AI & Data · Intermediate
Start with Python, statistics and data handling, then move on to supervised and unsupervised learning, model evaluation and deploying simple models into real applications.
Eligibility: Basic computer skills and school-level maths; no prior programming experience required
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The Machine Learning course in India at Techcadd is built for graduates, working professionals, job switchers and freelancers who want to turn data into decisions and build a career in one of the fastest-growing areas of technology. You will start with Python, statistics and data handling. Then you will move on to supervised and unsupervised learning, model evaluation and deploying simple models into real applications. Every concept is taught through hands-on projects, so you finish with a portfolio, not just notes.
The program suits learners from non-IT backgrounds as well as those with some coding experience. It is delivered through live online classes and classroom sessions. In Punjab, IT companies in Mohali, manufacturing units in Ludhiana and a growing startup scene are creating demand for data-driven skills, and this course gives local learners a practical way into the field. Learners in Jalandhar can attend at the Techcadd centre, while students from other states can join live online batches from home.
By the end, you will be able to clean data, train and tune models, and explain results clearly. These are the skills employers look for in entry-level machine learning and data roles.
The curriculum moves from basics to deployment, with a practical task at the end of each module.
Outcome: you can write Python scripts to handle and process data.
Outcome: you understand why models behave as they do, not only how to run them.
Outcome: you can turn messy data into clear, usable insights.
Outcome: you can build prediction and classification models.
Outcome: you can find patterns such as customer segments in unlabelled data.
Outcome: you can judge and improve a model with the right metrics.
Outcome: you understand how deep learning builds on core ML.
Outcome: you finish with a deployable project and a portfolio.
Concepts become skills only when you use them. Each week follows the same three steps.
Short concept sessions with live demos — every idea is shown before it is practised.
Hands-on labs and a project at the end of every module, reviewed by your mentor.
Explain your work in weekly demos — the same way you will in interviews.
| Category | Tools |
|---|---|
| Programming | Python, Jupyter Notebook, Google Colab |
| Data handling | NumPy, Pandas, SQL |
| Visualisation | Matplotlib, Seaborn |
| ML libraries | scikit-learn, XGBoost, LightGBM |
| Deep learning (intro) | TensorFlow or PyTorch |
| Deployment | Streamlit, Flask |
| Version control | Git and GitHub |
Tools evolve quickly, so the exact versions and libraries are updated as the industry changes.
Machine learning rewards curiosity and steady practice more than any single degree. If you are comfortable with basic computer use and school-level maths, you can start. The batches are paced so that complete beginners and learners with some coding background can progress together. No prior programming experience is required, because Python is taught from the ground up. This course is a good fit for:
From BCA, B.Tech, B.Sc, BBA, B.Com, MCA, MBA or M.Sc backgrounds who want a skill that employers actively hire for.
Such as analysts, developers, testers, accountants and marketers who want to use data and prediction in their current roles.
Moving from non-technical or support roles into data and AI-driven careers.
Who want to offer data analysis, automation and prediction projects to clients.
Who want to understand customer, sales and inventory data well enough to make better decisions.
Who are serious about a technology career and ready to put in regular practice time (a smaller share of each batch).
What you need: A laptop with a stable internet connection, a willingness to practise every week, and basic comfort with numbers. Everything else is covered in the training.
Check My EligibilityLearners from several North Indian states join the live online batches. Each brings a different need.
With manufacturing, sports goods, hosiery and agri-tech businesses across the state, a machine learning course in Punjab helps learners apply ML to demand forecasting, quality checks and export planning.
Learners near Gurugram work around MNCs, e-commerce and logistics firms. A machine learning course in Haryana helps analysts and developers move into ML roles within the same industry.
With tourism, horticulture and a growing remote-work culture, live online classes let learners in Shimla or other hill towns train without relocating, and take on freelance data projects.
The tricity has IT, BPO and startup teams, so a machine learning course in Chandigarh suits working professionals who want to upskill alongside their jobs.
As the largest fresher job market, with agencies, fintech and e-commerce firms in Noida and Delhi, a machine learning course in Delhi helps graduates stand out with a project portfolio.
Tourism, handicrafts and online sellers generate useful data, and an online machine learning course for J&K students in Jammu or Srinagar offers a way to learn without leaving home.
Learners in Dehradun and Haridwar connected to pharma units, education and hospitality can use a machine learning course in Uttarakhand to move into analytics and process-automation roles.
With tourism, jewellery and textile businesses in Jaipur, a machine learning course in Rajasthan helps learners work on customer behaviour and sales prediction.
