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After 12th · 9-month trackJob-ready

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

You learn to build AI agents that do not just answer questions but plan steps, use tools, remember context and finish tasks with little supervision.

4.9 on Google750+ reviews

Diploma Program

Agentic AI

9months

The longest track, with placement preparation.

9 months
Duration
Practical + theory
Mode
12th pass, any stream
Eligibility
Diploma + internship + placement prep
Includes
Course overview

9 months of Agentic AI, built project by project

Agentic AI is taught by building: the modules build on each other, starting with core concepts and ending with deploying and evaluating your own agents. Python is taught from the basics, and the focus stays on logic, workflow design and problem-solving rather than heavy theory. Every module ends with something that works, such as an agent that searches and summarises information or answers questions from documents. You also learn the less glamorous but essential parts — testing, guardrails, cost control and human approval steps — that separate a demo from a real deployment.

The 9-month diploma is the complete route. After the certificate-level modules you specialise, work on an internship-style capstone and spend the final weeks on interview and placement preparation — you leave with nine projects, a diploma and an internship letter in Agentic AI.

Training students since
2007
Students trained
50,000+
Hiring partners
500+

Your 9 months at a glance

  1. Month 1: Foundations of AI, LLMs & Agentic AI
  2. Month 2: Python for AI agents
  3. Month 3: Prompt & context engineering
  4. Month 4: Tool calling & function execution
  5. Month 5: RAG & memory
  6. Month 6: Agent frameworks & orchestration
  7. Month 7: Multi-agent systems & workflow automation
  8. Month 8: Evaluation, safety & deployment
  9. Month 9: Capstone project & career preparation
What you'll learn

Skills you will actually use

By the end of the agentic ai diploma program you can do each of these on your own.

  • M6

    Build agents with frameworks

    You can build an agent with a framework and judge when a simple workflow is better than a full agent.

  • M7

    Design multi-agent workflows

    You can design agents that collaborate and hand over tasks, with human approval where it is needed.

  • M8

    Test and deploy an agent

    You can evaluate an agent's reliability, control its cost and deploy it as a simple application.

  • M9

    Deliver an agent end to end

    You can build, test and present a complete agent and explain it clearly in an interview or to a client.

Course curriculum

One module, one project, every month

  1. Month 01

    Foundations of AI, LLMs & Agentic AI

    Understand how language models work and what makes an AI agent different from a chatbot.

    • OpenAI
    • Anthropic Claude
    • Google Gemini

    Project: Agent loop walkthrough

  2. Month 02

    Python for AI agents

    Learn the Python you need, in a module built for beginners and non-programmers.

    • Python
    • Jupyter
    • VS Code
    • Git and GitHub

    Project: API data script

  3. Month 03

    Prompt & context engineering

    Get accurate, consistent results from a model by controlling its instructions and context.

    • OpenAI
    • Anthropic Claude
    • Google Gemini
    • Jupyter

    Project: Structured summariser

  4. Month 04

    Tool calling & function execution

    Connect an agent to the outside world so it can do more than write text.

    • Python
    • REST APIs
    • Model Context Protocol (MCP)

    Project: Tool-using assistant

  5. Month 05

    RAG & memory

    Make an agent answer from your own data and remember what matters.

    • LlamaIndex
    • Chroma
    • FAISS
    • Pinecone

    Project: Document question-answering assistant

  6. Month 06

    Agent frameworks & orchestration

    Build agents with current frameworks and learn when a simple workflow is the better choice.

    • LangChain
    • LangGraph
    • CrewAI
    • AutoGen

    Project: Research assistant agent

  7. Month 07

    Multi-agent systems & workflow automation

    Design agents that work as a team and connect them to business workflows.

    • CrewAI
    • LangGraph
    • n8n
    • Make

    Project: Lead follow-up automation

  8. Month 08

    Evaluation, safety & deployment

    Check whether an agent is reliable and safe, then put a simple agent app online.

    • LangSmith
    • FastAPI
    • Streamlit

    Project: Tested and deployed agent app

  9. Month 09

    Capstone project & career preparation

    Build one end-to-end agent, present it, and prepare your profile and portfolio.

    • LangGraph
    • FastAPI
    • Streamlit
    • Git and GitHub

    Project: Capstone agent

Inside each month

Open a month, see every topic

Pick a month to see exactly what is taught, which tools you use and what you ship.

