Prompt Library & Evaluation Harness
Build a versioned set of prompts for a real business task, write an evaluation set of inputs and score outputs from two different models against it.
- Python
- OpenAI APIs
Generative AIAI-Powered Curriculum
Generative AI Course in Phagwara
Generative AI course in Phagwara: build LLM apps with Python, LangChain, RAG and OpenAI or Claude APIs — live projects, internship and placement support.
- Live client projects
- Practitioner trainers
- Placement support
- Certificate + internship
- Duration
- 3 – 6 Months
- Mode
- Classroom, Weekend & 1-on-1
- Eligibility
- 12th Pass Onward
- Includes
- Internship Letter
25,000+
Students trained
since 2007
4.9★
Google rating
556+ reviews
100%
Practical training
live client work
Overview
Course overview
Techcadd’s Generative AI Course in Phagwara is for students, graduates, developers, analysts and working professionals who want to build with language models rather than only chat with them. The programme starts with how Large Language Models actually work, then moves into prompt design and — more importantly — how to evaluate whether a prompt is any good. You work across OpenAI, Claude and open-source models from Hugging Face, learn embeddings and vector databases, and build Retrieval-Augmented Generation so a model answers from your own documents instead of its memory. Image and audio generation follow, and then the heart of the course: building AI applications in Python with LangChain, Pinecone and Streamlit, connected to real APIs. The closing module covers cost control, safety, guardrails and deployment, which is where most prototypes quietly die. Every stage produces something that runs and that a trainer reviews with you on screen at the Phagwara centre. You finish with a deployed Generative AI application in your portfolio, a documented internship, CV preparation and interview practice for AI Engineer, Prompt Engineer, LLM Application Developer and automation roles.
What you get
- 100% practical, project-based learning
- AI tools integrated into every module
- Live client projects under trainer supervision
- Internship letter and placement support
- Small batches with daily doubt clearing
- Students
- 25K+
- Google rating
- 4.9★
- Estd.
- 2007
- Practical
- 100%
EligibilityWho can do
Who can do
this course
The Generative AI course is built for people at six different starting points, and the batch is deliberately mixed. What matters far more than your background is turning up consistently and finishing what each module asks you to build.
- 01
Students after 12th
You do not need a computer science background to begin. The course starts with Python basics and how language models work, and most students run it alongside a degree at LPU, GNA University or Kamla Nehru College using the weekday or weekend batch.
- 02
Graduates & final-year students
If you are finishing a BCA, B.Tech, B.Sc, BBA or B.Com, Generative AI is the fastest-moving skill to enter placement season with. A deployed LLM application on GitHub says more than a certificate line on a CV.
- 03
Developers & analysts
Already writing Python, JavaScript or SQL? This course adds the LLM layer — prompts, embeddings, RAG and APIs — to what you know, so you become the person on the team who ships the AI feature rather than the one who waits for it.
- 04
Working professionals & career switchers
The weekend batch exists for people already earning in IT, marketing, operations or teaching. Switchers typically become interview-ready for AI Engineer or automation roles within five to six months without leaving their current job.
- 05
Business owners & entrepreneurs
Immigration consultancies, export firms, schools, hospitals and real-estate offices across Phagwara and the Doaba region are all sitting on documents and enquiries an LLM could handle. Learn enough to build it, or to brief and judge the person who does.
- 06
Freelancers & aspiring freelancers
Chatbots, document Q&A, content pipelines and AI automation are billable to clients well beyond Punjab, and remote work is not limited by location. You learn to scope, price and deliver Generative AI work the way an agency would.
The case for itWhy this programme
Why this programme
is worth your year
Generative AI is the fastest-growing hiring category in India, and around Phagwara almost nobody has structured training in it — businesses have budgets and use cases, and very few people who can turn a language model into a working, reliable application. 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
Build with models, not just chat with them
Anyone can use ChatGPT. The course is about calling models from code, grounding them in your data, giving them tools and shipping the result — the work employers actually pay for.
- 02
The full modern stack
Python, LangChain, Hugging Face, OpenAI and Claude APIs, Pinecone, Streamlit and Git — installed on the lab machines and used on live work, not shown once in a slide.
- 03
Evaluation is taught, not skipped
Most Generative AI tutorials stop at a demo that works once. Here you build evaluation sets, score outputs and test retrieval, so you can say whether a system is good rather than hope it is.
- 04
Live client projects under supervision
From the second half of the course you build on genuine requirements from Techcadd’s delivery pipeline, with a trainer beside you while the decisions are still cheap to change.
- 05
Production concerns from the start
Token cost, prompt injection, sensitive data, logging and deployment are in the syllabus because they are where prototypes stall — and where a fresher who understands them stands out.
