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Admissions open · Internship & TrainingNew
Agentic AI Training in Jalandhar
Go beyond chatbots and build AI agents that plan, use tools, remember context and complete multi-step tasks.
- Live client projects
- Practitioner trainers
- Placement support
- Certificate + internship
Program snapshot
Agentic AI · Intermediate
- 1LLM foundations, Python & prompt engineering
- 2Tool calling, RAG & agent frameworks
- 3Multi-agent systems, evaluation & capstone
- Classroom, online & 1-on-1
- Mode
- Live client work
- Projects
- Industry recognised
- Certificate
- Internship letter
- Includes
Choose your track
One program, three depths
Same trainers and live projects on every track. Pick the length that fits your semester or career plan — a counsellor shares fees and scholarships.
3months
Fast track
3-Month Training
Core skills and guided projects for students on a short timeline or professionals upskilling.
- Core modules & tools
- 2 guided projects
- Training certificate
6months
Most chosen
6-Month Industrial Training
University-approved industrial training with a live project, training report and internship letter.
- Full syllabus + live project
- University report & letter
- Placement assistance
9months
Job-ready
9-Month Diploma + Internship
Everything in the 6-month track plus advanced modules and an internship on real client work.
- Advanced specialisation
- Internship with experience letter
- Priority placement support
- Students trained since 2007
- 50,000+
- Google rating
- 4.9★
- Practical, project-based
- 100%
- Hiring partners
- 500+
Overview
Industry-ready, lab-first training
Agentic AI training is for learners who want to go beyond chatbots and build AI systems that plan, decide and act. An agent breaks a goal into steps, uses tools and APIs, remembers context and completes the task with minimal human supervision. You learn large language model fundamentals, prompt and context engineering, tool calling, retrieval-augmented generation (RAG), multi-agent workflows and agent evaluation.
You work with current frameworks such as LangChain, LangGraph and CrewAI alongside leading model APIs, and Python basics are included, so you can start without a deep coding background. Every module is project-based, so you finish with working agents — a research assistant or a workflow automation bot, for example — for your portfolio. Classes run live online, with offline batches at the Jalandhar centre.
- LLM fundamentals
- Python for AI agents
- Prompt & context engineering
- Tool calling & MCP
- RAG & agent memory
- Agent frameworks
- Multi-agent workflows
- Evaluation & guardrails
What you get
Included on every track.
- Practical, lab-first learning in every class
- AI tools built into your daily workflow
- Live client projects you can show employers
- An internship letter on the 6 and 9-month tracks
- Small batches with same-day doubt clearing
Who can join: Graduates, professionals, job switchers and freelancers from any stream — Python basics are taught from scratch.
Syllabus
What you will actually build
3 phases, each ending in work you can show. Tap a phase or use the arrow keys to explore.
Phase 1 of 3
LLM foundations, Python & prompt engineering
Learn how large language models and agents work, and build the Python and prompting skills every agent needs.
- How LLMs, tokens & context windows work
- Agentic AI vs chatbots & generative AI
- The agent loop: goal, plan, act, observe
- Python basics, APIs & JSON
- Git, GitHub & environment set-up
- System prompts, structured outputs & few-shot examples
By the end: You can explain how agents work and write Python that gets clear, structured output from a model.
Phase 2 of 3
Tool calling, RAG & agent frameworks
Connect agents to tools and your own data, then build them with the main agent frameworks.
- Tool calling with search, databases & business APIs
- Model Context Protocol (MCP)
- Document loading, chunking & embeddings
- Vector databases & RAG
- Short-term & long-term agent memory
- LangChain, LangGraph & CrewAI
By the end: You can build an agent that answers from your own documents, calls real tools and uses the right framework for the job.
Phase 3 of 3
Multi-agent systems, evaluation & capstone
Design agents that collaborate, test and safeguard them, deploy a simple agent app and present a capstone.
- Collaborating agents & task hand-over
- Human-in-the-loop approval
- Low-code automation with n8n
- Testing, tracing, debugging & guardrails
- Prompt-injection awareness, cost & latency control
- Deployment with FastAPI & Streamlit
By the end: You can build, evaluate and deploy an end-to-end agent and present it as a portfolio project.
