AI & Data · Advanced
Learn how artificial neural networks, CNNs, RNNs, LSTMs and transformers learn from data, working in Python with TensorFlow, Keras and PyTorch on real datasets.
Eligibility: Basic computer skills and school-level maths; Python or machine learning knowledge is useful but not compulsory
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The deep learning course at techcadd is built for learners who want to move beyond basic machine learning and build real neural network systems. This Deep Learning course in India covers how artificial neural networks, CNNs, RNNs, LSTMs and transformers learn from data. You will see how they power image recognition, speech assistants, chatbots, fraud detection and generative AI tools. You will work in Python with TensorFlow, Keras and PyTorch, and train models on real datasets instead of only reading theory.
The program is designed for graduates, postgraduates, working professionals, job switchers and freelancers. It balances concepts, hands-on coding and project work, so you finish with a portfolio that shows what you can actually build. For learners in Punjab, where IT, startups and export-driven businesses keep growing, AI skills open doors to better roles and remote opportunities across India.
Classes run online with live sessions, and learners who prefer in-person guidance can attend at the techcadd centre in Jalandhar. By the end, you will be able to design, train, evaluate and deploy deep learning models with confidence.
The curriculum moves from foundations to advanced models, with a practice task or mini project in every module.
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, Matplotlib, Scikit-learn |
| Deep learning frameworks | TensorFlow, Keras, PyTorch |
| Computer vision | OpenCV |
| NLP and generative AI | Hugging Face Transformers |
| Deployment and sharing | Flask or FastAPI, Streamlit, Git and GitHub |
Tool versions change quickly, so the syllabus uses current stable releases of these libraries.
This program is for anyone who wants to build practical AI skills, not only learn definitions. You do not need to be an existing data scientist. You need curiosity, logical thinking and the willingness to practise coding regularly. This course suits:
From B.Tech, BCA, B.Sc, MCA, M.Sc, MBA Analytics and related streams who want a strong, job-relevant AI skill.
In IT, software testing, data analysis, engineering or finance who want to move into AI and machine learning roles.
From non-technical fields who are ready to learn Python and start a new career path.
Who want to offer AI services such as image processing, text analysis or chatbot development.
Who want to understand how deep learning can improve forecasting, quality checks or customer support.
Who are serious about AI and ready to start from the fundamentals. This is a small part of our learner mix, so the pace and projects are pitched mainly at graduates and professionals.
What you need: Basic computer skills and school-level maths. Knowing Python or machine learning is useful but not compulsory. Beginners should expect to spend extra time on programming and statistics at the start.
Check My EligibilityLearners do not need to relocate to join. With live online classes, the same course reaches students across North India. Each region has its own reason to learn deep learning:
A deep learning course in Punjab suits professionals in manufacturing and export units around Ludhiana, where image-based quality inspection and demand forecasting are growing needs.
For a deep learning course in Haryana, the draw is the MNC, e-commerce and logistics ecosystem in Gurugram, where recommendation systems and route optimisation depend on AI skills.
A deep learning course in Himachal Pradesh lets learners in Shimla or Solan build skills for remote jobs and freelancing, or apply vision models to pharma quality checks in industrial belts like Baddi.
A deep learning course in Chandigarh fits IT and BPO employees in Panchkula and Mohali who want to upskill alongside their jobs and move into AI roles.
A deep learning course in Delhi helps freshers and switchers compete in the country's largest entry-level job market, with agencies, fintech and e-commerce firms in Noida and Ghaziabad.
A deep learning course in Jammu and Kashmir gives learners in Jammu and Srinagar location-independent access, useful for online sellers, tourism platforms and horticulture businesses exploring AI.
A deep learning course in Uttarakhand benefits learners in Dehradun and Haridwar who work in education technology, hospitality analytics or the SIDCUL pharma sector.
A deep learning course in Rajasthan is relevant for Jaipur's tourism, jewellery, handicraft and textile businesses, where image recognition and personalised recommendations add real value.
