Belagavi enrolees can pursue Uncodemy's Agentic AI program, a mentor-guided course running three to four months. Coverage spans LLM fundamentals, tool and function calling, AI agent architecture, and hands-on practice with LangChain, LangGraph, multi-agent systems, and agent deployment. Enrolees from Belagavi attend live online sessions, while in-person batches remain open at the Delhi and Noida centres for those willing to travel. Course pricing stands at ₹19,500 + GST, which works out 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.
Attendees who finish this program walk away with usable abilities across AI agent development, tool calling, workflow construction, LLM applications and automation, reinforced by a project portfolio and an industry capstone. Such abilities match positions including AI Agent Developer, Agentic AI Engineer and AI Automation Engineer.
Placement records for Belagavi attendees are refreshed on a rolling basis — inspect verified results at uncodemy.com/placement.
Placed at: Allsoft Solutions
Placed at: SmartStudy
Placed at: Allsoft Solutions
Placed at: SmartStudy
Agentic AI denotes a class of AI platforms constructed atop large language models, capable of charting task plans, reasoning across sequential steps, summoning tools or functions, and carrying out numerous actions directed toward a set objective. As opposed to a single-turn chatbot that merely answers a prompt, an agentic platform can harmonise actions, obtain outside information, hold onto context, and run a workflow spanning multiple stages.
The role of an Agentic AI engineer involves shaping and constructing systems that can handle multi-stage tasks with supervised autonomy. Routine duties can encompass laying out agent architectures, coding tool and function calling, governing memory and context, assembling multi-agent workflows with LangChain or LangGraph, assessing responses, imposing security and guardrails, and launching robust 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 |
Structured over a three-to-four-month instructor-guided timeline, this Agentic AI curriculum includes 100+ live sessions, 160+ learning hours and 13 modules. Attendees advance from agent fundamentals and Python toward 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. Working tools and projects are woven in throughout, conducted live online for Belagavi attendees, with classroom delivery continuing at Uncodemy's Delhi and Noida premises.
While programming grounding helps, the course cultivates the essential Python base beginning in Module 2. Basic LLM or API awareness proves useful but is not compulsory for following the syllabus, since these themes are unfolded from Module 3 onward. A laptop alongside a dependable internet connection is required for live online lectures, coding tasks, 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.
Laid out as a three-to-four-month instructor-guided journey, the Agentic AI program packs 100+ live sessions, 160+ learning hours and 13 modules. Attendees journey from agent fundamentals and Python on 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 closing capstone. Practical tools and projects are woven in, conducted live online for Belagavi attendees, 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.
Following the successful wrap-up of the Uncodemy Agentic AI program, the Uncodemy Agentic AI Program Certificate is handed to enrolees. This credential captures the program name, its duration, the tools addressed and the completion date, alongside a verification reference where the applicable verification mechanism is obtainable.
The certification is bound to the practical work accomplished during the program — hands-on agent-construction projects, multi-agent system workflows and the Agentic AI capstone project. It supplies enrolees with documented proof of finishing the prescribed training and practical tasks.
The Agentic AI course for Belagavi 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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Functioning as a career-oriented IT training provider focused on structured technology education, Uncodemy Edutech Pvt. Ltd. carries 14+ years of training expertise. Classroom batches are hosted at its Delhi and Noida centres, while live online lessons let enrolees throughout India — Belagavi included — take part remotely.
Through this Agentic AI program, enrolees work toward constructing AI agents capable of tool calling, multi-agent workflows and RAG-augmented interactions. The learning journey additionally takes in production-grade agent deployment and wraps up with an Agentic AI capstone project that binds the principal concepts into practical work.
Instructor-led sessions are married with assignments, practical projects, interview preparation and career support. Prior to enrolment, career-support mechanisms, relevant policies and eligibility criteria are disclosed, so enrolees can grasp what assistance is on offer without interpreting it as a promise of employment.
Other courses for Belagavi learners: Artificial Intelligence, LLM Engineering, RAG Engineering, AI Security, and Generative AI & Agentic AI courses for Belagavi learners
The people who actually teach this course
Uncodemy's trainer team handles each live session. The institute works alongside 30+ Industry Trainers & Mentors possessing 10+ Years of Corporate Training Experience* on average, so that lessons mirror how AI is applied inside genuine companies.
Two roles remain distinct at Uncodemy: trainers conduct sessions, while domain reviewers verify the curriculum is technically precise and up to date. For this Artificial Intelligence program, the curriculum and technical content are reviewed by Mr. Irshad, with supplementary review by Mr. Upendra Kumar Tiwari, giving enrolees an independent check on what is taught.
Every trainer and reviewer is published by name with a profile link, letting you check credentials 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 Belagavi 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.
Belagavi is steadily unlocking prospects for AI specialists, given that the city pairs a respected education and manufacturing lineage with a developing technology and services sector. Both of these areas are progressively folding AI agents, tool-invocation routines and automation into their offerings and behind-the-scenes workflows.
Technology recruitment clusters around Udyambag, Nehru Nagar and Tilakwadi, where services firms, capability centres and product houses build data and AI practices. Beside IT, Belagavi's growing fintech, e-commerce and healthcare-technology industries create appetite for AI across areas such as fraud prevention, recommendation engines, document handling and clinical data analysis.
