Uncodemy's Agentic AI offering reaches Chhatrapati Sambhajinagar as a mentored course spanning roughly three to four months, guided throughout by industry practitioners. Learners there gain grounding in LLM fundamentals, tool and function calling, plus AI agent architecture, alongside applied exposure to LangChain, LangGraph, multi-agent systems and agent deployment. Enrolled candidates from Chhatrapati Sambhajinagar participate through live online classrooms, while physical attendance can be arranged at Uncodemy's Delhi or Noida premises. Admission is priced at ₹19,500 exclusive of GST, summing to ₹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.
Graduates of this program carry practical skills in AI agent development, tool calling, workflows, LLM applications and automation, backed by a portfolio of projects and an industry capstone. Such capabilities fit roles including AI Agent Developer, Agentic AI Engineer and AI Automation Engineer.
Placement statistics for Chhatrapati Sambhajinagar candidates are refreshed on a rolling basis — see verified outcomes at uncodemy.com/placement.
Placed at: Allsoft Solutions
Placed at: SmartStudy
Placed at: Allsoft Solutions
Placed at: SmartStudy
Agentic AI stands for a category of AI frameworks assembled over large language models that are equipped to design courses of action, reason across successive steps, invoke tools or functions, and take a series of actions aimed at a designated target. Distinct from a chatbot that merely answers a single prompt, an agentic framework can synchronise actions, retrieve outside data, preserve conversational context, and carry out a workflow spread across multiple phases.
An Agentic AI engineer occupies a role centred on designing and developing frameworks capable of handling multi-step tasks under managed autonomy. Typical responsibilities may span laying out agent architectures, coding tool and function calling, overseeing memory and context, assembling multi-agent workflows with LangChain or LangGraph, assessing responses, enforcing security and guardrails, and launching dependable agents into production systems.
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 |
The Agentic AI curriculum unfolds across a three-to-four-month instructor-facilitated journey comprising 100+ live sessions, 160+ learning hours and 13 modules. Participants move from agent fundamentals and Python onward 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 concluding capstone. Practical tools and projects feature throughout, conducted live online for Chhatrapati Sambhajinagar participants, with classroom delivery continuing to be offered at Uncodemy's Delhi and Noida locations.
Familiarity with programming basics lends an edge, though the course lays the necessary Python groundwork starting from Module 2. Comfort with elementary LLM ideas or APIs is advantageous but optional for tracking the curriculum, given that these subjects are covered from Module 3. A laptop plus steady internet service is essential for live online lectures, coding practice, 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 set out as an instructor-led learning path of three to four months, with 100+ live sessions, 160+ hours of learning and 13 modules. Learners travel 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. Practical tools and projects are provided, taught live online for Chhatrapati Sambhajinagar 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.
On completion of the Uncodemy Agentic AI program, learners are issued the Uncodemy Agentic AI Program Certificate. This document carries the program's name, duration, tools addressed and completion date, along with a verification reference where the applicable verification mechanism is accessible.
The certification sits alongside the practical training accomplished during the program — hands-on agent-construction projects, multi-agent system workflows and the Agentic AI capstone project. It furnishes learners with formal evidence of having finished the required training and practical tasks.
The Agentic AI course for Chhatrapati Sambhajinagar 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. functions as a career-oriented IT training establishment delivering structured technology instruction. Backed by more than 14 years in the training field, it runs classroom programs at its Delhi and Noida locations, and its live online classes allow learners throughout India — Chhatrapati Sambhajinagar included — to attend from afar.
Under this Agentic AI program, learners pursue building AI agents that can manage tool calling, multi-agent workflows and RAG-augmented interactions. The learning journey additionally encompasses production-oriented agent deployment and closes with an Agentic AI capstone project that weaves the principal concepts into practical, hands-on work.
Sessions conducted by instructors are combined with assignments, practical projects, interview preparation and career support. Career-support methods, relevant policies and eligibility criteria are disclosed prior to enrolment, so learners appreciate what assistance is provided without construing it as a promise of employment.
