Madurai students can pursue Uncodemy's Agentic AI course, taught by instructors over three to four months. The curriculum includes LLM fundamentals, tool and function calling, AI agent architecture, and hands-on modules on LangChain, LangGraph, multi-agent systems, and agent deployment. Live online sessions cater to Madurai learners, while classroom attendance is offered at the Delhi and Noida centres for travellers. The fee is ₹19,500 + GST, totalling ₹23,010.
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5/5Career and placement assistance through our growing network of companies, recruiters and hiring organizations across India.
6 × ₹3,835 = ₹23,010 — matches the ₹23,010 total exactly.
Learners who complete this program leave with working skills in AI agent development, tool calling, workflows, LLM applications and automation, supported by a portfolio of projects and an industry capstone. These skills align with roles such as AI Agent Developer, Agentic AI Engineer and AI Automation Engineer.
Placement details for Madurai learners are revised routinely — see verified outcomes at uncodemy.com/placement.
Placed at: Allsoft Solutions
Placed at: SmartStudy
Placed at: Allsoft Solutions
Placed at: SmartStudy
Agentic AI refers to AI systems built around large language models that can plan tasks, reason through steps, call tools or functions, and perform multiple actions toward a defined goal. Unlike a single-turn chatbot that essentially responds to a prompt, an agentic system can coordinate actions, integrate external information, maintain context, and execute a workflow across several stages.
An Agentic AI engineer is focused on designing and developing systems that can complete multi-step tasks with controlled autonomy. Daily work can include designing agent architectures, implementing tool and function calling, managing memory and context, creating multi-agent workflows with LangChain or LangGraph, evaluating responses, applying security and guardrails, and deploying reliable agents into production environments.
Here is how Uncodemy's Agentic AI program sits next to its two related specialisations.
| Aspect | Agentic AI | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | Building autonomous agents with tool calling, workflows and multi-agent systems | 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 | 3–4 months | 5–6 months | 5–6 months |
This Agentic AI program is designed as a three-to-four-month instructor-led path with 100+ live sessions, 160+ hours of learning and 13 modules. Learners proceed from agent fundamentals and Python to LLM fundamentals, API integration, prompt engineering, tool and function calling, agent architecture, memory and context management, RAG-augmented agents, LangChain and LangGraph, multi-agent systems, evaluation, security, guardrails, deployment and the final capstone. Real tools and projects are included, delivered live online for Madurai learners, with classroom learning still available at Uncodemy's Delhi and Noida centres.
Programming fundamentals are helpful but the program builds the required Python foundation from Module 2 onward. Basic LLM or API familiarity is useful but not mandatory for understanding the course progression because these concepts are developed in Module 3. Learners should have a laptop and stable internet connection for live online classes, coding exercises, projects and assignments.
Pick the weekday or weekend track that suits your schedule; seats are confirmed on enrolment.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16 Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01 Seat |
| 22 Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02 Seat |
| 26 Oct | 10:30 AM – 11:30 AM | Mr. Irshad | 01 Seat |
| 28 Oct | 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02 Seat |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Oct | 03:00 PM – 05:00 PM | Mr. Irshad | 02 Seat |
Illustrative example only — your exact weekday or weekend timetable (IST) is shared when you enrol.
The Agentic AI program is delivered as an instructor-led path spanning three to four months, comprising 100+ live sessions, 160+ hours of learning and 13 modules. Learners advance from agent fundamentals and Python into LLM fundamentals, API integration, prompt engineering, tool and function calling, agent architecture, memory and context management, RAG-augmented agents, LangChain and LangGraph, multi-agent systems, evaluation, security, guardrails, deployment and the final capstone. Hands-on tools and projects are part of the curriculum, taught live online for Madurai learners, while classroom learning remains open at Uncodemy's Delhi and Noida centres.
