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🔥 New & Trending for Aligarh

Generative AI & Agentic AI Training Course in Aligarh by Uncodemy

Learners in Aligarh can join Uncodemy's instructor-led Generative AI & Agentic AI program (duration ~3–4 months, indicative, pending final confirmation). The syllabus covers LLM application development, prompt engineering, RAG, LangChain, LangGraph, AI agents, agentic AI, multi-agent systems, MCP, evaluation, AI security and deployment. Designed for developers, aspiring AI engineers, data professionals and working professionals moving into GenAI roles. Classroom training is available at Uncodemy's Delhi and Noida centres; Aligarh learners can join live online batches. Fee: ₹15,500 + 18% GST, total ₹18,290. Includes 14 modules, 5 hands-on projects and dedicated career assistance.

Google4.7/5 (500+)Sulekha5/5 (30+)Just Dial4.7/5 (500+)Facebook5/5Mouthshut4/5 (130+)Trustindex5/5 (54+) 1,200+ Reviews Across Major Platforms*
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Special Offer: Generative AI & Agentic AI Course

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₹15,500/-
+ 18% GST · Total ₹18,290
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Total ₹18,290
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EMI AVAILABLE
₹3,048.33/M for 6 Months*
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Expert Trainers

Learn from 8+ years experienced professionals

Hands-on Automation Projects

Build real Playwright test suites, not just theory

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & Job Support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
100%
Placement Support
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support

Program Details

Generative AI & Agentic AI Course — Live Online & Classroom Program Hands-on learning focused on practical GenAI, RAG, agentic AI and multi-agent system skills and interview preparation.
A comprehensive ~3–4 month instructor-led program (indicative, pending confirmation) covering LLM application development, prompt engineering, RAG, LangChain, LangGraph, AI agents, agentic AI, multi-agent systems, MCP, evaluation, AI security and deployment with practical projects, mentoring and career support.
📚 Learning:
~100+ Hours (indicative, pending confirmation)
⏱️ Program Duration:
~3–4 Months (indicative, pending confirmation)
🎓 Live Training:
~60–70 Live Sessions (indicative, pending confirmation)
🛠️ Technology Coverage:
10+ Tools & Technologies
💼 Practical Learning:
5 Hands-on Projects (RAG applications, AI agents, multi-agent systems — exact titles pending confirmation)
💰 Program Fee:
₹15,500 + 18% GST
💰 Total Fee:
₹18,290
💳 EMI:
₹3,048.33/Month for 6 Months*
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

Generative AI & Agentic AI Course in Aligarh — Quick Facts

🎓 Course:
Generative AI & Agentic AI Course
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
~100+ Hours (indicative)
📖 Curriculum:
14 Modules
💼 Projects:
5 Hands-on Projects
🛠️ Tools:
ChatGPT/Gemini/Claude APIs, LangChain, LangGraph, FAISS/Chroma/Pinecone, MCP, Python
🌐 Modes:
Offline (Delhi & Noida centres only) + Live Online (India-wide, including Aligarh)
✅ Target Audience:
Developers, aspiring AI Engineers, Data professionals, working professionals moving into GenAI roles
📜 Certificate:
Uncodemy Generative AI & Agentic AI Program Certificate [verification mechanism pending confirmation]
🗓️ Last Reviewed:
25 September 2026

List of Placed Students Trained by Uncodemy

Uncodemy learners who complete the Generative AI & Agentic AI training program develop practical skills in LLM application development, RAG pipelines, AI agents, multi-agent systems, MCP integration, evaluation, AI security and deployment. After completing their training and career preparation, eligible learners may apply for relevant roles such as GenAI Developer, AI Engineer, Agentic AI Developer and LLM Application Developer. As a newly launched specialization, placement outcomes for Generative AI & Agentic AI learners will be published at uncodemy.com/placement as they are confirmed.

What is Generative AI & Agentic AI?

Generative AI refers to models that create new content — text, code, images, summaries and structured outputs — based on patterns learned from large datasets. Agentic AI takes this further: it uses large language models to plan, reason, select tools and take autonomous multi-step actions toward a goal. The two are taught together because building a useful agentic system requires a solid foundation in generative AI, prompt design, retrieval and model behaviour — and testing and deployment skills that apply across both.

