Python
AI / ML
Statistics
Capstone Project
Introduction to PyTorch
Basics of Tensors and Operations
Autograd: Automatic Differentiation
PyTorch Modules and Layers
Hands-On Exercise: Implementing basic operations in PyTorch
Recap of Essential Deep Learning Concepts
Review of Neural Networks and Architectures
Explanation of Optimization Techniques (e.g., Gradient Descent,
Backpropagation)
Hands-On Exercise: Implementing a basic neural network in PyTorch
Basics of Convolutional Neural Networks (CNNs)
Image Processing with PyTorch
Hands-On Exercise: Implementing a CNN for Image Classification in Pytorch
Basics of Recurrent Neural Networks (RNNs)
Sequence Modeling with PyTorch
Hands-On Exercise: Implementing an RNN for Sequence Prediction
Introduction to Long Short-Term Memory (LSTM) and Gated Recurrent Unit
(GRU)
Excercise
VAE Architecture
Training VAEs and Generating New Samples
Hands-On Exercise: Building a VAE for Image Generation and Reconstruction
Q&A Session
Exploring the Theory Behind GANs
Generating Synthetic Data using GANs
Hands-On Exercise: Building a GAN for Image Generation
Introduction to Autoregressive Models (e.g., PixelCNN, WaveNet)
Discussion on Flow-Based Models (e.g., Glow, RealNVP)
Q&A Session
Techniques for Generating Text using Generative Models
Text Generation with Recurrent Neural Networks (RNNs) and Transformers
Hands-On Exercise: Building a Text Generation Model using RNNs or
Transformers
Course Recap and Final Q&A Session
Secured Transaction
Capstone Project
Mock Interview
Resume Building
Referrals
Training by Our dedicated trainers, with an experience of 12+years in the same field.
Every session followed by self practice assignment and recorded videos accessible using mobile app and web.
Scenario based interview question and answers.
Mock interviews after completion of training.
Practice and doubts clarifications sessions after the training.
Guaranteed placement for students that are successful in their assigned training project.
Course Certificate for successful students from Academy of Data by Rekindle Technologies.
"With over 12 years of experience in information technology, I am a Lead Data Scientist at eClerx, a global provider of
business process management and analytics solutions. My mission is to leverage my skills and expertise
in data engineering, data science, and artificial intelligence
to build advance analytics solutions for customer operations."
