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 Level:
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.
Related Courses
Course Administration Details:
METHODOLOGY
The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
ACCREDITATION
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
TRAINING VENUE
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
ACCOMMODATION AND AIRPORT PICKUP
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
TAILOR-MADE
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:
- Email: [email protected]
- Phone: +254715 077 817
PAYMENT
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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