What does a GenAI/Agentic AI developer do? A GenAI/Agentic AI developer builds LLM-powered applications, designs RAG pipelines, builds AI agents and multi-agent systems, integrates external tools via MCP, evaluates and secures AI systems, and deploys models and applications. Daily work involves Python or JavaScript scripting, API integration with ChatGPT/Gemini/Claude, using frameworks like LangChain and LangGraph, vector database operations, prompt engineering, observability and responsible AI practices.

Generative AI & Agentic AI vs Traditional Data Science/ML

Generative AI & Agentic AI focuses on building applications with LLMs, RAG pipelines and autonomous AI agents, while traditional Data Science/ML focuses on building predictive models from structured and unstructured data.

Aspect Generative AI & Agentic AI Traditional Data Science / ML
Core focus Building applications with LLMs, RAG pipelines and autonomous AI agents Building predictive models from structured/unstructured data
Coding depth Moderate to High High
Typical entry salary Salary insights being compiled (fast-evolving specialization) ₹4–8 LPA (per Uncodemy Data Science course sheet)
Course duration ~3–4 months (indicative) 8–9 months

Salary ranges are indicative where available and vary by role, skills, experience, location and employer.

Course Overview

The Generative AI & Agentic AI course is an instructor-led program delivered across ~60–70 live sessions (indicative) and ~100+ hours (indicative) of learning, with duration proposed at ~3–4 months (pending final confirmation). It is structured in 14 modules that progress from AI & Generative AI foundations through prompt engineering, LLM application development, embeddings and vector databases, RAG, LangChain, LangGraph, AI agents, agentic AI, multi-agent systems, MCP, evaluation and observability, AI security and deployment. Every module includes practical exercises with real AI tools, and the program includes 5 hands-on projects spanning RAG applications, AI agents and multi-agent systems. The program is delivered as offline classroom training at Uncodemy's Delhi and Noida centres, and live online across India including Aligarh.

Who should join this course:

  • Developers wanting to build LLM-powered applications and agentic AI systems.
  • Aspiring AI engineers looking to specialise in generative AI and agentic AI.
  • Data professionals adding a GenAI specialization to their existing skill set.
  • Working professionals transitioning into GenAI and agentic AI roles.
  • Aligarh-based learners who want in-person classroom training can join at the Delhi/Noida centres, or attend live online.

Eligibility: Basic programming or Python familiarity is helpful. Prior coding experience is recommended for application-development, RAG, agent and deployment modules. A laptop with stable internet is required for practical sessions. Exact prerequisites are pending final confirmation.

Upcoming Generative AI & Agentic AI Course Batches for Aligarh Learners

Choose a batch timing that fits your schedule. Live online batches and classroom batches (Delhi/Noida), IST timings. Book a free demo class first-hand, or join our upcoming weekend and weekday batches — designed for both working professionals and students, with flexible timings and hands-on training.

Weekdays

Date Time Trainer Seats Left
16Oct 07:30 PM – 08:30 PM Mr. Upendra Kumar Tiwari 02Seats
22Oct 02:00 PM – 03:00 PM Mr. Irshad 03Seats
28Oct 10:30 AM – 11:30 AM Mr. Upendra Kumar Tiwari 01Seat

Weekends

Date Time Trainer Seats Left
27Oct 03:00 PM – 05:00 PM Mr. Irshad 02Seats

Seats are limited and updated daily. All timings are in IST. Classroom batches are available at Delhi and Noida centres only.

Enroll Now

Curriculum for Generative AI & Agentic AI Course in Aligarh

Generative AI & Agentic AI Course Syllabus in Aligarh

The syllabus is organised into 14 modules covering ~100+ hours (indicative). The order follows how GenAI and agentic AI actually work: GenAI foundations → prompt engineering → LLM application development → embeddings & vector databases → RAG → LangChain → LangGraph → AI agents → agentic AI → multi-agent systems → MCP → evaluation & observability → AI security → deployment. Each module includes practical exercises with real tools, and the program includes 5 hands-on projects. Per-module hour distribution is pending confirmation and will be updated on this page once finalised.

