For Hyderabad learners, Uncodemy runs an instructor-guided Agentic AI program lasting roughly three to four months. Topics include foundational LLM concepts, function and tool calling mechanisms, architecting AI agents, and practical training in LangChain, LangGraph, multi-agent orchestration, and agent deployment. Hyderabad students join through live online sessions; classroom learning is also possible at the Delhi and Noida centres for those who can travel. Fees stand at ₹19,500 + GST, which totals ₹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 total fee.
By the end of this program, participants gain practical expertise in building AI agents, calling tools, designing workflows, LLM applications and automation. These competencies prepare them to pursue roles like AI Agent Developer, Agentic AI Engineer and AI Automation Engineer.
Placement data for Hyderabad learners is updated frequently — check verified outcomes at uncodemy.com/placement.
Placed at: Allsoft Solutions
Placed at: SmartStudy
Placed at: Allsoft Solutions
Placed at: SmartStudy
Agentic AI is the term for AI systems designed around large language models that can plan tasks, reason step by step, call upon tools or functions, and take multiple actions toward a set goal. Instead of a single-turn chatbot that mostly replies to a prompt, an agentic system is able to coordinate actions, draw on external information, hold context, and execute a workflow spanning several stages.
An Agentic AI engineer creates and advances systems that complete multi-step tasks with controlled autonomy. Routine duties might include architecting agents, implementing tool and function calling, handling memory and context, building multi-agent workflows with LangChain or LangGraph, assessing responses, applying security and guardrails, and launching reliable agents in production environments.
Here is how Uncodemy's Agentic AI program sits next to its other specialisations.
| Aspect | Agentic AI | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | Building autonomous AI agents with tool calling, multi-agent workflows & deployment | Building, fine-tuning & deploying LLM-powered applications | Building retrieval-grounded AI systems on enterprise knowledge |
| Coding depth | High | High | High |
| Typical entry salary | ₹6–10 LPA (Agentic 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 across three to four months, this Agentic AI program is instructor-led and includes 100+ live sessions, 160+ hours of study and 13 modules. The journey moves 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 final capstone. Hands-on tools and projects are built in, taught live online for Hyderabad learners, with classroom options still available at Uncodemy's Delhi and Noida centres.
Having programming fundamentals helps, though the required Python foundation is built by the program starting Module 2. Familiarity with basic LLM or API concepts is beneficial yet not compulsory for following the course progression, since Module 3 develops these concepts. A laptop plus a stable internet connection is needed 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. Irshadi | 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.
Structured across three to four months, this Agentic AI program is instructor-led and includes 100+ live sessions, 160+ hours of study and 13 modules. The journey moves 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 final capstone. Hands-on tools and projects are built in, taught live online for Hyderabad learners, with classroom options still available at Uncodemy's Delhi and Noida centres.
| Module | Hours | Tools |
|---|---|---|
| 1. Agentic AI Fundamentals | 10 | Jupyter Notebook |
| 2. Python for Agentic AI | 12 | Python, Requests, Jupyter Notebook |
| 3. Large Language Models (LLMs) | 15 | OpenAI APIs, Hugging Face |
| 4. API Integration & LLM Calls | 10 | OpenAI APIs, Hugging Face |
| 5. Prompt Engineering for Agents | 10 | OpenAI APIs, Python |
| 6. Agent Architecture | 15 | Python, OpenAI APIs |
| 7. Tool & Function Calling | 15 | Python, OpenAI APIs |
| 8. Memory & Context Handling | 10 | Vector DB, Python |
| 9. RAG-Augmented Agents | 12 | LangChain, Vector DB, Hugging Face |
| 10. LangChain & LangGraph | 15 | LangChain, LangGraph, LangSmith |
| 11. Multi-Agent Systems | 12 | LangGraph, Python |
| 12. Evaluation, Security & Deployment | 15 | FastAPI, OpenAI APIs, Guardrails |
| 13. Agentic AI Capstone | 25 | Full stack of course tools |
| Total | 160+ Hours | |
Each project comes straight from a curriculum module, ending with the industry 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.
