Uncodemy's Agentic AI course in Chandigarh is a 3–4 month, instructor-led program covering LLM fundamentals, tool and function calling, AI agent architecture, LangChain, LangGraph, multi-agent systems and agent deployment. Sessions are delivered live online to Chandigarh learners, because Uncodemy does not run a physical centre in Chandigarh; anyone able to travel can choose classroom training at our Delhi or Noida centre. The program fee is ₹19,500 + GST Which Total ₹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 and function calling, multi-agent 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 records for Chandigarh learners are updated regularly — view verified outcomes at uncodemy.com/placement.
Placed at: Allsoft Solutions
Placed at: SmartStudy
Placed at: Allsoft Solutions
Placed at: SmartStudy
Agentic AI is defined as AI systems assembled around large language models that can plan tasks, reason through steps, call tools or functions, and carry out multiple actions toward a defined goal. Unlike a single-turn chatbot that mostly responds to a prompt, an agentic system can coordinate actions, use external information, maintain context, and execute a workflow across many stages.
An Agentic AI engineer is occupied with designing and developing systems that can complete multi-step tasks with controlled autonomy. The daily workload 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 dependable 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 |
Across 3–4 months and 100+ live sessions, this program works through 13 modules and an indicative 160+ hours of learning. You begin with agent fundamentals and Python, move into LLM fundamentals, API integration, prompt engineering, tool and function calling, then agent architecture, memory and context management, RAG-augmented agents, LangChain and LangGraph, multi-agent systems, evaluation, security, guardrails and deployment, and finish with the Agentic AI capstone. Practical work uses tools such as LangChain, LangGraph, OpenAI APIs, Hugging Face and FastAPI. Chandigarh learners attend every session live online, while those who can travel may choose classroom training at Uncodemy's Delhi or Noida centre.
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 program is arranged into 13 modules with an indicative 160+ hours of learning. Skills build in sequence: agent fundamentals, Python, 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 finally an Agentic AI capstone that ties everything together.
| 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.
After successful completion of the Uncodemy Agentic AI program, learners obtain the Uncodemy Agentic AI Program Certificate. The certificate mentions the program name, duration, tools covered and completion date, along with a verification reference where the applicable verification mechanism is usable.
The certification is joined with the practical learning completed during the program, spanning hands-on agent-building projects, multi-agent system workflows and the Agentic AI capstone project. This delivers learners documented evidence of completing the prescribed training and practical work.
The Agentic AI course for Chandigarh 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. operates as a career-focused IT training institute providing structured technology education. Its 14+ years of training experience support classroom programs via Delhi and Noida centres, while live online classes enable learners across India, including Chandigarh, to participate remotely.
Learners in this Agentic AI program work toward building AI agents that can handle tool calling, multi-agent workflows and RAG-augmented interactions. The learning path also covers production-oriented agent deployment and concludes with an Agentic AI capstone project that unites the major concepts in practical work.
The program blends instructor-led sessions with assignments, practical projects, interview preparation and career support. Career-support processes, applicable policies and eligibility conditions are shared before enrolment, helping learners see what assistance is included without treating it as a guarantee of employment.
Other courses for Chandigarh learners: Artificial Intelligence, LLM Engineering, RAG Engineering, AI Security, and Generative AI & Agentic AI courses for Chandigarh learners
The people who actually teach this course
Every live session is taken by Uncodemy's trainer team. The institute works with 30+ Industry Trainers & Mentors who bring 10+ Years of Corporate Training Experience* on average, so lessons reflect how AI is practised in real companies.
Uncodemy separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this Agentic AI program, the technical content is reviewed by Mr. Irshad, with additional review by Mr. Upendra Kumar Tiwari.
Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol rather than after.
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 Chandigarh 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.
Chandigarh offers growing scope for AI engineers, with a mix of IT services, product companies and emerging technology teams. The city's planned infrastructure and proximity to Mohali and Panchkula create a regional tech corridor that is steadily adding AI and automation roles.
Technology hiring is concentrated around the IT Park, Industrial Area and Mohali tech clusters, where services firms, global capability centres and product teams build data and AI practices. Alongside IT, Chandigarh'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 Chandigarh 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 Chandigarh 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 Chandigarh spans several industries, and Uncodemy's network of 850+ hiring partners reaches across many of them. The sectors below are where Chandigarh-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 Chandigarh, so Chandigarh 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 IT Park, Industrial Area or Mohali. 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 |
Chandigarh learners complete this Agentic AI course in 3–4 months. The timeline holds 100+ live online sessions across 13 modules and concludes with a 25-hour capstone. Weekday and weekend batches are both offered, letting you pick a pace that fits your work or study routine.
Chandigarh participants do not require prior LLM experience, and Python is taught from Module 2. Programming fundamentals with basic API familiarity help learners advance faster; Module 3 builds the LLM and API knowledge required.
Chandigarh learners work with 15 tools including Python, LangChain, LangGraph, OpenAI APIs, Hugging Face, FastAPI, vector stores and Git/GitHub. Each tool is applied in practical assignments and projects rather than being shown only in theory.
Yes. Module 7 covers RAG-augmented agents, Module 9 covers multi-agent systems, Module 11 covers security and guardrails, and Module 12 covers deployment. Each module includes practical work using LangChain, LangGraph, OpenAI APIs and FastAPI.
Chandigarh learners take up Module 13, Agentic AI Projects & Capstone, a 25-hour project. You scope an industry-style problem, design an agentic architecture, implement tools and workflows, deploy it through FastAPI and document it on GitHub as a portfolio piece you can discuss in interviews.
For Chandigarh learners, sessions are live. The program includes 100+ instructor-led live sessions where you can raise questions instantly, and recordings are provided so you can revise topics or catch up on a session you could not attend.
Chandigarh learners pay ₹19,500 + 18% GST, totalling ₹23,010. The same fee applies in all modes and cities, whether you learn live online from Chandigarh or in a classroom at Delhi or Noida, and there are no hidden charges.
Yes, Chandigarh learners can start EMI from ₹3,835/month for 6 months.* This splits the ₹23,010 total into monthly payments. *EMI amount, tenure and eligibility may vary depending on the applicable payment or financing option.
Chandigarh learners can request a demo session 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 experience the live teaching style before enrolling.
Yes, Chandigarh learners receive Dedicated Career & Placement Assistance. It includes 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 Chandigarh learners to apply for entry-level AI Agent Developer and Agentic 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 Chandigarh, 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.
Chandigarh learners can apply for AI Agent Developer, Agentic AI Engineer, AI Automation Engineer, LLM Application Developer, RAG Engineer (Junior) and AI Solutions Engineer roles. The focused curriculum lets you choose the direction that best matches your projects and interests.
Chandigarh 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 LLM familiarity are helpful but are built up during the course.
No. For Chandigarh 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. Chandigarh 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 Chandigarh 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 Chandigarh, 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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