Python & Data Foundations
The core Python programming skills and data structures needed for AI and ML.
You finish with
A Python script and a data manipulation project.
Artificial IntelligenceMost In-Demand
Generative AI Fundamentals Course in Ludhiana with Live Projects & Placement Support
The generative AI skillset Punjab's growing tech sector is hiring for right now.
This programme covers generative AI fundamentals through live projects, small batches, and mentor-reviewed deliverables. You will build practical skills in LLMs, prompt engineering, RAG, and AI application development, with dedicated placement support at the end.
- 3, 6, or 9 months
- Duration
- Weekday & weekend batches
- Mode
- Basic computer literacy
- Eligibility
- ISO 9001:2015 certified institute
- Certification
Admissions open
Free demo class & counselling
Batch slots
- Weekday
- Evening
- Weekend
Course overview
Learn Generative AI Fundamentals through practical experience
This Generative AI Fundamentals Course in Ludhiana is a structured programme covering generative AI, from fundamental concepts through to LLMs, prompt engineering, RAG, and AI application development. The learning arc moves from foundations (Python, data analysis, machine learning) to applied work (deep learning, NLP, generative AI, RAG) to a capstone project where you build and deploy a complete GenAI application. Students finish with a portfolio of module deliverables, a documented internship certificate, and interview readiness for junior Generative AI Developer and AI Application Developer roles in the local market. The 9-month Expert plan adds a final stage focused on advanced GenAI, vector databases, prompt engineering, multi-agent systems, and real-world AI solutions for those targeting senior or specialised roles.
- 3,6 or 9 months programme
- offline
Curriculum
A path from first steps to shipped work
The syllabus is structured as a ladder, not a set of parallel tracks. Each plan builds on the previous one, and longer plans repeat the full module list of shorter plans before adding their own advanced modules. This means you can start at the level that matches your experience and progress upward without gaps.
7 learning modules01 / 07
Data Analysis & Visualization
Numerical computing, data analysis, and visualising data to communicate insights.
You finish with
A data analysis notebook and a visualisation dashboard.
Machine Learning Fundamentals
The core concepts of machine learning and advanced ML algorithms.
You finish with
A basic ML model and an advanced ML model using ensemble methods.
Deep Learning & Neural Networks
The fundamentals and advanced architectures of deep learning.
You finish with
A neural network model and a transformer-based model.
NLP & Computer Vision
Natural language processing and computer vision applications.
You finish with
An NLP model with attention and a computer vision project.
Generative AI, LLMs & RAG
Generative AI, large language models, and retrieval-augmented generation.
You finish with
A fine-tuned LLM application and a RAG-based question answering system.
AI Application Development, MLOps & Capstone
Building, deploying, and monitoring AI applications in production, and building multi-agent systems.
You finish with
A deployed AI application, an MLOps pipeline, a multi-agent system, and a complete portfolio capstone.
Every module includes hands-on practice on a real dataset or a real deliverable, not a slide demonstration.
What you learn
What you will learn in the Generative AI Fundamentals course
The Generative AI Fundamentals Course in Ludhiana at techcadd is designed to help students move from basic Python and data concepts to practical, deployable GenAI applications.
01 Python & Data Foundations
Build core Python skills, work with data structures and OOP, and handle files to prepare for AI and ML work.
02 Data Analysis & Visualization
Use NumPy, Pandas, Matplotlib, and Seaborn to manipulate data and build visualisation dashboards.
03 Machine Learning
Train, evaluate, and compare supervised and unsupervised models using Scikit-learn, covering ensemble methods, SVM, trees, and clustering.
04 Deep Learning & Neural Networks
Design CNNs, RNNs, and transformer-based models using TensorFlow and Keras, with transfer learning and attention mechanisms.
05 NLP & Computer Vision
Build NLP pipelines with word embeddings and sequence models, and work on image classification, object detection, and segmentation with OpenCV.
06 Generative AI, LLMs & RAG
Work with GPT, BERT, LLM fine-tuning, prompt engineering, vector databases, and retrieval-augmented generation to build a RAG-based document assistant.
07 Deployment, MLOps & Capstone
Deploy AI applications with Streamlit and Gradio, set up MLOps with MLflow, build multi-agent systems, and complete a full portfolio capstone.
Tools you’ll work with
- Python
- Numpy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
- Tensorflow
- Keras
- OpenCV
- NLTK
- SpaCy
- Hugging Face
- LangChain
- LangGraph
- OpenAI API
- Gemini API
- Vector Databases
- RAG
- Github
- Git
The objective is practical knowledge rather than memorised concepts — every module produces a portfolio-ready deliverable you can show to employers.
The case for it
Your months should build more than a certificate.
A course is worth the time you give it only if you finish with work you can show and skills you can defend.