A deep learning course in Uttar Pradesh suits IT and electronics professionals in Noida and Lucknow, as well as learners aiming for technical roles in the government sector.
Deep learning skills lead to roles such as Deep Learning Engineer, Machine Learning Engineer, Computer Vision Engineer, NLP Engineer, AI Engineer and Data Scientist. Freelancers can also offer image processing, chatbot and automation services. Demand is growing as more companies adopt generative AI, automation and smart analytics. Salaries are approximate and vary by skills and employer.
Deep learning jobs in Punjab are growing in Mohali's IT companies and startups, and in agri-tech, where crop disease detection from images is a practical use case.
Gurugram's MNCs, e-commerce firms and logistics companies hire for recommendation systems, demand forecasting and delivery optimisation.
Fintech, media and digital agencies in Delhi, Noida and Ghaziabad look for AI engineers for fraud detection, chatbots and content tools, and the area has the largest fresher job market.
Tricity IT and BPO companies need NLP and automation skills for customer support analytics and document processing.
In Jaipur, tourism, jewellery and textile businesses are exploring image search, design recommendation and customer analytics.
Noida's electronics and IT firms and Lucknow's government-linked projects create openings in computer vision, quality inspection and data-driven governance.
Metros like Bengaluru, Hyderabad, Pune and Mumbai remain the biggest AI hiring hubs, and many roles there now allow remote or hybrid work.
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.
Deep learning is the technology behind most of the AI products people use every day: face unlock on phones, voice assistants, language translation, medical image analysis, self-checkout cameras and generative AI tools. Companies in India are hiring people who can actually build and tune these models, not only use ready-made apps.
You write code from the first weeks. You train neural networks, see them fail, fix overfitting and improve accuracy, which is how real AI work happens.
The program moves from Python and neural network fundamentals to CNNs for images, RNNs and LSTMs for sequences, and transformers for language tasks. Each step builds on the previous one, so beginners do not feel lost.
You work with Python, NumPy, Pandas, TensorFlow, Keras, PyTorch, OpenCV and Google Colab, the same stack used in most AI teams and in freelance projects. You also get an introduction to using pre-trained models from Hugging Face.
Examples include an image classifier, a face or object detection system, a sentiment analysis model and a simple chatbot. Recruiters and clients look at working projects more closely than at certificate titles.
Live online classes allow professionals and job switchers to learn without leaving their current job or city, while offline guidance remains available for those who prefer it.
Deep learning skills are used across roles such as:
Salary depends on your skills, projects, city and interview performance. As a rough guide, entry-level AI and ML roles in India often fall in the range of ₹4 to ₹8 lakh per year, and experienced professionals with strong project work can move well above ₹12 lakh per year. These figures are approximate and vary by company. Metros like Bengaluru, Hyderabad, Pune and Mumbai hire the most AI talent, but many companies now accept remote or hybrid candidates, which helps learners based in smaller cities.
Machine learning is the wider field and works well for structured data like sales, customer or finance records. Deep learning goes further when you work with images, audio, video or large amounts of text. If you already know basic machine learning, this course is the natural next step. If you are starting fresh, the program covers the required foundations first.
It is a good fit if you enjoy problem-solving, want a technical career with long-term demand, and are ready to practise regularly. It is not a shortcut. Results depend on your effort, but with structured guidance and real projects, steady learners can build solid, job-relevant skills.
Choosing where to learn deep learning matters as much as choosing the course. Here is what learners get at techcadd.
techcadd positions itself as North India's first AI-powered and Robotics learning centre, and for deep learning learners this means the subject is taught in an environment where AI and robotics are part of everyday learning, not just a chapter in a syllabus. What this means for you:
Every major concept is followed by coding practice and a mini project. By the end, you hold a portfolio of working models you can show to employers or clients.
The syllabus focuses on what AI teams actually use today: neural networks, CNNs, RNNs, LSTMs, transformers and model deployment. It is reviewed so that outdated topics do not take up your time.
