Uncodemy's Agentic AI course for Mangaluru is an instructor-led program spanning three to four months. It covers LLM fundamentals, tool and function calling, AI agent architecture, and applied training in LangChain, LangGraph, multi-agent systems, and agent deployment. Mangaluru learners join live online classes, with classroom learning possible at the Delhi and Noida centres for those able to commute. Fees are ₹19,500 + GST, amounting 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.
By completing this program, learners attain practical capabilities in AI agent development, tool calling, workflow design, LLM applications and automation. This supports applications for positions including AI Agent Developer, Agentic AI Engineer and AI Automation Engineer. Placement statistics for Mangaluru learners are updated periodically — review verified outcomes at uncodemy.com/placement.
Placed at: Allsoft Solutions
Placed at: SmartStudy
Placed at: Allsoft Solutions
Placed at: SmartStudy
Agentic AI refers to AI systems built around large language models that can plan tasks, reason through steps, call tools or functions, and perform multiple actions toward a defined goal. Unlike a single-turn chatbot that mostly answers a prompt, an agentic system can coordinate actions, source external information, maintain context, and execute a workflow across several stages.
An Agentic AI engineer is occupied with designing and developing systems that can complete multi-step tasks with controlled autonomy. Daily work can include designing agent architectures, implementing tool and function calling, managing memory and context, creating multi-agent workflows with LangChain or LangGraph, evaluating responses, applying security and guardrails, and deploying solid 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 agents with tool calling, workflows & 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 program is arranged as an instructor-led path lasting three to four months, with 100+ live sessions, 160+ hours of learning and 13 modules. Learners journey from agent fundamentals and Python into LLM fundamentals, API integration, prompt engineering, tool and function calling, agent architecture, memory and context management, RAG-augmented agents, LangChain and LangGraph, multi-agent systems, evaluation, security, guardrails, deployment and the closing capstone. Practical tools and projects are part of the program, taught live online for Mangaluru learners, while classroom learning remains accessible at Uncodemy's Delhi and Noida centres.
Programming fundamentals are helpful but the program builds the required Python foundation from Module 2 onward. Basic LLM or API familiarity is useful but not mandatory for understanding the course progression because these concepts are developed in Module 3. Learners should have a laptop and stable internet connection for live online classes, coding exercises, projects and assignments.
Pick the weekday or weekend track that suits your schedule; seats are confirmed on enrolment.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16 Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01 Seat |
| 22 Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02 Seat |
| 26 Oct | 10:30 AM – 11:30 AM | Mr. 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.
The Agentic AI program is arranged as an instructor-led path lasting three to four months, with 100+ live sessions, 160+ hours of learning and 13 modules. Learners journey from agent fundamentals and Python into LLM fundamentals, API integration, prompt engineering, tool and function calling, agent architecture, memory and context management, RAG-augmented agents, LangChain and LangGraph, multi-agent systems, evaluation, security, guardrails, deployment and the closing capstone. Practical tools and projects are part of the program, taught live online for Mangaluru learners, while classroom learning remains accessible at Uncodemy's Delhi and Noida centres.
| Module | Hours | Tools |
|---|---|---|
| 1. Agent Fundamentals | 10 | Jupyter Notebook |
| 2. Python for AI | 15 | Python, Jupyter Notebook |
| 3. LLM Fundamentals | 12 | OpenAI APIs, Hugging Face |
| 4. API Integration | 12 | Python, OpenAI APIs |
| 5. Prompt Engineering | 10 | OpenAI APIs, Hugging Face |
| 6. Tool & Function Calling | 15 | OpenAI APIs, Python |
| 7. Agent Architecture | 15 | LangChain |
| 8. Memory & Context Management | 10 | LangChain, Vector Stores |
| 9. RAG-Augmented Agents | 12 | LangChain, Vector Databases |
| 10. LangChain & LangGraph | 12 | LangChain, LangGraph |
| 11. Multi-Agent Systems | 15 | LangChain, LangGraph |
| 12. Evaluation, Security & Guardrails | 15 | Python, LangChain |
| 13. Agent Deployment & Industry Capstone | 25 | FastAPI, Git/GitHub |
| 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 receive the Uncodemy Agentic AI Program Certificate upon successful completion of the Uncodemy Agentic AI program. The certificate states the program name, duration, tools covered and completion date, along with a verification reference where the applicable verification mechanism is in place.
Tied to the practical learning completed during the program, including hands-on agent-building projects, multi-agent system workflows and the Agentic AI capstone project, is the certification. This hands learners documented evidence of completing the prescribed training and practical work.
The Agentic AI course for Mangaluru 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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As a career-focused IT training institute, Uncodemy Edutech Pvt. Ltd. delivers structured technology education. Its 14+ years of training experience underpin classroom programs at the Delhi and Noida centres, while live online classes enable learners across India, including Delhi, to join remotely.
This Agentic AI program directs learners toward creating AI agents capable of tool calling, multi-agent workflows and RAG-augmented interactions. The learning path also features production-oriented agent deployment and wraps up with an Agentic AI capstone project that assembles the major concepts into practical work.
Along with instructor-led sessions come assignments, practical projects, interview preparation and career support. Career-support processes, applicable policies and eligibility conditions are communicated before enrolment, enabling learners to see what assistance is included without viewing it as a guarantee of employment.
Other courses for Mangaluru learners: Artificial Intelligence, LLM Engineering, RAG Engineering, AI Security, and Generative AI courses for Mangaluru learners
The people who actually teach this course
Uncodemy's trainer team handles every live session. The institute works with 30+ Industry Trainers & Mentors who average 10+ Years of Corporate Training Experience*, so lessons reflect how AI is practised within real companies.
