CDC Ingestion Backbone
An incremental pipeline across twenty source systems with ACL propagation, lineage, PII tagging and a freshness SLA dashboard.
- Dagster
- Debezium
- Kafka
- Presidio
Best After 12th 9-Month Agentic AI Program in Phagwara
Rated on Google4.9556+ reviews
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 Course in Phagwara
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.
Key Highlights
- Duration:
- 9 Months
- Eligibility:
- 12th Pass (Any Stream)
- Mode:
- Classroom, Weekend & 1-on-1
- Includes:
- Certificate + Placement Support
Overview
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 indexed and permission-filtered at sub-300ms p95, benchmarked across three index configurations
- 02
Two post-training topics, not one lecture
supervised fine-tuning, then DPO or GRPO against verifiable rewards
- 03
A security package a CISO would accept: threat model, control matrix, red-team pipeline, incident runbook and residual-risk register
- 04
An A2A-compliant agent negotiating structured tasks with another organisation’s agent under cryptographic identity
- 05
A multi-tenant evaluation service with calibrated judges, significance testing and a portfolio quality dashboard
- 06
A capstone that is a platform
control plane, registry, eval gates, auto-rollback, chargeback and an EU AI Act governance pack
SyllabusHands-on
Course Curriculum
The syllabus is arranged so every module produces an asset rather than a set of notes. You will cover month 1 — data engineering & knowledge pipelines, month 2 — retrieval at scale & vector infrastructure, month 3 — graphrag, knowledge graphs & agentic retrieval, month 4 — memory architecture & multi-agent systems, and finish with a live project built on Dagster, Airflow & Debezium, dbt, Iceberg & Kafka, Docling, Unstructured & Presidio. Modules run in the order a real project runs: foundations first, then the core skills, then applied work under supervision, then the portfolio and interview preparation that turn all of it into an offer letter.
Agentic AI02/04
Core Skills
The working knowledge the job description actually lists.
Month 3 — GraphRAG, Knowledge Graphs & Agentic Retrieval
Questions that need relationships traversed rather than text matched.
4 weeks · 24 sessions
Month 4 — Memory Architecture & Multi-Agent Systems
Agents that improve themselves, and agents that talk to other companies’ agents.
4 weeks · 24 sessions
Month 5 — Computer Use, Browser Fleets & Autonomous Coding
Fleet-scale automation with drift detection, and coding agents that land real pull requests.
4 weeks · 24 sessions
Topics covered
Query planning and decompositionKnowledge-graph construction: entity and relation extraction, ontology designCommunity detection; global versus local queriesCorrective and self-RAG loops; agentic retrieval where the agent plans its own searchesStructured-data agents with text-to-SQL, schema grounding and guardrailsRetrieval error analysis at scaleFull memory taxonomy and lifecycle; consolidation, decay and forgetting policiesTemporal knowledge graphs and bi-temporal facts; conflict detection and resolutionSelf-editing memory; procedural memory and skill libraries agents write for themselvesExperience replay and case-based reasoning; memory evaluation methodologyRetention, residency and right-to-erasure engineeringTopology selection and coordination theory; typed inter-agent contractsBlackboard and shared-workspace designs; market, auction and negotiation protocolsDebate and adversarial verificationThe Agent2Agent protocol — agent cards, discovery, task lifecycle and streamingAgent identity, authentication and delegated authorisationFailure modes: cascading errors, context contamination, infinite handoff and cost explosionVision-grounded versus DOM-grounded control; accessibility-tree action spacesSelf-healing automation and drift detectionSecure credential injection without exposing secrets to the modelIsolated virtual desktops and egress control; legal and terms-of-service considerationsCoding agents at scale: repository-level context, planning and test-driven loopsPatch validation, multi-repo refactors and agent-in-CI review
The toolchain
Tools you will actually work in
Everything below is installed on the lab machines and used on live client work, not shown once in a slide and forgotten.
- Dagster, Airflow & Debezium
- dbt, Iceberg & Kafka
- Docling, Unstructured & Presidio
- Qdrant, Milvus, Weaviate & pgvectorscale
- Neo4j, GraphRAG & ColBERT
- Letta, Zep, Graphiti & Mem0
- A2A Protocol SDK, Google ADK & SPIFFE
- Playwright, Browser Use & E2B
- Braintrust, Inspect AI & LangSmith
- Garak, PyRIT & Lakera Guard
- TRL, PEFT, Unsloth & Axolotl
- verl, OpenRLHF & vLLM
- LiveKit, Deepgram & Cartesia
- Kubernetes, Helm, Terraform & ArgoCD
- Temporal, Envoy & Backstage
- Open Policy Agent, OpenCost & Structurizr
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 month 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 course gives you the decision framework, the reference architecture, the vendor assessment and the compliance obligations, taught with the evidence to defend each choice.