Module 1: AI & Generative AI Foundations

  • AI, ML, deep learning and generative AI landscape
  • Large language models: architecture, parameters, context windows
  • Tokenization, embeddings and model behaviour
  • GenAI landscape: ChatGPT, Gemini, Claude
  • Probabilistic outputs and non-determinism

Module 2: Prompt Engineering

  • Prompt design principles and patterns
  • Zero-shot, few-shot and chain-of-thought prompting
  • Structured outputs and prompt templates
  • Robustness testing across prompt variations
  • Prompt versioning and regression testing

Module 3: LLM Application Development

  • ChatGPT, Gemini and Claude API integration
  • Building LLM-powered applications with Python
  • Function calling and structured JSON outputs
  • Streaming responses and UX considerations
  • Error handling and cost/performance trade-offs

Module 4: Embeddings & Vector Databases

  • Embeddings and similarity search
  • Vector databases: FAISS, Chroma, Pinecone
  • Index types, chunking and retrieval performance
  • Metadata filtering and hybrid search
  • Data privacy and isolation considerations

Module 5: RAG

  • RAG architecture: retriever, generator, context
  • Chunking strategies and their impact
  • Retrieval accuracy and relevance
  • End-to-end RAG pipeline validation
  • Using LangChain for RAG applications

Module 6: LangChain

  • LangChain components: chains, tools, memory
  • Building RAG and conversational chains
  • Integrating external APIs and data sources
  • Debugging and tracing chains
  • Best practices for production LangChain apps

Module 7: LangGraph

  • Graph-based orchestration for LLM workflows
  • State management and conditional edges
  • Human-in-the-loop and approval flows
  • Building reliable multi-step pipelines
  • Visualising and debugging LangGraph applications

Module 8: AI Agents

  • AI agents: planning, tool use, memory
  • Building single-agent systems with LangChain/LangGraph
  • Tool selection and execution
  • Failure mode analysis for agents
  • Guardrails and safe agent behaviour

Module 9: Agentic AI

  • Agentic workflows and autonomy levels
  • Multi-step reasoning and task decomposition
  • Tool integration and external actions
  • Human oversight and intervention points
  • Evaluating agentic AI behaviour

Module 10: Multi-Agent Systems

  • Multi-agent architectures and role design
  • Agent communication and coordination
  • Supervisor and swarm patterns
  • Conflict resolution and fallback strategies
  • Debugging and monitoring multi-agent systems

Module 11: MCP

  • Model Context Protocol (MCP) overview
  • Tool integration and schema validation
  • Building MCP servers and clients
  • Security considerations for MCP
  • End-to-end MCP workflow testing

Module 12: Evaluation & Observability

  • Evaluating LLM outputs: faithfulness, relevance, precision
  • Building evaluation datasets
  • Observability and tracing for LLM apps and agents
  • Regression testing and CI integration
  • Monitoring production AI systems

Module 13: AI Security

  • Prompt injection and jailbreak testing
  • Data leakage and privacy testing
  • Adversarial inputs and robustness
  • Testing guardrails and filters
  • Reporting AI security vulnerabilities