Why learn it now
Why learn Agentic AI now
The industry is moving from AI that answers to AI that acts. People who can design a reliable agent, connect it to business tools, control its mistakes and measure its results stand out from those who only use chat tools.
LLM fundamentalsPython for AI agentsPrompt & context engineeringTool calling & MCPRAG & agent memoryAgent frameworksMulti-agent workflowsEvaluation & guardrails
PythonJupyter & VS CodeGit & GitHubOpenAI, Claude & Gemini APIsLangChainLangGraphCrewAIAutoGenLlamaIndexChroma, FAISS & PineconeModel Context Protocol (MCP)n8n & MakeLangSmithFastAPIStreamlit
Eligibility
Built for where you are now
Graduates, professionals, job switchers and freelancers from any stream — Python basics are taught from scratch.
Graduates & postgraduates
From any stream, use a project portfolio to enter AI agent, automation and workflow roles.
Working professionals
Automate repetitive work in IT, marketing, finance, HR, operations or customer support.
Business owners & founders
Learn what agents can and cannot do before automating sales follow-ups, support and reporting.
Job switchers
Move from non-technical or traditional IT roles into AI through a structured, project-based path.
Freelancers & agency owners
Offer AI workflow automation, research agents and lead-handling bots to clients.
Toolchain
Real tools, not slideware
You install, configure and ship with every one of these in the lab — the stack employers expect on day one.
Python
Core programming language
Jupyter & VS Code
Coding environment
Git & GitHub
Version control
OpenAI, Claude & Gemini APIs
Large language model access
LangChain
Agent framework
LangGraph
Agent orchestration
CrewAI
Role-based multi-agent teams
AutoGen
Agent framework
LlamaIndex
Agent framework for your own data
Chroma, FAISS & Pinecone
Vector databases for RAG
Model Context Protocol (MCP)
Standardised tool access
n8n & Make
Low-code workflow automation
LangSmith
Evaluation & tracing
FastAPI
Serving an agent app
Streamlit
Simple agent app interfaces
Industry recognised
Course Completion Certificate
QR-verifiable certificate with your course, duration, registration number and certificate ID.
Live project
Project Completion Certificate
Names the live project you built, its tools and dates — issued with your internship letter for university training credit.
Certification
Proof you can put on the table
Every certificate has a unique number that anyone can verify on techcaddjalandhar.com.
Industry certificate
Online-verifiable certificate listing your modules, projects and grade.
Internship letter
Experience letter for your live-project internship, accepted for university credit.
Portfolio of projects
Four reviewed projects on GitHub or Behance that you can walk an interviewer through.
Placement support
Resume and portfolio review, mock interviews and referrals until you are hired.
Future scope
Where Agentic AI can take you
Straight answers to the career questions students ask us most.
01Which job roles can I apply for?
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.
02How does an agentic AI career grow?
Agentic AI is still a young field, so growth follows what you can demonstrate: experience and a strong portfolio of working agents matter most. Existing professionals can also grow in their current roles by automating work with these skills.
03Can I freelance with agentic AI skills?
Yes. Typical services include customer-reply bots, lead follow-up automation, document question-answering systems and reporting workflows. Freelancing works best when you have a few strong portfolio projects and understand the client's business problem.
04Who hires agentic AI developers?
Demand comes from IT and start-up teams, digital agencies, fintech, media, e-commerce and logistics firms, and from manufacturers, exporters, tourism and retail businesses that need automation. Many roles are also open remotely or in hybrid form.
05What should I learn next?
Keep building: go deeper into evaluation, safety and deployment, and take RAG and multi-agent design further on larger projects. The field changes quickly, so staying current with frameworks and model APIs is part of the work.
Portfolio projects
Four builds, one portfolio
Each project is reviewed by a trainer and published to your portfolio before you move on.
- Fundamentals build
Summariser with structured output
Use Python and a model API with clear system prompts and few-shot examples to summarise text into a fixed, structured format.
