Level: Beginner
Build Deep Neural Network Models Using PyTorch, TensorFlow & Keras
Design and train deep neural networks using PyTorch, TensorFlow, and Keras for real-world AI applications.
4.9
2.9k+ learners
Duration
11 hr 10 min
Learners
2.9k+ Enrolled Students
Session Recording
Lifetime Access
Post Session
Mentor support
Session Schedule
11
Apr
Session 1 • Saturday • 2h 20m
8:00 pm to 10:20 pm
12
Apr
Session 2 • Sunday • 2h 15m
10:00 am to 12:15 pm
18
Apr
Session 3 • Saturday • 3h 15m
2:00 pm to 5:15 pm
19
Apr
Session 4 • Sunday • 3h 20m
8:00 pm to 11:20 pm
Get Life Time Access
₹1,199
₹1,500
Discount 20% off
Course Fee
₹1,199
Worth of
₹1,500
Discount
20% Off
Includes
• Expert Designed Curriculum
• Doubt Clearing Session
• Forever Community Access
Outcomes Of This Sessions
What you will build during the live classes.
About the Project
Build deep learning models from scratch using industry-standard frameworks. Implement neural networks, optimize training, and handle real datasets. Gain hands-on experience with production-level tools used in AI startups and research teams.
See LiveAfter this course, you can
Build a responsive website from scratch
Publish a project to your GitHub portfolio
Master HTML, CSS, and layout systems
Showcase a live project to recruiters
Course Curriculum
Expand or explore the full learning path.
Pre-Requisites Content
Complete this section before the live session to get the most out of the course. You'll unlock this content immediately after enrolling.
Python and virtual environment setup
20 min
Installing TensorFlow, Keras, and PyTorch
25 min
GPU setup and verification
20 min
Linear algebra essentials for deep learning
25 min
Probability and optimization basics
20 min
Supervised vs unsupervised learning recap
15 min
Model evaluation metrics overview
20 min
Live Session Content
This topic will be taught live in an interactive session, allowing you to engage with the instructor and ask questions in real time. While recordings will be available, attending live offers the best learning experience.
Artificial neural network basics
35 min
Backpropagation and gradient descent
30 min
Optimization strategies
25 min
Convolutional neural networks
35 min
Image classification workflow
30 min
Regularization and augmentation
20 min
Recurrent neural networks fundamentals
30 min
Time-series forecasting models
30 min
Speech and sequence processing
25 min
TensorFlow and Keras model building
30 min
PyTorch training workflows
30 min
Evaluation, tuning and deployment basics
25 min
Post Session Study Material
This section will be unlocked after the session. You'll get access to exclusive bonus content, additional examples, and on-demand resources to support continuous learning and deeper understanding.
Image classification model walkthrough
40 min
Time-series forecasting project
35 min
Speech recognition architecture review
30 min
Scaling deep learning systems
25 min
Train and optimize a custom deep learning model
60 min
Document architecture and performance metrics
30 min
Requirements
What you should have before starting the course.
Laptop with minimum 8GB RAM (GPU recommended)
Intermediate Python programming knowledge
Basic understanding of machine learning
Stable internet connection
Willingness to experiment with model training and debugging
Tools you are going to use
PyTorch
TensorFlow
Keras
NumPy
.webp)
Google Colab
Learn From Expert Instructor
Meet the mentors leading the live sessions.
Aarav Sharma
Senior Frontend Engineer, StudioLabs
Aarav has mentored 1200+ learners and specializes in production UI systems and scalable frontend architecture.
LinkedIn
Ananya Mehta
Design Technologist, CraftLabs
Ananya blends design and code to help learners ship portfolio-ready projects.
LinkedIn
Kabir Sayed
Frontend Mentor, PixelWorks
Kabir focuses on clean code, accessibility, and practical frontend delivery.
LinkedInYou should join this course if you
Students & Fresh Graduates
Build a strong portfolio
Learn from live mentors
Get feedback on your work
Working Professionals
Upgrade frontend skills
Ship real projects
Join a peer community
Career Switchers
Structured learning path
Hands-on practice
Guided sessions
Freelancers & Creators
Build client-ready sites
Improve delivery speed
Learn modern workflows
What you will get after completing this course
Receive an official course completion certificate
Earn skill-focused feedback from mentors
Showcase your project in the Shattak community
Access lifetime notes and references
Stay connected with instructors for guidance
Completion bonus
Certificate access, community showcase, and lifetime mentor guidance.
Hear From Learners Who've Taken This Course
Honest feedback from learners who completed the live sessions.
4.8
24
Clear structure, solid examples, and a fast pace that keeps you engaged.
Riya Jain
B.Tech, NIT Trichy
4.6
18
Practical sessions with feedback that helped improve my portfolio.
Kabir Singh
Frontend Intern, PixelWorks
4.9
12
Loved the structure and the live walkthroughs.
M
Meera Patel
Design Graduate
Join Our Community, Ask Questions
Frequently Asked Questions
Students, working professionals, and career switchers who want to build job-ready web projects.
Basic familiarity with HTML or CSS is helpful, but the course includes beginner-friendly guidance.
Yes, recordings are shared after each live session.
Mentors provide live feedback and follow-up notes during the sessions.
Yes, you can ask questions in the community group and during live office hours.
Starting From
11 Apr - 8:00 pm
Live Session
11Hr 10Min
Get Life Time Access
INR 1,199
INR 1,500
20% off
Get Life Time Access
INR 1,199
INR 1,500
20% off