Electronics, retail and government-sector work around Lucknow and Meerut create openings, and a machine learning course in Uttar Pradesh prepares learners for data-driven roles in these sectors.
Job roles: Machine Learning Engineer (junior), Data Analyst, Junior Data Scientist, AI Developer, Business Analyst with ML skills, and freelance ML consultant.
Salary (approximate): Freshers in India typically see about ₹4-8 LPA, depending on skills, portfolio, city and company. With 2-4 years of experience, many professionals move into the ₹8-18 LPA range. These are indicative figures and vary widely.
Manufacturers in Ludhiana and Jalandhar, along with exporters and agri-tech firms, need people who can forecast demand and detect quality defects. Mohali's IT companies hire for data and ML roles.
Machine learning jobs in Haryana are concentrated around Gurugram and Faridabad, where MNCs, logistics firms and e-commerce companies use ML for recommendations, routing and fraud detection.
Noida and Delhi have the largest concentration of agencies, fintech companies and product startups, which makes it the strongest market for fresher ML and analytics roles.
IT services, BPO analytics and a growing startup scene create openings for data analysts and junior ML engineers.
Pharma units in Baddi and tourism businesses generate data, and many learners here build careers through remote work and freelance projects.
Lucknow and Noida offer roles in IT, electronics, retail analytics and government-linked digital projects.
Many learners also apply for remote roles with companies in Bengaluru, Hyderabad and Pune without relocating.
Every batch is led by a senior mentor and supported by teaching assistants, so doubts are cleared the same day.
Lead Data Science Mentor
Worked on forecasting and analytics for retail and healthcare companies before teaching. Known for explaining statistics and ML with real Punjab business datasets.
Machine learning is no longer limited to big tech companies. Banks use it to spot fraud, e-commerce firms use it to recommend products, hospitals use it to read scans, and factories use it to predict equipment failures. Companies in these sectors need people who can work with data and build models that solve real business problems. This program is designed to prepare you for that kind of work.
Each module ends with a practical task. You work with real-style datasets, clean them, train models and present your findings, so you build a portfolio you can show in interviews or to freelance clients.
The training covers Python, NumPy, Pandas, Matplotlib, scikit-learn and Jupyter Notebook, with an introduction to TensorFlow or PyTorch for deep learning basics. These are the tools most commonly listed in ML job descriptions.
You do not need a coding background. The course moves from Python and statistics to regression, classification, clustering and model evaluation, so each topic makes sense before the next begins.
You will understand how ML fits into roles such as Machine Learning Engineer, Data Analyst, Data Scientist (junior level), AI Developer and Business Analyst. Entry-level salaries in India are approximately ₹4-8 LPA for freshers, depending on skills, city, company and portfolio. Experienced professionals who add ML skills often move into higher-paying roles over time.
Live online classes let working professionals and learners outside the city train alongside their jobs or studies, while classroom sessions are available for those who prefer face-to-face learning.
If you run a business or take on client work, you can apply ML to sales forecasting, customer segmentation and simple automation, even if you never take a full-time ML job.
Choose this program if you want a practical, structured path into machine learning, if you can commit a few hours each week to practice, and if you want to build projects rather than only collect a certificate. If you are looking for a shortcut with no practice involved, no course, including this one, will deliver results.
Choosing where to learn machine learning matters as much as choosing the course. Techcadd focuses on practical skills, current tools and clear guidance, so you finish with things you can show to employers and clients.
This is what sets Techcadd apart. Machine learning is the core of modern AI and robotics. Learning it in a centre built around those technologies puts the subject in a real context. For a Machine Learning learner, this means:
Every module ends with a hands-on task. You clean datasets, train models, compare results and present your findings. By the end, you have a portfolio that shows what you can do.
The syllabus follows the skills listed in current ML and data job descriptions: Python, data handling, core algorithms, model evaluation and basic deployment. The curriculum is reviewed so that tools and topics stay current.
You learn from trainers who explain concepts in simple language, connect them to real business problems, and help you debug your code when you get stuck.
Smaller batches mean you can ask questions, get your code reviewed and receive feedback on your projects instead of getting lost in a crowd.
Learners receive a Techcadd course completion certificate after finishing the program. Your portfolio and practical skills are what employers weigh most, so use the certificate as supporting proof rather than the main one.
Support includes resume building, interview preparation and guidance on ML and data roles. Placement support is guidance and assistance, not a job guarantee; outcomes depend on your effort, skills and the market.
Choose live online classes or classroom sessions based on your schedule. Working professionals and learners outside the city can train without disrupting their jobs or studies.
