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Best After 12th 9-Month Agentic AI Program in Jalandhar

The expert stage of the agent ladder: thirteen modules that move you from shipping one agent product to designing the platform ten teams build agents on.

Rated on Google4.9556+ reviews

Agentic AI Diploma Program Course in Jalandhar

Enrol in the 9-Month Agentic AI Architect program after 12th at techcadd Jalandhar (4.9★, 556+ reviews). The expert stage, modules 21–33: CDC data pipelines, billion-scale vector infrastructure, A2A interoperability, evaluation services, fine-tuning and RL post-training, voice and multimodal agents, agent platform design and EU AI Act governance.

Key Highlights :

  • Duration: 9 Months
  • Modules: 13
  • Eligibility: 12th Pass, Any Stream
  • Includes: Certificate + Placement Support

Course Overview

Stage 2 produces someone who can ship an agent product. The nine-month Architect track is Stage 3, and this is what it covers: modules 21 to 33 — an ingestion backbone, billion-scale retrieval, cross-organisation protocols, an evaluation service, post-training capability, voice and multimodal agents, a governance layer and a cost model the CFO signs off on.

The stages before it come first and each has its own page: the foundation, modules 01 to 07, on the 3-month program, and the professional track, modules 08 to 20, on the 6-month one. Nothing is removed to make room for this stage — each continues the last, and you never restart a module you have already passed.

What You'll Learn

Every module ends in something you have built and a trainer has reviewed, so the list below is work you will have done rather than topics you will have heard about.

  1. 01

    Twenty million documents, permission-filtered

    Module 22 benchmarks recall and latency across three index configurations at sub-300 millisecond p95 — retrieval as infrastructure rather than as a library call.

  2. 02

    Two post-training modules, not one lecture

    Supervised fine-tuning in Module 29, then DPO or GRPO against verifiable rewards in Module 30, each graded on held-out benchmark gains over the stage before it.

  3. 03

    A security package a CISO would accept

    Threat model, control matrix mapped to OWASP, a continuous red-team pipeline, an incident runbook and a residual-risk register — the actual paperwork that lets an agent touch production.

  4. 04

    The capstone is a platform

    Not an agent. Control plane, registry, eval gates, auto-rollback, chargeback dashboard and a governance pack mapped to the EU AI Act, with a recorded architecture walkthrough.

Course Curriculum

The thirteen expert modules, in teaching order. Each names its topics, the named tool stack used in its labs and the artefact you finish it with. The foundation stage is set out on the 3-month program page and the professional stage on the 6-month one.

Agentic AI Diploma Program01/13

Data Engineering & Knowledge Pipelines — Week 27

  1. 1

    Source connectors and change-data-capture across Drive, SharePoint, Confluence, document management systems and the warehouse.

  2. 2

    Incremental, resumable and idempotent ingestion; document normalisation and layout-aware parsing at volume; deduplication and near-duplicate detection.

  3. 3

    ACL and permission propagation from source system to index; PII classification at ingest.

  4. 4

    Data contracts, schema evolution and lineage; backfill and full-reindex strategies; freshness SLAs and staleness detection.

  5. 5

    Tool stack: Dagster · Airflow · Debezium · dbt · Docling · Unstructured · Iceberg · Delta · Kafka · Presidio · OpenLineage · DuckDB

  6. 6

    Real use: a permission-faithful ingestion backbone — twenty source systems feeding one index nightly, where a document a user cannot open in SharePoint is a document their agent cannot retrieve.

  7. 7

    Deliverable: incremental CDC ingestion pipeline with ACL propagation, lineage tracking, PII tagging, a backfill runbook and a freshness SLA dashboard.

The toolchain

Tools you will actually work in

Everything here is installed on the lab machines and used on live client work, not shown once in a slide and forgotten.

  • DBPLTW
Eligibility

Who can do this course

01

Students straight after 12th

Join from any stream. Nine months of consistent work is the difference between an entry-level AI job and one that carries architectural responsibility, and there is no prerequisite beyond finishing what each module asks.

02

Graduates and final-year students

If you are finishing a BCA, B.Sc or B.Tech, this is the version that puts you in senior interviews rather than fresher drives. You arrive with a platform, a security package and a governance pack.

03

Working engineers

If you already ship software, this is the stage that changes your title. Multi-tenancy, durable execution, evaluation as a service, threat modelling and FinOps are what separate an engineer from an architect.

04

Team leads and technical founders

If you are the person deciding how your company adopts agents, this stage is the decision framework, the reference architecture, the vendor assessment and the compliance obligations, taught with the evidence to defend each choice.

