Cyber Defence
Agents that use your tools and your documents, inside guardrails, with the limits stated honestly. · Live online across Delhi

AI Agent Development in Delhi

Building software agents that can decide which tool to call, look things up in your own documents, and complete a multi-step task. Unlike a fixed workflow, an agent chooses its path — which is powerful and unpredictable, so we constrain what it may touch, log every action and require approval before anything irreversible.

Last updated: 6 August 2026

What this track will not do for you

Agents are unreliable for anything needing guaranteed correctness, and we will not sell one as a replacement for staff. They can misread a document, call the wrong tool, or state something untrue with complete confidence. Everything irreversible stays behind human approval. If a plain rules-based workflow solves your task, we will build that instead.

Who this is for

Suits teams with a repeated task that needs judgement over text and access to several systems: support triage across a knowledge base, internal document question answering, structured research, first-draft report generation. It does not suit financial postings, compliance filings or any action where an incorrect step cannot be caught before it lands.

Prerequisites: You need a well-defined task, documents or data worth retrieving from, and a person who can judge whether an answer is right. You need to accept a testing phase where the agent runs without authority to act. A budget for model usage, separate from build cost, is essential.

The picture in Delhi

Delhi is a trading and services economy rather than a manufacturing one. Wholesale concentrates in Chandni Chowk, Sadar Bazar, Gandhi Nagar for garments and Nehru Place for electronics and IT. Karol Bagh handles jewellery, apparel and the automobile trade. Around that sit professional services, hospitals, coaching, government contracting, hospitality and one of the densest startup and agency populations in India.

Connectivity is effectively saturated, card and UPI usage is high, and customers compare on Google, Zomato, Practo, JustDial and Instagram before they ever call. Quick-commerce and food delivery reset expectations for response time across every category. Traditional wholesale markets now run parallel direct-to-consumer and marketplace channels, and many family firms hired their first digital staff only recently.

Sectors hiring for this in Delhi

Wholesale and retail tradeProfessional and financial servicesIT services and startupsHealthcareHospitality and eventsEducation and coaching

Main centres: New Delhi · Dwarka · Rohini · Karol Bagh · Laxmi Nagar · Pitampura

AI Agent Development syllabus

Proof of concept 2–3 weeks · guarded production rollout typically 6–12 weeks. Every module is hands-on — you work on your own machine from Delhi, never against systems you do not own.

01. Phase 1 — Scoping what an agent should and should not do

  • Separating tasks needing judgement from tasks needing certainty
  • Cost of a wrong action, and whether it is reversible
  • Choosing a fixed workflow instead when that is genuinely better
  • Written boundary list of systems the agent may never write to

02. Phase 2 — Knowledge and retrieval

  • Ingesting your documents, chunking and embedding them
  • Vector search with metadata filters and permission awareness
  • Citation of the source passage behind every answer
  • Handling the case where the answer is genuinely not in the documents

03. Phase 3 — Tools and orchestration

  • Tool definitions with strict input schemas and validation
  • Read-only tools first; write access added deliberately and late
  • Step limits, loop detection and timeouts to stop runaway runs
  • Multi-agent splits only where a single agent measurably fails

04. Phase 4 — Guardrails and evaluation

  • Test set of real cases scored before and after every change
  • Prompt injection testing on any content the agent reads
  • Refusal and escalation behaviour when confidence is low
  • Regression checks so a prompt tweak does not break yesterday

05. Phase 5 — Human oversight and rollout

  • Shadow mode, then suggest mode, then limited autonomy
  • Approval queue for every irreversible action
  • Full audit log of tool calls, inputs, outputs and approvals
  • Kill switch and rollback that a non-technical manager can use

06. Phase 6 — Cost, latency and upkeep

  • Per-task cost and response-time budgets set in advance
  • Model selection per step, caching and spend caps
  • Monitoring override rate as the real quality signal
  • Re-evaluation when a model version is deprecated or replaced

Tools used

Anthropic Claude APIOpenAI APIn8n AI Agent nodesLangGraphPostgreSQL with pgvectorQdrantOllama for local modelsPython and TypeScriptEvaluation harnesses and audit logging

Where this leads

RoleTypical band
Support triage handled faster with human approvalOverride rate reported, not hidden
Internal knowledge lookup across scattered documentsMinutes saved per query, many times a day
AI engineer skill set in the Indian market₹6,00,000 – ₹20,00,000 per year
Analyst freed from first-draft compilation work₹3,60,000 – ₹9,00,000 per year of effort redirected

Salary bands are indicative ranges across India and vary widely with skill, city and employer. Public aggregators disagree considerably on specialist roles, so treat any single figure — including these — as a range, not a promise. We do not guarantee placement.

