Artificial Intelligence Foundation
ტრენინგის კოდი
HQ7H8S
ხანგძლიობა
3 დღე, 24 საათი
კურსის აღწერა
მიზანი
მოთხოვნა
კურსის პროგრამა
კურსის აღწერა
Overview
This course equips candidates with knowledge of key AI techniques, their use in the real world and their impact on our lives. It covers the historical journey of AI, the advantages and challenges of ethical and sustainable AI, the key enablers of AI including data, and the future interplay between AI and human roles in the workplace. This course prepares you for the EXIN BCS Artificial Intelligence Foundation certification exam.
მიზანი
Objectives
After completing this course, you will understand The meaning of AI including
Certifications and related exams
This course prepares you to take the EXIN BCS Artificial Intelligence Foundation certification exam, which tests a candidate’s knowledge and understanding of the terminology and general principles of AI. This foundation certificate includes and expands on the knowledge covered in the EXIN BCS Essentials Certificate in Artificial Intelligence.
მოთხოვნა
Prerequisites
Before attending this course, you should have knowledge of AI terminology
Audience
This course is ideal for individuals with an interest in exploring the functions and abilities of AI, and how these can be used in an organization.
კურსის პროგრამა
Course outline
Module 1: Introduction to AI and Historical Development
- Identify the key definitions of key artificial intelligence terms
- Describe key milestones in the development of artificial intelligence
- Describe different types of AI
- Explain the impact of AI on society
- Describe sustainability measures to help reduce the environmental impact of AI
Module 2: Ethical and Legal Considerations
- Describe ethical concerns, including bias and privacy in AI
- Describe the importance of guiding principles in ethical AI development
- Explain strategies for addressing ethical challenges in AI projects
- Explain the role of regulation in AI
Module 3: Enablers of AI
- List common examples of AI
- Describe the role of robotics in AI
- Describe machine learning
- Identify common machine learning concepts
- Describe supervised and unsupervised learning
Module 4: Finding and Using Data in AI
- Describe key data terms
- Describe the characteristics of data quality and why it is important in AI
- Explain the risks associated with handling data in AI and how to minimise them
- Describe the purpose and use of big data
- Explain data visualisation techniques and tools
- Describe key generative AI terms
- Describe the purpose and use of generative AI including large language models
- Describe how data is used to train AI in the machine learning process
Module 5: Using AI in Your Organization
- Identify opportunities for AI in an organization
- List the contents and structure of a business case
- Identify and categorize stakeholders relevant to an AI project
- Describe project management approaches
- Identify the risks, costs, and benefits associated with a proposed solution
- Describe the ongoing governance activities required when implementing AI.
Module 6: Future Planning and Impact – Human Plus Machine
- Describe the roles and career opportunities presented by AI
- Identify AI uses in the real world
- Explain AI’s impact on society and the future of AI
- Describe consciousness and its impact on ethical AI
ტრენინგზე რეგისტრაცია
Artificial Intelligence Foundation
ტრენინგის კოდი:
HQ7H8S
ხანგძლიობა:
3 დღე, 24 საათი
