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1
- Introduction
2
- Project Introduction
3
- Prerequisite
4
- Introduction of the Instructor
5
- What is Text Summarization Online Demo
6
- Github Repository Setup
7
- Project Template Creation
8
- Requirements Installation & Project Setup
9
- Logging, Exception & Utils Modules
10
- Entire Project Notebook Experiment
11
- Project Workflows
12
- Data Ingestion Notebook Experiment
13
- Data Ingestion Final Implementation
14
- Data Validation Notebook Experiment
15
- Data Validation Final Implementation
16
- Data Transformation Notebook Experiment
17
- Data Transformation Final Implementation
18
- Model Trainer Notebook Experiment
19
- Model Trainer Final Implementation
20
- Model Evaluation Notebook Experiment
21
- Model Evaluation Final Implementation
22
- Prediction Pipeline & User App
23
- Project CI/CD Deployment on AWS
24
- Outro/ End of the Project
Description:
Embark on a comprehensive 3-hour 38-minute tutorial that guides you through implementing an end-to-end NLP project focused on text summarization, complete with deployment using GitHub Actions. Learn the intricacies of condensing longer texts into concise versions while preserving key information. Follow along as the instructor covers project setup, data ingestion, validation, and transformation, as well as model training, evaluation, and deployment. Gain hands-on experience with creating a prediction pipeline, developing a user app, and implementing CI/CD deployment on AWS. By the end of this in-depth guide, you'll have a thorough understanding of the entire process, from initial setup to final deployment, equipping you with valuable skills in NLP project implementation.

End to End NLP Project Implementation With Deployment Github Action - Text Summarization - Krish Naik

Krish Naik
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