Other courses for Chhatrapati Sambhajinagar learners: Artificial Intelligence, LLM Engineering, RAG Engineering, AI Security, and Generative AI & Agentic AI courses for Chhatrapati Sambhajinagar learners
The people who actually teach this course
Uncodemy's trainer group handles every live session. The institute engages with 30+ Industry Trainers & Mentors possessing 10+ Years of Corporate Training Experience* on average, making sure lessons mirror the way AI is practised inside real organisations.
Two functions remain separate at Uncodemy: trainers conduct sessions, while domain reviewers confirm the curriculum is technically precise and up to date. For this Artificial Intelligence program, the curriculum and technical material are reviewed by Mr. Irshad, with supplementary review by Mr. Upendra Kumar Tiwari, providing learners with an independent verification of what is taught.
So that learners may examine credentials before joining, every trainer and reviewer is listed by name along with a profile link.
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 Chhatrapati Sambhajinagar 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.
Chhatrapati Sambhajinagar is steadily carving out room for AI specialists, as the city pairs a mature education and manufacturing legacy with a rising technology and services sector. Both threads are gradually folding AI agents, tool-calling routines and automation into their offerings and internal workflows.
Technology hiring clusters around CIDCO, Cidco N-1 and Jalna Road, where services firms, capability centres and product companies build data and AI practices. Beside IT, Chhatrapati Sambhajinagar's expanding fintech, e-commerce and healthcare-technology industries generate demand for AI in areas like fraud control, recommendation engines, document processing and clinical data analysis.
While selecting freshers and career switchers, interviewers generally prioritise three areas. First, firm grounding in AI and agent concepts — how LLMs, tool calling and workflows intersect. Second, coding-round performance, typically Python-based problem solving and API integration. Third, portfolio substance: applicants who can justify their agent architecture choices, describe how they measured success and explain how they shipped an agent tend to rise above the rest. This program is built around precisely those pillars, with live sessions, graded projects and a deployed capstone.
The scope of this program is deliberately broad, enabling you to target a spectrum of entry-level Agentic AI positions rather than a single title. Since the curriculum spans agent architecture, tool calling, multi-agent systems and deployment, you can align your applications with the work you enjoy most and cite a matching project for each opening.
| 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 |
Across two to four years, progression usually stems from depth and ownership. Engineers who begin with agent construction often graduate to running entire agentic pipelines, spanning design through deployment and monitoring. Many subsequently specialise in multi-agent orchestration, evaluation or security, and move into senior AI engineer roles. With wider system design exposure, some later transition into solution architecture or technical leadership.
AI compensation in Chhatrapati Sambhajinagar depends significantly on the role you target, your hands-on capabilities and the kind of employer you join. IT services firms, product organisations and tech startups all recruit AI talent, yet each structures pay in its own way. The bands shown below mirror the indicative market ranges Uncodemy publishes across its course pages; they illustrate how remuneration typically widens as responsibility shifts from agent building toward 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 consulted: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: October 2026. These bands are assembled by cross-checking publicly reported salary data for each role against internal placement information, and they are refreshed periodically so they stay broadly aligned with market reality. They describe typical bands rather than specific offers. Actual packages in Chhatrapati Sambhajinagar hinge on the employer's size and sector, the candidate's interview performance, prior experience and the exact duties attached to the role, so treat the table as a planning aid.
Agentic AI demand in Chhatrapati Sambhajinagar reaches across a wide range of industries, and Uncodemy's network of 850+ hiring partners covers many of them. The sectors listed below are where Chhatrapati Sambhajinagar-based Agentic AI skills are most commonly put to use 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 committing to an Agentic AI course, weigh the facts that shape your outcome: duration, total learning time, live teaching, tool coverage, project depth and post-training support. The table lays out these factors for this program so you can compare them against 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 run a classroom in Chhatrapati Sambhajinagar, so learners here take the Agentic AI program entirely live online. This is not a slimmed-down version of the course. You join 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 raise questions, share your screen for debugging help and discuss agent workflows with the trainer while the class is going on.
Studying online also removes daily travel across the city, which matters for working professionals commuting to CIDCO, Cidco N-1 or Jalna Road. 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 |
The Agentic AI training spans 3–4 months for Chhatrapati Sambhajinagar candidates. It delivers 100+ live online sessions dispersed across 13 modules and finishes with a 20-hour industry capstone project. Weekday and weekend batches are both provided in Chhatrapati Sambhajinagar, giving you space to select a pace that works with your job or studies.