7Practical learning modulesfrom fundamentals to GenAI delivery
Build core programming skills in Python, work with lists, tuples, sets, and dictionaries, apply OOP concepts, and handle files.
Use NumPy, Pandas, Matplotlib, and Seaborn to manipulate data and build visualisation dashboards.
Train, evaluate, and compare supervised and unsupervised models using Scikit-learn, covering ensemble methods, SVM, trees, and clustering.
Design CNNs, RNNs, and transformer-based models using TensorFlow and Keras, with transfer learning and attention mechanisms.
Build NLP pipelines with word embeddings and sequence models, and work on image classification, object detection, and segmentation with OpenCV.
Work with GPT, BERT, LLM fine-tuning, prompt engineering, vector databases, and retrieval-augmented generation to build a RAG-based document assistant.
Deploy AI applications with Streamlit and Gradio, set up MLOps with MLflow, build multi-agent systems with LangChain and LangGraph, and complete a full portfolio capstone.
Why this course
Why should you choose this course?
Six things we hold ourselves to for every Generative AI Fundamentals batch that starts in Ludhiana.
01 Live project portfolio
Every module produces a deliverable that goes into your portfolio, from a Python script to a RAG-based document assistant.
02 Real client work
You work on live datasets and real deliverables, not simulations or slide demonstrations.
03 Mentor-reviewed deliverables
Every project is reviewed by mentors who still work on client projects, not just teach.
04 Small batch sizes
Limited seats per batch ensure you get individual attention and feedback on your work.
Why TechCadd
Why students choose us for this
What genuinely differs about this course at techcadd is that every module ends with a deliverable that goes into your portfolio, not a test score.
Mentors who still do client work
Your instructors are active AI professionals, not full-time trainers, so you learn what the industry actually uses.
Live datasets and real tools
You work on real datasets with real constraints, not simulations or case studies.
Small batch sizes
Limited seats mean you get individual feedback on every deliverable.
7 branches across Punjab
With campuses in Ludhiana, Mohali, Chandigarh, Phagwara, Hoshiarpur, Amritsar, and Jalandhar, techcadd has a local presence and a track record of over 10,000 students trained.
Who can join
Who this Generative AI Fundamentals course is for
This course fits anyone who wants to build a career in generative AI but needs a structured path from fundamentals to job-ready skills.
Students after 12th
You get a complete foundation in AI and GenAI, starting with Python and data analysis and progressing to LLMs and RAG, with a portfolio you can show employers.
Working professionals
You can upskill in prompt engineering, RAG, and GenAI application development through weekend batches, with deliverables that apply directly to your current work.
Career switchers
You start from the basics and build up to a capstone project, giving you a demonstrable skill set even if your background isn't in tech.
Business owners/developers
You learn to build and deploy GenAI applications, from chatbots to RAG systems, without depending on external teams.
What you actually need before day one
- A laptop or desktop — we help you set it up in the first session
- A stable internet connection for the online batches
- No prior coding or technical background
- Basic English reading — the tools and their documentation are in English
- About 6-8 hours a week outside class for practice
- Willingness to finish the lab task before the next class
Not sure which of these you are, or whether the timing works around what you already do? That is exactly what the call is for. Ask about Generative AI Fundamentals
Technology ecosystem
One discipline.
A mesh of real tools.
Generative AI Fundamentals is the centre. These are the tools you use around it in a working team.
- Programming Language
- Numerical Computing
- Data Analysis
- Data Visualisation
- Data Visulisation
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- Natural Language processing
- AI Models
- LLM Framework
- Agent Framework
- AI Service
- AI Service
- Version Control
- Code Hosting
- Database
- Framework
- PythonProgramming Language
- NumpyNumerical Computing
- PandasData Analysis
- MatplotlibData Visualisation
- SeabornData Visulisation
- Scikit-learnMachine Learning
- TensorFlowDeep Learning
- OpenCVComputer Vision
- NLTKNatural Language Processing
- spaCyNatural Language processing
- Hugging FaceAI Models
- LangChainLLM Framework
- LangGraphAgent Framework
- OpenAI APIAI Service
- Gemini APIAI Service
- GitVersion Control
- GithubCode Hosting
- Vector Databases Database
- RAGFramework
Hands-on projects
Projects you actually ship,
not just follow along with.
Each one lands in your portfolio with the working files, the process and something a reviewer can open.
Certification
Get certified in Generative AI Fundamentals
Finish the Generative AI Fundamentals programme at techcadd Ludhiana and you leave with more than a line on a CV — a verifiable certificate, and the project work that makes it mean something in an interview.
Course completion certificate
Issued in your name on completion of the Generative AI Fundamentals syllabus, with a reference number an employer can verify with us.