Learners who successfully complete the Uncodemy Agentic AI program receive the Uncodemy Agentic AI Program Certificate. Recorded on the certificate are the program name, duration, tools covered and completion date, together with a verification reference where the applicable verification mechanism exists.
Tied to the practical learning done during the program — hands-on agent-building projects, multi-agent system workflows and the Agentic AI capstone project — is the certification. This offers learners documented proof of completing the prescribed training and practical work.
The Agentic AI course for Hyderabad 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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A career-focused IT training institute offering structured technology education, Uncodemy Edutech Pvt. Ltd. carries 14+ years of training experience and conducts classroom programs through its Delhi and Noida centres, while learners across India, including Delhi, join remotely through live online classes.
Inside this Agentic AI program, learners work on creating AI agents able to handle tool calling, multi-agent workflows and RAG-augmented interactions. Production-oriented agent deployment is also covered in the learning path, which ends with an Agentic AI capstone project that pulls the major concepts together into practical work.
The program blends instructor-led sessions with assignments, practical projects, interview preparation and career support. Before enrolment, career-support processes, applicable policies and eligibility conditions are communicated, helping learners grasp what assistance is included without viewing it as a guarantee of employment.
Other courses for Hyderabad learners: LLM Engineering, RAG Engineering, AI Security, and Generative AI & Agentic AI courses for Hyderabad learners
The people who actually teach this course
Every live session is delivered by Uncodemy's trainer team. Working with 30+ Industry Trainers & Mentors who average 10+ Years of Corporate Training Experience*, the institute ensures lessons reflect how AI is practised in real companies.
At Uncodemy, two roles remain distinct: 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, which offers learners an independent check on what is taught.
So you can check their background before you join, every trainer and reviewer is published by name 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 Hyderabad and learn LLM fundamentals, tool calling, LangChain, LangGraph, multi-agent systems and deployment 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 Agentic AI role to architect.
Hyderabad offers strong and steady scope for Agentic AI engineers, because the city combines a large IT services base with a deep product and innovation ecosystem. Both sectors are adding autonomous agents, multi-agent workflows and generative AI to their products and internal operations.
Most technology hiring is concentrated around the HITEC City, Gachibowli and Madhapur tech clusters, where services firms, global capability centres and product teams build AI and agentic practices. Alongside IT, Hyderabad's long-standing strength in pharma, fintech and e-commerce creates demand for AI agents in areas such as clinical workflow automation, fraud detection, customer engagement and intelligent assistants.
When hiring freshers and career switchers, interviewers usually weigh three things above all. First, a firm grasp of LLM fundamentals and agent architecture — planning, tool calling, memory and multi-agent orchestration. 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 implemented tool calling and how they deployed with guardrails tend to stand out. This course is structured around exactly these areas, with live sessions, graded projects and a deployed capstone.
The focused scope of this program means you can apply for a range of Agentic AI roles rather than a single job title. Because the curriculum covers LLM fundamentals, tool calling, LangChain, LangGraph, multi-agent systems, RAG-augmented agents, evaluation, security 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, OpenAI APIs, LangChain |
| Agentic AI Engineer | LangGraph, LangChain, OpenAI APIs |
| AI Automation Engineer | Python, LangChain, FastAPI |
| Multi-Agent Systems Engineer | LangGraph, OpenAI APIs, Python |
| RAG-Augmented AI Engineer | LangChain, Vector DB, Hugging Face |
| AI Solutions Engineer | FastAPI, OpenAI APIs, Guardrails |
Over two to four years, growth usually comes from depth and ownership. Engineers who start with agent building often move into owning complete agentic workflows, from tool integration to deployment and monitoring. Many then specialise in areas such as multi-agent orchestration, RAG-augmented agents or agent security, and progress towards senior Agentic AI engineer roles. With broader system design experience, some later move into AI solution architecture or technical leadership positions.
