Neural networks, CNNs, RNNs, computer vision and NLP — built and trained in TensorFlow and Keras.
4 Months
Programme length
10 modules
40 topics covered
Intermediate
Difficulty level
100%
Placement assistance
Admissions open
Next session starts in 2 weeks
Session slots
A 4 Months intermediate track taught at our Sector 75 campus in Mohali and live online, built around what employers in this field are hiring for right now.
Looking for a Deep Learning course in Mohali that goes beyond machine learning basics and into neural networks and real AI systems? Techcadd's Deep Learning program is built for students who want to work at the cutting edge of artificial intelligence — from image recognition to natural language processing. Based in Mohali and accessible to students across the Tricity region — Chandigarh, Panchkula, Kharar, and Zirakpur — this course takes you from neural network fundamentals to building real deep learning models using industry-standard frameworks. You'll work hands-on with Python, TensorFlow, and Keras, learning how neural networks are structured, trained, and optimized to solve complex problems like image classification, text analysis, and pattern recognition. With 1:1 session mentorship, trainers who understand what Mohali and Chandigarh's growing AI job market actually demands, and a strong project-first approach, Techcadd keeps deep learning genuinely learnable rather than overwhelming. Whether you already have a foundation in Python and machine learning and want to specialize further, or you're a graduate exploring advanced AI career paths, this program meets you where you are. With dedicated placement support and an established reputation in AI training, Techcadd is a trusted choice for Deep Learning training in Mohali.
ISO-certified certificate
Plus a project completion letter
Internship letter
Earned on live project work
Every session recorded
Kept in your student portal
Small, mentored sessions
Code reviewed by a working engineer
Deep Learning
4 MonthsIntermediateMohali & live online
4.7 / 5
414 reviews
ISO certified
Certificate + internship letter
10 modules and 40 topics across 4 Months. Each one closes in something you build, review and keep in your portfolio.
Where the programme starts — no prior experience assumed.
4 topicsModule 1 of 10
What this module covers
4 topics
Picks up from neural network fundamentals and adds the working skills on top.
4 topicsModule 2 of 10
What this module covers
4 topics
Picks up from forward propagation and backpropagation and adds the working skills on top.
4 topicsModule 3 of 10
What this module covers
4 topics
Picks up from building neural networks with tensorflow and keras and adds the working skills on top.
4 topicsModule 4 of 10
What this module covers
4 topics
Picks up from convolutional neural networks (cnns) for computer vision and adds the working skills on top.
4 topicsModule 5 of 10
What this module covers
4 topics
Picks up from recurrent neural networks (rnns) and sequence data and adds the working skills on top.
4 topicsModule 6 of 10
What this module covers
4 topics
Picks up from natural language processing (nlp) basics and adds the working skills on top.
4 topicsModule 7 of 10
What this module covers
4 topics
Picks up from model evaluation, overfitting and optimization and adds the working skills on top.
4 topicsModule 8 of 10
What this module covers
4 topics
Picks up from transfer learning concepts and adds the working skills on top.
4 topicsModule 9 of 10
What this module covers
4 topics
The final stretch: the live project, the review and the portfolio hand-off.
4 topicsModule 10 of 10
What this module covers
4 topics
Every skill below is taught hands-on, in a session where you build with it rather than watch a slide about it.
20+
core skills covered
Neurons and layers
Neural Network Fundamentals
Weights and biases
Neural Network Fundamentals
How a network makes a prediction
Forward Propagation and Backpropagation
How it learns from its mistakes
Forward Propagation and Backpropagation
Constructing a model
Building Neural Networks with TensorFlow and Keras
Compiling and training it
Building Neural Networks with TensorFlow and Keras
How convolution works
Convolutional Neural Networks (CNNs) for Computer Vision
Image classification
Convolutional Neural Networks (CNNs) for Computer Vision
How RNNs handle sequences
Recurrent Neural Networks (RNNs) and Sequence Data
Text data
Recurrent Neural Networks (RNNs) and Sequence Data
Text preprocessing
Natural Language Processing (NLP) Basics
Text classification
Natural Language Processing (NLP) Basics
Evaluating a deep learning model
Model Evaluation, Overfitting and Optimization
Recognising overfitting and underfitting
Model Evaluation, Overfitting and Optimization
Using pre-trained models
Transfer Learning Concepts
Adapting them to a new problem
Transfer Learning Concepts
Image classification
Real-World Projects & Capstone Work
Text analysis
Real-World Projects & Capstone Work
Resume support tailored to AI/ML roles
Career Readiness Skills
Mock interview practice
Career Readiness Skills
Every session is taught by working professionals, builds on live projects from the third week, and hands over to a placement team that keeps working until you are hired.