Project certificate
A separate certificate for the capstone you submit, naming the project so the work is attached to the credential.
Internship letter
Students who complete the live-project phase receive an internship letter covering the duration and the work delivered.
Portfolio you own
Every file, repository and deployed link stays yours — the part of the credential a reviewer can actually open.
techcadd has been training in Ludhiana since 2007. The certificate carries that record; the Generative AI Fundamentals work you did carries the rest.
This is to certify that
has successfully completed the Generative AI Fundamentals programme
Generative AI Fundamentals Course
This is to certify that
for project work delivered under supervision in Ludhiana
Generative AI Fundamentals capstone
Where it takes you
Where this course takes you
The route from your first module to the roles Generative AI Fundamentals opens — and the work that has to exist at each step.
- 01Learning
- 02Projects
- 03Portfolio
- 04Industry readiness
- 05Career opportunities
Generative AI Developer
Employers check your ability to build GenAI applications with LLMs, prompt engineering, and RAG.
AI Application Developer
Employers check your ability to build and deploy AI applications with real user interfaces.
Machine Learning Engineer
Employers check your ability to train, evaluate, and deploy ML models on real data.
NLP Engineer
Employers check your ability to build NLP pipelines and sequence models.
AI Agent Developer
Employers check your ability to build multi-agent systems and AI workflows.
Salary outlook
What Generative AI Fundamentals pays, and where
Indicative ranges for the roles this course opens — what a fresher out of Ludhiana is offered, what the metro and remote markets pay for the same skills, and how that moves with two or three years of work behind you.
| Role | Ludhiana & Punjab | Delhi NCR & Bengaluru | Remote & freelance |
|---|---|---|---|
| Generative AI DeveloperEntry | ₹2.4–4.2 LPA | ₹4–8 LPA | ₹20k–45k / project |
| AI Application DeveloperEntry to mid | ₹3.6–6.5 LPA | ₹6.5–14 LPA | ₹35k–90k / project |
| Machine Learning EngineerEntry to mid | ₹3.6–6.5 LPA | ₹6.5–14 LPA | ₹35k–90k / project |
| NLP EngineerMid | ₹3.6–6.5 LPA | ₹6.5–14 LPA | ₹35k–90k / project |
Ranges are indicative, drawn from what our own students report and from openings we see through the placement cell. Actual offers depend on your portfolio, the interview and the company — nobody can promise you a number, and we do not.
Generative AI Developer, AI Application Developer, Machine Learning Engineer, NLP Engineer and related positions, depending on which part of the syllabus you go deepest on.
The first jump usually comes at 18–24 months, once you have shipped work you can point to. Depth in one area moves it faster than breadth across many.
Yes, and a good number of our students do. Remote and contract work is the reason Ludhiana candidates now compete for the same briefs as metro ones — the portfolio travels, the address does not matter.
IT services, manufacturing and export units running automation, e-commerce and D2C brands, healthcare, education, and the agencies serving all of them. Punjab hiring is broader than it looks from a job board.
It helps with the practical half. The projects and tooling carry into an M.Tech, MCA or a specialisation abroad, and the portfolio is often what separates two applicants with the same marks.
Future scope
The road ahead for Generative AI Fundamentals
A course ends; the field does not. Here is the honest version of what the next few years look like for Generative AI Fundamentals — where the roles go, and what is shifting underneath them while you learn.
- Year 0–1
Get in on proof of work
Entry roles such as Generative AI Developer open as soon as you have projects that run. At this stage nobody is asking about your marks — they are asking you to walk through something you built.
- Year 2–4
Specialise and get paid for it
The generalists plateau; the specialists do not. Depth in one part of Generative AI Fundamentals — the part your first job leans on hardest — is what moves you towards ai application developer work.
- Year 5+
Own the decisions
Architecture, standards, hiring and mentoring. The technical skill is assumed by now; what you are paid for is judgement, and judgement only comes from having shipped things that mattered.
AI is now part of the job
Teams expect Generative AI Fundamentals work to be done alongside AI tooling. It raises the floor on output and raises the bar on what counts as a junior — which is exactly why the fundamentals in this course are taught the hard way.
The scope keeps widening
What used to be one narrow role now touches data, deployment and the product decision behind it. Every extra layer of Generative AI Fundamentals you understand is another kind of room you get invited into.
Demand outside the metros
Remote and hybrid hiring means Ludhiana, Jalandhar and Chandigarh candidates now compete for the same roles as Bengaluru ones. Location has stopped being the ceiling it used to be.
Proof beats paper
Hiring has moved to portfolios, take-home tasks and live problem solving. A certificate opens a shortlist; work that runs is what gets you through the round after it.