The case for it

Why this programme is worth your year

Permissions are a data engineering problem

Module 21 propagates ACLs from twenty source systems into one index, so a document a user cannot open in SharePoint is a document their agent cannot retrieve. Getting this wrong is how enterprise RAG pilots fail security review.

Post-training, not just prompting

Modules 29 and 30 take a 7–14B model through supervised fine-tuning and then DPO or GRPO against verifiable rewards — lifting tool-call accuracy where no amount of prompting has moved the number.

Agents that talk to other companies' agents

Module 25 publishes an A2A-compliant agent with its own agent card and negotiates structured tasks with a second organisation's agent, under cryptographic identity on both sides.

The governance pack a regulator asks for

Module 33 maps the whole platform to the EU AI Act and the NIST AI Risk Management Framework, with decision logging, bias testing, model cards and a total-cost-of-ownership model.

Why now

Own the platform, not just the agent.

  • An agent platform is a paved road: identity, tools, retrieval, evaluation, guardrails, deployment and budgets are platform services rather than per-team reinventions. A product team ships a compliant, observable, budgeted agent in days, and when a provider deprecates your model, migration becomes a two-day exercise.
  • Building that road is the architect's job, and it is the one AI role that is currently almost impossible to hire for. It requires data engineering, retrieval infrastructure, security architecture, post-training, platform design and enough governance literacy to sign the risk register.
Live coding demonstration on screen at the Agentic AI workshop
Certification

Get certified in Agentic AI Diploma Program

Complete the course with a portfolio of live projects and receive an industry-recognised certificate, plus a documented internship letter accepted by Punjab universities.

Industry CertificateRecognised by employers across Punjab and beyond
Internship LetterBased on real client work, not a simulation
Portfolio of ProjectsLive work you can show in any interview
Placement SupportCV review, mock interviews and hiring drives
techcaddComputer Education · JalandharCertificateof Project ExcellenceThis is to certify thatStudent Name

has designed, built and deployed a live capstone project in Agentic AI Diploma Program, reviewed and graded under industry mentorship.

Course Director
Centre Head
Cert. no. TC/PRJ/2026/4187 · verify at techcaddjalandhar.com
techcaddComputer Education · JalandharCertificateof Course CompletionThis is to certify thatStudent Name

has successfully completed the professional training programme in Agentic AI Diploma Program with a grade of A+.

Course Director
Centre Head
Cert. no. TC/CRS/2026/1930 · verify at techcaddjalandhar.com

Two certificates on completion — the course certificate and a separate capstone project certificate.

Future scope

Where this course takes you

The roles this opens, what they pay in Punjab and beyond, and who is hiring for them — the same figures our free Salary Estimator publishes, not a brochure number.

Lead and staff level, and the destination this stage is built for. Interviews test system design under constraints, security threat modelling, governance and total-cost-of-ownership defence. Show: the agent platform, the CISO security package and the governance pack.

Ownership rather than execution — you decide the pattern, write the decision record and are the person the team asks during an incident. Modules 32 and 33 are precisely this job description.

The role that answers to the CFO as well as the CTO. Unit economics, chargeback, vendor assessment, portfolio-wide quality and the risk register are all graded deliverables in this stage.

The specialist track. Interviews test post-training, benchmark design and honest measurement of agent capability. Show: the SFT and RL post-trained model and the evaluation science portfolio.

Portfolio

Hands-on projects you will ship

Project 01

CDC Ingestion Backbone

Incremental pipeline across twenty source systems with ACL propagation, lineage, PII tagging and a freshness SLA dashboard.

DagsterDebeziumKafkaPresidio
Project 02

Twenty-Million-Document Index

Permission-filtered retrieval at sub-300 millisecond p95, benchmarked for recall and latency across three index configurations.

QdrantMilvuspgvectorscale
Project 03

A2A Interoperable Agent

An agent published with its own agent card, negotiating structured tasks with a second organisation's agent under cryptographic identity.

A2A SDKGoogle ADKSPIFFE
Project 04

Multi-Tenant Evaluation Service

A shared eval platform with calibrated judges, significance testing, drift alarms and a portfolio quality dashboard.

BraintrustInspect AIClickHouse
Project 05

Post-Trained Agentic Model

A 7–14B model taken through supervised fine-tuning and then preference or GRPO training, beating the base model on held-out tool use.

TRLUnslothverlvLLM multi-LoRA
Project 06

Production Voice Agent

Sub-900 millisecond turn latency with barge-in, identity verification and warm handoff, evaluated over 50 real calls.