8 reasons the Deep Learning track produces people who get hired, rather than people who finished a syllabus.
Book a free demo classRather than jumping straight into pre-built models, this program ensures students understand how neural networks actually work — layers, weights, activation functions, and backpropagation — before applying them. This foundational understanding means students can troubleshoot and adapt models in real jobs, not just run pre-written code without knowing why it works.
Students train directly on TensorFlow and Keras — the same frameworks used by AI teams across the industry, including companies hiring in Mohali's IT Park and the broader Tricity region. This means the skills learned in the classroom transfer directly to real workplace tools, not academic-only libraries.
The course goes beyond theory into applied areas like computer vision (image classification, object detection basics) and natural language processing (text classification, sentiment analysis) — two of the most in-demand deep learning specializations in today's job market, both locally and nationally.
True to Techcadd's teaching philosophy, this program is centred around hands-on projects. Students train real neural networks on real datasets, encountering the practical challenges of model training — like overfitting, underfitting, and long training times — and learning how to actually solve them, not just read about them.
Deep learning concepts can be genuinely difficult the first time through — understanding gradient descent, tuning hyperparameters, or debugging a model that isn't learning properly takes real mentorship. With 1:1 session-based training, Techcadd's trainers can give the one-on-one attention this subject often requires.
For students who've already built a foundation in Python and machine learning, this course offers a structured, logical next step rather than an overwhelming jump. The curriculum assumes and builds on that foundation, making the learning curve manageable rather than intimidating.
Because deep learning is a more specialized skill set, placement guidance is tailored accordingly — helping students position themselves for AI-focused roles rather than generic tech openings. Techcadd's placement team draws on real hiring relationships across Mohali, Chandigarh, and Panchkula's expanding AI and tech ecosystem.
This Deep Learning course fits within Techcadd's broader AI, Machine Learning, and Data Science training ecosystem — meaning students can build a genuinely comprehensive, layered skill set over time, backed by a training center with an established track record of turning beginners into job-ready tech professionals.
12,450+
Students trained
450+
Hiring partners
98%
Placement success
15+
Years of excellence
Deep Learning is a intermediate track. These are the four kinds of people who typically sit in the session — if you recognise yourself in any of them, you are in the right place.
If you've already worked with Python — whether through a data analytics course, a machine learning course, or self-study — and you're ready to go further into neural networks and AI, this course is a natural next step. Techcadd builds on existing Python knowledge and gradually introduces neural network concepts, so you're not starting from zero, but you're also not thrown into complex research papers without support.
Technical graduates from Mohali, Chandigarh, and surrounding areas looking to specialize beyond general programming or web development will find this course directly relevant. Deep learning skills — particularly in computer vision and NLP — are increasingly requested in job postings across the Tricity IT hub, making this a strong specialization choice for CS-background students.
If you're currently working as a data analyst, software developer, or in a related tech role around Mohali's IT Park and want to move into more advanced AI work, this course helps you make that transition. Evening and weekend session options mean you can build deep learning skills without pausing your current job, and the applied focus means you can start connecting concepts to your existing work almost immediately.
Students who've already completed a machine learning course — at Techcadd or elsewhere — and want to specialize in neural networks, image recognition, or natural language processing will find this course a logical progression. Deep learning opens doors to more specialized, often better-paying AI roles compared to general ML positions.
