Deep Learning with TensorFlow & PyTorch
Master neural networks, CNNs, RNNs, and Transformers using TensorFlow and PyTorch.
Priya Sharma
AI/ML Engineer

Overview
Deep dive into deep learning theory and practice — build and train neural networks for computer vision, NLP, and sequence modeling with TensorFlow and PyTorch.
Skills You'll Learn
Prerequisites
- Python
- Basic Machine Learning
- Linear algebra
Course Roadmap
Module 1
Foundations
Module 2
Computer Vision
Module 3
Sequence Models
Module 4
Transformers
Module 5
Frameworks
Module 6
Capstone
Course Curriculum
12 modules · 20 quizzes
Projects
Image Classification with CNNs
Train a CNN on a real image dataset.
Assignments
Build a Transformer from scratch
HardImplement self-attention.
Tech Stack
Meet Your Instructor

Priya Sharma
AI/ML Engineer
ML Engineer at a top fintech, passionate about GenAI.
Certificate You'll Earn

CERTIFICATE ID: LNTRN-UPSK-000000
Your Name Here
Successfully completed the Deep Learning Certificate at Lunetron Web Services. We appreciate their dedication and wish them success in their career.”
ISSUING DATE - 27TH MARCH, 2026
Certified deep learning engineer.
Student Reviews
The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.
Aarush Rai
B.Tech / AI-ML
I liked the hands-on approach of the training. Working on assignments and mini projects made the concepts easier to understand, and the AI/ML introduction was a useful addition to the course.
Divyanshu Mishra
B.Tech / AI-ML
The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.
V K Srivarshini
B.Tech / CSE
Frequently Asked Questions
Recommended; free Colab GPU access covered in course.
₹1,749
₹3,499
50% off · Save ₹1,750
Career Outcomes
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