- Python
- Model API
- Prompting
- Real-world challenge
Document question-answering assistant
Load, chunk and embed a set of documents, then build a RAG assistant that answers from that data.
- RAG
- Embeddings
- Vector database
- Live client brief
Customer-support agent with approval steps
Build an agent that handles enquiries through tool calls and hands sensitive actions to a human for approval.
- Tool calling
- LangGraph
- Human-in-the-loop
- Portfolio capstone
Multi-agent research and reporting system
Design collaborating agents that research and report, add guardrails and tests, and deploy it as a simple app.
- CrewAI
- Evaluation
- Streamlit
How every class runs
The working loop
Repeated for every module, so the job feels familiar before you get it.
- 1
Understand the brief
Every task starts like a real job: a brief, a deadline and a clear definition of done.
- 2
Build with guidance
You build it yourself in the lab while a mentor reviews your work and unblocks you.
- 3
Present & defend
Demo your work and answer questions — practice for interviews and client calls.
Why TechCADD
Why students pick TechCADD
Practising trainers
Mentors who still ship real projects for clients.
Live project coursework
Real briefs, not copy-paste sample projects.
Small batches
Personal attention and same-day doubt clearing.
Internship included
Longer tracks include an internship and experience letter.
Placement support
Resume, mock interviews and referrals to 500+ partners.
Since 2007
Nearly two decades of training students across North India.
Compare
TechCADD vs other institutes
What changes when training is built around live work.
| What matters | TechCADD | Typical institute |
|---|---|---|
| Training style | Hands-on labs every class | Mostly theory & slides |
| Projects | Live client briefs & capstone | Sample projects only |
| Batch size | Small batches | Large classrooms |
| Trainer background | Working industry professionals | Full-time trainers only |
| Internship | Included in longer tracks | Rarely offered |
| Placement support | Resume, mock interviews & referrals | Job list on request |
| Doubt clearing | Same day, 1:1 if needed | Weekly, if at all |
| Certification | Verifiable certificate + internship letter | Paper certificate |
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.
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.
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.
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.
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.
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.
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.
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.
Student reviews
From people who trained here
4.9750+ Google reviews
Learning modes
Learn the way that fits your week
Switch modes if your schedule changes — your projects and progress move with you.
Classroom training
Lab-based batches at our North India branches.
Online live classes
Interactive live sessions with recordings for revision.
Weekend batches
Saturday–Sunday batches for college students and working people.
1-on-1 training
Personal mentoring at your pace and schedule.
FAQ
Questions about Agentic AI
22 questions
Can I join without coding experience?
Yes. The training starts from the basics and teaches Python from scratch, and you do not need a computer science degree. 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. Agentic systems often use generative AI models as their brain.
Which tools and frameworks will I learn?
You work with Python, VS Code, Git, LangChain, LangGraph, CrewAI, LlamaIndex, vector databases such as Chroma and FAISS, n8n, FastAPI and Streamlit, along with model APIs from the major providers.
Can I learn Agentic AI online?
Yes. Live online classes let you join from any state, and offline batches are available at the Jalandhar centre. Both modes follow the same practical, project-based approach.
Will this training get me an AI job?
It gives you the skills and a portfolio of working agents, which is what employers mainly look at. Outcomes still depend on your skills, portfolio and the roles you apply for — the training does not promise a job.
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.
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.
Is placement guaranteed?
No institute can honestly guarantee a job. We provide placement assistance — resume and portfolio reviews, mock interviews and referrals to 500+ hiring partners — and keep supporting you 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, EMI options and scholarships for your chosen track.
Can I attend a free demo class first?
Yes. Book a free demo using the form on this page or call us. You can attend at any branch or join a live online class.
Not sure if Agentic AI is the right fit?
Sit in a free demo class or talk to a counsellor about your background and goals — no obligation.
Enquire now
Start your Agentic AI journey
Tell us a little about yourself — we'll suggest the right track, share fee and scholarship details and book your free demo.
2nd Floor, Crystal Plaza, SCS 78, Opposite PIMS Hospital, Jalandhar, Punjab 144001Mon – Sat: 9:00 AM – 7:00 PM