Finally, this course suits anyone based in or near Mohali who's serious about building a career specifically in AI-driven fields — not just general data roles. With 1:1 session-based training and dedicated mentorship, Techcadd ensures that even students who find neural network concepts challenging at first get the support needed to genuinely understand them, not just complete the syllabus.
Because deep learning builds directly on programming and basic ML concepts, some prior exposure to Python is genuinely helpful before starting. Students without any Python background are encouraged to first consider Techcadd's Machine Learning or Data Analytics course in Mohali as a foundation.
Eligibility
Not sure whether your background fits? A ten-minute counselling call maps your stream, marks and goal to the right session — no obligation.
Ask a counsellorThe exact stack used in the labs, the live project and — more to the point — in the jobs this course leads to.
Finishing Deep Learning puts three separate documents in your file — one for the syllabus, one for the project you built, and one for the weeks you spent on a project team.
Issued on attendance and the final assessment of the Deep Learning programme, under our ISO-certified training registration — the document employers and universities ask to see.
A separate certificate for the live project you build and defend, listing the brief, the stack and your role on the team — so the work is verifiable, not just claimed.
A dated internship letter covering the weeks you spent on a project team with real requirements and code review — accepted for university internship credit.
Official Techcadd Computer Education credential with unique QR code verification, IAF, ICV, EGAC, and MSME Govt. of India institutional recognition.
How the paper is used
Computer vision and NLP skills appear increasingly often in job postings across the Tricity IT hub, and because deep learning is a more specialized skill set than general ML, the roles it opens — and what they pay — sit a step above the generic data openings.
Deep Learning Engineer
Computer Vision Associate
NLP Associate
AI/ML Specialist
Punjab / Tricity
Fresher
₹3 – 6 LPA
2 – 3 years in
₹6 – 13 LPA
Delhi NCR
Fresher
₹3.8 – 7.5 LPA
2 – 3 years in
₹7.5 – 16 LPA
Remote / Freelance
Fresher
₹3.2 – 6.3 LPA
2 – 3 years in
₹8 – 17.5 LPA
Ranges reported by our own alumni across the last two placement years. What you are offered depends on your interview, your portfolio and the company — we prepare you for all three, we do not promise a number. Check a role in the salary estimator.
Our placement cell runs drives with hiring partners across Mohali, Chandigarh and Panchkula, and keeps calling them until you are placed.
Talk about placementsMost Deep Learning courses in the region cover a similar syllabus. What separates them is who teaches it, what you build while you are there, and what happens after the last session.
A Local Training Center With Real AI Industry Exposure
Techcadd isn't a generic online course provider — it's an established, physical training centre based in Mohali, actively connected to the AI and tech hiring landscape across Mohali, Chandigarh, Panchkula, and Zirakpur. This local grounding means trainers understand which local companies are building AI capabilities and what specific deep learning skills they're hiring for — insight that's hard to replicate through purely online platforms.
A generic online course provider with no read on the local market.
Correct Spelling, Consistent Reputation: It's "Techcadd"
Worth clarifying upfront — the correct brand name is Techcadd, not "TechCADD," "TechCAdd," or "Tech CADD." Techcadd's standing as a technology and AI training center in Mohali has been built consistently under this correct identity.
Names that shift across listings, and a reputation nobody can trace.
Real Infrastructure for Compute-Intensive Training
Deep learning training requires reliable systems capable of handling model training workloads. Techcadd's Mohali centre is equipped with modern computer labs, dependable high-speed internet, and properly configured environments for TensorFlow and Keras — removing the technical friction that can derail hands-on deep learning practice at less-equipped training centers.
Machines that cannot carry a training run, and an environment nobody configured.
1:1 Sessions for a Genuinely Difficult Subject
Techcadd deliberately caps 1:1 session format to keep mentorship personal. In a subject like deep learning — where debugging a poorly performing neural network or understanding why a model isn't converging requires real one-on-one guidance — this isn't a minor detail. It's often the difference between students who truly understand the material and those who just follow along.
A room large enough that following along becomes the only option.