| Module | Hours | Tools |
|---|---|---|
| 1. Agentic AI Fundamentals | 10 | Jupyter Notebook |
| 2. Python for Agentic AI | 15 | Python, Jupyter Notebook |
| 3. LLM Fundamentals | 12 | OpenAI APIs, Hugging Face |
| 4. API Integration | 12 | OpenAI APIs, Hugging Face, Python Requests |
| 5. Tool & Function Calling | 15 | OpenAI APIs, Python |
| 6. Agent Architecture | 15 | LangChain, Python |
| 7. Memory & Context Management | 12 | LangChain, Vector Stores |
| 8. LangChain & LangGraph | 15 | LangChain, LangGraph |
| 9. Multi-Agent Systems | 12 | LangGraph, LangChain |
| 10. Agent Evaluation | 10 | Python, LangChain |
| 11. Security & Guardrails | 10 | Python, LangChain |
| 12. Agent Deployment | 15 | FastAPI, Git/GitHub |
| 13. Agentic AI Projects & Capstone | 25 | Full stack of course tools |
| Total | 160+ Hours | |
Each project comes straight from a curriculum module, ending with the Agentic AI capstone.
Curriculum & Technical Reviewer · AI Trainer
8+ years across AI, ML and analytics delivery. Reviews and signs off the curriculum on this page so content stays technically accurate and current.
The curriculum has been designed and technically reviewed by expert industry professional Mr. Irshad Khan, with additional review by Mr. Upendra Kumar Tiwari.
The Uncodemy Agentic AI Program Certificate is granted after successful completion of the Uncodemy Agentic AI program to learners. The certificate lists the program name, duration, tools covered and completion date, together with a verification reference where the applicable verification mechanism is usable.
Connected with the practical learning completed during the program — hands-on agent-building projects, multi-agent system workflows and the Agentic AI capstone project — is the certification. Documented evidence of completing the prescribed training and practical work is thereby supplied to learners.
The Agentic AI course for Madurai learners provided by Uncodemy includes a verified Uncodemy Agentic AI Program Certificate that can be verified online through the official Uncodemy Certificate Portal.
Uncodemy Certificate VerificationOnline Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Uncodemy Edutech Pvt. Ltd. is a career-focused IT training institute offering structured technology education. Drawing on 14+ years of training experience, Uncodemy runs classroom programs via its Delhi and Noida centres, while live online classes let learners across India, including Madurai, take part remotely.
In this Agentic AI program, learners work toward AI agents capable of tool calling, multi-agent workflows and RAG-augmented interactions. The learning path additionally includes production-oriented agent deployment and concludes with an Agentic AI capstone project that pulls the major concepts together in practical work.
Instructor-led sessions combine with assignments, practical projects, interview preparation and career support. Before enrolment, career-support processes, applicable policies and eligibility conditions are explained so learners understand what assistance is included rather than treating it as a guarantee of employment.
Other courses for Madurai learners: Artificial Intelligence, LLM Engineering, RAG Engineering, AI Security, and Generative AI & Agentic AI courses for Madurai learners
The people who actually teach this course
Every live session is delivered by Uncodemy's trainer team. The institute engages 30+ Industry Trainers & Mentors bringing 10+ Years of Corporate Training Experience* on average, ensuring lessons mirror how AI is practised in real companies.
Uncodemy keeps two roles separate: trainers deliver the sessions, and domain reviewers confirm that the curriculum is technically accurate and current. For this Artificial Intelligence program, Mr. Irshad reviews the curriculum and technical content, with additional review by Mr. Upendra Kumar Tiwari, providing learners an independent check on what is taught.
Every trainer and reviewer is published by name with a profile link, enabling you to check their background before you join.
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.
Join a live online batch from anywhere in Madurai and learn LLM fundamentals, tool calling, LangChain, LangGraph and multi-agent systems across 3–4 months. Talk to our counsellors about batch timings, EMI options and career support before you commit.
A step-by-step view of the role-wise salary ranges on this page, from first AI role to architect.
Madurai offers growing scope for AI engineers, with a mix of IT services, product companies and emerging technology teams. The city's established educational base and proximity to southern Tamil Nadu's industrial corridor create a regional tech environment that is steadily adding AI and automation roles.
Technology hiring is concentrated around Thirunagar, Anna Nagar and K.K. Nagar, where services firms, global capability centres and product teams build data and AI practices. Alongside IT, Madurai's growing fintech, e-commerce and healthcare-technology sectors create demand for AI in areas such as fraud detection, recommendations, document automation and clinical data analysis.
