Skip to content
After 12th · 1 Year Certificate · TechCadd AmritsarTrending

Generative AI Training Course in Amritsar

Generative AI course in Amritsar
A job-oriented, practical Generative AI course — AI tools, prompt engineering, AI-powered content creation, image generation, productivity applications and automation.
1 yearBeginner to advancedClassroom & live online
  • 4.7/5

    Student rating

  • 10

    Structured modules

  • 3+

    Portfolio projects

  • 12th pass

    Entry requirement

Course Overview

TechCadd's Generative AI in Amritsar is aimed at students who have just finished 12th — whatever they have or have not done before. The early modules cover Foundations of AI & Generative AI, Python for AI and Prompt Engineering, so nothing later assumes knowledge you were never given. From there you take on Large Language Models in Practice and Retrieval-Augmented Generation. The second half is where it turns practical: you work in Python 3, ChatGPT, LangChain, Hugging Face, Claude API and Jupyter the way a team actually does, against briefs that carry a real deadline. Each module ends in something you have built and a trainer has reviewed, so you finish with a portfolio, a CV built around it and interview practice for Generative AI Associate, AI Application Developer and Prompt Engineer roles.

Programme facts
  • LevelBeginner to advanced
  • ModeClassroom & live online
  • Eligibility12th pass, any stream
  • BatchesMorning, evening & weekend
  • CertificationTechCadd industry certificate
  • InternshipIncluded — second semester

Not sure this is the right track?

A counselling call maps your background against the syllabus before you commit to anything. It takes about twenty minutes.

Book a counselling call

Generative AI Training in Amritsar

Generative AI Training in Amritsar

Anyone can prompt a model; the employable skill is building something reliable on top of one, which means retrieval, guardrails and evaluation you can defend.

The generative ai programme runs across 1 year at TechCadd Amritsar and is built for students who have just finished school — no degree, no prior experience and no coding background assumed. Two hours a day, five days a week, in batches small enough that your work is looked at individually.

You can take it as a standalone career course, run it alongside a degree in the evening or weekend batch, or use it to fill a drop year with something a recruiter will actually read. Whichever route you take, the finish line is the same: a certificate, 3 reviewed projects and a portfolio you can talk through in an interview.

  • 12th pass, any stream, and no entrance test
  • Every concept is built before it is examined
  • Mentors are working practitioners, not career trainers
  • Lab access and doubt sessions outside batch hours
Module by module

Open any module and see exactly what happens inside it

Module by module curriculum
This course is structured to take learners from Generative AI fundamentals to practical AI applications, with concepts reinforced through hands-on exercises and projects.
Module 01 of 10AI & Data

Foundations of AI & Generative AI

Foundations of AI & Generative AI is where the Generative AI track gets its footing. You work the concepts in the lab first, then carry them straight into the running project rather than leaving them as isolated exercises.

Skills you build

  • How generative AI differs from traditional ML
  • How large language models work
  • Understanding the why, not just the tool

Tools in this module

Python 3ChatGPTLangChainHugging Face
You finish with

A reviewed piece of work demonstrating how generative ai differs from traditional ml and how large language models work.

How the programme is paced

Three stages, in the order a working practitioner learns them

Programme stages
Stage one

Foundations

Fundamentals, vocabulary and the first working artefacts. Nothing is assumed; everything is implemented.

Modules 01 04

  • 01Foundations of AI & Generative AIHow generative AI differs from traditional ML · How large language models work · Understanding the why, not just the tool
  • 02Python for AITargeted, practical Python · Working with APIs · No prior coding assumed
  • 03Prompt EngineeringStructured, reliable prompts · Chain-of-thought and role-based prompting · Iterative refinement for business use
  • 04Large Language Models in PracticeHow GPT-based models are used · Chatbots and content generation · Integrating an LLM into a project
Stage two

Core practice

The professional middle of the course. Real tooling, realistic inputs, and mentor review on every submission.

Modules 05 08

  • 05Retrieval-Augmented GenerationCombining LLMs with your own data · Internal knowledge bots · Accuracy and grounding
  • 06AI Content & Image GenerationChatGPT for text and content · DALL·E and image generation · Applied to marketing and design work
  • 07AI Agents & Automation FrameworksAgentic AI concepts · LangChain · Multi-step planning and execution
  • 08AI Ethics & Responsible UseData privacy · Ethical guardrails · Responsible deployment inside a company
Stage three

Advanced & capstone

Depth, deployment and the capstone build that becomes the centre of your portfolio and your interview answers.