- 06
A portfolio and a placement cell
You finish with a deployed application, a documented internship letter, CV and interview preparation, and repeated drives with hiring partners across Phagwara, Jalandhar and North India.
Why now
Generative AI Is Powering the Next Generation of Businesses
- Every company adding an AI feature, a chatbot or a document assistant needs someone who can build it reliably — and the supply of trained people in Punjab is far behind the demand.
- The tools have settled enough to teach properly: LangChain, vector databases and the major model APIs are now standard, so what you learn this year is what teams are hiring for.
- Generative AI roles in Punjab start around ₹25,000 – ₹45,000 a month for a fresher with a deployed application in their portfolio.
- Remote and freelance Generative AI work pays on the strength of what you have shipped, not where you live — a Phagwara address costs nothing on a remote brief.
SyllabusHands-on
What you will
actually build
The syllabus is arranged so every module produces an asset rather than a set of notes. You will cover how large language models work, prompt design & evaluation, openai, claude & open-source models, embeddings & vector databases, and finish with a live project built on Python, LangChain, Hugging Face. 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.
Generative AI02/04
Core Skills
The working knowledge the job description actually lists.
OpenAI, Claude & Open-Source Models
Work across the commercial APIs and Hugging Face models, and learn which to choose for a given job.
3 weeks · 12 sessions
Embeddings & Vector Databases
Turn text into vectors and search it by meaning — the layer every serious LLM application sits on.
3 weeks · 12 sessions
Retrieval-Augmented Generation (RAG)
Build a system that answers from your documents instead of the model’s memory, and cites where it looked.
4 weeks · 14 sessions
Topics covered
OpenAI and Claude APIs: authentication, messages, streaming and tool callingHugging Face Hub, pipelines and running open models locallyChoosing a model on cost, latency, quality and privacyRate limits, retries and error handling in PythonWhat an embedding is and how similarity search worksChunking strategies for documents, PDFs and web pagesPinecone and local vector stores: indexes, upserts and metadata filtersHybrid search, re-ranking and evaluating retrieval qualityThe RAG pipeline: ingest, embed, retrieve, generateLangChain chains, retrievers, memory and document loadersCitations, grounding and reducing hallucinationEvaluating a RAG system: faithfulness, relevance and answer quality
The toolchain behind the craft
One course.
A mesh of real tools.
Everything below is installed on the lab machines and used on live client work, not shown once in a slide and forgotten.
- Python
- LangChain
- Hugging Face
- Claude
- ChatGPT
- OpenAI APIs
- Pinecone
- Streamlit
- Jupyter Notebook
- Git & GitHub
- VS Code
Certification
Get Certified in Generative 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 scopeWhere this course
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 on one comparable scale, not a brochure number.
Salary outlook
Generative AI Developer
Builds applications on Large Language Models — prompts, retrieval, APIs and deployment. Earnings vary with your Python skill, portfolio, the complexity of what you have shipped, company and location.
- Starting package
- ₹25,000–₹45,000/month
- After 2 years
- ₹45,000–₹90,000/month
Punjab — Generative AI / LLM apps
Fresher₹25,000–₹45,000/month
After 2 years₹45,000–₹90,000/month
Delhi / NCR — AI Engineer
Fresher₹35,000–₹65,000/month
After 2 years₹70,000–₹1,50,000+/month
Remote / Freelance AI Work
Fresher₹20,000–₹40,000/month
After 2 years₹60,000–₹1,50,000+/month
Indicative ranges for Generative AI Developer roles, compiled from public job-market listings and drawn on the same scale in every market. Actual offers vary by employer, skillset and interview performance — Punjab pay typically reaches 2× the fresher ceiling within two years of delivery experience.
Talk about your target roleWhere Generative AI Developer graduates get hired
- IT companies and software agencies adding AI features to client products
- Startups building LLM-powered products and assistants
- Digital marketing and content agencies running AI content pipelines
- Education, healthcare, immigration and real-estate businesses automating enquiries and documents
- Remote employers and freelance clients in Delhi, Bengaluru and abroad
- 01
What job roles open up after this course?
AI Engineer, Prompt Engineer, Generative AI Developer, AI Product Developer, Automation Consultant, LLM Application Developer and AI Content Specialist. What gets you the offer is a deployed application an interviewer can open, not the certificate alone.
- 02
What can I earn, and how fast does it grow?
A fresher with a working portfolio starts around ₹25,000 – ₹45,000 a month in the Punjab market and moves to ₹45,000 – ₹90,000 with two years of delivery experience. Delhi/NCR runs materially higher, and specialists in RAG and agents move beyond ₹1,50,000.
- 03
Can I freelance or work remotely with this skill?
