9 Months that take you from python for ai, numpy & pandas and statistics & probability to a real, portfolio-ready Artificial Intelligence (AI) project you can show in an interview — Python, NumPy and Pandas from the ground up, then hands-on practice. No prior experience needed.
Rated on Google
4.9
556+ reviews
Enrol in the 9 Months Artificial Intelligence program after 12th at techcadd Chandigarh (4.9★, 556+ reviews). Learn Python, NumPy, Pandas, scikit-learn with a hands-on capstone project. No prior background required.
Key Highlights:
This is the 9-month Artificial Intelligence (AI) programme, built for someone starting straight after 12th who wants real artificial intelligence (ai) skills without assuming any coding or technical background. Start from Python and statistics, then build and deploy real machine learning and deep learning systems end to end.
Months 1–3 covers foundations — Foundations and Machine Learning: Python for AI, NumPy & Pandas, Statistics & probability, Data cleaning, Regression & classification, Trees & ensembles, Model evaluation and Feature engineering. Each topic is taught hands-on, in the order a real artificial intelligence (ai) project actually needs it.
Months 4–6 covers core skills & practice — Deep Learning and Generative AI: Neural networks, CNNs for vision, RNNs & transformers, Transfer learning, LLM fundamentals, Prompting patterns, Embeddings & RAG and Fine-tuning basics. Each topic is taught hands-on, in the order a real artificial intelligence (ai) project actually needs it.
Months 7–9 covers scaling & capstone project — Deployment and Capstone: FastAPI serving, Streamlit apps, Docker packaging, Cloud deployment, Live client project, Mentor code review, Portfolio & GitHub and Interview prep. Each topic is taught hands-on, in the order a real artificial intelligence (ai) project actually needs it.
Every module ends with something you actually build — a script, a working setup, a deployed piece of the final project. By the end of the programme, these add up to a complete portfolio project with documentation you can show in interviews and on your CV.
Every module ends in something you have built and a trainer has reviewed, so the list below is work you will have done rather than topics you will have heard about.
python for ai, numpy & pandas and statistics & probability are covered in the first stage, so when you reach applied work you already understand the system underneath.
You work in a real environment with Python, NumPy and Pandas rather than watching a recorded demo.
neural networks, cnns for vision and rnns & transformers are covered before the advanced modules, because that is the order real work actually happens in.
The final project combines the full programme into one deployment, with documentation, a demo and interview practice.
The course is divided into three months. Each month builds on the previous one, moving from basics to real, portfolio-ready projects.
Tools covered: Python · NumPy · Pandas · scikit-learn · TensorFlow · PyTorch · Hugging Face.
Projects: Foundations + Machine Learning.
These are the tools and platforms you will actually work in — hover any node to see what it does and where it shows up in the curriculum.
Artificial Intelligence (AI)
9 Months
DiplomaWhether you’re a student, graduate, or working professional, this program is designed to help you build practical, job-ready skills and start your career in technology.
Join from any stream — Science, Commerce, or Arts. No technical background is required. Learn industry-relevant skills through practical training and real-world projects.
Ideal for BCA, B.Sc, B.Com, BBA, BA, B.Tech and other graduates looking to gain practical skills, strengthen their portfolio, and improve placement opportunities.
Perfect for individuals looking to transition into the tech industry. Learn in-demand skills and become job-ready without needing prior experience.
Build practical projects, gain certification, prepare for interviews, and develop the confidence needed to secure entry-level technology roles.
The first stage covers python for ai, numpy & pandas and statistics & probability. Once these basics are clear, every later module is easier to understand because you already know how the system underneath works.
You work with Python, NumPy and Pandas by actually building and configuring, not watching slides.
Every topic ends with a deliverable — labs, reports, a hosted application and a final capstone. You leave with work you can show in interviews.
This 9 months programme is the foundation of the longer tracks. If you want to go deeper later, you continue from where you left off — nothing is repeated.
CertificationComplete the course with a portfolio of live projects and receive an industry-recognised certificate, plus a documented internship letter.
Industry certificate
Verifiable online, issued on completion of your assessment and project.
