Best After 12th 6-Month Agentic AI Program in Jalandhar
A complete 6-month program that turns you from a beginner into someone who can build, secure and deploy AI agents that work reliably for real users at a manageable cost.
Agentic AI Certificate Program Course in Jalandhar
Enrol in the 6-Month Agentic AI program after 12th at techcadd Jalandhar (4.9★, 556+ reviews). Learn async engineering, model routing, DSPy, production MCP, GraphRAG, durable execution, multi-agent systems, browser and coding agents, red teaming, Kubernetes and unit economics — all in 6 practical months.
Key Highlights :
- Duration: 6 Months
- Mode: Practical + Theory
- Eligibility: 12th Pass, Any Stream
- Includes: Certificate + Placement Support
Course Overview
This 6-month program covers the complete journey from Python basics to production-ready AI agents. The first half builds your foundation — Python from the first line, the command line and Git, HTTP and APIs, how language models actually work, prompting, tool calling, RAG, memory and graph orchestration. The second half is the professional half: async engineering, model routing and self-hosted serving, DSPy optimisation, production MCP gateways, GraphRAG, durable execution, multi-agent systems, browser and coding agents, evaluation harnesses, red teaming, Kubernetes deployment and unit economics.
You advance when your work passes review, not when the calendar says so. Every topic specifies the same four things — subjects in teaching order, the named tool stack, the commercial problem it solves and the project you keep.
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
Reliability engineering, not prompt tips
Bounded concurrency, circuit breakers, dead-letter queues and resumable checkpoints. This is where an agent stops being a notebook and starts being software.
- 02
A 200-attack red-team report
You attack your own agent with an automated injection suite and grade the before-and-after. It is the single most requested artefact in an AI security interview.
- 03
Durable execution that survives a deploy
The process is killed mid-task on purpose. The agent resumes exactly where it stopped and compensates the side effect that half-completed.
- 04
Cost per successful task
Not cost per token. Routing, caching and small-model substitution are graded on a measured spend reduction, because that is the number a business acts on.
Course Curriculum
The full 6-month syllabus, organised month by month. Each section names its topics, the tool stack used in labs and the project you finish it with. The first three months build the foundation from nothing; the next three months are the professional half.
Month 1 — Python, LLM Prompting & Tool Calling
- 1
Python from scratch — syntax, variables, data structures, loops, functions, classes, type hints and async/await; virtual environments with uv and pip.
- 2
The command line, Git and GitHub — navigation, commits, branches, pull requests and .gitignore.
- 3
HTTP, REST APIs, JSON, API keys and bearer tokens; SQL basics with PostgreSQL; Docker and containerisation.
- 4
How language models work — transformers explained by intuition rather than heavy maths; tokens, context windows and temperature; system, user and assistant roles.
- 5
The four properties of an agent — goal-directedness, tool use, memory and autonomy — and, just as important, when not to use an agent at all.
- 6
Prompting techniques — few-shot, chain-of-thought, and structured output with JSON schema and Pydantic validation.
- 7
Tool calling — writing tool descriptions and parameter schemas, and building the ReAct loop by hand with no framework.
- 8
Model Context Protocol (MCP) — servers, clients, resources and transports; wrapping a REST API as a set of tools.
- 9
Tool stack: Python · Git · GitHub · FastAPI · PostgreSQL · Docker · Claude API · OpenAI API · Pydantic · MCP SDK
- 10
Deliverable: a containerised API service, a model comparison notebook, and a published MCP server with 5+ tools and a hand-written ReAct loop.
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.
- WEPLLADS
Who can do this course
Students straight after 12th
Join from any stream. Six months is the shortest honest span in which a complete beginner reaches an AI Engineer job description, and the weekday and weekend batches both run the full ladder.
Graduates and final-year students
If you are finishing a BCA, B.Sc or B.Tech, this is the version of the programme that changes which interviews you are invited to. You arrive with a red-team report and a Kubernetes deployment, not a course certificate.
Working developers
If you already write Python, the foundation topics are quick and the professional topics are the real value. Containers, evaluation, security and cost engineering are what separate a developer from someone who can also ship and run what they wrote.
Career changers
The weekend batch exists for people already earning. Six months of evenings and Saturdays is enough to move into AI engineering without leaving your current job first.
Why this programme is worth your year
Reliability, not just capability
Async concurrency, rate limits, retries with jitter, circuit breakers, resumable checkpoints and dead-letter queues. This is the difference between a notebook demo and a batch job that survives the night.
Cost is an engineering problem
Model routing sends trivial work to a small local model and only hard reasoning to a frontier one — the standard route to a 60–80% inference-cost reduction with no measurable quality loss.
Attack it before someone else does
You run a 200-attack automated red-team suite against your own agent, with a before-and-after mitigation report. Prompt injection is the defining unsolved risk of tool-using systems, and defence is architectural.
Multi-agent, measured honestly
You do not assume more agents are better. You build the system, then report head-to-head against a single-agent baseline on cost, latency and success rate — which is the question a reviewer will ask.
Make it work every time.
- An agent that works in a demo and an agent that works in production are different pieces of software. The second one has bounded concurrency, a routing layer, durable state that survives a deploy, typed contracts between components, an evaluation suite gating every release and a cost figure per successful task.
