Create a Knowledge-Based System using Python Course


Introduction

In today's rapidly evolving world, the ability to harness knowledge and make intelligent decisions is a key aspect of artificial intelligence. Knowledge-based systems provide the framework to accomplish this, allowing computers to reason and make decisions based on expert knowledge.

In this course, we will dive deep into the world of knowledge-based systems and equip you with the skills and tools needed to create intelligent systems using the Python programming language. It will empower you with knowledge on how to develop systems that can mimic human expertise and assist in solving complex problems.

Duration

10 days

Who Should Attend:

  • Software developers 
  • Data scientists 
  • Business analysts

Prerequisites:

  • Basic understanding of Python programming
  • Familiarity with basic AI concepts 

Course Objectives

  • Understand the fundamentals of knowledge-based systems.
  • Explore expert systems and rule-based reasoning.
  • Master knowledge representation techniques.
  • Develop inference engines to make intelligent decisions.
  • Acquire knowledge from various sources.
  • Apply Natural Language Processing (NLP) for knowledge extraction.
  • Develop a chatbot

Course Outline

Module 1: Introduction to Knowledge-Based Systems

  • Understanding knowledge-based systems
  • Real-world applications
  • Components of a knowledge-based system

Module 2: Setting up Your Development Environment

  • Installing Python and necessary libraries
  • Choosing a code editor or IDE
  • Creating a project directory structure

Module 3: Data Representation

  • How to represent knowledge in your system
  • Use of data structured data to store facts and information
  • The importance of semantic knowledge representation

Module 4: Python Basics for Knowledge-Based Systems

  • Recap of Python programming basics
  • Libraries for knowledge representation (PyKE, RDFlib)
  • Setting up your Python environment

Module 5: Building a Knowledge Base

  • Storing facts and rules.
  • Querying the knowledge base.
  • Creating a knowledge base using Python.

Module 6: Inference Engines

  • Introduction to inference engines
  • Forward chaining vs. backward chaining
  • Implementing a basic inference engine in Python

Module 7: Rule-Based Systems

  • Introduction to rule-based systems.
  • Defining rules and conditions.
  • Implementing a simple rule engine in Python.

Module 8: Expert Systems

  • What are expert systems
  • Designing expert systems
  • Implementing an expert system using your knowledge base

Module 9: Application

  • Create a simple chatbot by combining knowledge representation, rule-based systems and inference engines.
  • Handling user input and providing responses

Module 10: Testing and Debugging

  • Strategies for testing your knowledge-based system.
  • Debugging common issues.
  • Performance optimization.

Enroll for this Course

We are proud to offer this course in a variety of training formats to suit your needs.

IRES

Enroll for a Face-to-Face (In-Person) Class

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IRES

Enroll for a Virtual (Zoom) Class

Join a scheduled class with a live instructor and other delegates.

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IRES

Enroll for an Online Self-Paced Class

Keep track of your own progression throughout your course and ensure continuous improvement.

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Benefits of Taking a Course at IRES

LEARN

Our courses are carefully curated to keep you abreast of latest industry trends, technological advancements, and best practices. We employ a variety of teaching methodologies, including hands-on workshops, case studies, and interactive sessions, all aimed at fostering an engaging and effective learning environment. Our expert instructors bring a wealth of knowledge and real-world experience, providing our clients with insights that can be immediately applied in their professional lives.

NETWORK

Our courses serve as a vibrant platform for professionals to connect and engage with a diverse community of peers, industry leaders, and experts. By participating in our programs, you gain access to an invaluable network that spans across various sectors and geographical boundaries. This networking aspect is not just about forming professional relationships; it's about creating a supportive ecosystem where ideas, opportunities, and collaborations can flourish.

GROW

Our courses are designed to challenge and inspire professionals to step out of their comfort zones and explore new horizons. Through a combination of theoretical knowledge and practical application, our programs help professionals refine their existing skills and acquire new ones, making them more versatile and competitive.

FAQs & Course Administration Details:

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on Phone: +254 715 077 817 or Email: [email protected].
The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Payment should be transferred to IRES account through bank on or before start of the course. Send proof of payment to [email protected].
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer. Email: [email protected] Phone: +254 715 077 817.