Learners from other states receive the same live-class experience, doubt-clearing support and project guidance as classroom students. You are not treated as a second-tier batch.
Learn Machine Learning as a certificate course, as university industrial training, or as a longer job-ready diploma.
| Feature | Certificate Course | Industrial TrainingMost chosen | Job-Ready Diploma |
|---|---|---|---|
| Typical duration | 4–6 Months | 6 weeks – 6 months | 9 – 12 months |
| Full course curriculum | |||
| Module projects | |||
| Live industry project | Not included | ||
| University training report & letter | Not included | ||
| Advanced specialisation modules | Not included | Not included | |
| Placement assistance | |||
| Internship with experience letter | Not included | Not included |
Weekday Morning
Mon – Fri · 9:00 – 11:00 AM
ClassroomWeekday Evening
Mon – Fri · 5:00 – 7:00 PM
ClassroomWeekend
Sat – Sun · 10:00 AM – 1:00 PM
Classroom + LiveLive Online
Mon – Fri · 8:00 – 9:30 PM
Live onlineNot sure which track or batch suits you? A counsellor will help you decide.Ask a Counsellor
Your certificate lists your modules and projects, and our placement team works with you until you land the role.
Straight answers on eligibility, batches, certification and placements.
Still have a question?
Counsellors are available Mon – Sat: 9:00 AM – 7:00 PM.
Graduates, postgraduates, working professionals, job switchers and freelancers can all join, and no prior coding experience is required. Students after 12th can also enrol if they are ready to practise regularly. Basic computer skills and school-level maths are enough to begin.
Yes, a non-IT graduate can learn machine learning because the course starts with Python and statistics from scratch. Graduates from commerce, arts, management and science backgrounds regularly move into data roles. Consistent practice matters more than your degree.
The syllabus covers Python, statistics, data handling with Pandas and NumPy, supervised and unsupervised learning, model evaluation, an introduction to deep learning, and deployment with a capstone project. Each module ends with a practical task. The full module-wise breakdown is given in the "What You Will Learn" section above.
You will learn Python, Jupyter Notebook, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, SQL basics, and an introduction to TensorFlow or PyTorch. Deployment is covered with Streamlit or Flask, and Git and GitHub are used for version control. The toolset is reviewed as industry practice changes.
Yes, learners receive a Techcadd course completion certificate after finishing the program. This is a private institute certificate, so employers will weigh your portfolio and practical skills more heavily.
You can choose either live online classes or classroom sessions at the Jalandhar centre. Online learners get the same live teaching, projects and doubt-clearing support. This suits working professionals and learners outside Punjab.
Common roles include Junior Machine Learning Engineer, Data Analyst, Junior Data Scientist, AI Developer and Business Analyst. Freshers in India typically see approximately ₹4-8 LPA, depending on skills, portfolio, city and company. This is an indicative range, not a guarantee.
Yes, many learners use ML skills for freelance work such as data analysis, sales forecasting, customer segmentation and automation projects. You will need a solid portfolio and some client-handling practice to get started. The capstone project gives you a first portfolio piece.
Yes, the course is designed for beginners and starts with Python and statistics before moving to algorithms. Each topic builds on the previous one, and doubts are cleared in live sessions. Beginners should plan a few hours of practice each week.
Yes, students from Shimla, Solan, Dharamshala and other towns can join live online batches without relocating. A machine learning course in Himachal Pradesh through online classes also suits learners who plan remote work or freelancing. You only need a laptop and a stable internet connection.
In Punjab, manufacturers in Ludhiana and Jalandhar, agri-tech firms and Mohali's IT companies hire for data and ML roles. In Haryana, Gurugram and Faridabad offer openings in e-commerce, logistics and MNC analytics teams. Learners also apply remotely to companies in other cities.
Yes, learners in Delhi, Noida, Ghaziabad, Lucknow and Meerut can attend the same live online classes as other students. Delhi NCR has the largest concentration of fresher data roles in North India. Evening and weekend batches suit those who are working or studying.
Yes, students in Jammu, Srinagar, Dehradun and Haridwar can learn through live online classes with the same projects and support. You can then apply your skills to local sectors such as tourism, pharma and e-commerce, or take remote roles. Check batch timings with Techcadd before enrolling.
Ready to Build Real Machine Learning Skills? Join Techcadd's Machine Learning course and learn Python, data handling, model building and deployment through hands-on projects. Choose live online classes from anywhere in North India, or attend in the classroom at any centre. Talk to our counsellor, check the syllabus, and find a batch that fits your schedule.