Month 1 of 9

Foundations of AI, LLMs & Agentic AI

Understand how language models work and what makes an AI agent different from a chatbot.

  1. How large language models work
  2. Tokens and context windows
  3. Agentic AI vs chatbots
  4. Agentic AI vs Generative AI
  5. The agent loop: goal, plan, act, observe
  6. When an agent is the right choice

Tools this month

  • OpenAI
  • Anthropic Claude
  • Google Gemini

You ship

Agent loop walkthrough

Take an everyday task and map it as an agent loop, showing the goal, the plan, each action and what the agent observes.

Get the detailed syllabus on WhatsApp

The toolchain

Tools you will actually work in

22 tools across 9 months — introduced only when a project needs them.

Everything is installed in our labs. On your own laptop, a mentor helps you set it up in the first week.

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Python
  • Jupyter
  • VS Code
  • Git and GitHub
  • REST APIs
  • Model Context Protocol (MCP)
  • LlamaIndex
  • Chroma
  • FAISS
  • Pinecone
  • LangChain
  • LangGraph
  • CrewAI
  • AutoGen
  • n8n
  • Make
  • LangSmith
  • FastAPI
  • Streamlit
Eligibility

Who can do this course

  • Students after 12th

    Arts, commerce, medical or non-medical — start Agentic AI from zero, before or alongside your degree.

  • College students

    BCA, B.Tech, B.Sc or B.Com students who want real project work next to their syllabus.

  • Graduates & career switchers

    Finished a degree in another field? Build job-ready Agentic AI skills with a portfolio to prove them.

  • Freelancers & family business

    Learn enough Agentic AI to take paid work or bring the skill into your own business.

  • 12th pass in any stream
  • Basic computer and English reading skills
  • No coding background needed
  • A laptop helps — labs are available on campus
Why now

Most people have used a chatbot, but far fewer know how to build an AI system that completes a task from start to finish.

  • Most learners stop at: Uses AI that answers one prompt

    You get to: Builds AI that plans and acts on a goal

  • Most learners stop at: Can write a good prompt

    You get to: Designs a reliable agent connected to tools

  • Most learners stop at: AI replies from general knowledge

    You get to: Agent answers from your documents with RAG

  • Most learners stop at: Demo that works once

    You get to: Agent with testing, guardrails and cost control

Talk to a course advisor

Ten minutes on a call is enough to know whether 9 months of Agentic AI fits your stream, your college plans and your goal.

Sample TechCADD course completion certificate

9 reviewed projects

Certification

Get certified in Agentic AI

You finish the agentic ai diploma program with proof of what you built — not only a piece of paper.

  • Industry certificate

    Online-verifiable certificate that lists your modules, projects and grade.

  • Internship letter

    Issued for live-project work on the longer tracks and accepted for college credit.

  • Portfolio of projects

    One reviewed project per month that you can walk an interviewer through.

  • Placement support

    Resume review, mock interviews and referrals to our hiring partners.

Future scope

Where this course takes you

Four roles Agentic AI learners grow into — each one builds on the last.

  1. Role 1 of 4

    AI Agent Developer

    Builds agents that plan tasks, use tools and data, and complete multi-step work.

  2. Role 2 of 4

    AI Automation Engineer

    Connects AI workflows to business tools to automate repetitive, multi-step tasks.

  3. Role 3 of 4

    LLM Application Developer

    Develops applications on top of language models using prompts, tools and model APIs.

  4. Role 4 of 4

    RAG Developer

    Builds systems that let AI answer accurately from an organisation's own documents and data.

Ask a counsellor about Agentic AI careers

Portfolio projects

9 hands-on projects you will ship

  • Project 01Month 1

    Agent loop walkthrough

    Take an everyday task and map it as an agent loop, showing the goal, the plan, each action and what the agent observes.

    • OpenAI
    • Anthropic Claude
    • Google Gemini
  • Project 02Month 2

    API data script

    Write a Python script that calls an API, reads the JSON response and saves a tidy summary to a file.

    • Python
    • Jupyter
    • VS Code
    • Git and GitHub
  • Project 03Month 3

    Structured summariser

    Build a tool that turns long text into summaries and key points in a fixed, structured format.