Agentic AI salaries in Hyderabad depend heavily on the role you target, your practical skills and the type of employer. IT services companies, product firms and AI-first startups all hire Agentic AI talent, but they structure pay differently. The ranges below are indicative market ranges; they show how compensation typically widens as responsibility moves from agent building to system design.
| Role | Salary Range |
|---|---|
| AI Agent Developer | ₹5–9 LPA |
| Agentic AI Engineer | ₹6–10 LPA |
| AI Automation Engineer | ₹6–12 LPA |
| Senior Agentic AI Engineer | ₹12–22 LPA |
| AI Systems Architect | ₹18–30 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 Hyderabad 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.
Agentic AI demand in Hyderabad spans several industries, and Uncodemy's network of 850+ hiring partners reaches across many of them. The sectors below are where Hyderabad-based Agentic AI skills are most commonly applied today:
Because every sector relies on the same core foundation of LLMs, tool calling, agent architecture and deployment, a focused 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 Agentic 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 Industry project |
| Career support | Dedicated Career & Placement Assistance |
Within Uncodemy's own catalogue, this Agentic AI course is the specialised program for building autonomous AI agents. LLM Engineering focuses on building and deploying applications powered by large language models, RAG Engineering specialises in retrieval-grounded systems built on enterprise knowledge, and AI Security concentrates on protecting AI systems. Those courses suit learners who already know which niche they want. If you want to build agents that can plan, use tools and work autonomously, this program is the right fit.
Uncodemy does not have a classroom in Hyderabad, so Hyderabad 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 HITEC City, Gachibowli or Madhapur. 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 |
|---|---|
| To build autonomous AI agents with tool calling | This program |
| To add multi-agent orchestration and RAG to your LLM skills | This program |
| Narrow LLM application development only | Consider the LLM Engineering course |
| A narrow retrieval-system specialisation | Consider the RAG Engineering course |
Hyderabad learners finish this Artificial Intelligence course in 5–6 months. It involves 110+ live online sessions spanning 13 modules and concludes with a 25-hour industry capstone. Weekday and weekend batches are offered in Hyderabad, so you can select the pace that fits your work or study routine.
Hyderabad participants need no prior machine learning experience, as Python is taught from Module 2. Programming fundamentals and ease with basic maths and statistics help Hyderabad learners move faster; Module 3 develops the mathematics and statistics needed.
Hyderabad learners cover 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 used in practical assignments and projects rather than only being demonstrated.
Yes. Hyderabad learners study Deep Learning & Neural Networks in Module 8, Natural Language Processing (NLP) in Module 9, and Computer Vision & Image AI in Module 10. Every module includes practical work with TensorFlow, PyTorch, Hugging Face and OpenCV.
Hyderabad learners take 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 using FastAPI and document it on GitHub as a portfolio piece you can discuss in interviews.
For Hyderabad learners, classes are live. The program provides 110+ instructor-led live sessions where questions can be asked in real time, and recordings are made available so you can revise topics or catch up on a session you missed.
Hyderabad learners pay ₹24,500 + 18% GST, which totals ₹28,910. The same fee applies in all modes and cities, whether you learn live online from Hyderabad or in a classroom at Delhi or Noida, and there are no hidden charges.
Yes, Hyderabad learners can begin EMI at ₹4,818/month for 6 months.* This divides the ₹28,910 total into monthly instalments. *EMI amount, tenure and eligibility may vary depending on the applicable payment or financing option.
Hyderabad 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, Hyderabad learners get 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 Hyderabad learners 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 Hyderabad, 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.
Hyderabad 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.
Hyderabad learners from any discipline are eligible — 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 Hyderabad 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. Hyderabad 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 Hyderabad 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 Hyderabad, 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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