A structured learning path from programming and mathematics fundamentals to Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI and practical AI project development — for students, graduates, beginners, job seekers and working professionals who want to build real AI skills, not just use AI tools.
One subject, three depths. Each track builds on the last, so a shorter option costs you scope, not foundation.
3 Months
Certificate
The core of Artificial Intelligence at working pace — the modules an employer expects you to have used, closed with one guided project.
1
Projects
3
Modules
ISO-certified certificate
Apply for 3 Months6 Months
Certificate with Internship
The complete Artificial Intelligence stack, then a client-style live project run to real requirements and deadlines — the version built for placement season.
2
Projects
7+
Tools
Certificate + internship letter
Apply for 6 Months9 Months
Expert Track
Artificial Intelligence plus a second specialisation, with a dedicated mentor and client-level project work — our deepest programme.
4+
Projects
2
Tracks
Advanced diploma + internship letter
Apply for 9 MonthsNot sure which length fits? A counsellor maps it to your semester, your placement season and the time you actually have — usually in one call.
A 3 – 9 months beginner programme, assessed on project work and closed with a verifiable credential.
The Artificial Intelligence Diploma Program in Mohali provides a structured learning path from programming and mathematics fundamentals to Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI and practical AI project development. Students learn how Artificial Intelligence systems work and how AI models can be trained, evaluated, improved and integrated into real-world applications. The program focuses on practical learning rather than theory alone — students work with programming exercises, datasets, machine learning models, AI tools, practical assignments and real-world projects. Whether you are a complete beginner, a 12th-pass student, college student, graduate, job seeker or working professional, this program can provide a structured foundation for building AI skills.
On completion, the holder can
Particulars
Awarded by
techcadd Mohali
4 modules and 12 topics. Each one is assessed, and each closes in work that goes into the portfolio submitted with the certificate.
Every competency below is taught hands-on and assessed before the certificate is issued.
Python programming — variables, data types, control flow, functions, OOP basics, file and exception handling
Python & Data Foundations
NumPy and Pandas — arrays, DataFrames, data cleaning, filtering, grouping and transformation
Python & Data Foundations
Supervised learning — Linear and Logistic Regression, Decision Trees, Random Forest, KNN, SVM
Machine Learning
Unsupervised learning — clustering, K-Means, hierarchical clustering and dimensionality reduction concepts
Machine Learning
Deep Learning fundamentals — neural networks, activation and loss functions, backpropagation and training
Deep Learning, NLP & Computer Vision
Natural Language Processing — text preprocessing, tokenization, text classification, sentiment analysis and chatbot concepts
Deep Learning, NLP & Computer Vision
Generative AI fundamentals — Large Language Models, prompt engineering, AI APIs and responsible AI concepts
Generative AI & Projects
AI API integration — authentication, requests, responses and building application workflows around a model
Generative AI & Projects
A credential is only worth the work behind it. This is the work behind this one.
Python → Data Handling → Machine Learning → Deep Learning → NLP → Computer Vision → Generative AI → AI Projects — a structured path from fundamentals to practical AI development.
Students practice writing Python programs, working with datasets, training and evaluating Machine Learning models, and building prediction, text and image applications — not theory alone.
Large Language Model concepts, prompt engineering, AI APIs and AI-powered applications are taught as part of the path, not bolted on as a buzzword module.
Resume preparation, AI project presentation, interview preparation and portfolio development sit alongside the technical curriculum.
Previous professional Artificial Intelligence experience is not required — the program can start from programming and AI fundamentals and gradually move toward Machine Learning, Deep Learning, Generative AI and practical projects.
12th-pass students can start learning AI with a gradual introduction to programming and AI concepts; BCA, B.Tech, MCA, BSc-IT and BSc students can learn alongside their academic education.
Graduates from technical backgrounds can explore AI, Machine Learning, Data Science and AI application development; job seekers can build a portfolio of practical AI projects.
Professionals can upgrade their technical skills, explore automation opportunities, or use structured AI training as a starting point for a technology-focused career move.
Anyone curious about ChatGPT, Generative AI, computer vision or AI automation can start here; Python beginners can learn the language before progressing to Machine Learning and AI.
People interested in data analysis, prediction, patterns and intelligent systems can learn how Machine Learning models use data to make predictions and classifications.
Business owners and entrepreneurs interested in AI-powered automation, chatbots, recommendation systems or intelligent business solutions can learn AI fundamentals.
Conditions of admission
Unsure whether your background qualifies? A ten-minute counselling call settles it — no obligation.
Speak to admissionsDepending on the current AI curriculum, students may work with the following — the exact tools should be confirmed with the current Techcadd Mohali session before treating them as fixed curriculum details:
issued on completing the programme, subject to techcadd's certification requirements
prediction systems, classification models, an NLP or computer vision project and a Generative AI application you can show in an interview
AI development involves programming, data preparation, model errors, debugging and evaluation — trainer guidance helps students work through these step by step
resume preparation, AI project presentation and technical interview preparation alongside the technical curriculum
Issued by
techcadd Computer Education
Verifiable by roll number, so a recruiter can confirm your record with techcadd — soft copy in your student portal, hard copy at the campus.
After developing the required technical skills, practical projects and portfolio, students can explore roles such as AI Developer, Machine Learning Developer, Junior Machine Learning Engineer, Artificial Intelligence Engineer, AI Application Developer, Python Developer, Junior Data Scientist, NLP Developer, Computer Vision Developer, Generative AI Developer and AI Automation Developer.
AI, Machine Learning and Generative AI skills are increasingly relevant across software, data, automation and product roles, not confined to titles with "AI" in them.
This program provides a foundation for AI development. Becoming job-ready also requires regular coding practice, Machine Learning knowledge, strong projects, problem-solving skills and continued learning.
Train, evaluate and improve a supervised learning model on a real dataset — regression or classification.
Build a text classification, sentiment analysis or chatbot-style application using NLP concepts.
Apply image classification or CNN concepts to a practical image-based use case.
Integrate an AI API and prompt engineering into a working Generative AI-powered application.
learning through coding exercises, datasets, models, assignments and AI projects, not theory alone.
students can begin with Python and fundamental concepts before progressing toward Machine Learning and advanced AI technologies.
opportunities to apply AI concepts through practical projects instead of studying concepts only theoretically.
guidance on resume preparation, AI project presentation, interview preparation, technical interview questions, portfolio development and career direction.
In-person sessions with hands-on practice, depending on current session availability.
Graduates of this programme, on what the practical approach gave them.
4.8
190 recorded reviews
“The Generative AI course was current in a way online tutorials are not. Building a full RAG pipeline and deploying it gave me something genuinely impressive for my portfolio.”
“Running real ad budgets during the course was the difference. I walked into my first job already knowing how to read a campaign report and fix what was underperforming.”
“The cyber security lab setup let me break things safely and learn how attacks really work. Placement cell arranged three interviews within a month of finishing.”
“AutoCAD and SolidWorks were taught with actual production drawings, not textbook exercises. My employer noticed that my drawing sets followed proper standards from day one.”
Still unsure? A ten-minute call with a counsellor usually settles it faster than any brochure.
An Artificial Intelligence Diploma Program teaches students the fundamentals and practical applications of AI, including Python, Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI and AI application development.
Submit the form and an admissions counsellor from the Mohali centre will confirm session dates, fees and your place — usually the same working day.
Your details are used only to contact you about this application — never sold, never added to a marketing list.
Don't just use AI tools — understand how Artificial Intelligence works. Learn Python, Data Handling, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, Prompt Engineering, AI APIs and practical AI projects with Techcadd, Mohali.
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