Master the fundamentals of artificial intelligence. Learn about the core concepts, techniques, and applications of AI, including machine learning and deep learning.

Training on Introduction to Artificial Intelligence

Course Overview

This course provides a comprehensive introduction to the field of Artificial Intelligence (AI). It covers the fundamental concepts, techniques, and applications of AI, equipping learners with the knowledge required to understand and engage with AI systems. The course explores the history of AI, core areas like machine learning, natural language processing, and robotics, and examines ethical considerations surrounding AI technology. Through theoretical lessons and practical exercises, participants will gain a solid foundation in AI and its real-world applications.

Course Duration

5 Days

Who Should Attend

  • Beginners interested in learning about AI.
  • Students of computer science or related fields looking to understand AI fundamentals.
  • Professionals in technology, data science, or business aiming to leverage AI in their work.
  • Individuals with a non-technical background seeking to understand the impact of AI on various industries.
Course Level: Foundation

Course Objectives

By the end of this course, participants will be able to:

  • Understand the key concepts and history of Artificial Intelligence.
  • Identify the main areas and techniques of AI, including machine learning, neural networks, and natural language processing.
  • Apply basic AI techniques to solve simple problems.
  • Recognize the ethical and societal implications of AI.
  • Explore current and future trends in AI development and deployment.

Course Outline:

Module 1: Introduction to Artificial Intelligence

  • Definition and scope of AI
  • History and evolution of AI
  • Key AI concepts and terminology
  • The role of AI in modern technology and society
  • Overview of AI applications in various industries

Module 2: Machine Learning Basics

  • Introduction to machine learning
  • Types of machine learning: supervised, unsupervised, and reinforcement learning
  • Key algorithms: decision trees, regression, clustering, etc.
  • Applications of machine learning
  • Hands-on exercise: Implementing a basic machine learning model

Module 3: Neural Networks and Deep Learning

  • Understanding neural networks
  • Introduction to deep learning and its significance
  • Types of neural networks (e.g., Convolutional Neural Networks, Recurrent Neural Networks)
  • Key frameworks and tools for deep learning
  • Hands-on exercise: Building a simple neural network

Module 4: Natural Language Processing (NLP)

  • Introduction to NLP and its importance
  • Key NLP techniques: text processing, sentiment analysis, language models
  • Applications of NLP in chatbots, translation, and more
  • Hands-on exercise: Implementing a basic NLP model

Module 5: Ethics and Future of AI

  • Ethical considerations in AI development and deployment
  • AI and job displacement: challenges and opportunities
  • The role of AI in decision-making and its societal impact
  • Future trends in AI: Autonomous systems, AI in healthcare, etc.
  • Discussion: Responsible AI and the importance of ethical AI practices
Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

A certificate from Ideal Workplace Solutions is awarded upon successful completion.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to [email protected].
For further inquiries, please contact us on details below:

Email: [email protected]
Mobile: +254759708394

Register for the Course

Classroom Training Schedules


April 2025
Date Duration Venue Fee Enroll
7 Apr - 11 Apr 2025 5 days Nairobi, Kenya KES 80,000 | USD 1,000 Register
14 Apr - 18 Apr 2025 5 days Mombasa, Kenya KES 80,000 | USD 1,000 Register
21 Apr - 25 Apr 2025 5 days Nakuru, Kenya KES 80,000 | USD 1,000 Register
28 Apr - 2 May 2025 5 days Kisumu, Kenya KES 80,000 | USD 1,000 Register
7 Apr - 11 Apr 2025 5 days Kigali, Rwanda USD 1,400 Register
May 2025
Date Duration Venue Fee Enroll
5 May - 9 May 2025 5 days Nairobi, Kenya KES 80,000 | USD 1,000 Register
12 May - 16 May 2025 5 days Mombasa, Kenya KES 80,000 | USD 1,000 Register
19 May - 23 May 2025 5 days Nakuru, Kenya KES 80,000 | USD 1,000 Register
26 May - 30 May 2025 5 days Kisumu, Kenya KES 80,000 | USD 1,000 Register
5 May - 9 May 2025 5 days Kigali, Rwanda USD 1,400 Register

Online Training Schedules


April 2025
Date Duration Session Fee Enroll
14 Apr - 18 Apr 2025 5 days Full-day KES 55,000 | USD 550 Register
May 2025
Date Duration Session Fee Enroll
12 May - 16 May 2025 5 days Full-day KES 55,000 | USD 550 Register
For customized training dates or further enquiries, kindly contact us on +254759708394 or email us at [email protected].

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