Fees

These are our published course fees. Specialist tracks like the ai agent development are quoted on the counselling call, because the right scope depends on what you already know — we will not sell you six months of content to teach you something you can cover in six weeks.

Cyber Security Course3–4 months₹15,000
Ethical Hacking Course (CEH-aligned)6 months₹60,000
Digital Forensics2 months / 35 hours₹10,999
CCNA Networking2 months / 45 hours₹8,999

EMI available. No separate lab, material or certificate charges. Vendor exam vouchers (EC-Council, OffSec, CompTIA, AWS, Microsoft) are bought from the vendor — we do not resell them.

AI Agent Development in Delhi — FAQs

Is the AI Agent Development worth doing from Delhi?

Building software agents that can decide which tool to call, look things up in your own documents, and complete a multi-step task. Unlike a fixed workflow, an agent chooses its path — which is powerful and unpredictable, so we constrain what it may touch, log every action and require approval before anything irreversible. Locally, Connectivity is effectively saturated, card and UPI usage is high, and customers compare on Google, Zomato, Practo, JustDial and Instagram before they ever call. The employers who value this here sit in wholesale and retail trade, professional and financial services, it services and startups. Classes are live online, so where in Delhi you live changes nothing about the teaching, the labs or the certificate.

What do I need to know before starting?

You need a well-defined task, documents or data worth retrieving from, and a person who can judge whether an answer is right. You need to accept a testing phase where the agent runs without authority to act. A budget for model usage, separate from build cost, is essential.

What will this NOT do for me?

Agents are unreliable for anything needing guaranteed correctness, and we will not sell one as a replacement for staff. They can misread a document, call the wrong tool, or state something untrue with complete confidence. Everything irreversible stays behind human approval. If a plain rules-based workflow solves your task, we will build that instead.

What is the difference between an AI agent and an automation workflow?

A workflow follows the same steps every time and is predictable. An agent decides its own steps, which handles variety but makes behaviour harder to guarantee. Most business problems are better served by a workflow with one AI step inside it, and we will tell you when that is the case.

Can an agent handle our customer support entirely?

Not responsibly. It can draft answers, retrieve policy from your documents and resolve the repetitive categories, with a human approving or spot-checking. Full autonomy on customer-facing replies risks confident wrong answers going out under your brand name.

Agent kabhi galat jawab de de to zimmedari kiski?

Isi liye hum approval step lagate hain aur poora audit log rakhte hain — kaunsa document use hua, kya tool call hua, kisne approve kiya. Jo kaam irreversible hai, wahan insaan ki haan zaroori hoti hai. Bina review ke agent ko chhod dena hum recommend nahin karte.

How much does an AI agent project cost in India?

Published market ranges for focused single-purpose agents commonly start around ₹40,000 to ₹1,20,000, with multi-agent systems including retrieval and dashboards running considerably higher. Our own quotes sit in that band and are given after scoping, with your model usage billed separately because it depends on your volume.

We have no office in Delhi

Cyber Defence has one campus — Red Square Market, Hisar, Haryana 125001 — and teaches Delhi live online. We do not list addresses we do not have, we publish no star ratings because we have no verified review corpus, and we do not guarantee placement.

We issue a Cyber Defence certificate with a public verification link. We are not an authorised training centre for EC-Council, OffSec, CompTIA, AWS or Microsoft, and we do not resell their exam vouchers.

Ask whether this track is right for you

Free call with Amit Kumar. If a shorter track or a different starting point suits you better, that is what you will hear.

Call +91 75175 72000