LiveKitDeepgramCartesiaTwilio
Project 07

Enterprise Agent Platform

The architect capstone: control plane, registry, eval gates, auto-rollback, chargeback dashboard and a governance pack mapped to the EU AI Act.

KubernetesBackstageOPAStructurizr
The working loop

Learn it. Build it. Make it yours.

Every project moves through the same loop: understand the brief, build with guidance, then explain the decisions behind your work.

01

Understand

Break a real requirement into a clear plan and the right tools.

CDC Ingestion Backbone
02

Build

Work hands-on with trainer feedback while the decisions are still easy to change.

Twenty-Million-Document Index
03

Present

Turn the finished work into a portfolio story you can defend in an interview.

A2A Interoperable Agent
Why techcadd

Why students choose techcadd

Nine campuses across Punjab, 4.9★ from 556+ reviews, and a syllabus that is republished each year rather than reprinted.

Capability-gated, not calendar-gated

You advance when a deliverable passes review. Over thirty-nine weeks that matters more, not less — nobody reaches the architect capstone without the thirty-two modules behind it actually passing.

GPU time for the post-training modules

Modules 29 and 30 need real compute. Fine-tuning and RL runs are budgeted and supervised, so a LoRA run is something you have launched rather than read about.

Trainers who still ship

The people teaching platform design and threat modelling are the people writing them for client work, which is why the failure sections cover failures that actually happen.

The whole ladder, no restarts

Thirty-three modules, three stages, one sequence. This is the full programme rather than a track that assumes you will come back for the rest.

FAQs

Frequently asked questions

Find answers to the questions students ask before enrolling.

Thirty-nine weeks in total. This page sets out the expert stage, modules 21 to 33, which is the thirteen weeks that follow the professional stage. Weekday, evening and weekend batches cover the same syllabus, and 1-on-1 training is available if you would rather set your own pace. Every class runs for 2 hours, whichever format you choose.

The nine-month track continues where the six-month one stops. Everything on the 6-month page comes first; this page is the thirteen-module expert extension that follows it — data pipelines and CDC ingestion, billion-scale vector infrastructure, GraphRAG at scale, skill libraries and continual learning, A2A interoperability, browser fleets, evaluation as a service, CISO-grade security architecture, fine-tuning, RL post-training, voice and multimodal agents, platform design with FinOps, and governance.

No. The ladder begins at Module 01 with Python taught from the first line, and the programme is explicitly built for career changers and students joining straight after 12th from any stream. Nine months is simply the longest runway from that starting point to a staff-level job description — by the time this stage begins you have twenty-six weeks of agent engineering behind you.

The opposite. Stage 3 revisits domains you already know at production standard and adds the ones an architect owns: data engineering, vector infrastructure, post-training, voice, platform design and governance. Module 22 is retrieval again, but as ANN index internals, sharding and row-level security across twenty million documents.

You fine-tune. Module 29 takes a 7–14B model through supervised fine-tuning with LoRA or QLoRA on your own tool schemas, and Module 30 then applies DPO, KTO, ORPO or GRPO against verifiable rewards. Both are graded on held-out benchmark gains, with a documented reward-hacking analysis.

Seven portfolio projects at this stage: a CDC ingestion backbone, a twenty-million-document index, an A2A interoperable agent, a multi-tenant evaluation service, a post-trained agentic model, a production voice agent and the enterprise agent platform capstone — which ships with a governance pack mapped to the EU AI Act, a TCO model, a merged open-source pull request and a recorded architecture walkthrough.

Agentic AI Architect, Staff AI Engineer, Head of AI Engineering and Applied AI Engineer. Those interviews test system design under constraints, security threat modelling, governance and cost defence — which is exactly what the platform, the security package and the governance pack are for.

Architect-level agent roles in India currently start well above ₹1,00,000 per month and rise sharply with production evidence, and remote contracts pay more again. This is a role most companies cannot fill at all, which is what the compensation reflects.

No training provider can honestly guarantee a job, and you should be cautious of anyone in Jalandhar who claims one. techcadd guarantees placement support: CV reviews, mock interviews, portfolio preparation and repeated drives with hiring partners across Jalandhar and Ludhiana.

Yes. The stage ends in a documented final evaluation — architecture walkthrough, technical viva and certification — and every student receives an industry-recognised certificate on completion alongside a documented internship letter based on live project work.

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2nd Floor, Crystal Plaza, SCS 78, Opposite PIMS Hospital, Jalandhar, Punjab 144001
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