Modules 09 10

  • 09Real-World ProjectsAI-powered customer support chatbots · Content generation tools · Simple AI automation workflows
  • 10Career-Ready PortfolioProjects you can present in interviews · A portfolio for LinkedIn · Material for freelance pitches

Finish this generative ai programme and you leave Amritsar with more than a certificate from your 12th year: a reviewed portfolio, an internship letter where the track applies, and a first role that is realistic rather than aspirational.

Tools you will actually use

The working stack for Generative AI

Tools and technologies covered

Every tool below is installed, configured and used by you during the course — not demonstrated on a slide. You leave able to set up your own environment from scratch.

8tools covered

Core
  • Python 3
  • ChatGPT
  • LangChain
Working set
  • Hugging Face
  • Claude API
  • Jupyter
Shipping
  • Streamlit
  • Git
Eligibility

Four kinds of people join this batch. You are probably one of them.

Who this course is for

There is no entrance test and no prerequisite degree. What the programme does assume is that you will show up for the full 1 year and do the project work.

01No experience needed

Straight out of 12th

The programme assumes nothing beyond a 12th pass and comfort with a computer. You start at the actual beginning of generative ai, and by month three you are working on a brief rather than an exercise.

02Evening & weekend

Studying alongside a degree

Two hours a day fits either side of a college timetable. You graduate with a generative ai portfolio already built instead of starting one after your final semester.

03Fills the year

Taking a drop or gap year

An empty year reads badly on a CV. A certificate, 3 reviewed projects and an internship letter turn it into something you can explain in an interview.

04Applies immediately

Joining a family business

Bring the business you already know and layer generative ai onto it. Students in this group usually apply the first two modules inside their own shop or unit before the course has ended.

Where it leads

The roles this portfolio opens

Job titles vary by company, but the underlying expectations do not. Each destination below maps to work you will have already done during the programme.

What you build

Projects that answer the interview question for you

Portfolio projects

Each project is reviewed individually, and the review notes go into your portfolio documentation.

  • Flagship project

    Document Q&A Assistant

    A RAG application over a real document set, with citations and a measured accuracy baseline.

    • LangChain
    • Hugging Face
    • Claude API
  • Support Triage Agent

    A tool-using agent that classifies incoming queries and drafts replies for human approval.

    • Claude API
    • Jupyter
    • Streamlit
  • Evaluation Harness

    A scored test suite that catches quality regressions before they reach a user.

    • Streamlit
    • Git
    • Python 3
Future scope

Where generative ai is headed from here

Where generative ai is headed from here

A certificate answers what you can do today. This is the honest answer to what generative ai looks like three to five years out, and why the fundamentals this course spends real time on are what carry you there.

  • Demand is structural, not seasonalEvery company sitting on years of data is now under pressure to turn it into forecasts, automation and decisions — and that pressure is still climbing, not levelling off.
  • The skill ladder keeps climbingGenerative AI Associate is the entry rung, not the ceiling. Once that portfolio is in place, ai application developer is the realistic next step — a promotion earned on the job, not a second course you have to go back and pay for.
  • Tooling changes; fundamentals compoundPython 3 and the rest of the stack will look different in five years — they always do. What does not expire is the fundamentals this course is built around, which is why the syllabus is reviewed each intake instead of frozen once and reused.
  • Remote and hybrid widen the marketA generative ai portfolio built in Amritsar competes for the same remote and hybrid roles as anywhere else. Companies hiring for this work are increasingly indifferent to which city the offer letter is posted to.
What you walk away with

The 1 year programme is built around the part that is genuinely in your hands — and you leave holding all of it.

A reviewed portfolio, an industry-recognised certificate and a fundamentals-first foundation you can keep building on. Markets move, as they always have; that foundation is exactly what lets you move with them as AI and data work around you keeps shifting.

Why choose Generative AI

Why Choose This Generative AI Training Program?

Why Choose This Generative AI Training Program?

With so many institutes and online platforms offering AI courses, it's fair to ask what makes a program worth your time and investment. Techcadd's Generative AI Training course in Amritsar focuses on practical skills and real-world applications rather than theory alone.

  • 01

    Practical, Project-Based Learning

    You won't simply watch AI demonstrations and take notes. Concepts are reinforced through practical exercises, assignments, prompt-building activities, AI tool usage, and real-world projects. By the end of the course, you'll have practical experience that you can discuss and demonstrate rather than only a certificate showing that you attended training.

  • 02

    Structured, Beginner-to-Practical Curriculum

    The course follows a logical progression, beginning with Generative AI fundamentals and gradually moving toward prompt engineering, AI tools, content creation, automation, and practical projects. Concepts are introduced step by step so beginners can understand how different AI technologies and tools are used.