The case for itWhy this programme
Why this programme
is worth your year
Building the paved road — identity, tools, retrieval, evaluation, guardrails, deployment and budgets as platform services — is the architect’s job, and it is the one AI role that is currently almost impossible to hire for. That gap is the whole argument for this course: there is local demand, there are budgets, and there are very few trained people to hand the work to.
Build skills that hold up beyond the classroom.
What separates this from a playlist of tutorials is supervision on real work. From the second half of the course you build on live client projects with a trainer beside you, make decisions that have consequences, and correct them the following week. That loop is the skill. No employer in Phagwara will take your word for it without work they can inspect.
Be realistic about the money. A fresher who finishes with a working portfolio starts near the bottom of the band and moves quickly; someone who finishes with a certificate and nothing to show does not. The difference is entirely what you built.
The alternative is what most people try first: free videos, a cheap online course, six months of drifting, and knowledge you cannot demonstrate. A structured programme with live projects, a mentor who corrects you, an internship letter and a placement cell that actually calls employers is the difference between knowing the subject and being hired to do it.
Students reach the Phagwara centre from Banga, Nakodar, Kartarpur and the university belt, and the weekend batch exists so a job or a degree does not have to be paused to attend.
- 01
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.
- 02
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.
- 03
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.
- 04
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.
Why now
An Agent Platform Is a Paved Road
- Identity, tools, retrieval, evaluation, guardrails, deployment and budgets become 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.
Certification
Get Certified in Agentic AI
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 Certificate
Recognised by employers across Punjab and beyond
- Internship Letter
Based on real client work, not a simulation
- Portfolio of Projects
Live work you can show in any interview
- Placement Support
CV review, mock interviews and hiring drives
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 — drawn from published job-market listings, 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.
- 05AI Platform Engineer
- 06AI Security Architect
Salary outlook — Agentic AI Architect
Designs the platform entire teams build agents on. This is a role most companies cannot fill at all, which is what the compensation reflects.
- Starting
- ₹1,00,000+/month
- After 2 years
- ₹1,80,000–₹3,50,000+/month
Indicative ranges compiled from public job-market listings. Actual offers vary by employer, skillset and interview performance.
Who is hiring for this
- Enterprises standing up an internal agent platform
- Product companies with agents in production and nobody able to operate them
- Consultancies delivering agent architecture and governance to clients
- Remote and contract roles, where this skill set is in severe short supply
Portfolio
Hands-on projects you will ship
Twenty-Million-Document Index
Permission-filtered retrieval at sub-300 millisecond p95, benchmarked for recall and latency across three index configurations.
- Qdrant
- Milvus
- pgvectorscale
A2A Interoperable Agent
An agent published with its own agent card, negotiating structured tasks with a second organisation’s agent under cryptographic identity.
- A2A SDK
- Google ADK
- SPIFFE
Multi-Tenant Evaluation Service
A shared eval platform with calibrated judges, significance testing, drift alarms and a portfolio quality dashboard.
- Braintrust
- Inspect AI
- ClickHouse
Post-Trained Agentic Model & Voice Agent
A 7–14B model taken through supervised fine-tuning then preference or GRPO training and beating the base model on held-out tool use — plus a production voice agent at sub-900ms turn latency with barge-in and warm handoff.
- TRL
- Unsloth
- verl
- LiveKit
Enterprise Agent Platform (Capstone)
The architect capstone: control plane, registry, eval gates, auto-rollback, chargeback dashboard and a governance pack mapped to the EU AI Act, with a TCO model and a recorded architecture walkthrough.
- Kubernetes
- Backstage
- OPA
- Structurizr
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
Take a real requirement apart before touching a tool — what is being asked, what it needs, and which part to build first.
CDC Ingestion Backbone
- 02
Build
Work hands-on with your trainer watching the screen, so a wrong turn is caught in the same session rather than three weeks later.
Twenty-Million-Document Index
- 03
Present
Walk through what you built and why you built it that way. This is the interview rehearsal, run against every project rather than once at the end.
A2A Interoperable Agent
Why techcadd
Why students choose techcadd
There are many places to learn this in Phagwara and the brochure syllabus looks similar at all of them. What differs is who teaches, whether you ever touch real work, and whether anyone picks up the phone after you have paid. techcadd has trained students across Punjab since 2007 on the same model: small batches, working practitioners as trainers, client projects as coursework.
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. 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.
FAQs
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.
Course information
Ask about Agentic AI
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.
- Free counselling and demo class
- Weekday, evening, weekend or 1-on-1, all 2-hour classes
- Internship letter and placement support
Get started today
Not sure if Agentic AI 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.