While picking freshers and career switchers, interviewers commonly prioritise three facets. First, firm grounding in AI and agent concepts — how LLMs, tool invocation and workflows intersect. Second, coding-round results, typically Python-based problem solving and API integration. Third, portfolio heft: applicants who can rationalise 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 crafted around precisely those pillars, with live sessions, graded projects and a deployed capstone.
The reach of this program is deliberately broad, enabling enrolees to target a spectrum of entry-level Agentic AI positions rather than a single title. As the curriculum spans agent architecture, tool invocation, multi-agent systems and deployment, you can line up 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 typically stems from depth and ownership. Engineers who begin with agent construction often graduate to running whole agentic pipelines, spanning design through deployment and monitoring. Many subsequently specialise in multi-agent orchestration, evaluation or security, and shift into senior AI engineer roles. With broader system design exposure, some eventually transition into solution architecture or technical leadership.
AI compensation in Belagavi varies meaningfully with the role you target, your hands-on abilities and the kind of employer you choose. IT services firms, product houses and tech startups all recruit AI talent, yet each structures pay in its own way. The bands shown below reflect the indicative market ranges Uncodemy publishes across its course pages; they illustrate how remuneration typically expands as responsibility shifts from agent construction 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 Belagavi 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 across Belagavi stretches over a diverse set of industries, and Uncodemy's network of 850+ hiring partners covers a great many of them. The sectors catalogued below are where Belagavi-based Agentic AI capabilities are most commonly deployed today:
Since each sector rests on the same core foundation of LLMs, tools and agentic workflows, a broad Agentic AI program lets enrolees apply across industries instead of locking into one early in their career.
Turning into an Agentic AI engineer is a sequence of skills, each one building on the one before it. The seven stages 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 stack them up 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 |
Inside Uncodemy's own catalogue, this Agentic AI course is the most specialised program for constructing 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 construct 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 operate a classroom in Belagavi, so Belagavi enrolees take the Agentic AI program wholly live online. This is not a stripped-down version of the course. You attend the same batches, learn from the same trainers and follow the same 13-module curriculum as enrolees 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 Udyambag, Nehru Nagar or Tilakwadi. 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 |
Belagavi enrolees traverse this Artificial Intelligence course in 5–6 months. It unfolds over 110+ live online sessions across 13 modules and concludes with a 25-hour industry capstone. Weekday and weekend batches are both made available in Belagavi, letting you pick a tempo that matches your work or study routine.
Belagavi enrolees do not need earlier machine learning background, because Python teaching opens at Module 2. Programming foundations alongside comfort with elementary maths and statistics let Belagavi enrolees advance more rapidly; Module 3 develops the mathematics and statistics essentials.
Belagavi enrolees encounter 15 tools: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI. Every tool is exercised through practical assignments and projects rather than simply being exhibited.
Yes. Belagavi enrolees tackle Deep Learning & Neural Networks in Module 8, Natural Language Processing (NLP) in Module 9, and Computer Vision & Image AI in Module 10. Practical work in each module leans on frameworks such as TensorFlow, PyTorch, Hugging Face and OpenCV.
Belagavi enrolees handle Module 13, AI Projects & Industry Capstone, a 25-hour project. You frame an industry-style problem, prepare the data, construct and assess a model, deploy it through FastAPI and document it on GitHub as a portfolio piece for interviews.
For Belagavi enrolees, classes are live. The program delivers 110+ instructor-led live sessions where queries can be raised on the spot, and recordings are provided so you can revisit topics or cover a session you could not attend.
Belagavi enrolees pay ₹24,500 + 18% GST, making a total of ₹28,910. This rate holds in all modes and cities, whether you learn live online from Belagavi or in a classroom at Delhi or Noida, and no hidden charges apply.
Yes, Belagavi enrolees can tap EMI beginning at ₹4,818/month for 6 months.* This splits the ₹28,910 total across monthly instalments. *EMI amount, tenure and eligibility can vary based on the specific payment or financing option chosen.
Belagavi enrolees can ask for a demo session by submitting the enquiry form or calling our counsellors. Demo availability depends on the live batch schedule, and the team will share forthcoming slots so you can sample the live teaching format before enrolling.
Yes, Belagavi enrolees receive Dedicated Career & Placement Assistance. This covers resume and LinkedIn guidance, mock interviews and opportunity sharing through a hiring network of 850+ companies. Assistance does not promise employment; outcomes hinge on your skills and interview performance.
The course readies Belagavi enrolees to apply for entry-level AI Engineer roles, which carry an indicative range of ₹4–8 LPA. Securing a role depends on your projects, interview performance and market conditions, and Uncodemy does not guarantee any specific role or salary.
In Belagavi, 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.
Belagavi enrolees can pursue AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer roles. The broad curriculum lets you select the direction that best fits your projects and interests.
Belagavi enrolees from any discipline qualify — graduates, working professionals, aspiring AI engineers and career switchers. You need a laptop and a stable internet connection; programming basics and maths comfort help but are developed during the course.
No. For Belagavi enrolees, salary ranges are indicative market figures, placement support 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. Belagavi enrolees join the course live online. Uncodemy's classroom centres sit in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1), and anyone able to travel can pick in-person training at either location.
No. For Belagavi enrolees, it 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 Belagavi, 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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