Module 14: Deployment

  • Deploying LLM applications and AI agents
  • Scaling, cost and performance considerations
  • Versioning models, prompts and pipelines
  • CI/CD for AI applications
  • Production monitoring and rollback
# Module Topics Covered Tools
1 AI & Generative AI Foundations AI/ML landscape, LLMs, tokenization, embeddings, GenAI tools ChatGPT, Gemini, Claude
2 Prompt Engineering Prompt patterns, zero/few-shot, CoT, templates, versioning ChatGPT, Gemini, Claude
3 LLM Application Development API integration, function calling, structured outputs, streaming Python, ChatGPT/Gemini/Claude APIs
4 Embeddings & Vector Databases Embeddings, similarity search, indexing, chunking FAISS, Chroma, Pinecone
5 RAG RAG architecture, chunking, retrieval accuracy, pipeline validation LangChain, vector DBs
6 LangChain Chains, tools, memory, integration, debugging LangChain
7 LangGraph Graph orchestration, state, conditional edges, human-in-loop LangGraph
8 AI Agents Planning, tool use, memory, guardrails LangChain, LangGraph
9 Agentic AI Agentic workflows, autonomy, multi-step reasoning, oversight LangGraph, Python
10 Multi-Agent Systems Architectures, communication, supervisor/swarm patterns LangGraph, Python
11 MCP MCP overview, tool integration, servers/clients, security MCP
12 Evaluation & Observability Metrics, datasets, tracing, regression, monitoring Evaluation & observability tools
13 AI Security Prompt injection, data leakage, adversarial inputs, guardrails Python, security tooling
14 Deployment Deployment, scaling, versioning, CI/CD, monitoring Python, CI/CD tooling
Total 14 Modules 10+ Tools & Technologies

Contacted by

UT

Upendra Kumar Tiwari

Senior Data Science Trainer

15+ Years Experience

Specialization: Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud, NLP

LinkedInProfile

Get Your Generative AI & Agentic AI Certification In Aligarh

On completing all 14 modules, the assignments and the 5 hands-on projects, you receive the Uncodemy Generative AI & Agentic AI Program Certificate. The certificate records the program name, duration, tools covered and completion date. Certification is issued on completion of the required coursework and assessment, providing a record of successful completion of the Uncodemy Generative AI & Agentic AI program. Certificate verification mechanism is pending confirmation and will be updated on this page once finalised.

The certificate is provided along with the practical work completed during the program. Learners work on assignments and projects using the AI tools covered in the curriculum, including ChatGPT/Gemini/Claude APIs, LangChain, LangGraph, FAISS/Chroma/Pinecone, MCP, Python, prompt engineering tools and evaluation/observability tools. The 5 hands-on projects provide an opportunity to apply the concepts covered during the training.

Key Benefits of Our Generative AI & Agentic AI Certification:

  • Program Completion :Provides a record of successful completion of the Generative AI & Agentic AI program.
  • Practical Project Portfolio :The training includes 5 hands-on projects using real AI tools and frameworks.
  • Industry-Relevant Skills :Covers LLM application development, RAG, LangChain, LangGraph, AI agents, agentic AI, multi-agent systems, MCP, evaluation, AI security and deployment.

This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Anthropic or any other AI vendor whose APIs (ChatGPT, Gemini, Claude) are taught in this course. Certificate verification process pending confirmation.

Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com
IIBA Endorsed Education Provider certificate — Uncodemy
Uncodemy Data Science Program Certificate
Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy

Uncodemy is a career-focused IT training institute operated by Uncodemy Edutech Pvt. Ltd., with training centres in Delhi and Noida, and live online classes reaching learners across India. This Generative AI & Agentic AI program is delivered as offline classroom training at both centres and live online for learners in Aligarh and nationwide.

In this Generative AI & Agentic AI program, learners work with ChatGPT/Gemini/Claude APIs, LangChain, LangGraph, FAISS/Chroma/Pinecone, MCP, Python, prompt engineering tools and evaluation/observability tools. The training covers how GenAI and agentic AI systems are built and deployed in production — developing LLM applications, designing RAG pipelines, building AI agents and multi-agent systems, integrating tools via MCP, evaluating and securing AI systems. You can read the full module-by-module curriculum before you enrol.

Alongside training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it does not — is set out in our career support policy, along with the eligibility conditions published before enrolment rather than after payment.

Other courses for Aligarh learners

If you are still deciding on a direction, Uncodemy also runs Machine Learning, Artificial Intelligence courses for Aligarh and Uttar Pradesh learners.

Project portfolio review:Your 5 hands-on projects are reviewed and refined into a portfolio an interview will find credible.

Resume & LinkedIn:We build your resume around GenAI and agentic AI keywords and measurable outcomes, and align your LinkedIn profile to match.

Interview preparation:System design for AI applications, agent architecture questions, RAG pipeline debugging, framework-design questions and AI case studies specific to GenAI hiring.

Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.

Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.

Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.

Review
Google Reviews
4.7/5500+ Google Reviews
Sulekha Reviews
5/530+ Sulekha Reviews
Just Dial Reviews
4.7/5500+ Just Dial Reviews
Facebook Reviews
5/5Facebook Reviews
Mouthshut Reviews
4/5130+ Mouthshut
Trustindex Reviews
5/554+ Trustindex Reviews

Instructors

The people who actually teach this course

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 program, the technical and curriculum reviewer is Mr. Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.

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.

Enroll in Our Generative AI & Agentic AI Course for Aligarh Learners Today!

Enroll in Uncodemy's Generative AI & Agentic AI Course for Aligarh learners today! Develop practical GenAI, RAG, agentic AI and multi-agent system skills through instructor-led training, projects, assignments and career preparation. Start learning generative AI and agentic AI through instructor-led training, practical projects and structured career preparation.

Generative AI & Agentic AI Jobs and Career Scope in Aligarh+

Aligarh is part of the wider Delhi NCR–Western UP belt that is seeing growing adoption of AI and generative AI across education, manufacturing, healthcare, retail and government services. While Aligarh's IT ecosystem is still developing compared to Delhi, Noida or Gurugram, the demand for GenAI skills is not restricted by city boundaries: remote roles, hybrid roles and roles based in nearby NCR hubs are increasingly accessible to candidates from Aligarh who have demonstrable GenAI and agentic AI skills. Companies building chatbots, RAG-based assistants, document-processing pipelines and agentic AI workflows need developers who understand prompt engineering, LLM application development, RAG, LangChain, LangGraph, AI agents and multi-agent systems. Aligarh's strong base of educational institutions, coaching hubs and small-to-mid-size businesses is also starting to adopt AI for content, customer support and operations. For learners willing to build a strong portfolio, the GenAI and agentic AI skill set opens doors to both local opportunities and remote/NCR-based roles. The role of GenAI Developer or AI Engineer is an emerging specialization — candidates who combine programming fundamentals with practical GenAI and agentic AI experience are well-positioned.

Job Roles After This Course+

GenAI Developer, AI Engineer, LLM Application Developer, Agentic AI Developer, Prompt Engineer and AI Solutions Consultant are the roles this course maps to. Each role involves building with LLMs and agentic systems, but they differ in the specific components built and tools used.
Role Core Tools
GenAI Developer Python, ChatGPT/Gemini/Claude APIs, LangChain
AI Engineer LangChain, LangGraph, vector DBs, MCP
LLM Application Developer Python, LangChain, RAG, evaluation tools
Agentic AI Developer LangGraph, MCP, Python, multi-agent frameworks
Prompt Engineer ChatGPT, Gemini, Claude, prompt engineering tools
AI Solutions Consultant LangChain, RAG, MCP, deployment tooling
Most graduates start as a GenAI Developer, AI Engineer or LLM Application Developer and move into the others with two to four years of experience, as they build domain knowledge in a specific AI component or industry.

Generative AI & Agentic AI Salary in Aligarh — Experience-wise+

Salary insights for Generative AI and Agentic AI roles are being compiled as this is a fast-evolving specialization. Contact our counsellors for the latest market information, or view our published placement records at uncodemy.com/placement. Reviewed: September 2026.

Salary ranges are indicative where available and may vary based on role, skills, experience, location, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

Top Sectors Hiring for GenAI & Agentic AI Roles in Aligarh+

Uncodemy works with 850+ companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. In the Aligarh region and the wider Delhi NCR–Western UP belt, GenAI and agentic AI demand is emerging in:
  • IT services and consulting firms in Noida, Delhi and Gurugram that hire remote or hybrid GenAI talent from smaller UP cities
  • Product companies and SaaS startups building chatbots, AI assistants and RAG-based features
  • EdTech and coaching organisations adopting AI for content, assessments and student support
  • Healthcare, retail and manufacturing-tech in Western UP deploying AI for operations and customer service
  • Government and public-sector digital initiatives exploring GenAI for citizen services and document processing
Each of these sectors tends to weight skills slightly differently, so as you get closer to placement, it helps to tailor your portfolio projects toward the one or two sectors you're most interested in.

