Best After 12th 9-Month Agentic AI Program in Jalandhar
A complete 9-month journey — from Python basics to designing the AI platform that entire teams build on. Every month adds a new real-world skill.
Agentic AI Diploma Program Course in Jalandhar
Enrol in the 9-Month Agentic AI Program after 12th at techcadd Jalandhar (4.9★, 556+ reviews). Learn 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
- Mode: Practical + Theory
- Eligibility: 12th Pass, Any Stream
- Includes: Certificate + Placement Support
Course Overview
This 9-month program takes you from beginner to architect level. You will learn to build 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 course is structured month by month. Early months cover foundations and core agent skills (also available as the 3-month and 6-month programs). Later months build advanced, production-grade systems. Each month continues from the last, so your skills grow steadily without gaps.
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.
- 01
Twenty million documents, permission-filtered
You benchmark recall and latency across three index configurations at sub-300 millisecond p95 — retrieval as infrastructure rather than as a library call.
- 02
Two post-training topics, not one lecture
Supervised fine-tuning first, then DPO or GRPO against verifiable rewards, each graded on held-out benchmark gains over the previous baseline.
- 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.
- 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
Nine months of hands-on learning, organised month by month. Each month names its topics, the tools used in labs and the project you finish it with.
Month 1 — Data Engineering & Knowledge Pipelines
- 1
Source connectors and change-data-capture across Drive, SharePoint, Confluence, document management systems and the warehouse.
- 2
Incremental, resumable and idempotent ingestion; document normalisation and layout-aware parsing at volume; deduplication and near-duplicate detection.
- 3
ACL and permission propagation from source system to index; PII classification at ingest.
- 4
Data contracts, schema evolution and lineage; backfill and full-reindex strategies; freshness SLAs and staleness detection.
- 5
Tool stack: Dagster · Airflow · Debezium · dbt · Docling · Unstructured · Iceberg · Delta · Kafka · Presidio · OpenLineage · DuckDB
- 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
Deliverable: incremental CDC ingestion pipeline with ACL propagation, lineage tracking, PII tagging, a backfill runbook and a freshness SLA dashboard.
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
Who can do this course
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 month asks.
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.
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.
Team leads and technical founders
If you are the person deciding how your company adopts agents, this course gives you the decision framework, the reference architecture, the vendor assessment and the compliance obligations, taught with the evidence to defend each choice.
Why this programme is worth your year
Permissions are a data engineering problem
You learn to propagate 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
You 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
You publish an A2A-compliant agent with its own agent card and negotiate structured tasks with a second organisation's agent, under cryptographic identity on both sides.
The governance pack a regulator asks for
You map 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.
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.
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.
Computer Education · JalandharCertificateof Project ExcellenceThis is to certify thatStudent Namehas designed, built and deployed a live capstone project in Agentic AI Diploma Program, reviewed and graded under industry mentorship.
Computer Education · JalandharCertificateof Course CompletionThis is to certify thatStudent Namehas successfully completed the professional training programme in Agentic AI Diploma Program with a grade of A+.
Two certificates on completion — the course certificate and a separate capstone project certificate.
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 course 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. The platform design and governance months 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 course.
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.
Hands-on projects you will ship
CDC Ingestion Backbone
Incremental pipeline across twenty source systems with ACL propagation, lineage, PII tagging and a freshness SLA dashboard.
Twenty-Million-Document Index
Permission-filtered retrieval at sub-300 millisecond p95, benchmarked for recall and latency across three index configurations.
A2A Interoperable Agent
An agent published with its own agent card, negotiating structured tasks with a second organisation's agent under cryptographic identity.
Multi-Tenant Evaluation Service
A shared eval platform with calibrated judges, significance testing, drift alarms and a portfolio quality dashboard.
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.
Production Voice Agent
Sub-900 millisecond turn latency with barge-in, identity verification and warm handoff, evaluated over 50 real calls.
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.
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.
Understand
Break a real requirement into a clear plan and the right tools.
CDC Ingestion BackboneBuild
Work hands-on with trainer feedback while the decisions are still easy to change.
Twenty-Million-Document IndexPresent
Turn the finished work into a portfolio story you can defend in an interview.
A2A Interoperable AgentWhy students choose techcadd
Nine campuses across Punjab, 4.9★ from 556+ reviews, and a syllabus that is republished each year rather than reprinted.
You advance when your work passes review
Each month ends with a deliverable that must pass review before you move on. Nobody reaches the architect capstone without the earlier months actually passing.
GPU time for the post-training months
Fine-tuning and RL months 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 journey, no restarts
Nine months, one continuous sequence. This is the full programme rather than a track that assumes you will come back for the rest.
Frequently asked questions
Find answers to the questions students ask before enrolling.
Nine months in total, covering foundations through advanced AI. 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 in the 6-month program comes first; the remaining months cover 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 course begins 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 takes you from that starting point to a staff-level job description, building real skills every month.
The opposite. The advanced months revisit domains you already know at production standard and add the ones an architect owns: data engineering, vector infrastructure, post-training, voice, platform design and governance. You learn retrieval early on, then return to it as ANN index internals, sharding and row-level security across twenty million documents.
You fine-tune. You take a 7–14B model through supervised fine-tuning with LoRA or QLoRA on your own tool schemas, then apply DPO, KTO, ORPO or GRPO against verifiable rewards. Both topics are graded on held-out benchmark gains, with a documented reward-hacking analysis.
Seven portfolio projects across the course: 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 course 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.
Ask about Agentic AI Diploma Program
Send your question and a counsellor will call you back about batch timings, fees, EMI options, placement record, or whether this course fits your degree.
- info@techcadd.com
- Phone
- +91 98881 22254
- Address
- 2nd Floor, Crystal Plaza, SCS 78, Opposite PIMS Hospital, Jalandhar, Punjab 144001
- Counselling hours
- Monday – Saturday, 9:00 AM – 7:00 PM
Not sure if Agentic AI Diploma Program is the right fit?
One call with a counsellor is usually enough to find out. Book a free demo class and see the lab before you decide.