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ML & AI LONG-TERM PROGRAM

No-Code Agentic AI Development Course

Ship AI agents that do real work — without writing production code.

DURATION
4 months
FEE
₹34,999
PAYMENT
₹10,000 × 4
FORMAT
Live · online
✓ Live mentor-led classes✓ Lifetime recordings✓ Certificate + placement support
No-Code Agentic AI Development course training in India — Careers Ninza, Kolkata
QUICK ANSWERS

No-Code Agentic AI Development course fee: ₹34,999 all inclusive, or No-Cost EMI of ₹10,000 × 4 with zero interest.

Duration: 4 months, part-time, with live weekday evening sessions from 7pm IST and weekend workshops.

Format: Live online across India, plus classroom batches in Kolkata, Asansol and Durgapur. Every session recorded and yours for life.

Who it suits: Beginner to job-ready. No prior experience required.

You finish with: Three running automations you built, a verifiable certificate, and twelve months of placement support.

Roles it prepares you for: AI automation specialist, Business process automation lead, Operations analyst, No-code developer.

About the No-Code Agentic AI Development course

Four months of building agentic workflows that actually run in a business: reporting, research, lead handling, document processing and internal handoffs. No-code and low-code tooling, real inputs, real guardrails.

Built for people who need AI to do work rather than to be studied. You leave with running automations, not notebooks.

Who this program is for

If two or more of these describe you, this is the right course.

— Working professionals automating their own role
— Operations, HR and finance staff drowning in repetitive work
— Founders and consultants who want AI leverage without a dev team
— Marketers and analysts building research and reporting agents
— Career switchers targeting AI automation roles

What you will learn

1 Decide which tasks an agent should own and which it should not
2 Build multi-step agentic workflows on n8n and Make
3 Write prompts and system instructions that hold up in production
4 Connect LLMs to sheets, CRMs, email, WhatsApp and databases
5 Use RAG to ground an agent in your own documents
6 Add guardrails, human review and cost control before rollout

No-Code Agentic AI Development syllabus

11 modules, each taught live and reviewed by a mentor.

