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Read More →Learners in Mohali can join Uncodemy's Artificial Intelligence course, a 5–6 month live, instructor-led online program. The syllabus covers Python, Machine Learning, Deep Learning, NLP, Computer Vision, and the foundational concepts of Generative AI & LLMs. Uncodemy does not have a physical centre in Mohali — sessions are delivered entirely live online, with classroom training available at their Delhi and Noida centres for learners who can travel. The fee is ₹24,500 + 18% GST, i.e., ₹28,910 in total, and EMI plans start at ₹4,818/month for 6 months*.
Learn from 8+ years experienced professionals
Build real artificial intelligence test suites, not just theory
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
Those who complete Uncodemy's Data Science course acquire hands-on expertise in Python, SQL, Machine Learning, Statistics, Data Visualization (Power BI/Tableau), and Agile; after finishing both the training and career-readiness components, qualified individuals can pursue careers as Data Analysts, Data Scientists, and Business Intelligence Analysts.
Placed at:Makeo
Placed at:HSBC
Placed at:Fiserv
Placed at:Fis
Placed at:Access Meditech
Placed at:Genpact
Placed at:Capgemini
Placed at:Allsoft Solutions
Placed at:Vitraya Technologies
Placed at:PwC
Placed at:Webfries
Placed at:Anaptyss
Placed at:Iris Software
Placed at:Iris Software
Mohali, a key constituent of the Chandigarh tri-city region, has rapidly developed into a prominent IT and technology hub in Punjab. In this dynamic city, Artificial Intelligence is perceived as a vital instrument for driving innovation across its thriving IT services, healthcare, and manufacturing sectors. The city's growing infrastructure, including IT parks and proximity to educational institutions, is fostering AI adoption for applications ranging from advanced analytics and automation to smart city solutions and healthcare diagnostics.
What does an AI engineer do? An AI engineer in Mohali might collaborate with a healthcare firm to develop diagnostic support tools or work with a manufacturing company to implement quality inspection systems. Their daily work includes data collection and preprocessing, training and evaluating machine learning models, and deploying AI solutions into production. The role requires a solid foundation in Python and ML frameworks, strong problem-solving skills, and the ability to work collaboratively with cross-functional teams.
Although these three Uncodemy programs share some foundational elements, their specific focus and depth differ significantly. This comparison is designed for learners in Mohali, helping them choose a path that aligns with careers in the city's growing sectors like IT services, healthcare, and manufacturing.
| Aspect | Artificial Intelligence | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | A broad foundation covering ML, DL, NLP, CV, and GenAI | Building, fine-tuning & deploying LLM-powered applications | Building retrieval-grounded AI systems on enterprise knowledge |
| Coding depth | High | High | High |
| Typical entry salary | ₹4–8 LPA (Entry-Level AI Engineer, per this sheet) | ₹6–10 LPA (per LLM Engineering course sheet) | ₹5–9 LPA (per RAG Engineering course sheet) |
| Uncodemy program duration | 5–6 months | 5–6 months | 5–6 months |
Salary ranges are indicative and vary by role, skills, experience, location and employer.
This Artificial Intelligence course is a 5–6 month live online learning program comprising 110+ live sessions and 183+ hours of instruction. The curriculum is arranged into 13 modules that progress from AI basics through Python, mathematics and statistics, data preprocessing, machine learning fundamentals, supervised and unsupervised learning, model evaluation, deep learning and neural networks, NLP, computer vision, generative AI and LLM fundamentals, AI applications and deployment, and a 25-hour industry capstone. Every module features practical exercises using real tools. Mohali learners attend the course completely live online, while classroom training is offered at Uncodemy's Delhi and Noida centres for those who can travel.
Who should join this course:
Eligibility: Any graduate from a technical or non-technical background can enroll. Programming knowledge is helpful but not required — Python training begins in Module 2. Basic mathematics and statistics comfort is beneficial and will be developed in Module 3. A laptop and stable internet connection are necessary for the practical components.
