FA-0016Software DevelopmentData & Analytics

Foundation for Knowledge Graph Technology

Introduction

Why this course

Course Overview:

This course provides an overview of the prerequisite concepts and skills required to take the Knowledge Graph Technology for Question Answering System course. The course covers the essential concepts and techniques in programming, natural language processing, and database systems.

Learning outcomes

Upon completion of this course, participants will be able to:

Understand the basic concepts of programming and develop simple programs using Python
Understand fundamental concepts and techniques of natural language processing
Understand fundamental concepts of database systems and SQL

Prerequisites

Computer System with installation rights
Internet access
Google account
For Online training:
- Dual Screens
- Audio and Video (mandatory to keep video one)
- Zoom
Basic knowledge of computer operations and file management
Basic understanding of statistics and probability
Familiarity with basic concepts of linear algebra and calculus (recommended)

Training outline

3 modules

01Module 1: Programming Fundamentals5 topics

Introduction to programming
Data types and variables
Control structures (conditional statements, loops, and functions)
Data structures (lists, tuples, and dictionaries)
Basic file I/O

02Module 2: Natural Language Processing (NLP) Fundamentals5 topics

Introduction to NLP
Tokenization and sentence segmentation
Part-of-speech tagging
Named entity recognition
Text classification

03Module 3: Database Systems and SQL Fundamentals5 topics

Introduction to database systems
Relational database management systems
Data modeling and database design
SQL basics (SELECT, FROM, WHERE, JOIN, and GROUP BY)
SQL constraints (UNIQUE, NOT NULL, and FOREIGN KEY)

Duration:

Total of 5 days
Each begins at 9am and ends at 5pm
One hour lunch break
Two 15 minute breaks

A programme built around your team.

Share your training goals and requirements.