Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video Based | Weekends |
Course Overview
This Deep Learning with Python online course focuses on developing industry-ready individuals who can operate Deep Learning Systems for prescriptive and predictive business analytics using data mining, machine learning, and statistical modelling. In cooperation with Vitti, the Indian Institute of Information Technology-Bhagalpur provides a recognized Project Oriented Learning Program in "Deep Learning with Python" with a deeper investigation into "Neural Network models."
This Deep Learning with Python training will teach students how to use Python and Tensor-flow to gain a better knowledge and practical experience with deep learning, neural network models, and data analytics. The course provides the following benefits: Online classes that are live and interactive, sessions led by an experienced faculty member, Material and design of the program were developed in conjunction with scholars and industry experts. This Deep Learning with Python syllabus is created in partnership with academics and AI industry specialists to modernize professionals in the domain of Artificial Intelligence.
The Highlights
- 40 Hours of Learning
- 20 Instructive Sessions
- 7 Interactive Live Modules
- Project-based Learning
- 2 Industry Projects
- Course provider Vitti AI
- Offered by IIIT Bhagalpur
Programme Offerings
- Learning Management System
- Projects
- assignments
- online learning
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIIT Bhagalpur |
Deep Learning with Python Fees
Course Fee | Rs. 30,000 + GST |
Eligibility Criteria
Certification Qualifying Details
After completing the online deep learning course from IIIT Bhagalpur, including all assignments, projects, and class activities, candidates will receive the Deep Learning with Python certification.
What you will learn
After the completion of the Deep Learning with Python course, Candidates will receive an extensive understanding of Deep Learning and learn to build neural networks, and determine how to manage Machine Learning and AI enterprises successfully. Candidates will learn about RNNs, convolutional networks, LSTM, Q-Learning, Reinforcement Learning, Handwritten Digit Classification, and other topics. Learners will also study face recognition, Emotion Recognition and Speech Processing, natural language processing, and Genetic Algorithms for creating more complex and dynamic games.
Who it is for
This program is intended for understudies like computer programmers, data administrators, database architects who are interested in deep learning, machine learning and AI, and familiar with Python programming, particularly pandas and NumPy. It's an easy-to-understand program.
Admission Details
To Enrol in the Deep Learning with Python online course, follow the steps procedure given below :
Step 1. Open the Deep Learning with Python official course page by following the link below.
(https://www.vittiai.com/course/deep-learning-with-python)
Step 2. To continue, select the 'Pay Now' option.
Step 3. Complete the required fields and click the "Submit" button.
Step 4. You will receive credentials through email once you have paid the course fee.
Step 5. Log in with your credentials to begin studying.
The Syllabus
- Fundamental concepts
- Feature learning
- Deep Learning algorithms
- Object Recognition and Classification
- Open-source package for deep learning
- TensorFlow, Keras, H2O
- Autoencoders
- Network Design
- Restricted Boltzmann machines
- Hopfield network and Boltzmann machines
- Implementation in TensorFlow
- Deep belief networks
- Architecture of CNN
- Types of layers in CNN
- Building an image classifier using CNN
- Deep Learning with CNN
- Recurrent Neural Networks
- Language modeling
- Word-based models
- N-grams
- Character-based model
- LSTM network
- Speech Recognition
- Speech as input data
- Acoustic model
- Image Recognition
- Early game-playing AI
- Using min-max algorithm to value game states
- Implementing tic-tac-toe games
- Deep learning in Monte Carlo Tree Search
- A supervised learning approach to computer games
- Applying the genetic algorithm to playing games
- Q-learning
- Dynamic Games
- What is anomaly and outlier detection
- Real-world application of anomaly detection
- Anomaly detection using deep encoders
- MNIST digit anomaly recognition using H2O library
- Electrocardiogram pulse detection
Instructors
IIIT Bhagalpur Frequently Asked Questions (FAQ's)
Limited 50 students enrol in every batch of Deep Learning with Python courses.
The Deep Learning with Python online course consumes 4 hours per week.
The course provider of the Deep Learning with Python certification course is Vitti AI.
The LMS of Vitti AI provides Deep Learning with Python course recorded lectures.