Two roles are kept apart at Uncodemy: trainers deliver the sessions, and domain reviewers verify that the curriculum is technically accurate and current. For this Artificial Intelligence program, the curriculum and technical content are reviewed by Mr. Irshad, with additional review by Mr. Upendra Kumar Tiwari, which offers learners an independent check on what is taught.
Every trainer and reviewer is published by name with a profile link, so you can check their background before you join.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Join a live online batch from anywhere in Mangaluru and learn LLM fundamentals, tool calling, agent architecture 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.
Mangaluru offers strong and steady scope for AI engineers, because the city combines a large IT services base with a deep automotive and manufacturing technology ecosystem. Both sectors are adding machine learning, computer vision and generative AI to their products and internal operations.
Most technology hiring is concentrated around the Kadri, Hampankatta and Surathkal IT hubs, where services firms, global capability centres and product teams build data and AI practices. Alongside IT, Mangaluru's long-standing strength in automotive and industrial manufacturing creates demand for AI in areas such as predictive maintenance, visual quality inspection, supply-chain forecasting and connected-vehicle analytics. Growing fintech, e-commerce and healthcare-technology teams add further roles in fraud detection, recommendations and clinical data analysis.
When hiring freshers and career switchers, interviewers usually weigh three things above all. First, a firm grasp of machine learning fundamentals — model selection, evaluation metrics and the bias–variance trade-off. Second, performance in coding rounds, typically Python-based problem solving and data manipulation. Third, the depth of your project portfolio: candidates who can explain why they chose an approach, how they measured results and how they deployed a model 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 AI roles rather than a single job title. Because the curriculum covers agent architecture, tool calling, language, vision and generative AI, 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, OpenAI APIs |
| Agentic AI Engineer | Python, LangChain, LangGraph |
| AI Automation Engineer | Python, LangChain, FastAPI |
| Generative AI Engineer | OpenAI APIs, Hugging Face, FastAPI |
Over two to four years, growth usually comes from depth and ownership. Engineers who start with model building often move into owning complete pipelines, from data preparation to deployment and monitoring. Many then specialise in areas such as deep learning, computer vision or generative AI, 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 Mangaluru depend heavily on the role you target, your practical skills and the type of employer. IT services companies, product firms and automotive-technology teams 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 model 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 Mangaluru 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 Mangaluru spans several industries, and Uncodemy's network of 850+ hiring partners reaches across many of them. The sectors below are where Mangaluru-based AI skills are most commonly applied today:
Because every sector relies on the same core foundation of data, models and deployment, a broad AI program lets you apply across industries instead of committing to one early in your career.
Becoming an 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 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 | 12+ |
| Capstone | 25-hour Industry project |
| Career support | Dedicated Career & Placement Assistance |
Within Uncodemy's own catalogue, this Agentic AI course is the broader program for building intelligent agents. LLM Engineering focuses narrowly 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 are still building your base, this program covers agent architecture, tool calling, LangChain, LangGraph and multi-agent systems together, and a specialisation can follow later.
Uncodemy does not have a classroom in Mangaluru, so Mangaluru 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 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 Kadri, Hampankatta or Surathkal. 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 AI agents with tool calling and workflows | This program |
| To add agentic AI skills when you already know LLM basics | This program |
| Narrow LLM application development only | Consider the LLM Engineering course |
| A narrow retrieval-system specialisation | Consider the RAG Engineering course |
Mangaluru learners finish this Artificial Intelligence course in 5–6 months. The structure holds 110+ live online sessions across 13 modules and ends with a 25-hour industry capstone. Weekday and weekend batches are both offered in Mangaluru, letting you pick a pace that fits your work or study schedule.
Mangaluru participants need no prior machine learning experience, as Python is taught from Module 2. Programming fundamentals and ease with elementary maths and statistics help Mangaluru learners move ahead faster; Module 3 builds the mathematics and statistics needed.
Mangaluru 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. Every tool is applied in hands-on assignments and projects rather than being demonstrated alone.
Yes. Mangaluru learners study 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 uses frameworks such as TensorFlow, PyTorch, Hugging Face and OpenCV.
Mangaluru learners complete Module 13, AI Projects & Industry Capstone, a 25-hour project. You define an industry-style problem, prepare the data, build and evaluate a model, deploy it via FastAPI and document it on GitHub as a portfolio piece you can discuss in interviews.
For Mangaluru learners, classes are live. The program provides 110+ instructor-led live sessions where questions can be asked in real time, and recordings are shared so you can revise topics or cover a missed session.
Mangaluru learners pay ₹24,500 + 18% GST, making a total of ₹28,910. The same fee applies in all modes and cities, whether you learn live online from Mangaluru or in a classroom at Delhi or Noida, and there are no hidden charges.
Yes, Mangaluru learners can start EMI at ₹4,818/month for 6 months.* This spreads the total fee of ₹28,910 across monthly payments. *EMI amount, tenure and eligibility may vary depending on the applicable payment or financing option.
Mangaluru 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, Mangaluru learners receive Dedicated Career & Placement Assistance. This 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 Mangaluru learners to apply for entry-level AI Engineer roles, which carry an indicative range of ₹4–8 LPA. Getting hired depends on your projects, interview performance and market conditions, and Uncodemy does not guarantee any specific role or salary.
In Mangaluru, 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.
Mangaluru 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.
Mangaluru learners from any discipline qualify — graduates, working professionals, aspiring AI engineers and career changers. You need a laptop and a stable internet connection; programming fundamentals and basic maths comfort are helpful but are built up during the course.
No. For Mangaluru 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. Mangaluru 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 Mangaluru 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 Mangaluru, 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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