Chhatrapati Sambhajinagar candidates do not require prior agentic AI exposure, since Python teaching begins at Module 2. If you already hold programming basics and know a little about LLMs or APIs, you can travel through the material more swiftly; Module 3 delivers the LLM fundamentals you need.
Chhatrapati Sambhajinagar candidates work with over 10 tools: Python, LangChain, LangGraph, OpenAI APIs, Hugging Face, FastAPI, vector databases, Jupyter Notebook, Git/GitHub and REST APIs. Each tool is exercised inside practical assignments and projects, rather than just being shown in a demo.
Yes. Chhatrapati Sambhajinagar candidates study LangChain and LangGraph in Module 10, covering stateful agent graphs and conditional routing, and multi-agent systems in Module 11, which covers supervisor and worker patterns, agent-to-agent communication and shared state coordination.
In Module 13 (Deployment & Agentic AI Capstone), Chhatrapati Sambhajinagar candidates take up a 20-hour project. You identify a realistic industry problem, plan and build an agentic system, add security and guardrails, deploy it through FastAPI, and publish documentation on GitHub as a portfolio asset for interviews.
For Chhatrapati Sambhajinagar candidates, classes are held live. The course delivers 100+ instructor-led live sessions where queries can be raised immediately, and recordings are provided so you can revisit topics or catch up on a class you missed.
Chhatrapati Sambhajinagar candidates pay ₹19,500 plus 18% GST, totalling ₹23,010. The fee stays identical across all modes and cities — whether you learn live online from Chhatrapati Sambhajinagar or in a classroom at Delhi or Noida — and no additional charges apply.
Yes, EMI is available to Chhatrapati Sambhajinagar candidates from ₹3,835/month over 6 months*, distributing the ₹23,010 total across instalments. *EMI amount, tenure and eligibility can differ based on the specific payment or financing option chosen.
Chhatrapati Sambhajinagar candidates can arrange a demo session by submitting the enquiry form or speaking to our counsellors. Demo availability depends on the current batch schedule, and the team will share upcoming slots so you can sample the live teaching format before enrolling.
Yes, Chhatrapati Sambhajinagar candidates receive Dedicated Career & Placement Assistance covering resume and LinkedIn support, mock interviews and job openings shared via a hiring network of 850+ companies. Assistance does not guarantee a job; outcomes depend on your skills and interview results.
This program prepares Chhatrapati Sambhajinagar candidates to apply for entry-level Agentic AI Engineer roles with an indicative range of ₹4–8 LPA. Hiring depends on your project portfolio, interview performance and market conditions, and Uncodemy does not guarantee any specific role or salary.
In Chhatrapati Sambhajinagar, indicative ranges run from ₹4–8 LPA for Entry-Level Agentic AI Engineers to ₹15–28 LPA for Senior Agentic AI Engineers, and ₹20–35 LPA for Agentic AI Solutions Architects. These are market ranges rather than guarantees; actual offers depend on role, skills, experience, employer and market conditions.
Chhatrapati Sambhajinagar candidates can pursue roles such as AI Agent Developer, Agentic AI Engineer, AI Automation Engineer, LLM Application Developer, Multi-Agent Systems Engineer and Agentic AI Solutions Engineer. The focused curriculum helps you pick the direction that best aligns with your project work and interests.
Chhatrapati Sambhajinagar candidates from any academic stream may join — graduates, working professionals, aspiring AI engineers and career switchers. All you need is a laptop and reliable internet access; programming foundations and basic LLM familiarity help but are developed during the course.
No. For Chhatrapati Sambhajinagar candidates, salary ranges are indicative market figures, placement assistance does not ensure employment, and review counts reflect publicly available platform data that may change. They are shared transparently to help you make an informed decision.
No. Chhatrapati Sambhajinagar candidates attend the course live online. Uncodemy's physical centres are located in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1); anyone able to travel can opt for in-person training at either location.
No. For Chhatrapati Sambhajinagar candidates, this is an independent Uncodemy certificate, verifiable at certificate.uncodemy.com. Tools from these companies are covered 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 Chhatrapati Sambhajinagar, 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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