  • 03

    Industry-Relevant AI Skills

    Generative AI is increasingly being used for content creation, productivity, research, marketing, automation, software development, and business workflows. The program focuses on practical applications that learners can understand and apply in real-world situations.

  • 04

    Prompt Engineering Skills

    One of the most important parts of working effectively with Generative AI is knowing how to communicate with AI systems. Students learn how to structure prompts, provide context, define requirements, refine outputs, and improve results through better instructions.

  • 05

    Doubt-Clearing & Mentor Support

    Learning new AI technologies can involve confusion and experimentation. Techcadd's trainers provide support to help students understand concepts, work through practical exercises, and clarify their doubts.

  • 06

    Flexible Batch Timings

    Whether you're a student managing college classes or a working professional managing job responsibilities, flexible batch options can make it easier to continue learning.

  • 07

    Career & Practical Guidance

    Generative AI skills can complement careers in technology, marketing, content creation, business, education, and other digital fields. The training focuses on helping students understand how to present and apply their AI skills professionally.

  • 08

    Local Convenience, Real Access

    Being based in Amritsar means students can learn locally without needing to relocate to another city. Learners from nearby areas such as Tarn Taran, Batala, and Ajnala can also access training in Amritsar.

Student reviews

What the last few batches actually said

Generative AI course reviews

Collected from students who completed the generative ai programme at the Amritsar campus, across morning, evening and weekend batches. Hover a card to slow the row right down and read it.

4.7

out of 5

178 verified reviews from Amritsar students

5
84%
4
8%
3
5%
2
2%
1
1%
I joined the Generative AI batch with almost no background, and what made the difference was that foundations of ai & generative ai was taught by building rather than by slides. By the third week I was debugging my own code instead of copying someone else's.
Ishita SharmaGenerative AI Associate, Pune
The project reviews are the real value. My support triage agent was picked apart line by line, and those notes are exactly what I ended up talking through in the interview that got me a ai application developer offer.
Sahil AroraAI Application Developer, Delhi
Weekend batches meant I kept my job through the whole 1 year. Anything I missed got re-explained without fuss, and lab access outside batch hours was never a problem.
Simranjeet KaurPrompt Engineer, Amritsar
ChatGPT and the rest of the stack were set up on day one, so no week went into environment issues. Batches are small enough that a doubt gets answered the same day instead of piling up.
Manpreet KaurAI Automation Executive, Ludhiana
I had tried learning generative ai on my own twice and stalled both times. A fixed batch in Amritsar, a mentor who checks your work and a deadline on every module is the only reason I finished.
Gurpreet SinghJunior ML Engineer, Bengaluru
Placement support was not just a line on the brochure — resume and portfolio review, two mock interviews with people who do the job, and a referral into one of the hiring drives.
Karanveer BrarGenerative AI Associate, Mohali
The syllabus is current. We worked in Python 3 rather than the older tooling most generative ai syllabi around here still teach, and that came up directly in my first interview.
Jasleen GrewalAI Application Developer, Hyderabad
The balance of theory to lab time is about right: enough to understand why something works, then straight into building. I left with 3 projects I can demo, not just a certificate.
Harman SidhuPrompt Engineer, Jalandhar

Questions we get asked at the admissions desk

Frequently asked questions

If something here is not covered, the Amritsar desk will answer it directly — no call-back queue.

  • Yes. The entry requirement is 12th pass, any stream, and there is no entrance test. Admissions run through the year rather than in a single intake window, so you can start in the gap between your result and college admissions closing.

Start your Generative AI career journey — right here in Amritsar

Stop Using AI Only for Basic Questions. Learn to Use It Strategically.

Enquire about the Generative AI course

Learn how to use Generative AI strategically — with practical training, real projects, mentor support, and career-focused guidance at Techcadd, Amritsar.

  • Course: Generative AI Training Course
  • Duration: Flexible / Batch Dependent
  • Mode: Classroom & Online
  • Location: Techcadd, Amritsar
  • Suitable For: Students, Graduates, Professionals, Entrepreneurs & Beginners
  • No spam calls
  • Course guidance
  • Talk to a trainer/counsellor
  • Get your questions answered

Enquire Now

About the Generative AI course · 1 year

Course or Service
Generative AI Course

Not ready to fill out a form yet? Leave your contact details and a Techcadd counsellor can help answer your questions about the course, eligibility, duration, batches, and learning options.

A one-line sum, so we know you are a person. Digits or words both work.

Book a free demo class and see the lab before you decide.