Artificial Intelligence for Business Leaders
Course Info
Code IND02-106
Duration 5 Days
Format Classroom
Course Summary
Artificial intelligence is a technology that has only appeared in recent years but has rapidly become the standard for many organisations and industries. The goal of artificial intelligence is ultimately to improve business productivity and reduce necessary resources.
To effectively implement and manage an artificial intelligence system, it is important to have an in-depth understanding of the types of artificial intelligence and machine learning systems, their typical processes, and structures. With this knowledge, it will be far easier to evaluate existing business functions and identify areas where AI could potentially improve.
The goal of AI is to increase productivity, reduce costs and reduce resources. However, an overuse of AI can pose many ethical issues. AI has been proven to effectively conduct the tasks of human employees, causing those roles to become redundant. When managing an organisation, it is crucial to find the balance of AI systems and human employees, as AI may not replace the personable relationship a business can build with their customers.
During this course, you’ll learn:
To understand the importance of implementing artificial intelligence functions into a business.
To identify ways in which artificial intelligence can benefit a business and improve productivity.
To assess the technologies involved in creating an effective artificial intelligence system.
To follow a detailed process of planning, designing, implementing, and measuring performance of an artificial intelligence system.
To analyse the social, environmental, and ethical implications of artificial intelligence.
To examine the past, present and make careful predictions about the future of artificial intelligence.
To ensure a balance between artificial intelligence and human employees.
This course is designed for anyone who wishes to develop artificial intelligence systems to improve business functions. It would be most beneficial for:
Business Owners
Senior Executives
Operations Managers
IT Managers
Chief Information Officers (CIOs)
Artificial Intelligence Engineers
Machine Learning Engineers
Business Analysts
This course uses a variety of adult learning styles to aid full understanding and comprehension. Participants will assess case studies of established artificial intelligence systems in businesses to highlight key features and processes.
Participants will partake in a variety of learning exercises including presentations, group discussions, demonstrations, and practical activities. They will be provided all the necessary tools to complete these tasks as accurately as possible. Utilising their knowledge, they will have the opportunity to design and create an artificial intelligence system in relation to their specific roles. This will ensure they develop a full and comprehensive understanding of the taught content.
Course Content & Outline
Section 1
Introduction to Artificial Intelligence
Defining what an artificial intelligence system is.
The role of artificial intelligence in businesses and organisations.
The development of artificial intelligence and how it is used today.
Assessing the benefits and limitations of artificial intelligence.
Identifying the purpose and functions of state space speech within artificial intelligence.
Section 2
Machine Learning
Defining what machine learning is.
The two types of machine learning – supervised and unsupervised.
Comparing the differences and evaluating the benefits and limitations of supervised and unsupervised learning.
Understanding the purpose of clustering, classification and regression and identifying where these would occur.
Utilising intelligent agents to gather and present information.
Characteristics of an intelligent agent – real-time problem solving, memory-based storage and analysis of error and success rates.
Section 3
Deep Learning and Neural Networks
Understanding the purpose and structure of neural networks.
How deep learning neural networks use data inputs, weights, and bias to mimic the human brain.
The integration of deep learning neural networks within typical machine learning and artificial intelligence.
What industries and organisations would be most suited to using deep learning systems.
Section 4
Ethics of Artificial Intelligence
Ethically merging artificial intelligence and manual business functions.
The standardisation of artificial intelligence contributing to unemployment.
How artificial intelligence systems’ conclusions can be biased, discriminatory and inaccurate.
Implementing AI in customer facing positions may lose the personal relationship and rapport built between businesses and consumers.
Section 5
Integrating AI into the Business
Identifying areas that may benefit from Ai integration.
Effectively planning, designing, implementing, and monitoring AI systems.
Creating and encouraging a working environment that is open to change.
Aligning AI with human processes.
Methods of monitoring AI performance.
Exploring Business Coaching Models: Unleashing the Power of Leadership Development
Uncover the power of business coaching models in driving leadership growth. Discover the GROW and STEPPA models, learn how to choose the right one, and explore essential coaching skills every leader needs.
Uncover the power of business coaching models in driving leadership growth. Discover the GROW and STEPPA models, learn how to choose the right one, and explore essential coaching skills every leader needs.
Featured Courses
Holistique Training draws distinction as one of the pioneers in the field of training and professional development solutions since 2008.
© 2024 DEVCreative. All Rights Reserved.