1 Module 1 — Foundations: what agents are and when to use one View
•The distinction that governs everything: automation follows a path you specified, an agent chooses its own path at runtime
•Chatbot, workflow, AI-assisted workflow and agent compared on cost, predictability and maintenance burden
•The four components of every agent: model, tools, memory, control loop
•Deciding correctly between a script, a workflow and an agent — and why the cheapest correct answer is usually a workflow
•Task decomposition: breaking a business process into steps a machine can attempt
•Failure modes to design for: hallucination, loops, tool misuse, cost runaway, silent degradation
•Cost and latency arithmetic per run, and building a budget before building the agent
•Case survey of processes that genuinely suit agents across Indian businesses
2 Module 2 — Working with language models properly View
•Model landscape: OpenAI, Anthropic, Google, Meta and open-weight options, with cost and capability trade-offs
•Tokens, context windows, temperature, top-p and how each affects output reliability
•System prompts versus user prompts, and structuring instructions a model will follow consistently
•Structured output: JSON schemas, function calling, and forcing parseable responses
•Few-shot prompting, chain-of-thought and when each earns its token cost
•Prompt versioning and treating prompts as code rather than text you edit in place
•Reducing hallucination: grounding, constrained outputs, refusal instructions, confidence signalling
•Model selection per task: routing cheap tasks to small models and reserving capable models for reasoning
•Multilingual work: Hindi, Bengali, Tamil and other Indian languages, with realistic quality expectations
3 Module 3 — n8n in depth View
•n8n architecture: nodes, connections, executions, credentials, and self-hosted versus cloud
•Triggers: webhook, schedule, polling, app-based, and choosing the right one
•Core nodes: HTTP request, code, set, IF, switch, merge, split in batches, loop over items
•Data transformation between nodes and handling the item structure correctly
•Error handling: error workflows, retry logic, continue-on-fail, and dead letter patterns
•Sub-workflows and modular design so logic is reusable rather than duplicated
•Credential management and secret handling without embedding keys in nodes
•Self-hosting n8n: Docker deployment, environment variables, queue mode, backups
•Execution logs, debugging a failed run, and replaying with modified data
•Cost control: execution limits, batching, and avoiding unnecessary model calls
4 Module 4 — Make and platform comparison View
•Make fundamentals: scenarios, modules, routers, iterators, aggregators
•Data mapping and functions in Make, and where its model differs from n8n
•Error handlers, rollback and commit behaviour
•Zapier for simple cases and when its limits become binding
•Platform selection framework: complexity, volume, cost, self-hosting need, team skill
•Migration considerations and avoiding lock-in
•When no-code is the wrong answer and a developer is genuinely required
5 Module 5 — Integrations across the business stack View
•REST API fundamentals: methods, headers, status codes, pagination, rate limits
•Authentication patterns: API keys, OAuth 2.0, bearer tokens, HMAC signatures
•Google Workspace: Sheets as a data store, Docs generation, Drive, Gmail, Calendar
•Microsoft 365: Excel, Outlook, SharePoint, Teams notifications
•CRM integration: HubSpot, Zoho, Salesforce, Freshsales — records, deals, activity logging
•WhatsApp Business API in India: provider selection, template approval, opt-in compliance, conversation pricing
•Payment and finance: Razorpay, Stripe, Tally and Zoho Books integration patterns
•Databases: Postgres, MySQL, Airtable, Supabase as agent-accessible stores
•Webhooks in both directions, and building an endpoint other systems can call
•Handling files: PDF, image, spreadsheet ingestion and output generation
6 Module 6 — Retrieval-augmented generation without code View
•Why RAG exists: grounding an agent in information the model was never trained on
•Document ingestion pipeline: source connection, extraction, cleaning, normalisation
•Chunking strategy: size, overlap, semantic versus fixed splitting, and why bad chunking ruins retrieval
•Embeddings explained practically: what a vector is, model choice, dimensionality, cost
•Vector stores: Supabase pgvector, Pinecone, Qdrant, Weaviate — setup and trade-offs
•Retrieval: similarity search, hybrid search combining keyword and vector, metadata filtering
•Reranking and why skipping it separates a demo from something usable
•Citation and source attribution so every answer can be checked
•Keeping a knowledge base current: incremental updates, deletions, versioning
•Diagnosing retrieval failure before blaming the prompt
7 Module 7 — Building agentic workflows View
•Single-agent architecture: goal, tool set, memory, stopping condition
•Tool design: naming, description writing, input schemas, and how descriptions change model behaviour
•Memory design: short-term conversation state versus long-term persistent knowledge
•Multi-step reasoning patterns: plan-and-execute, ReAct, reflection loops
•Multi-agent orchestration: specialist agents, handoff protocols, supervisor patterns
•Human-in-the-loop checkpoints and where approval is non-negotiable
•Routing and classification agents that direct work to the right process
•Idempotency and safe retries so a rerun does not duplicate customer contact
•Building a supervisor that detects and stops a misbehaving agent
8 Module 8 — Guardrails, evaluation and governance View
•Hard limits: maximum steps, maximum cost per run, timeout, kill switch
•Scoped tool permissions and read-only defaults
•Prompt injection: treating retrieved content and user input as untrusted, and defensive patterns
•PII handling, redaction, and DPDP Act obligations for Indian businesses
•Building a golden evaluation set: 20 to 50 real cases with known correct outcomes
•Defining correctness: exact match, acceptable range, or human judgement
•Regression testing before every prompt or model change
•Logging every decision, tool call, input and output for auditability
•Monitoring in production: success rate, escalation rate, cost per run, latency
•Incident response when an agent does something wrong in front of a customer
9 Module 9 — Applied automation patterns View
•Document processing: invoices, purchase orders, forms with variable layouts — extraction, validation, approval routing
•Enquiry qualification and routing: classification, CRM lookup, enrichment, urgency scoring, human handoff
•Reporting and reconciliation: multi-source data pull, variance detection, narrative generation
•Internal knowledge assistant: policy and SOP answers with citations, over your own documents
•Research and monitoring agents: competitor pricing, tender listings, regulatory changes
•Content operations: product description generation from specifications, with human editing gate
•Recruitment operations: CV screening assistance with bias awareness and human decision retained
•Finance operations: expense categorisation, payment matching, exception flagging
•Customer support triage with sentiment routing and escalation rules
10 Module 10 — Deployment, measurement and rollout View
•Baseline measurement before automation: hours, error rate, turnaround time, cost per unit
•Pilot design: narrow scope, verifiable output, defined success criteria
•Change management: bringing the team who does the work into the build
•Rollout sequencing and running parallel with the manual process during validation
•Post-launch measurement against baseline and calculating genuine ROI
•Ownership and maintenance: who fixes it, monitoring cadence, prompt drift
•Documentation and handover so the automation survives staff change
•Scaling from one process to a portfolio without accumulating unmaintainable sprawl
11 Module 11 — Capstone: automate a real process end to end View
•Week 1–2: process selected and mapped as it actually happens, including informal exceptions; baseline measured
•Week 3–5: deterministic workflow built and tested, integrations connected, error handling in place
•Week 6–9: agentic components added where the path genuinely varies; RAG knowledge base built if required
•Week 10–12: guardrails, evaluation suite and logging implemented; parallel run against manual process
•Week 13–15: measured results against baseline, cost per run established, documentation written
•Week 16: rollout plan and results presented to mentors, including what the agent should never be allowed to do
•Deliverables: three running automations, a measured time-and-error case study, an evaluation suite and a governance checklist