    • OpenAI
    • Anthropic Claude
    • Google Gemini
    • Jupyter
  • Project 04Month 4

    Tool-using assistant

    Build an assistant that calls a search tool and a spreadsheet to answer a question and record the result.

    • Python
    • REST APIs
    • Model Context Protocol (MCP)
  • Project 05Month 5

    Document question-answering assistant

    Build an assistant that loads a set of documents and answers questions from them instead of guessing.

    • LlamaIndex
    • Chroma
    • FAISS
    • Pinecone
  • Project 06Month 6

    Research assistant agent

    Build an agent that searches for information on a topic, summarises what it finds and presents a short report.

    • LangChain
    • LangGraph
    • CrewAI
    • AutoGen
  • Project 07Month 7

    Lead follow-up automation

    Build a multi-step workflow in which agents read an enquiry, draft a reply and wait for human approval before sending.

    • CrewAI
    • LangGraph
    • n8n
    • Make
  • Project 08Month 8

    Tested and deployed agent app

    Add tests, tracing and guardrails to an earlier agent and deploy it as a small app with FastAPI and Streamlit.

    • LangSmith
    • FastAPI
    • Streamlit
  • Project 09Month 9

    Capstone agent

    Build and present an end-to-end agent, such as a research assistant, a customer-support agent or a sales-reporting automation.

    • LangGraph
    • FastAPI
    • Streamlit
    • Git and GitHub
The working loop

Learn it. Build it. Make it yours.

Every topic in every month runs through the same three steps.

  1. Step 1

    Understand

    A short concept class with a worked example — you see why before you see how.

  2. Step 2

    Build

    You build it yourself in the lab while a mentor reviews your work and unblocks you.

  3. Step 3

    Present

    You demo the result and answer questions — practice for every interview to come.

Why TechCADD

Why students choose techcadd

A first course after 12th should leave you with skills you can show, not notes you can't use.

Book a free demo
  • Progress by project

    You move on when your project is reviewed and working — not when the month ends.

  • Real tools, real accounts

    The same tools, devices and accounts that working teams use every day.

  • Trainers who still ship

    Mentors who deliver client projects, so what you learn is what is used.

  • A track you can extend

    Start with 3 months and continue to 6 or 9 without repeating a single class.

Why This Program

Why Learn Agentic AI Now?

Most people have used a chatbot. Far fewer know how to build an AI system that completes a task from start to finish. That gap is why this Agentic AI course is worth your time.

  1. 01

    The industry is moving from "AI that answers" to "AI that acts."

    Generative AI writes a reply when you ask. Agentic AI takes a goal, plans the steps, calls tools, checks its own output and keeps going until the job is done. Companies are already testing agents in customer support, sales operations, research, reporting and IT workflows. Industry analysts such as Gartner have forecast that agentic capabilities will appear in a large share of enterprise software over the next few years.

  2. 02

    Employers want people who can build and manage agents, not just use them.

    Knowing how to write a good prompt is no longer a differentiator. What stands out is the ability to design a reliable agent, connect it to business tools, control its mistakes and measure its results. This program trains you for exactly that.

  3. 03

    You learn by building.

    Every module ends with something that works. You will create agents that search and summarise information, answer questions from company documents using RAG, and automate multi-step tasks. You will also learn the less glamorous but essential parts: testing, guardrails, cost control and human approval steps. These are the skills that make the difference between a demo and a real deployment.

  4. 04

    It works for technical and non-technical backgrounds.

    Python is taught from the basics, and the course focuses on logic, workflow design and problem-solving rather than heavy theory. A marketing professional, a commerce graduate and a software tester can all follow the same path, and each can apply it differently.

  5. 05

    It opens several career routes.

    Depending on your background, you can aim for roles such as AI agent developer, AI automation engineer, LLM application developer, prompt and workflow engineer, or AI consultant. You can also freelance by building automations for small businesses and agencies. Many of these roles are available remotely or in hybrid form with companies in Bengaluru, Hyderabad, Pune and Mumbai, so you do not have to relocate to benefit.

  6. 06

    Early learners have an advantage.

    Agentic AI is still a young field. Those who build a solid foundation now will be ahead of the crowd that waits until every employer demands it.