Learning by Building Real Neural Networks
Techcadd's teaching approach prioritizes hands-on model building over passive theory. Students train actual neural networks on real datasets, encountering — and learning to solve — the practical challenges that come with real deep learning work, from data preprocessing to model tuning.
Pre-built notebooks run once and never questioned.
Dedicated Placement Support for Specialized AI Roles
Techcadd runs a dedicated placement cell that helps deep learning graduates position themselves for specialized AI roles, offering resume support tailored to AI/ML profiles, mock interviews, and connections with hiring partners across the Tricity IT and AI ecosystem.
Generic tech-opening lists with no AI focus.
A Progressive AI Learning Path
Techcadd doesn't teach deep learning in isolation — it sits within a structured progression from Python and Data Analytics, through Machine Learning, into Deep Learning and applied AI. This means students can build genuinely layered expertise over time, with each course reinforcing the last.
A standalone course with no route in and no route onward.
Recognized Presence in Mohali's Tech Education Community
Techcadd has built visibility through direct engagement with regional educational institutions and AI-focused workshops, reflecting active involvement in Mohali's broader tech education ecosystem — not just a training centre operating in isolation.
A centre nobody in the local ecosystem has heard from.
Compare us on the same points before you enrol anywhere — ask for the trainer’s current work, the last session’s project files and the placement record in writing.
Session alumni from this track, on what actually made the difference once they were in interviews.
4.7
414 reviews
I'd already done a machine learning course elsewhere but wanted to go deeper into neural networks. Techcadd's Deep Learning course finally made backpropagation click for me — the trainers actually explain the math instead of skipping past it.
Came in with a B.Tech CS background and wanted to specialize in computer vision. The CNN module with real image datasets was genuinely challenging in a good way. Built an image classification project I still show in interviews.
Was working as a data analyst in Chandigarh and wanted to move into AI-specific roles. This course gave me exactly the specialization I needed. TensorFlow and Keras training was hands-on, not just slides.
Solid course, especially the NLP module. Fair warning though — you do need some Python and basic ML knowledge going in, it's not a complete-beginner course. Once I brushed up, everything made much more sense.
The 1:1 session really helped when I got stuck on why my model wasn't converging. The trainer sat with me one-on-one and walked through the debugging process instead of just telling me to 'try again.'
I'd done Techcadd's Machine Learning course earlier and this felt like a natural next step. Loved that the deep learning course built directly on what I already knew instead of starting over.
Genuinely one of the more technically rigorous courses I've taken. The transfer learning module was especially useful — learned how to use pre-trained models to solve problems way faster than training from scratch.
Good depth on CNNs and RNNs. As someone from a non-CS background, the first few weeks were tough, but the trainers were patient and revisited concepts until they made sense. Would recommend to anyone serious about AI.
What I appreciated most was how practical it was — training actual neural networks on real datasets, not just watching demos. The overfitting and regularization module directly helped me fix issues in my own capstone project.
Switched from a general software role into an AI-focused position after this course. The interview prep specifically for AI/ML roles was genuinely useful — got asked about CNNs in my interview and could answer with confidence.
Best decision after completing the ML course at Techcadd. This deep learning course gave me the specialization I needed to stand out. The placement team also connected me with an AI-focused opening in Mohali's IT Park.
Still unsure? A ten-minute call with a counsellor usually settles it faster than any brochure.
Ask us directly
What the call covers
Counsellors reply within a working day. No fee is collected until you have sat through a demo session.
Techcadd's Deep Learning course in Mohali covers neural network fundamentals, CNNs, RNNs, and applied computer vision and NLP techniques using TensorFlow and Keras, with hands-on, real-world projects.
Send a quick enquiry about Deep Learning and a counsellor from the Mohali centre will get back to you — usually the same working day.
Your details are used only to contact you about this enquiry — never sold, never added to a marketing list.
3 – 9 Months · Beginner → Advanced
Python, machine learning, deep learning and NLP together — the complete AI foundation, not one narrow slice.
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Beyond the syllabus
Ready to get started?
Talk to a counsellor today. One call is usually enough to know which track fits your degree, your schedule and the job you want.
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