AI & Deep learning Researcher Technologies
AI & Deep learning Research Perspective
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Introduction to Data Science with Python
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Data Science Environment setup
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Basics of Python
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Data structures in Python
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Preprocessing Data using Pandas
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Group Manipulation & Data Reshaping
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Sklearn libraries for Data Science
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Linear and NonLinear Regression Models
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Model Diagnostics
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Classification & Clustering
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Matplotlib for Data Visualization
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Capstone Project - Industrial Usecases from Data Science
Course 2 : Neural Networks using Python
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Introduction to Neural Networks with Python
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Neural Networks Environment setup using Python
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Basics of Neural Networks
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Separating classes with dividing lines
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Neural Network Structure and Weights Initialization using Python
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Backpropagation Neural Network using python
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Activation Functions in Neural Networks using Python
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Training and Testing Neural Networks with MNIST using python
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Text Classification using Neural Networks
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Classification Accuracy using python
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Overfitting and Underfitting using python
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Capstone Project - Industrial Usecases from Data Science
Course 3 : Deep Learning with Tensorflow Curriculum
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Introduction to Deep Learning with Tensorflow
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Deep Learning Environment Setup
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Tensorflow Packages, Basics of Deep Learning
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Data structures in Tensorflow
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Reading Data using Tensors, Tensorflow Functions
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Convolutional Neural Network Architectures
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Data sets using CNN based Tensorflow
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VGGNet, GoogleNet, Resnet
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Recurrent Neural Networks
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LSTM, GRU Models, Auto Encoder
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Transfer Learning using Tensorflow
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Capstone Project - Industrial Usecases for Deep Learning with Tensorflow
Course 4 : Reinforcement Learning using Python Curriculum
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Introduction to Reinforcement Learning using Python
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Reinforcement Learning Environment setup using Python
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Basics of Reinforcement Learning using Python
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Q-Learning introduction and Q Table
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Q Algorithm, Agent and Q-Learning Analysis
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Q-Learning In Our Own Custom Environment
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Self Driving Cab using OpenAI Gym
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Training and Evaluating the bot using reward and Utility functions in python
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Model Diagnostics in Reinforcement Learning
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Reinforcement Learning Scenarios
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Data Visualization for Reinforcement Learning using Python
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Capstone Project - Industrial Usecases from Data Science
Course 5 : Concurrent Neural Networks for Vision using Tensorflow Curriculum
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Introduction to CNN & Deep Learning Environment Setup
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Tensorflow Packages
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Basics of Vision and Deep Learning
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Python OpenCV Packages for Vision
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Data structures in Tenorflow
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Reading Data using Tensors
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Tensorflow Functions
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Convolutional Neural Network Architectures
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AlexNet, GoogleNet
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ResNet, VGGNet
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Data sets using CNN based Tensorflow
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Capstone Project - Industrial Usecases for CNN for Vision using Tensorflow
Course 6 : Recurrent Neural Networks for Text using PyTorch Curriculum
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Introduction to RNN for Text using PyTorch
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Deep Learning Environment Setup
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PyTorch Packages
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Basics of NLP and Deep Learning
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Python NLTK Packages for NLP
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Data structures in PyTorch
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Reading Data using Tensors
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PyTorch Functions
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Recurrent Neural Network Architectures
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LSTM and GRU Models, Auto Encoder
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Transfer Learning using PyTorch
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Capstone Project - Industrial Usecases for RNN for Text using PyTorch
AI & Deep learning Research Project
- The environment setup for our AI & Deep learning Research Certification Training using Python will have all the necessary software that will be required to execute your practicals.
- You will do your Assignments/Case Studies using Jupyter Notebook
- This course comprises of 20 case studies that will enrich your learning experience.
- You also have 2 mini projects and 1 major project that will enhance your implementation skills.
- The progress of your programming assignments, case studies, mini projects and major project will be montiored in our cloud environment.
AI & Deep learning Research
Training Features
On line Live Sessions
36 Hours of Online Live Classes
Weekend Class : 12 sessions of 3 hours each
Weekday Class : 18 sessions of 2 hours each
Real-life Case Studies
Live project based on any of the selected use cases, involving implementation of AI & Deep learning Research
Assignments
Every class will be followed by practical assignments which aggregates to minimum 40 hours.
Lifetime Access
Lifetime access to Learning Management System (LMS) which has class presentations, quizzes, installation guide & class recordings.
24 x 7 Expert Support
Lifetime access to our 24x7 online support team who will resolve all your technical queries, through ticket based tracking system.
Certification
Towards the end of the course, you will be working on a project. Glosys Learning certifies you as a AI & Deep learning Researcher
Testimonial Reviews
Sai Venkatesh
Software Engineer, Samsung, ChennaiAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Kiran
Software Engineer, Codaglobal, ChennaiAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Vijay Vignesh
Dell, ChennaiAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Akhil Krishnan
Software Engineer, TCS, HyderabadAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
AI & Deep learning Research Program
Online Classes
Weekend Batch
9 Months | SAT & SUN (34 WEEKS) | 8 hours per week | FILLING FAST
6 Courses | 180 Modules | 272 hrs | online
Course Price : Rs. 60000 ENROLL NOW
Weekday Batch
7 Months | 10 hours per week | FILLING FAST
Option 1: MON, WED & FRI (27 Weeks) OR Option 2 : TUE, THU & SAT (27 Weeks)
6 Courses | 180 Modules | 270 hrs | online
Course Price : Rs. 60000 ENROLL NOW