How to Get Started with Generative AI & Agentic AI — Step by Step+

Getting started with Generative AI and agentic AI is a step-by-step skill build, not a single course, and skipping steps usually shows up later as gaps in interviews or on the job.
  • Build GenAI foundations— understand AI/ML, LLMs, tokenization, embeddings and model behaviour.
  • Learn prompt engineering— design and evaluate prompts for reliability and edge cases.
  • Learn LLM application development— integrate ChatGPT/Gemini/Claude APIs and build applications.
  • Master RAG & vector databases— test retrieval accuracy, chunking and embedding quality.
  • Work with LangChain & LangGraph— build chains, graphs and orchestration workflows.
  • Build AI agents & multi-agent systems— planning, tool use, coordination and guardrails.
  • MCP, evaluation, security & deployment— tool integration, observability, adversarial testing and production deployment.
Typical timeline: ~3–4 months (indicative, pending confirmation) of consistent study to reach interview-ready standard, assuming a few focused hours most days rather than occasional binge sessions.

How This Course Compares to Other AI Courses in Aligarh+

Aligarh and the surrounding region have a growing number of AI and data training options at very different price points, ranging from short workshops to multi-month bootcamps. Here is an honest comparison, so you can judge the fit yourself rather than relying on marketing claims alone.
Factor Generative AI & Agentic AI (This Course) AI Testing Course Data Science Course
Duration ~3–4 months (indicative) 1.5 months 8–9 months
Modules 14 13 12–14
Tools covered ChatGPT/Gemini/Claude APIs, LangChain, LangGraph, FAISS/Chroma/Pinecone, MCP, Python RAGAS, LangSmith, Playwright, Selenium, Python, MCP Python, SQL, ML libraries, Power BI, statistics
Projects 5 hands-on GenAI & agentic AI projects 5 guided AI testing projects 5–6 data science projects
Mode Classroom (Delhi/Noida) + Live Online Live Online Classroom (Delhi/Noida) + Live Online
This is a focused specialization course for building and deploying GenAI and agentic AI applications, not a full data science bootcamp. If you are new to programming, consider building Python fundamentals first, then add this GenAI and agentic AI specialization. If your interest is specifically in testing AI systems rather than building them, the AI Testing course is the better fit.

Where we are not the cheapest option: shorter self-paced courses cost less. If your goal is a quick GenAI refresher rather than a full career transition, a shorter program may suit you better, and it's worth being honest with yourself about which of the two you actually need.

Online vs Offline vs Hybrid — Which Should You Choose?+

This course offers both offline classroom training (at our Delhi and Noida centres) and live online batches. Offline classroom is available at our Delhi and Noida centres; Aligarh learners typically join live online. Live online means working professionals, students and career-changers across Aligarh can join without relocating or long commutes, while still getting instructor-led sessions, real-time doubt-clearing and recorded sessions for revision. If you prefer in-person learning and can travel to Delhi or Noida, classroom batches give you face-to-face interaction, lab access and peer networking. Many learners choose a hybrid pattern: online for most sessions and occasional classroom visits for project reviews or mock interviews. All modes use the same curriculum, tools and projects, so the certificate and skills outcome are equivalent.

Is this course right for you?+

If you want... Recommend
Full GenAI + Agentic AI career transition This Generative AI & Agentic AI course
Already know traditional ML and want to add GenAI skills This Generative AI & Agentic AI course
Quick prompt-engineering upskilling only Consider the AI Testing course instead
Developer wanting to build LLM-powered products This Generative AI & Agentic AI course

Frequently Asked Questions

1. What is the duration of the Generative AI & Agentic AI course in Aligarh?▼

The program is proposed at approximately 3–4 months, with around 100+ hours (indicative) of learning across roughly 60–70 live sessions. Duration is subject to final confirmation. Weekday and weekend batches are both available.