- That gap is currently the most valuable thing an AI engineer can close. Companies have agents in production and almost nobody who can evaluate, secure and operate them — and this course teaches exactly that skill set.
Get certified in Agentic AI Certificate 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 Certificate 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 Certificate 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.
Mid level, and the most common destination from this course. Interviews test evaluation methodology, cost control and production incidents you have personally handled. Show: the model router, the red-team report and the Kubernetes deployment with an SLO.
Senior-adjacent. Interviews test multi-tenancy, durable execution, gateway design and observability at scale. Show: the durable procurement agent and the OAuth-protected MCP gateway.
The role that connects agents to the systems a company already runs. The production MCP section is exactly this job — scoped tools, audit logs and per-user permissions rather than a shared API key.
On-call for agents. Tracing, drift detection, shadow deployment, canary releases and the cost dashboard — the work this course grades you on in the evaluation, deployment and cost-engineering sections.
Hands-on projects you will ship
Async LLM Client Library
Rate-limited, retried, cached and fully typed, with 90%+ test coverage and a resumable 100,000-record enrichment run behind it.
Multi-Provider Model Router
Cascading router with automatic fallback and a self-hosted vLLM endpoint, benchmarked across five models on cost, quality and latency.
GraphRAG Retrieval Service
Hybrid search plus reranking plus a knowledge graph, with an ablation study quantifying what each component actually contributed.
Durable Procurement Agent
A multi-day workflow that survives a forced restart mid-execution and correctly compensates a partially completed order.
Browser & Coding Agent Pair
A 10-step authenticated portal workflow at 90%+ reliability over 20 runs, alongside a coding agent that closes three real GitHub issues.
200-Attack Red-Team Report
A full threat model with an automated injection suite and a measured before-and-after mitigation result, plus an incident runbook.
Kubernetes Agent Deployment
Autoscaled, canary-released platform defined in Terraform, with a load-test report and a published SLO and error budget.
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.
Async LLM Client LibraryBuild
Work hands-on with trainer feedback while the decisions are still easy to change.
Multi-Provider Model RouterPresent
Turn the finished work into a portfolio story you can defend in an interview.
GraphRAG Retrieval ServiceWhy students choose techcadd
Nine campuses across Punjab, 4.9★ from 556+ reviews, and a syllabus that is republished each year rather than reprinted.
Progress based on skill, not calendar
You advance when a deliverable passes review. Nobody reaches the capstone without every previous topic actually passing.
Real infrastructure, licensed and supervised
Kubernetes clusters, self-hosted vLLM endpoints and live model APIs with per-student budgets — so the load test is a load test, not a thought experiment.
Trainers who still ship
The people teaching Temporal workflows and MCP gateways are the people writing them for client work, which is why the failure sections cover failures that actually happen.
A ladder you can extend
Finish here at 6 months, or continue into the 9-month Architect track later. The extension picks up exactly where this course ends — you never repeat what you have already passed.
Frequently asked questions
Find answers to the questions students ask before enrolling.
Six months in total. The first three months cover the foundation topics and the next three months cover the professional topics. 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 3-month program covers the foundation topics — Python, prompting, tool calling, RAG, memory, graph orchestration and a deployed capstone. The 6-month program includes all of that and then adds the professional topics on this page: async engineering, model routing, DSPy, production MCP, GraphRAG, durable execution, multi-agent systems, browser and coding agents, evaluation, red teaming, Kubernetes and unit economics.
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. By the time you reach the professional topics you already have a solid foundation of Python, tool calling and retrieval behind you.
LangGraph and LangGraph Platform, Temporal for durable execution, DSPy for prompt optimisation, LiteLLM and vLLM for routing and self-hosted serving, Qdrant, Weaviate, Neo4j and Microsoft GraphRAG for retrieval, Playwright and Browser Use for web agents, LangSmith, Langfuse and Braintrust for evaluation, Garak and PyRIT for red teaming, and Kubernetes, Helm, Terraform and ArgoCD for deployment. Each tool is used in a hands-on project, not just mentioned.
Seven portfolio projects: an async LLM client library, a multi-provider model router, a GraphRAG retrieval service, a durable procurement agent, a browser-and-coding agent pair, a 200-attack red-team report and a Kubernetes agent deployment. They finish in the capstone — a live multi-user product with an eval dashboard, an SLO, a cost model and a public technical write-up.
AI Engineer, LLM Application Engineer and Agent Platform Engineer. Those interviews test evaluation methodology, cost control and production incidents you have personally handled — which is what the red-team report, the model router and the Kubernetes deployment are for.
An engineer with a production agent, an evaluation platform and a security report typically starts around ₹35,000 – ₹70,000 per month in the Jalandhar and Ludhiana market, and more in remote roles. Agent engineering is currently one of the few fields where supply is well behind demand.
Yes, and nothing is repeated. The 9-month program picks up exactly where this course ends — an expert extension covering data pipelines, billion-scale retrieval, A2A interoperability, evaluation services, post-training, voice and multimodal agents, platform design and governance. It has its own page.
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 — capstone demonstration, 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 Certificate 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 Certificate 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.