You learn from trainers who work hands-on with AI and programming, and who can explain difficult topics like backpropagation and overfitting in simple language, with doubt-solving built into the sessions.
Smaller groups mean you get personal attention, can ask questions freely and receive feedback on your code and projects.
Learners receive a techcadd course completion certificate after finishing the program and its projects. The certificate shows your training, while your projects and skills decide your job opportunities.
techcadd offers career guidance such as resume building, portfolio review and interview preparation. Job offers depend on your skills and performance and cannot be guaranteed.
Live online classes suit working professionals, freelancers and learners in other cities, while offline guidance is available for those who prefer classroom learning.
Learners outside Punjab receive the same live-class experience, recorded or shared learning material where available, and doubt support, so distance does not limit learning quality.
Learn Deep 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 | 3–4 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.
A deep learning course teaches you how to build and train artificial neural networks that learn from large amounts of data. At techcadd, the program covers Python, neural networks, CNNs, RNNs, LSTMs, transformers and model deployment through hands-on projects.
Graduates, postgraduates, working professionals, job switchers and freelancers can join, and no prior AI experience is mandatory. Students who have completed 12th can also join if they are ready to learn Python and basic maths from the start, though the program is pitched mainly at graduates and professionals.
Yes, beginners can start, because the program first covers Python, maths basics and machine learning foundations before moving to neural networks. Expect to spend extra practice time on programming in the first few weeks.
The syllabus covers Python and maths, machine learning basics, neural network fundamentals, TensorFlow, Keras and PyTorch, computer vision with CNNs, sequence models, transformers, model deployment and a capstone project. You can see the module-wise details in the "What You Will Learn" section above.
You will work with Python, Jupyter Notebook, Google Colab, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face Transformers, Streamlit and Git/GitHub. These are widely used in AI teams and freelance projects.
Yes, learners receive a techcadd course completion certificate after finishing the program and its projects. The certificate shows your training, while your skills and portfolio matter most for jobs.
You can learn fully online through live classes, or attend offline guidance at the techcadd centre in Jalandhar if you prefer. Working professionals often choose the online mode for flexibility.
You can apply for roles such as Deep Learning Engineer, Machine Learning Engineer, Computer Vision Engineer, NLP Engineer, AI Engineer and Data Scientist, or work as an AI freelancer. Job offers depend on your skills, projects and interview performance and cannot be guaranteed.
Entry-level AI and ML roles in India often pay roughly ₹4 to ₹8 lakh per year, and experienced professionals with strong projects can earn well above ₹12 lakh per year. These figures are approximate and vary by company, city and skills.
Yes, many learners offer services such as image classification, chatbot development, text analysis and automation to clients. A strong project portfolio on GitHub helps you win your first freelance projects.
Yes, students from Himachal Pradesh can join through live online classes from Shimla, Solan, Dharamshala or any other town with a stable internet connection. This suits learners aiming for remote jobs or freelancing.
In Punjab, openings are growing in Mohali's IT companies, startups and agri-tech, while Haryana's Gurugram and Faridabad offer roles in MNCs, e-commerce and logistics. Remote roles with companies in other cities are also open to learners from both states.
Yes, learners from Uttarakhand and Jammu & Kashmir can study online and apply the skills in tourism platforms, education technology, e-commerce and remote work. Location does not limit access, since classes are live and online.
Yes, learners in Rajasthan can apply it in tourism, jewellery and textile businesses, while learners in Uttar Pradesh can target IT, electronics and government-linked technical roles in Noida and Lucknow. The same live online classes are available to both.
Build real AI skills with live classes, hands-on projects and personal guidance. Learn neural networks, CNNs, LSTMs and transformers using Python, TensorFlow and PyTorch, and finish with a portfolio of working projects. Join from anywhere in North India, whether you are in Punjab, Haryana, Himachal Pradesh, Chandigarh, Delhi, Jammu & Kashmir, Uttarakhand, Rajasthan or Uttar Pradesh.