative AI through Uncodemy's training. Once their technical skills and career preparation are complete, eligible participants may apply for positions including AI Engineer, Machine Learning Engineer, Deep Learning Engineer and similar roles. Updated placement outcomes for Madurai learners can be checked at uncodemy.com/placement.
Artificial Intelligence enables computers and software to perform tasks that traditionally require human-like learning, pattern recognition, language understanding, or decision-making. Machine learning, deep learning, NLP, and computer vision form some of its major areas. AI is now applied across software products, including recommendation systems, conversational assistants, financial security tools, automated image interpretation, and generative AI applications.
What does an AI engineer do? An AI engineer designs and develops solutions that use artificial intelligence models. Day-to-day work may involve cleaning and preparing data, selecting features, training and evaluating models, creating language or image-processing pipelines, integrating LLM capabilities, and deploying trained models through software interfaces. Strong programming fundamentals and an understanding of AI concepts are both useful for this role.
While these three Uncodemy courses share some common AI concepts, they are designed around different skill requirements and specialisations. Use this comparison to understand the main differences.
| Aspect | Artificial Intelligence | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | Broad foundation across 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.
Designed as a comprehensive AI learning path, the 5–6 month Artificial Intelligence program provides Madurai learners with 110+ live sessions and more than 183 hours of guided learning. Its 13-module structure moves from the basics of AI into Python, mathematical and statistical concepts, data preprocessing, machine learning techniques, supervised and unsupervised learning, model assessment, deep learning and neural networks. The later stages introduce NLP, computer vision, generative AI, LLM fundamentals, application development and deployment, followed by a 25-hour industry capstone. Practical activities are included throughout the modules. Madurai participants attend the program through live online classes, with classroom options available at the Delhi and Noida centres.
Who should join this course:
Eligibility: Graduation in any discipline is acceptable, whether technical or non-technical. Coding knowledge can be beneficial but is not a compulsory prerequisite because Python is covered from Module 2. An understanding of basic mathematics and statistics is useful and is developed further during Module 3. Learners should have access to a laptop and a dependable internet connection for hands-on sessions.
Madurai learners can select from upcoming weekday and weekend live batches conducted online in IST. Whether you are studying or working, flexible batch schedules make it easier to fit the training into your day. Experience the teaching through a free demo class before choosing a batch and begin learning through hands-on sessions.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01Seat |
| 22Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| 26Oct | 10:30 AM – 11:30 AM | Mr. Irshad | 01Seat |
| 30Oct | 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Oct | 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 | |
After successfully working through the complete 13-module curriculum, assignments and the AI Projects & Industry Capstone, Madurai learners are awarded the Uncodemy Artificial Intelligence Program Certificate. The document captures the course name, duration, technologies covered and date of completion, with online verification available through certificate.uncodemy.com. It provides documented proof that the learner has completed the Uncodemy Artificial Intelligence program.
The certificate is supported by the practical work carried out during training. This includes projects across machine learning, deep learning, NLP and computer vision, along with data preparation exercises and a dedicated 25-hour AI Projects & Industry Capstone. The program provides practice with Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
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, operated by Uncodemy Edutech Pvt. Ltd., provides career-oriented IT training with more than 14 years of training experience. The institute has classroom centres in Delhi and Noida and also conducts live online sessions for learners across India, including students and professionals from Madurai.
Through the Artificial Intelligence program, learners develop skills across the AI development lifecycle. The training covers machine learning models, deep learning projects, NLP and computer vision pipelines, GenAI applications, data preprocessing, feature engineering, model evaluation and API-based deployment. A 25-hour industry capstone project adds a practical project component to the program.
The learning format combines instructor-led classes with assignments, hands-on projects, interview preparation and career support. Details of the available support are outlined in the career support policy, while the eligibility conditions are provided before enrolment rather than after payment.
If you are considering another AI-focused path, Uncodemy also offers LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Madurai 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
Teaching and independent syllabus review follow separate roles at Uncodemy. The instructors are responsible for conducting live classes, whereas domain reviewers independently examine the course material for accuracy and relevance. Mr. Upendra Kumar Tiwari serves as the technical reviewer for this Data Science program, adding another level of review beyond regular classroom teaching.
The faculty teaching the Delhi classroom format also support learners through the Noida and online modes. Before enrolling, prospective learners can request an opportunity to observe a section of a live session.
Details about the trainers and reviewers are shared openly by Uncodemy, including their professional backgrounds and areas of expertise, so learners can assess the people associated with the program beforehand.
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.