When hiring freshers and career switchers, interviewers usually weigh three things above all. First, a firm grasp of AI and agent fundamentals — how LLMs, tool calling and workflows fit together. Second, performance in coding rounds, typically Python-based problem solving and API integration. Third, the depth of your project portfolio: candidates who can explain why they chose an agent architecture, how they measured results and how they deployed an agent tend to stand out. This course is structured around exactly these areas, with live sessions, graded projects and a deployed capstone.
The broad scope of this program means you can apply for a range of entry-level Agentic AI roles rather than a single job title. Because the curriculum covers agent architecture, tool calling, multi-agent systems and deployment, you can match your applications to the kind of work you enjoy most and point to a relevant project for each role.
| Role | Core Tools |
|---|---|
| AI Agent Developer | Python, LangChain, LangGraph, OpenAI APIs |
| Agentic AI Engineer | LangChain, LangGraph, Python, FastAPI |
| AI Automation Engineer | Python, APIs, LangChain, Automation tools |
| LLM Application Developer | OpenAI APIs, Hugging Face, LangChain |
| RAG Engineer (Junior) | LangChain, Vector Stores, Python |
| AI Solutions Engineer | Python, FastAPI, LangGraph, Git/GitHub |
Over two to four years, growth usually comes from depth and ownership. Engineers who start with agent building often move into owning complete agentic pipelines, from design to deployment and monitoring. Many then specialise in multi-agent orchestration, evaluation or security, and progress towards senior AI engineer roles. With broader system design experience, some later move into solution architecture or technical leadership positions.
AI salaries in Madurai depend heavily on the role you target, your practical skills and the type of employer. IT services companies, product firms and tech startups all hire AI talent, but they structure pay differently. The ranges below are the same indicative market ranges Uncodemy uses across its course pages; they show how compensation typically widens as responsibility moves from agent building to system design.
| 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 |
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026. These ranges are compiled by comparing publicly reported salary data for each role with internal placement information, and they are reviewed periodically so that they stay broadly in line with the market. They describe typical bands rather than individual offers. Actual packages in Madurai depend on the employer's size and sector, the interview performance of the candidate, prior experience and the specific responsibilities of the role, so treat the table as a planning guide.
AI demand in Madurai spans several industries, and Uncodemy's network of 850+ hiring partners reaches across many of them. The sectors below are where Madurai-based AI skills are most commonly applied today:
Because every sector relies on the same core foundation of LLMs, tools and agentic workflows, a broad Agentic AI program lets you apply across industries instead of committing to one early in your career.
Becoming an Agentic AI engineer is a sequence of skills, each building on the previous one. The seven steps below follow the order of this program, so you always know what comes next and why it matters.
Timeline: 3–4 months of consistent study, live sessions and project work is typically enough to become interview-ready for entry-level Agentic AI roles.
Before choosing an AI course, compare the facts that affect your outcome: duration, total learning time, live teaching, tool coverage, project depth and support after training. The table sets out these factors for this program so you can compare them with any alternative.
| Factor | This Program |
|---|---|
| Duration | 3–4 months |
| Learning hours | 160+ hours |
| Live sessions | 100+ |
| Tools | 15+ |
| Capstone | 25-hour Agentic AI project |
| Career support | Dedicated Career & Placement Assistance |
Within Uncodemy's own catalogue, this Agentic AI course is the most specialised program for building autonomous agents. The Artificial Intelligence course covers broader ML, DL, NLP and vision foundations, LLM Engineering focuses narrowly on LLM application development, and RAG Engineering specialises in retrieval-grounded systems. If you already know you want to build agents, this program is the direct path. If you are still exploring AI foundations, the broader AI course may suit you first.
Uncodemy does not have a classroom in Madurai, so Madurai learners join this Agentic AI program fully live online. This is not a reduced version of the course. You attend the same batches, learn from the same trainers and follow the same 13-module curriculum as learners in Uncodemy's classroom programs. Sessions run in real time, so you can ask questions, share your screen for debugging help and discuss agent projects with the trainer while the class is in progress.
Studying online also removes daily travel across the city, which matters for working professionals commuting to Thirunagar, Anna Nagar or K.K. Nagar. You can pick a weekday or weekend batch around your job and revise with session recordings.
