Advanced Generative AI And Agentic AI Training In Gurgaon helps freshers learn LLMs, RAG, and multi-agent systems to build real-world AI applications.
Level
Advanced
Duration
8 Weeks



.png)



















.png)
















Advanced Generative AI And Agentic AI Training In Gurgaon by TechPratham equips learners with practical skills in LLM integration, Retrieval-Augmented Generation (RAG), and multi-agent system design. Gurgaon, a major NCR tech hub, hosts leading IT parks in Cyber City, Udyog Vihar, and Golf Course Road where companies like Accenture, Deloitte, and Nagarro drive AI innovation. This training focuses on enterprise-ready architecture, real-world projects, cloud deployment, AI security, and performance optimization. Learners gain hands-on experience aligned with Gurgaon’s corporate ecosystem, preparing them for high-demand roles in generative and agentic AI across global organizations.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Python for AI & Automation (Foundation Layer)
Python for AI & Automation (Foundation Layer) builds core Python skills to automate tasks and create a strong base for AI and machine learning development.
Introduction to Agentic AI & LLM Ecosystem
A foundational overview of how autonomous AI agents work with large language models to plan, reason, and execute tasks across modern AI systems.
Basics of LangChain and LangGraph
An introductory overview of using LangChain and LangGraph to build, connect, and orchestrate intelligent, multi-step AI workflows.
Python SDK and Node Configuration
An overview of setting up the Python SDK and configuring nodes to build, connect, and manage scalable AI workflows efficiently.
Exploring LangGraph Core Concepts
A concise introduction to building stateful, multi-step AI workflows using LangGraph for agent orchestration and decision-making.
Multi-Agent Setup with LangGraph
A practical introduction to designing and orchestrating multiple AI agents that collaborate and share state using LangGraph.
No related courses found




Test your knowledge...
Can't find a batch you were looking for?
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Generative AI Engineer
Agentic AI Developer
LLM Application Engineer
AI Solutions Architect
Senior Machine Learning Engineer
NLP Engineer
ML Ops Engineer
AI Platform Engineer
Generative AI Engineer
Agentic AI Developer
LLM Application Engineer
Enterprise AI Knowledge Assistant – Cyber City Gurgaon Use Case
In this project, learners design a Generative AI-powered enterprise knowledge assistant tailored for corporate environments like DLF Cyber City, Gurgaon. The system retrieves internal policies, summarizes documents, and provides accurate business insights using advanced LLM and RAG architecture. Key Highlights: • Build Retrieval-Augmented Generation (RAG) pipelines with vector databases. • Implement secure document indexing and semantic search mechanisms. • Design prompt engineering strategies to reduce hallucinations. • Deploy scalable APIs for enterprise system integration.
Multi-Agent Business Process Automation – Udyog Vihar Gurgaon
This project focuses on building an Agentic AI system that automates complex business workflows for organizations in Udyog Vihar, Gurgaon. Learners create collaborative AI agents capable of planning, task delegation, and autonomous execution. Key Highlights: • Design multi-agent architecture with memory and reasoning layers. • Integrate REST APIs, databases, and external tools. • Implement monitoring dashboards for workflow tracking. • Optimize system reliability, latency, and scalability.
AI-Powered Financial & Analytics Copilot – Golf Course Road Gurgaon
In this project, learners develop an AI analytics copilot designed for financial and consulting firms located around Golf Course Road, Gurgaon. The system analyzes datasets, generates insights, and produces automated reports using advanced Generative AI models. Key Highlights: • Build AI-driven data summarization and insight generation pipelines. • Integrate Python-based analytics and visualization tools. • Implement automated report generation with structured outputs. • Apply governance controls for accuracy and compliance validation.

What practical projects are included in Advanced Generative AI And Agentic AI Training In Gurgaon?
How does Advanced Generative AI And Agentic AI Training In Gurgaon prepare candidates for real MNC interviews?
What is the difference between learning basic Generative AI and advanced Agentic AI systems?
Does Advanced Generative AI And Agentic AI Training In Gurgaon cover enterprise cloud deployment?
What industries in Gurgaon are actively adopting Generative and Agentic AI solutions?
How important is Python for Advanced Generative AI And Agentic AI Training In Gurgaon?

C-2, Sector-1, Noida, Uttar Pradesh - 201301
LVS Arcade, 6th Floor, Hitech City, Hyderabad