Tools you will work in

n8nMakeZapierOpenAI / Claude APIsAirtableGoogle WorkspacePinecone / Supabase

What you walk out with

OUTCOME
Three running automations you built
OUTCOME
A measured time-saved case study
OUTCOME
A governance checklist for your team

Roles this prepares you for

Salary depends on your city, experience and the strength of your project, so we do not publish package figures we cannot substantiate.

AI automation specialistBusiness process automation leadOperations analystNo-code developer

Fees and payment

TOTAL PROGRAM FEE
₹34,999
All inclusive. No registration or material charges.
PAYMENT PLAN
₹10,000 × 4
No interest, no processing fee. First instalment at enrolment.
✓  Live classes with a working practitioner
✓  Lifetime access to every recording
✓  Weekly doubt-clearing session
✓  Certified project reviewed by a mentor
✓  Rejoin any future batch free if you fall behind

No-Code Agentic AI Development training across India

Batches run live online, so the class is identical wherever you join from — same trainer, same time, same fee. No city-based pricing. Classroom batches run in Kolkata, Asansol and Durgapur.

TIER 1 CITIES

Ahmedabad, Bengaluru, Chennai, Delhi, Hyderabad, Kolkata, Mumbai, Pune.

TIER 2 CITIES

Agra, Ajmer, Amritsar, Bhopal, Bhubaneswar, Chandigarh, Coimbatore, Dehradun, Faridabad, Ghaziabad, Gwalior, Indore, Jaipur, Jamshedpur, Kanpur, Kochi, Lucknow, Mysore, Nagpur, Nashik, Patna, Raipur, Surat, Vadodara, Visakhapatnam.

TIER 3 CITIES

Bathinda, Bikaner, Cuttack, Etawah, Gandhinagar, Hajipur, Hosur, Jhansi, Junagadh, Madurai, Mathura, Meerut, Rajahmundry, Rohtak, Roorkee, Salem, Udaipur, Vijayawada.

See all locations across India →

No-Code Agentic AI Development — frequently asked questions

Still unsure? Call an advisor on +91 90888 39993.

What is the No-Code Agentic AI Development course fee in India?+

The No-Code Agentic AI Development course fee at Careers Ninza is ₹34,999, inclusive of everything. You can pay it as ₹10,000 × 4 under our No-Cost EMI plan, with no interest and no processing charge. The fee covers all live classes, lifetime recordings, weekly doubt-clearing sessions, assessments, the mentor-reviewed capstone project and placement assistance.

Is No-Code Agentic AI Development available online across India?+

Yes. Every batch runs live online, so you can join No-Code Agentic AI Development from anywhere in India. We currently have students from Kolkata, Asansol, Durgapur, Siliguri, Howrah, Gwalior, Patna, Ranchi, Bhubaneswar, Guwahati, Pune, Mumbai and many other cities, plus learners outside India. On-site delivery is available in Kolkata, Asansol and Durgapur, and on request in other cities for corporate or campus groups.

How long is the No-Code Agentic AI Development course and what is the weekly time commitment?+

No-Code Agentic AI Development runs for 4 months. Plan on six to eight hours a week: two live weekday evening sessions plus project work, with occasional weekend workshops. Working professionals complete it without taking leave.

Do I need prior experience to join No-Code Agentic AI Development?+

Beginner to job-ready. The course starts from first principles and the mentor calibrates pace to the batch. No technical or coding background is required. If a specific prerequisite genuinely matters for your goal, the advisor will tell you honestly on the counselling call rather than take the enrolment.