Sectors hiring for this skill set
- IT services
- Product startups
- Banking & fintech
- Healthcare
- E-commerce
- Manufacturing
- EdTech
- Government & PSUs
The comparison
Why students pick techcadd for Generative AI Fundamentals
This comparison covers the key differences between techcadd's Generative AI Fundamentals Course and typical alternatives.
| What to ask about | techcadd | Typical institute |
|---|---|---|
| Live project work | Every module, from week one | Often only at the end, if at all |
| Batch size | Small, limited seats | Large, lecture-style batches |
| Mentor background | Active AI professionals who do client work | Full-time trainers, often not current practitioners |
| Deliverables | Portfolio-ready projects every module | Tests and certificates |
| GenAI integration | Built into the syllabus from month 1 | Rarely covered, or optional add-on |
Every comparison here is about substance, not marketing language.
Student Voices
What Generative AI Fundamentals learners say
Feedback from students who completed the Generative AI Fundamentals programme at techcadd Ludhiana.
Google Reviewsfrom 181 Google reviewsGoogle VerifiedSK HS AV NS SK HS AV NS SK HS AV NS
Simranjeet Kaur
Generative AI Fundamentals / B.Sc. IT graduate
I joined with no background in this. By the third month I was building Generative AI Fundamentals work on my own, and the project reviews are where I actually learnt to do it properly.
Harman Sethi
Generative AI Fundamentals / Now working as an intern in the field
The classes are practical. Every session ends with a task that has to work, so you cannot fake understanding. That habit helped me most in interviews.
Ankit Verma
Generative AI Fundamentals / BCA final year
Doubt support was the difference for me. My trainer sat with my work, found the mistake and made me fix it myself instead of handing over the answer.
Navjot Singh
Generative AI Fundamentals / Career switch from operations
I came for the skill and left with a portfolio — projects I could actually demo on a call, not a certificate I had to explain.
Simranjeet Kaur
Generative AI Fundamentals / B.Sc. IT graduate
I joined with no background in this. By the third month I was building Generative AI Fundamentals work on my own, and the project reviews are where I actually learnt to do it properly.
Harman Sethi
Generative AI Fundamentals / Now working as an intern in the field
The classes are practical. Every session ends with a task that has to work, so you cannot fake understanding. That habit helped me most in interviews.
Ankit Verma
Generative AI Fundamentals / BCA final year
Doubt support was the difference for me. My trainer sat with my work, found the mistake and made me fix it myself instead of handing over the answer.
Navjot Singh
Generative AI Fundamentals / Career switch from operations
I came for the skill and left with a portfolio — projects I could actually demo on a call, not a certificate I had to explain.
Simranjeet Kaur
Generative AI Fundamentals / B.Sc. IT graduate
I joined with no background in this. By the third month I was building Generative AI Fundamentals work on my own, and the project reviews are where I actually learnt to do it properly.
Harman Sethi
Generative AI Fundamentals / Now working as an intern in the field
The classes are practical. Every session ends with a task that has to work, so you cannot fake understanding. That habit helped me most in interviews.
Ankit Verma
Generative AI Fundamentals / BCA final year
Doubt support was the difference for me. My trainer sat with my work, found the mistake and made me fix it myself instead of handing over the answer.
Navjot Singh
Generative AI Fundamentals / Career switch from operations
I came for the skill and left with a portfolio — projects I could actually demo on a call, not a certificate I had to explain.
Real, unedited feedback from techcadd learners on Google.
Frequently asked questions
Questions before you enrol
The 7 things people ask most often about the Generative AI Fundamentals course at techcadd Ludhiana.
The complete Generative AI Fundamentals programme runs for 3,6 or 9 months depending on the batch you choose. Weekday, weekend and fast-track options are available, along with shorter modules for students who only need the fundamentals.
School students after 12th, college students from any stream, graduates and working professionals changing track. The first module assumes no prior experience.
No. The course starts from the basics. If you already have some background, your trainer will move you faster through the first module so you reach the project work sooner.
Python, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, OpenCV, NLTK, spaCy, Hugging Face, LangChain, LangGraph, OpenAI API, Gemini API, Git, Github, Vector Databases and RAG — plus the day-to-day tooling and workflow that surrounds them in a real team.
Yes. Each module closes with a lab project, and the course ends with a capstone you can put on your portfolio and defend in an interview.
Placement support includes resume and portfolio review, aptitude and role-specific practice, mock interviews and interview referrals through our hiring network.
Yes. You receive a techcadd Generative AI Fundamentals completion certificate, and a separate project certificate for the capstone you submit.
Next batch
Enquire about Generative AI Fundamentals
Send this form and a counsellor calls you back about this course specifically — batch dates, fees and whether it fits what you already know.
- CourseGenerative AI Fundamentals Course
- Duration3,6 or 9 months
- Modeoffline
- Centretechcadd Ludhiana
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