Select a batch time that fits your schedule. Our live online batches operate on IST timings. Reserve a free demo class to experience the teaching firsthand, or sign up for our upcoming weekend and weekday live batches — designed for both working professionals and students, offering flexible schedules and practical training.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 07:30 PM – 08:30 PM | Mr. Irshad | 01Seat | |
| 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02Seats | |
| 10:30 AM – 11:30 AM | Mr. Irshad | 01Seat | |
| 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
8+ new batches start every month. Live online batches, IST timings. Seats are limited and updated daily.
The syllabus is organised into 13 modules covering 183+ hours. The order follows how AI skills build: foundations → Python → math/stats → data preprocessing → ML fundamentals → supervised/unsupervised learning → model evaluation → deep learning → NLP → computer vision → GenAI/LLM fundamentals → deployment → industry capstone. Each module includes practical exercises with real tools, and the program closes with hands-on AI projects and an industry capstone.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Artificial Intelligence Fundamentals | 10 | Python, Jupyter Notebook |
| 2 | Python for Artificial Intelligence | 15 | Python, Jupyter Notebook, Git/GitHub |
| 3 | Mathematics & Statistics for AI | 12 | Python, NumPy, SciPy |
| 4 | Data Preprocessing & Feature Engineering | 12 | Pandas, NumPy, Matplotlib, Seaborn |
| 5 | Machine Learning Fundamentals | 15 | Scikit-learn, Pandas |
| 6 | Supervised & Unsupervised Learning | 15 | Scikit-learn, Matplotlib |
| 7 | Model Evaluation & Optimization | 10 | Scikit-learn, Seaborn |
| 8 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras, PyTorch |
| 9 | Natural Language Processing (NLP) | 12 | NLTK, spaCy, Hugging Face |
| 10 | Computer Vision & Image AI | 12 | OpenCV, PyTorch, TensorFlow |
| 11 | Generative AI & LLM Fundamentals | 15 | OpenAI APIs, Hugging Face |
| 12 | AI Applications, APIs & Deployment | 15 | FastAPI, Docker, Git/GitHub |
| 13 | AI Projects & Industry Capstone | 25 | All tools |
| Total | 183 Hours | 15+ tools | |
Artificial Intelligence is the field of creating systems capable of learning from data, reasoning with that knowledge, and making predictions or decisions without being explicitly programmed for every possible scenario. Machine learning, deep learning, natural language processing, and computer vision are its core subfields. AI systems power recommendation engines, voice assistants, fraud detection, medical imaging analysis, and the generative AI tools now embedded in everyday software.
What does an AI engineer do? On a typical day, an AI engineer prepares and engineers data features, trains and evaluates ML/DL models, builds NLP or computer vision pipelines, integrates generative AI/LLM capabilities into applications, and deploys models via APIs. The role sits at the intersection of software engineering, statistics, and domain knowledge — which is why employers weight both coding ability and conceptual understanding during interviews.
This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.
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Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy is a career-focused IT training institute operated by Uncodemy Edutech Pvt. Ltd. With over 14 years of experience in delivering quality education, physical centres in Delhi and Noida, and live online classes reaching students across India including Mohali, Uncodemy provides instructor-led training in cutting-edge technologies.
In this Artificial Intelligence program, participants build machine learning models, deep learning projects, NLP and computer vision pipelines, GenAI-integrated applications, and a 25-hour industry capstone project. The training covers the complete AI development lifecycle — from data preprocessing and feature engineering to model training, evaluation, optimization, and deployment via APIs.
Beyond training, Uncodemy offers instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it excludes — is set out in our career support policy, together with the eligibility conditions published before enrolment rather than after payment.
If you are still deciding on a direction, Uncodemy also runs LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Mohali and Punjab learners.
Portfolio/capstone project review:Your hands-on ML/DL/NLP/CV work and industry capstone are reviewed and refined into a portfolio an interview will find credible.
