Artificial Intelligence (AI) in Knowledge Management Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.


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Introduction

Knowledge Management aims to capture, organize and leverage the collective wisdom and information assets within an organization to drive innovation, improve decision-making and enhance competitiveness. This makes effective knowledge management a strategic weapon for any organizations

Artificial Intelligence (AI) has emerged as an effective tool for knowledge management. AI technologies such as Natural Language Processing (NLP), machine learning and data analytics are powerful tools for extracting insights from vast data repositories, automating knowledge organization and improving knowledge discovery. This course will equip you with the knowledge and skills needed to harness the potential of AI in knowledge management.

Duration

10 Days

Who Should Attend:

  • Knowledge Managers: Those responsible for organizing knowledge within organizations.
  • IT Professionals: Including software developers, data scientists, and AI engineers interested in knowledge management.
  • Data Analysts and Scientists
  • Business Analysts
  • Digital Librarians and Archivists: Professionals managing digital information and records.
  • Content Managers and Writers
  • Researchers and Academics
  • Executives and Decision-Makers: Senior leaders looking to improve organizational knowledge management strategies.

Course Level:

Course Objectives

  • Understand why is important to Employ AI in Knowledge Management.
  • Teach information retrieval and search algorithms to improve knowledge discovery.
  • Apply AI-driven information retrieval and search algorithms for efficient knowledge discovery.
  • Gain insights into how can enhance knowledge exchange within organizations.
  • Train you on how to harness AI for Knowledge Capture and Generation.
  • How to enhance Knowledge Retrieval and Search.
  • How to employ AI-powered collaborative tools and platforms to foster knowledge sharing within organizations

Course Outline

Module 1: Introduction to AI and Knowledge Management

  • Understanding the basics of AI and Knowledge Management
  • How is AI used in Knowledge Management
  • The benefit of Coaction of AI in Knowledge Management

Module 2: Knowledge Creation with AI

  • Intelligent agent in knowledge management.
  • Natural Language Processing (NLP) for content generation

Module 3: Knowledge Organization and Classification

  • AI-driven information retrieval
  • AI Automated tagging and categorization
  • Semantic analysis and knowledge graphs

Module 4: Knowledge Discovery and Recommendation

  • Recommender systems and personalized knowledge recommendations
  • Clustering and topic modeling
  • AI for insights from unstructured data, Text mining
  • Case Study: E-commerce like Jumia

Module 5: Knowledge Capture and Collaboration

  • Chatbots and virtual assistants for capturing knowledge
  • Collaborative AI tools and platforms
  • Social network analysis for knowledge sharing
  • Case Study: Safaricom Zuri

Module 6: Knowledge Storage and Retrieval

  • AI-powered search engines
  • Knowledge base architecture and optimization
  • Federated search and cross-platform knowledge retrieval

Module 7: AI for Knowledge Maintenance

  • Content updating and validation
  • Knowledge base evolution with AI
  • Predictive analytics and the future of knowledge management

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Course Administration Details:

METHODOLOGY

The instructor-led training is delivered using a blended learning approach and comprises 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.

ACCREDITATION

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).

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 for 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].  

Mob: +254 715 077 817

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 Tel: +254 715 077 817.

Mobile: +254 792516000+254 792516010 or mail [email protected]

PAYMENT

Payment should be transferred to IRES account through bank before the course start date

Send proof of payment to [email protected]


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