Internship letter
Issued for real client work you contributed to — not for attendance.
Live client projects
Actual briefs with deadlines, reviews and a deployment at the end.
Doubt-clearing sessions
Scheduled weekly, plus open lab hours whenever a trainer is on the floor.
techcadd
Computer Education
CERTIFICATE
of Project Excellence
This is to certify that
Student Name
★techcadd
Computer Education
CERTIFICATE
of Course Completion
This is to certify that
Student Name
★The roles this opens and who is hiring for them — the same figures our free salary estimator publishes, not a brochure number.
The most common starting role. You work hands-on with Python and NumPy and configure the systems this course covers. Your projects from this course serve as proof of your skills.
A natural next step as you gain experience — the same Artificial Intelligence (AI) fundamentals apply, with more ownership over the systems you work on.
A natural next step as you gain experience — the same Artificial Intelligence (AI) fundamentals apply, with more ownership over the systems you work on.
A natural next step as you gain experience — the same Artificial Intelligence (AI) fundamentals apply, with more ownership over the systems you work on.
The syllabus is arranged so every module produces something you keep rather than a set of notes. Modules run in the order a real project runs: foundations first, then applied work, then supervised client work, then the portfolio piece that turns all of it into an offer letter.
Your first working piece, applying python for ai and numpy & pandas end to end rather than as isolated exercises.
Work with a real, messier brief covering regression & classification and trees & ensembles, and defend the choices you made to a trainer.
A genuine requirement from techcadd's delivery pipeline, scoped, built and shipped under supervision. This is the one interviewers ask about.
A artificial intelligence (ai) project you specify yourself, covering live client project and mentor code review, presented as your final piece.
Every project moves through the same loop: understand the brief, build with guidance, then explain the decisions behind your work.
Break a real requirement into a clear plan and the right tools.
Foundations build
Work hands-on with trainer feedback while the decisions are still easy to change.
Machine Learning challenge
Turn the finished work into a portfolio story you can defend in an interview.
Live client brief
7 campuses across the region, 4.9★ from 556+ reviews, and a syllabus that is updated every year to match current industry needs.
You advance when your work passes review, not when the calendar says so. If you need extra time on a topic, you get it — nobody is rushed ahead.
Every hands-on session runs in a real account or environment — under trainer supervision, so mistakes become learning moments rather than surprise bills.
The people teaching this syllabus are the same people doing this work for real clients, which is why the course covers problems that actually happen.
Finish with a certificate and a capstone, or continue into the longer tracks later. You pick up from where you left off — nothing is repeated.
Learn from industry trainers on the tracks students most often take next.
Machine learning, deep learning and generative AI on real datasets.
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Machine learning, deep learning and generative AI on real datasets.
View courseAutonomous agents that plan, use tools and finish multi-step work.
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Autonomous agents that plan, use tools and finish multi-step work.
View courseFind answers to the questions students ask before enrolling.
9 Months (≈ 560 hours). Weekday, evening and weekend batches cover the same syllabus, and 1-on-1 training is available if you prefer your own pace. Every class runs for 2 hours, whichever format you choose.
No. This programme is built for students straight after 12th from any stream — Science, Commerce or Arts. It starts from the basics.
Real work. You build hands-on with Python and NumPy under a trainer's supervision — that is what the internship letter is issued against.
A complete capstone project that combines the full syllabus, plus the smaller projects from each module — all documented for your CV and interviews.
Graduates typically move into AI Engineer, Machine Learning Engineer, Data Scientist.
Pay depends on the portfolio you can show more than the certificate alone. Use the free salary estimator for an honest range by role and experience. Open the salary estimator
Yes. This programme is the foundation of the longer tracks, so you continue from where you left off — nothing is repeated or charged for twice.
No genuine institute can guarantee a job. What we do run is a placement cell: CV review, mock interviews and drives with our 500+ hiring partners, continuing after your course finishes.
Yes. Every student finishes with an industry-recognised certificate and a documented internship on real work.
Send your question and a counsellor will call you back about batch timings, fees, EMI options, placement record, or whether this course fits your background.
Not sure if Artificial Intelligence (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.