Build an AI-focused skill set with Uncodemy's Artificial Intelligence course for Madurai learners. The training moves from Python and machine learning fundamentals into deep learning, NLP, computer vision and generative AI through live online instruction. Practical labs, a 25-hour industry capstone and career preparation are included to connect learning with real project work.
| Role | Core Tools |
|---|---|
| AI Engineer | Python, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, Scikit-learn, Pandas, NumPy |
| Deep Learning Engineer | TensorFlow, Keras, PyTorch |
| Computer Vision Engineer | OpenCV, PyTorch, TensorFlow |
| NLP Engineer (Junior) | NLTK, spaCy, Hugging Face |
| Generative AI Engineer | OpenAI APIs, Hugging Face, LangChain |
| Role | Salary Range |
|---|---|
| Entry-Level AI Engineer | ₹4–8 LPA |
| Machine Learning Engineer | ₹6–12 LPA |
| AI/ML Engineer | ₹8–16 LPA |
| Deep Learning Engineer | ₹8–18 LPA |
| Generative AI Engineer | ₹8–18 LPA |
| Computer Vision Engineer | ₹7–16 LPA |
| Senior AI Engineer | ₹15–28 LPA |
| AI Solutions Architect | ₹20–35 LPA |
| Factor | This Program |
|---|---|
| Duration | 5–6 months |
| Learning hours | 183+ |
| Live sessions | 110+ |
| Tools | 15+ |
| Capstone | 25-hour Industry project |
| Career support | Dedicated Career & Placement Assistance |
| If you want... | Recommend |
|---|---|
| Broad AI/ML career transition covering ML, DL, NLP, CV and GenAI | This program |
| Already know GenAI/LLM basics, want ML/DL fundamentals too | This program |
| Narrow LLM application development only | Consider LLM Engineering course instead |
| Narrow retrieval-system specialisation | Consider RAG Engineering course instead |
Learners complete the program over a 5–6 month period. It contains 183+ hours of learning delivered across more than 110 live sessions, with weekday and weekend batch schedules available.
Prior experience is not mandatory. The learning path introduces Python from Module 2 and then builds the necessary mathematics and statistics foundation in Module 3. This makes the course accessible to graduates who are new to AI and machine learning.
Learners work with Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI as part of the 15-tool curriculum.
It does. The syllabus allocates 15 hours to Deep Learning & Neural Networks in Module 8, 12 hours to Natural Language Processing in Module 9, and another 12 hours to Computer Vision & Image AI in Module 10.
Module 13 is dedicated to the AI Projects & Industry Capstone and carries 25 hours. The project gives learners an opportunity to combine AI concepts learned during the program into an end-to-end practical solution.
Classes are conducted live rather than being a purely self-paced recorded course. More than 110 instructor-led sessions are included, and their recordings can be used later for revision.
The listed program fee is ₹24,500 before GST. After adding 18% GST, the total payable fee is ₹28,910. The fee is applicable across the program's available cities and modes.
Learners can explore EMI starting from ₹4,818 per month for a 6-month period. Financing eligibility and the exact repayment arrangement depend on the applicable payment option.
A demo session is available for prospective learners. It allows you to get familiar with the course delivery, trainer interaction and curriculum before making an enrolment decision.
Career support covers areas such as CV preparation, LinkedIn optimisation, portfolio review, interview practice, mock interviews and sharing of relevant opportunities through a network of 850+ companies. The assistance is not a promise of employment.
An indicative range for entry-level AI Engineer positions is around ₹4–8 LPA. Candidates still need to meet individual employer requirements, and outcomes can differ according to skills, projects, experience and market conditions.
Indicative market ranges are ₹4–8 LPA for Entry-Level AI Engineer, ₹6–12 LPA for Machine Learning Engineer, ₹8–16 LPA for AI/ML Engineer, ₹8–18 LPA for Deep Learning Engineer, ₹8–18 LPA for Generative AI Engineer, ₹7–16 LPA for Computer Vision Engineer, ₹15–28 LPA for Senior AI Engineer and ₹20–35 LPA for AI Solutions Architect. These are not fixed offers and can change with experience, employer, role and market conditions.
The course provides preparation relevant to AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer positions.
Eligibility includes graduates from technical or non-technical fields, professionals seeking an AI/ML career transition, aspiring AI engineers and people changing careers into artificial intelligence.
They are not guarantees. The information combines Uncodemy's internal records with publicly available review-platform information. Actual placement and salary results depend on individual learner factors, employers, locations and changing market conditions.
No. Madurai learners can take the Artificial Intelligence program through live online classes. Physical classroom training is available at the Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) centres for learners who can travel.
No. The certificate is a separate Uncodemy credential. It does not represent an affiliation, endorsement or certification from OpenAI, Google, Meta or another technology vendor whose tools may be included in the syllabus.
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