If you would rather learn in a physical classroom and are able to travel, in-person training remains available at Uncodemy's Delhi and Noida centres. The fee and curriculum are the same in both modes.
| If you want... | Recommend |
|---|---|
| A direct path to building AI agents and automation | This program |
| To add agentic capabilities to your existing LLM skills | This program |
| Broad ML/DL foundations before specialising | Consider the Artificial Intelligence course |
| Narrow LLM application development only | Consider the LLM Engineering course |
| A narrow retrieval-system specialisation | Consider the RAG Engineering course |
Madurai learners complete this Artificial Intelligence course within 5–6 months. It carries 110+ live online sessions spread across 13 modules and finishes with a 25-hour industry capstone. Weekday and weekend batches are both open in Madurai, letting you choose a pace that suits your work or study schedule.
Madurai participants do not need prior machine learning experience, and Python begins from Module 2. Familiarity with programming basics plus comfort in basic maths and statistics help Madurai learners progress faster; Module 3 builds the mathematics and statistics required.
Madurai learners study 15 tools: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI. Each tool is applied through hands-on assignments and projects rather than being only demonstrated.
Yes. Madurai learners find Deep Learning & Neural Networks in Module 8, Natural Language Processing (NLP) in Module 9, and Computer Vision & Image AI in Module 10. Each module includes practical work using TensorFlow, PyTorch, Hugging Face and OpenCV.
Madurai learners take on Module 13, AI Projects & Industry Capstone, a 25-hour project. You scope an industry-style problem, prepare data, build and evaluate a model, deploy it via FastAPI and document it on GitHub as a portfolio piece you can discuss in interviews.
For Madurai learners, sessions run live. The program delivers 110+ instructor-led live sessions where you can ask questions in real time, and recordings are provided so you can revise topics or catch up on a session you missed.
Madurai learners pay ₹24,500 + 18% GST, bringing the total to ₹28,910. The same fee holds across all modes and cities, whether you learn live online from Madurai or join a classroom at Delhi or Noida, with no hidden charges.
Yes, Madurai learners can begin EMI from ₹4,818/month for 6 months.* This splits the ₹28,910 total into monthly instalments. *EMI amount, tenure and eligibility may vary depending on the applicable payment or financing option.
Madurai learners may request a demo by submitting the enquiry form or calling our counsellors. Demo availability depends on the current batch schedule, and the team will share upcoming slots so you can sample the live teaching style before enrolling.
Yes, Madurai learners receive Dedicated Career & Placement Assistance. It covers resume and LinkedIn guidance, mock interviews and opportunity sharing through a hiring network of 850+ companies. Assistance does not guarantee employment; outcomes depend on your skills and interview performance.
The course prepares Madurai learners to apply for entry-level AI Engineer roles, which carry an indicative range of ₹4–8 LPA. Getting hired depends on your projects, interview performance and market conditions, and Uncodemy does not guarantee any specific role or salary.
In Madurai, indicative ranges run from ₹4–8 LPA for Entry-Level AI Engineers to ₹15–28 LPA for Senior AI Engineers and ₹20–35 LPA for AI Solutions Architects. These are market ranges, not guaranteed outcomes; actual offers vary by role, skills, experience, employer and market conditions.
Madurai learners can apply for AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer roles. The broad curriculum lets you choose the direction that best matches your projects and interests.
Madurai learners from any discipline qualify — graduates, working professionals, aspiring AI engineers and career changers. You need a laptop and a stable internet connection; programming fundamentals and basic maths comfort are helpful but are built up during the course.
No. For Madurai learners, salary ranges are indicative market figures, placement support does not guarantee employment, and review counts reflect publicly available platform information that may change over time. They are shared for transparency to help you make an informed decision.
No. Madurai learners join the course live online. Uncodemy's classroom centres are in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1), and anyone able to travel can choose in-person training at either location.
No. For Madurai learners, it is an independent Uncodemy certificate, verifiable at certificate.uncodemy.com. Tools from these companies are taught in the course, but the certificate is not a vendor credential and implies no partnership or endorsement.
The Agentic AI course is delivered fully live online to learners in Madurai, so no travel is needed to attend. If you would like to visit Uncodemy in person or prefer classroom training, our two physical training centres are located in Delhi and Noida.
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