2. Is classroom training available in Aligarh?▼

Classroom training for this course is available at Uncodemy's Delhi and Noida centres, not in Aligarh. Aligarh learners join live online batches, or may travel to the Delhi/Noida centres if they prefer in-person learning.

3. What tools are covered in this course?▼

10+ tools and technologies including ChatGPT/Gemini/Claude APIs, LangChain, LangGraph, FAISS/Chroma/Pinecone, MCP, Python, prompt engineering tools and evaluation/observability tools.

4. Does the course cover AI agents, agentic AI and multi-agent systems?▼

Yes. Module 8 covers AI Agents, Module 9 covers Agentic AI and Module 10 covers Multi-Agent Systems. These are core components of the curriculum, with practical exercises using LangChain and LangGraph.

5. How many projects will I complete?▼

Five hands-on projects spanning RAG applications, AI agents and multi-agent systems. Exact project titles are pending confirmation and will be updated on this page once finalised.

6. Are the classes live or pre-recorded?▼

All sessions are live and instructor-led, with recordings available afterwards for revision. Classroom sessions are available at the Delhi and Noida centres.

7. What is the fee for the course?▼

The program fee is ₹15,500 plus 18% GST. Total fee is ₹18,290. This covers all sessions, materials, projects, certification and career support, with no additional charges.

8. Are EMI options available?▼

EMI options are available at ₹3,048.33 per month for 6 months. The exact amount, tenure and eligibility depend on the payment or financing option you choose — a counsellor can confirm your plan.

9. Is there a demo class before I enrol?▼

Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?▼

We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment, as hiring decisions rest with employers.

11. Who is this course designed for?▼

Developers, aspiring AI engineers, data professionals wanting AI specialisation and working professionals moving into GenAI roles.

12. What is the salary for GenAI/Agentic AI roles?▼

Salary insights for Generative AI and Agentic AI roles are being compiled as this is a fast-evolving specialization. Contact our counsellors for the latest market information, or view our published placement records at uncodemy.com/placement.

13. What job roles can I apply for after this course?▼

GenAI Developer, AI Engineer, LLM Application Developer, Agentic AI Developer, Prompt Engineer and AI Solutions Consultant.

14. Do I need prior coding/Python experience?▼

Basic programming or Python familiarity is helpful. Prior coding experience is recommended for application-development, RAG, agent and deployment modules. A laptop with stable internet is required. Exact prerequisites are pending final confirmation.

15. Are the placement and review figures on this page guaranteed?▼

Statistics are based on Uncodemy's internal records and publicly available review-platform information. Review counts and ratings may change over time. Placement outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package.

16. Is Uncodemy's Generative AI & Agentic AI certificate affiliated with OpenAI, Google or Anthropic?▼

No. This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Anthropic or any other AI vendor whose APIs (ChatGPT, Gemini, Claude) are taught in this course.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Content written by: Mr. Ratan
  • Content rechecked and verified by: Mr. Irshad
  • Course curriculum verified by: Mr. Upendra Kumar Tiwari
  • Technical content verified by: Mr. Upendra Kumar Tiwari
  • Fee verified by: Admin Department
  • Placement figures sourced from internal placement records
  • Review counts verified against respective third-party platforms
  • Last reviewed:

Written by: Mr. Ratan

Reviewed by: Mr. Irshad

Final editorial check:Mr. Gangesh Gaunr, Director at Uncodemy

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Nearest Classroom Training Centres

This Generative AI & Agentic AI course is delivered live online for Aligarh learners, with classroom training available at Uncodemy's Delhi and Noida centres. Aligarh learners join live online batches, and learners who prefer in-person training can visit the Delhi or Noida centres. Uncodemy's Delhi centre is located on the 2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Road, Shakarpur Extension — a 10–15 minute walk from Nirman Vihar Metro Station and Laxmi Nagar Metro Station. Uncodemy's Noida centre is at B 14-15, Udhyog Marg, Block B, Sector 1, Noida.

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Delhi Centre
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Noida Centre
B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Phone+91 9818366550 / +91 8766313646
Emailinfo@uncodemy.com
Free demo classWalk-ins welcomeWheelchair accessible
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