Yes — Generative AI has one of the widest remote ceilings in the catalogue. Freelance work starts around ₹20,000 – ₹40,000 a month while you build a client base and reaches ₹60,000 to over ₹1,50,000 once you have shipped real systems. The course covers proposals, scoping and handover so you can price the work, not just do it.
- 04
Which industries hire for this in Punjab?
IT companies and agencies adding AI features for clients, startups building assistants, marketing and content agencies, and the immigration consultancies, schools, hospitals, export firms and real-estate businesses across Phagwara, Jalandhar and the Doaba region that want their enquiries and documents handled by an LLM.
- 05
Do I need to know Python before joining?
No. The course teaches the Python you need as you meet it — functions, data handling, APIs and packages — and the early modules are deliberately light on code. Existing programmers move faster through the fundamentals and spend that time on the harder RAG and deployment work.
PortfolioHands-on projects
Hands-on projects
you will ship
Multi-Model Chat Assistant
Ship a Streamlit chat app that switches between Claude, OpenAI and a Hugging Face model, with streaming, conversation memory and a cost counter per session.
- Streamlit
- Claude
Document Q&A with RAG
Ingest PDFs and web pages, chunk and embed them into Pinecone, and build a retrieval-augmented assistant that answers with citations and refuses when the answer is not in the documents.
- Embeddings
- RAG
AI Content & Image Pipeline
Generate a campaign of on-brand copy and matching images from a single brief, with structured output, review steps and a human approval stage before anything is published.
- Multimodal Generation
- Structured Output
Tool-Calling Business Assistant
Give a model tools to look up orders, book appointments or query a spreadsheet, and build the guardrails that stop it acting on a bad instruction.
- LangChain
- OpenAI APIs
Live Client Brief
A genuine Generative AI requirement from Techcadd’s delivery pipeline — scoped, built, evaluated and handed over under trainer supervision. This is the project interviewers ask about.
- Python
- LangChain
End-to-End Generative AI Capstone
Specify, build and deploy a complete LLM application of your own — retrieval, tools, interface, cost control and monitoring — and present the architecture and its limitations as your final piece.
- Streamlit
- Git & GitHub
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
Break a real requirement into a clear plan and the right tools.
Prompt Library & Evaluation Harness
- 02
Build
Work hands-on with trainer feedback while the decisions are still easy to change.
Multi-Model Chat Assistant
- 03
Present
Turn the finished work into a portfolio story you can defend in an interview.
Document Q&A with RAG
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.
Trainers who still do the work
Your trainer is not a full-time lecturer. They deliver client projects for techcadd’s services arm, so examples in class are current rather than a case study from five years ago.
Live projects, real consequences
You work on genuine client requirements under supervision. This is where a portfolio comes from, and it is the first thing an interviewer asks to see.
Small batches and open lab hours
Batches stay small enough that a trainer sees your screen daily. Lab time runs outside class hours and doubt sessions continue until the concept lands.
Internship letter and certificate
Every student finishes with an industry-recognised certificate and a documented internship on real work, accepted for university industrial training requirements.
A placement cell that persists
Mock interviews, CV reviews and drives with hiring partners across Phagwara, Jalandhar and North India, repeated after a rejection, not abandoned.
Since 2007, 25,000+ students
Nearly two decades of hiring relationships in Punjab is why a call from our placement cell gets answered and why local employers know what our certificate means.
Student reviewsWhat our students
What our students
in Phagwara say
- Google
What made it click for me was the lab time. You can sit after class and someone will still explain it until you get it.
KMKaran MehtaB.Tech Student · Phagwara - Google
I travelled in for the weekend batch and it was worth every trip. Small batch, real work, no time wasted on theory nobody uses.
ASArshdeep SinghTrainee Engineer · Adampur - Google
The course got me interview-ready faster than I expected. My interviewer asked to see my project and that was the whole conversation.
PRPooja RaniGraduate · Kartarpur
- Google
I was switching careers and worried I would be behind. Half the batch was doing the same thing, and nobody made it awkward.
SKSimran KaurCareer Switcher · Phagwara - Google
I joined with almost no background and finished with a project I could actually show. The trainer never rushed the basics.
RSRohit SharmaBCA Student · Banga - Google
techcadd’s placement cell kept calling me for drives until I was placed. That persistence mattered more than anything else.
NKNavjot KaurPlaced · Jalandhar
Got questions?
Frequently Asked Questions
It is a practical programme in building with Large Language Models and the tools around them. You learn how LLMs work, prompt design and evaluation, the OpenAI, Claude and Hugging Face ecosystems, embeddings and vector databases, Retrieval-Augmented Generation, image and audio generation, building AI applications in Python with LangChain and Streamlit, and the cost, safety and deployment work that takes a prototype into production.
Get started today
Not sure if Generative 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.
Course information
Ask about Generative 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