Who teaches No-Code Agentic AI Development?+

A working practitioner in the field, not a full-time trainer. Careers Ninza has more than 100 industry mentors who teach while still doing the job, so the examples come from current work rather than a textbook. You can ask which mentor is assigned to your batch before enrolling, or meet them at a free live masterclass.

What will I build during the No-Code Agentic AI Development course?+

One real capstone project, scoped in the first fortnight and carried through every module: three running automations you built. It is reviewed by your mentor with written feedback, and it is what interviewers or clients actually discuss with you afterwards.

Is the No-Code Agentic AI Development certificate recognised?+

You receive a verifiable Careers Ninza industry certificate with a unique ID and a public verification link, issued by Ninza Career Solutions Pvt. Ltd. once your project is accepted. It is an industry certificate, not a government-accredited degree or diploma, and we say so plainly. Its weight comes from the reviewed project behind it.

Does No-Code Agentic AI Development include placement support?+

Yes. Long-term programs include portfolio review, resume and LinkedIn clinics, mock interviews with working professionals, and referrals to our hiring partner network, for twelve months after completion. There is no success fee and no income-share agreement. We do not guarantee employment, and we would be cautious of any institute that does.

What career roles does No-Code Agentic AI Development prepare me for?+

AI automation specialist, Business process automation lead, Operations analyst, No-code developer. Salary depends on your city, prior experience and the strength of your project, so we do not publish package figures we cannot substantiate; an advisor will give you an honest band for your target role and city.

What if I miss classes or fall behind in No-Code Agentic AI Development?+

Every session is recorded and stays yours for life. There is a weekly doubt-clearing slot where you can bring your own work, and if you fall too far behind you may rejoin any future batch of No-Code Agentic AI Development free of charge, with no conditions.

How is No-Code Agentic AI Development at Careers Ninza different from a recorded online course?+

It is live and never pre-recorded. There is no cheaper self-paced tier, because removing the live class removes the reason the course works. Batches are capped so a quiet student still gets asked questions, and the mentor reviews your project personally rather than auto-marking a quiz.

Can I see a No-Code Agentic AI Development class before paying?+

Yes. Careers Ninza runs free live masterclasses every week. Reserve a seat, watch a practitioner teach for ninety minutes, ask questions, and then decide. To enrol or to ask which batch suits you, call +91 90888 39993 or message us on WhatsApp.

How do I enrol in No-Code Agentic AI Development?+

Call +91 90888 39993, email [email protected], or send an enquiry on WhatsApp from this page. An advisor confirms whether No-Code Agentic AI Development fits your goal, then sends written confirmation of your batch, the fee and No-Cost EMI of ₹10,000 × 4. Seats are capped, so batches close once full.

No-Code Agentic AI Development across India — city questions

Same class, same fee, same mentor, wherever you are.

Is No-Code Agentic AI Development available in my city?+

Yes. Every batch runs live online, so learners across India attend the same class in real time — including Visakhapatnam, Guwahati, Patna, Ahmedabad, Surat, Vadodara, Rajkot, Faridabad, Gurugram, Bengaluru and every other city and town. There is no separate recorded version for students outside Kolkata, and no city has a different curriculum.

Does the No-Code Agentic AI Development course fee change by city?+

No. The fee is ₹34,999 everywhere in India, with the same No-Cost EMI of ₹10,000 × 4. We do not price differently for metro and non-metro learners, and there are no travel or centre charges for online batches.

Do you have a classroom centre near me?+

Classroom batches run in Kolkata, Asansol and Durgapur. Everywhere else in India is served by live online delivery, which most working professionals and students prefer. On-site delivery in other cities is available for corporate teams and college groups on request.

What are the batch timings for people in different time zones within India?+

India runs on a single time zone, so timings are identical nationwide: weekday evening sessions from 7pm IST with weekend workshops. Every session is recorded and stays yours for life, so a late shift or travel never costs you a module.

Will placement support help me find work in my own city?+

Yes. Our hiring partner network covers roles across Indian cities, and a growing share of openings are remote and open to candidates anywhere in India. We share your profile only with your consent, for a specific role. We do not guarantee employment.

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Seats in every batch are capped

Talk to an advisor for fifteen minutes. We will tell you whether No-Code Agentic AI Development fits your goal — or which program does instead.

APPLY NOW CALL +91 90888 39993