Resume & LinkedIn:We build your resume around AI/ML keywords and measurable outcomes, and align your LinkedIn profile to match.
Interview preparation:ML/DL concept questions, coding rounds, case-study discussions and AI-specific interview scenarios.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.
Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.
Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.
The people who actually teach this course
Uncodemy ensures teaching and independent academic review stay separate. Trainers conduct the live classes, while domain reviewers make sure the syllabus remains accurate and relevant without teaching the batch. Mr. Upendra Kumar Tiwari assesses the technical content for this Data Science program, contributing a distinct quality check alongside classroom delivery.
The Delhi classroom batches are taught by the same faculty who support the Noida and online formats. Prospective learners may request to observe part of a live session before making a decision.
Trainer and reviewer names, areas of expertise and professional backgrounds are shared openly by Uncodemy, so learners can review the people connected with the course before enrolling.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Mohali's tech economy is built on hundreds of small and mid-size firms that design websites, mobile apps and custom software for clients abroad. Increasingly, those clients ask for features that need machine learning: a photo that tags itself, a search that understands typos, a dashboard that predicts next month's sales. That shift opens a door for learners who understand ML properly. This page covers what that work looks like, who in Mohali tends to take a broad AI course, how studying online fits around agency hours, and a project rooted in the region's language.
Studios in the industrial-area phases and around IT City rarely do research. Their ML work comes inside client projects, usually small and time-boxed, and it tends to fall into a few repeatable patterns.
A junior who can take a client's spreadsheet, build a sensible baseline and explain it plainly is useful in this setting long before they could design a new architecture.
Large private campuses in Mohali district, such as Chandigarh University at Gharuan, send many BTech, BCA and MCA students into the same job market each year. An end-to-end ML project helps them stand out from a crowd with similar degrees.
PHP, JavaScript, Flutter or Android developers at local studios who keep seeing ML in client requirements and want to own those features instead of outsourcing them.
People who already work with client data or test apps and want a more technical, model-focused role within two years.
Mohali also has research institutions, including IISER Mohali and a C-DAC centre. Their science students sometimes take a structured course like this to learn practical tooling such as PyTorch, Git and FastAPI next to their academic work.
Uncodemy has no centre in the Tricity; the classrooms are at Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar). Mohali learners join the course live online, instructor-led, with weekday and weekend batches; classroom batches only in Noida and Delhi.
Studios serving North American clients often run late evening calls, so many working learners choose weekend batches and keep one weekday morning for practice. The course covers 13 modules using Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI. Developers usually move quickly through the Python module and need the most time in maths, evaluation and deep learning; students often find the reverse. Join a free demo class to judge the pace for yourself.
The course finishes with a 25-hour industry capstone project. Few portfolios touch Indian languages, and Punjabi in Gurmukhi script is an obvious, local choice. Public Indian-language corpora, such as those released by the AI4Bharat research group, make it possible without private data.
Mixed-script text is something local clients, from regional news portals to customer-support teams, actually deal with. Being able to discuss it in an interview sets you apart from candidates who only trained on English movie reviews.
Realistic first steps here are an ML or AI intern at a studio, a junior ML or computer-vision engineer, a data analyst who builds models, or a developer who integrates ML and GenAI features into client apps.
Indicatively, fresher offers for such roles in Mohali often fall around ₹2.8–5 LPA, with stronger candidates at larger firms or remote teams earning more. After two to three years of real ML work, ₹5–10 LPA is a common indicative band.
Indicative only, based on public job listings; actual offers vary with the firm, your skills and the interview. Uncodemy has no hiring tie-up with Mohali employers and does not promise any salary. For practice, use ML interview questions for freshers.
Hiring in Mohali's smaller firms moves quickly and is practical. A founder or project manager often joins the technical round, and the questions reflect client work rather than textbook theory.
Rehearse with scenario-based ML interview questions and practical ML questions, which are close to the kind of reasoning studio interviewers look for.