What you leave with: a working understanding of how AI agents are designed, a portfolio of practical projects, and the confidence to explain and demonstrate your skills in interviews or to clients.

Read the full Agentic AI Course page

Learn from Anywhere

Learners from Across States

Because classes run live online, you can join from anywhere in North India. Here is how the course fits learners in each region.

  • Punjab

    An Agentic AI course in Punjab suits professionals in Mohali's IT companies, Ludhiana's manufacturers and exporters who want to automate quotations and order tracking, and graduates in Amritsar and Patiala looking for AI roles at home.

  • Haryana

    Learners in Gurugram and Faridabad working in e-commerce, logistics or IT services can build agents for support, inventory and reporting, and add an AI skill to their current job. This is what makes an Agentic AI course in Haryana useful for them.

  • Himachal Pradesh

    Remote work and freelancing are the main opportunity. Students in Shimla, Solan and Dharamshala can learn online and take AI automation projects from clients elsewhere, without moving to a metro. Interest in an Agentic AI course in Himachal Pradesh is growing for this reason.

  • Chandigarh and Tricity

    Candidates in Chandigarh, Mohali and Panchkula, especially those in BPO, IT support and startups, can move from routine tasks to AI-driven roles. Many look for an Agentic AI course in Chandigarh for this reason.

  • Delhi NCR

    Delhi, Noida and Ghaziabad have the largest fresher job market in the region. Marketers, analysts and fintech or agency staff can use agent skills to stand out. An Agentic AI course in Delhi supports that need.

  • Jammu & Kashmir

    Tourism operators, e-commerce sellers and handicraft businesses in Jammu and Srinagar can use agents for customer queries and bookings. Students can also build remote careers through an Agentic AI course in Jammu & Kashmir.

  • Uttarakhand

    Hospitality, tourism and pharma-linked businesses in Dehradun and Haridwar can automate enquiries and documentation, which makes an Agentic AI course in Uttarakhand practical for working learners.

  • Rajasthan

    Jaipur's tourism, jewellery and textile businesses can use agents for catalogues, customer replies and order follow-ups, so an Agentic AI course in Rajasthan fits both entrepreneurs and graduates.

  • Uttar Pradesh

    Learners in Noida, Lucknow and Meerut can target IT, electronics and retail roles, or prepare for AI-led digital work in government-linked projects, through an Agentic AI course in Uttar Pradesh.

FAQ

Frequently asked questions

25 questions

How long is the Agentic AI Diploma Program?

9 months, with one module and one reviewed project per month. Classes are practical first: most of every session is spent building.

What is the difference between the 3, 6 and 9-month Agentic AI programs?

They share one roadmap. 3 months covers the foundations with guided projects, 6 months reaches portfolio level with an industry certificate and placement support, and 9 months adds specialisation, an internship-style capstone and placement preparation.

I have no coding background. Can I learn Agentic AI?

Yes. You can start without coding experience because Python basics are taught from scratch in the second month. Non-programmers usually take a little longer with the coding-heavy modules, so expect to practise regularly.

What is the difference between Agentic AI and Generative AI?

Generative AI creates content such as text, images or code when you give it a prompt. Agentic AI takes a goal, plans the steps, uses tools and acts until the task is done. In simple terms, Generative AI answers and Agentic AI works.

I have just passed 12th. Is this too advanced for me?

No. 12th-pass students with a strong interest in technology can join, and no prior AI experience is required. A coding background helps but is not compulsory, and you should be ready to put in extra practice.

What do I receive when I finish?

Diploma + internship letter, a portfolio of 9 reviewed projects and placement support with resume review, mock interviews and referrals.

Can I join right after my 12th result, in any stream?

Yes. The program starts from zero and is open to arts, commerce, medical and non-medical students. You only need basic computer skills.

Can I do this alongside college?

Yes. Morning, evening and weekend batches are available, and live online classes come with recordings for revision.

Is placement guaranteed?

No institute can honestly guarantee a job. We give placement support — resume and portfolio reviews, mock interviews and referrals — and keep helping until you are placed.

How do I get fee and scholarship details?

Book a free counselling session or message us on WhatsApp. A counsellor will share the current fee, instalment options and scholarships for your chosen program.

What is the Agentic AI course?

