Master
Deep Learning Tensorflow
With Industry Experts
Deep Learning program covering Neural Networks using TensorFlow, TensorBoard, and key DL concepts with 4-day intensive classroom/LVC training, 3 months LIVE project mentoring, and unlimited cloud lab access for hands-on practice.
- 3+ Live Projects
- Skill AI Certificate
(21,693 reviews)
Choose Your Learning Path
Blended Learning
Self Learning + Live Mentoring
₹45,005
- NASSCOM® Certification
- 6-Month | 200 Learning Hours
- 32-Hour Classroom Sessions
- 10 Capstone & 1 Client Project
- Cloud Lab Access
- Internship + Job Assistance
Live Virtual
₹64,005
- NASSCOM® Certification
- 6-Month | 200 Learning Hours
- 80-Hour Live Online Training
- 10 Capstone & 1 Client Project
- 365 Days Flexi Pass + Cloud Lab
- Internship + Job Assistance
Classroom
₹72,005
- IABAC® & NASSCOM® Certification
- 6-Month | 200 Learning Hours
- 32-Hour Classroom Sessions
- 10 Capstone & 1 Client Project
- Cloud Lab Access
- Internship + Job Assistance
Tools & Technologies You'll Master
TensorFlow
PyTorch
Keras
SciPy
NLTK
NumPy
Pandas
Scikit Learn
Matplotlib
Seaborn
Why Skill AI Institute?
Expert Trainers
Ph.ds And Industry Experts
Elite faculty from prestigious
Universities with deep research
And coaching expertise
Career Guidance
Expert Counselors
Personalized counselling for career Enhancement in managerial roles
Specialized Syllabus
Specialized Syllabus For Managers
Focused on data science for decision making, Managing data science projects with essential technical overview
5 Case Studies
Practical Decision-making Cases
Techniques for scenarios with certainty, Low uncertainty and high certainty from Decision tree to monte carlo simulation
Flexible Financing Options
We’re dedicated to making our programs accessible. Pay in easy installments at 0% interest with no hidden costs.
EMI Available
Bajaj Finserv & ShopSe
Admission Closing
31st December 2026
Course Syllabus
Module 1: Introduction To Deep Learning
• What is a neural network?
• Supervised Learning with Neural Networks – Python
• How Deep Learning is different from Machine Learning
Module 2: Overview of Machine Learning Concepts
• What is Machine Learning?
• Supervised Machine Learning algorithms
• K-Nearest Neighbors (KNN) concept and application
• Naive Bayes concept and application
• Logistic Regression concept and application
• Classification Trees concept and application
• Unsupervised Machine Learning algorithms
• Clustering with K-means concept and application
• Hierarchial Clustering concept and application
Module 3: TensorFlow Essentials
• Representing tensors
• Creating operators and excuting with sessions
• Introduction Jupyter notebook for TensorFlow coding
• TensorFlow variables
• Visualizing data using TensorBoard
Module 4: ML Algorithm - Linear Regression In TensorFlow
• Regression problems
• Linear regression applications
• Regularization
• Available datasets
• Coding Linear Regression with TensorFlow – Case study
Module 5: Deep Neural Networks In TensorFlow
• Basic Neural Nets
• Single Hidden Layer Model
• Multiple Hidden Layer Model
Module 6: Convolutional Neural Networks
• Introduction to Convolutional Neural Networks
• Input Pipeline
• Introduction to RNN, LSTM, GRU
Module 7: Reinforcement Learning In Tensorflow
• Concept of Reinforcement Learning
• Simple model applying Reinforcement Learning in TensorFlow
Module 8: Hands on Deep Learning Application With TensorFlow
• Example Application – Case study
• Hands on building the Deep Learning application with TensorFlow
TESTIMONIALS
What Our Students Have To Say
Because of this, I am attracting many companies for job interviews on LinkedIn.
Truly impressed with their support and guidance.
Because of this, I am attracting many companies for job interviews on LinkedIn.
Truly impressed with their support and guidance.