Uncodemy
An end-to-end AI project that builds a content-based and collaborative filtering recommendation engine using Python, Pandas and Scikit-learn. It includes data cleaning, feature engineering, similarity calculation and an interactive recommendation interface.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete machine learning project that detects fraudulent credit card transactions using classification algorithms. It covers data imbalance handling, feature selection, model training, evaluation metrics and real-time fraud prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A predictive analytics project that forecasts employee attrition using machine learning models. It includes exploratory data analysis, feature engineering, model building, hyperparameter tuning and actionable HR insights for reducing attrition.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An advanced agentic AI project that autonomously researches topics, gathers information from multiple sources, summarizes findings and generates structured research reports using large language models and tool calling.
Python
Jupyter Notebook
GitHub
SQL
Uncodemy
An intelligent AI-powered interview agent that conducts technical interviews, evaluates candidate responses in real time, provides feedback scores and generates detailed performance reports using natural language processing and LLMs.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An end-to-end regression project that predicts house prices using advanced machine learning techniques. It covers data preprocessing, feature engineering, model selection, evaluation and deployment-ready prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A comprehensive healthcare analytics project that explores patient data, disease trends, treatment outcomes and hospital performance using Python, SQL and advanced visualization techniques to generate actionable medical insights.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete end-to-end recommendation system project that combines collaborative filtering and content-based techniques to suggest personalized movies. Built with Python, Pandas and machine learning algorithms for accurate user preference matching.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A natural language processing project that classifies emails as spam or non-spam using TF-IDF vectorization and machine learning classifiers. It includes text preprocessing, feature extraction, model comparison and evaluation using accuracy, precision and recall.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A hands-on LLM engineering project covering large language model integration, prompt design, embedding-based retrieval and deployment through an API. It focuses on building production-ready LLM pipelines with evaluation and monitoring.
Python
LangChain
OpenAI API
GitHub
Uncodemy
A generative AI application that uses large language models and prompt engineering to deliver domain-specific conversational experiences. It includes vector search, context management and API-based deployment for real-world business use cases.
Python
OpenAI API
LangChain
GitHub
Uncodemy
An AI-powered customer support agent that handles user queries, retrieves answers from a knowledge base and escalates complex issues. Built with LLM APIs, prompt engineering and retrieval-augmented generation for accurate, context-aware responses.
Python
OpenAI API
LangChain
GitHub
Uncodemy
An AI-driven question-answering agent that responds to user queries using LLMs and retrieval-augmented generation. It includes document ingestion, vector search and prompt optimization to deliver accurate, grounded answers.
Python
OpenAI API
LangChain
GitHub
Uncodemy
A conversational shopping assistant powered by LLMs that helps users discover products, compare options and get personalized recommendations. Built with prompt engineering, vector search and API integration for a smooth e-commerce experience.
Python
OpenAI API
LangChain
GitHub
Online. Uncodemy has classrooms only at Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar), so Mohali learners attend live online batches with trainer interaction.
₹24,500 + GST, which works out to ₹28,910 with GST. You can also pay ₹4,818 a month for 6 months.
5–6 months, 183+ hours and 110+ live sessions across 13 modules: Python, maths, machine learning, deep learning, NLP, computer vision, generative AI, deployment and a 25-hour industry capstone project.
Yes, if you want to build ML features yourself. You will learn to train and evaluate models and serve them through an API your app can call, which is the part most app developers lack.
Some studios and IT firms do, usually as interns, junior ML engineers or developers with ML tasks. Openings are fewer than in NCR, and Uncodemy has no hiring tie-up with them.
Weekend batches suit most people with US-hour calls. Recordings help occasionally, but regular live attendance is what keeps you on track.
No prior Python or ML experience is needed: Python is taught from Module 2 and the maths and statistics you need are built up in Module 3. A graduate degree in any field is enough.
No. Uncodemy provides resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee).
4.7/5 (500+)
5/5 (30+)
4.7/5 (500+)
5/5
4/5 (130+)
5/5 (54+)