The Agentic AI course teaches you to build AI agents that plan tasks, use tools, remember context and complete multi-step work with little supervision. It covers LLM basics, prompt and context engineering, tool calling, RAG, multi-agent workflows, evaluation and deployment, with hands-on projects in every module.

Who is eligible for the Agentic AI course?

Graduates, postgraduates, working professionals, job switchers, freelancers and business owners from any stream can join. 12th-pass students with a strong interest in technology can also enrol, but they should be ready for extra practice. No prior AI experience is required.

Is the Agentic AI course suitable for beginners?

Yes, the course starts from the basics and teaches Python from scratch. Beginners should expect to practise regularly, because building agents needs hands-on coding and logical thinking, but you do not need a computer science degree.

Can I learn Agentic AI without coding experience?

Yes, you can start without coding experience, because Python basics are taught in Module 2. Non-programmers usually take a little longer with the coding-heavy modules, and the small batches and trainer support are meant to help with that.

What is covered in the Agentic AI syllabus?

The syllabus has nine modules: AI and LLM foundations, Python, prompt and context engineering, tool calling and MCP, RAG and memory, agent frameworks, multi-agent workflows, evaluation and deployment, and a capstone project. Tools include LangChain, LangGraph, CrewAI, n8n, vector databases and major model APIs.

Which tools and frameworks will I learn?

You will work with Python, VS Code, Git, LangChain, LangGraph, CrewAI, LlamaIndex, vector databases such as Chroma and FAISS, n8n, FastAPI and Streamlit. You will also use model APIs from providers such as OpenAI, Anthropic and Google.

Will I get a certificate after completing the course?

Yes, learners receive a techcadd course completion certificate. A certificate helps, but employers mainly look at your portfolio and projects.

Can I learn Agentic AI online, or do I have to attend offline?

You can choose either one. Live online classes let you join from any state, and offline batches are available at the Jalandhar centre in Punjab. Both modes follow the same practical, project-based approach.

What jobs can I get after an Agentic AI course?

You can aim for roles such as AI agent developer, AI automation engineer, LLM application developer, RAG developer, prompt and workflow engineer or AI consultant. Existing professionals can also use these skills to automate work in their current roles.

Can I do freelancing after this course?

Yes, many learners use these skills to offer services such as customer-reply bots, lead follow-up automation, document question-answering systems and reporting workflows. Freelancing works best when you build a few strong portfolio projects and understand a client's business problem.

Can students from Himachal Pradesh join the Agentic AI course online?

Yes, students from Himachal Pradesh can join live online classes from anywhere in the state. Since opportunities in hospitality, tourism and pharma-linked businesses often involve remote or freelance work, this is a practical way to take an Agentic AI course in Himachal Pradesh without moving to a metro.

What are the Agentic AI job opportunities in Punjab and Haryana?

In Punjab, opportunities are growing in IT and startups, as well as in manufacturing and export businesses that need automation. In Haryana, e-commerce, logistics, automobile and IT services companies are the main employers. Both states also offer remote roles with companies in Bengaluru, Hyderabad, Pune and Mumbai.

Is the Agentic AI course useful for students in Jammu & Kashmir and Uttarakhand?

Yes, it is useful for both, and online classes remove the need to travel. In Jammu & Kashmir, sellers and tourism or handicraft businesses can use agents for enquiries and orders, and in Uttarakhand, hospitality, tourism and pharma-linked businesses can automate bookings and documentation. Learners can also pursue remote jobs and freelancing.

Can learners from Delhi, Rajasthan and Uttar Pradesh join the Agentic AI course?

Yes, learners from Delhi NCR, Rajasthan and Uttar Pradesh can attend live online sessions and work on the same projects. Delhi has the largest fresher market for AI roles, Rajasthan's tourism and textile businesses can adopt agents for customer handling, and Uttar Pradesh offers openings in IT, electronics and retail.

Is the Agentic AI course relevant for students in Chandigarh and Tricity?

Yes, an Agentic AI course in Chandigarh is useful for people in IT, BPO, startups and education-related work who want to move into AI automation roles. Because the course is online-friendly, you can learn while continuing your job in the Tricity area.

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2nd Floor, Crystal Plaza, SCS 78, Opposite PIMS Hospital, Jalandhar, Punjab 144001Mon – Sat: 9:00 AM – 7:00 PM

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