"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
AI Foundation Training:
Unit 1: Introduction to AI
Unit 7: AI Architecture and Support
The AI Foundations course appeals to a diverse audience including students, working professionals, entrepreneurs, and hobbyists who have some baseline technical proficiency and a common interest in learning more about artificial intelligence concepts, technologies, and applications at an introductory level.
The flexible curriculum aims to cater to varying levels of AI expertise across different backgrounds.
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
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Our AI training course for business and IT staff will introduce delegates to the possibilities offered by AI, as well as the terminology and market forces.
This is a short course to inspire and educate your business and IT community, to ensure that your organisation is well placed to take advantage of opportunities and to gain a competitive edge within the marketplace.
JBI's expert AI consultants will share real-world experiences and trends with delegates. This workshop can be brought onsite and run as a private course for your organisation, thus enabling a more open and relevant discussion to take place.
Prerequisites
FAQs - Introduction to AI Course
1. Introduction to AI
Q1: What is Artificial Intelligence (AI)?
AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans.
Q2: What is the history of AI?
AI has its roots in the mid-20th century, with early developments in symbolic AI and the first AI programs. The field has evolved significantly since then, with milestones such as the development of expert systems and neural networks.
Q3: What are the differences between AI, Machine Learning, and Deep Learning?
AI is the broader concept of machines being able to carry out tasks in a way that we would consider "smart". Machine Learning is a subset of AI that focuses on the development of algorithms that enable computers to learn from data. Deep Learning is a subset of Machine Learning that uses neural networks with many layers to model and process data.
Q4: What are some real-world applications of AI?
AI is used in various industries and applications, including virtual personal assistants, recommendation systems, healthcare diagnostics, autonomous vehicles, and natural language processing.
Q5: What are the future perspectives on AI?
The future of AI holds immense potential for advancements in various fields, including healthcare, education, transportation, and entertainment. However, ethical and societal implications must also be carefully considered.
2. Basics of Machine Learning
Q6: What is Machine Learning?
Machine Learning is a subset of AI that enables machines to learn from data without being explicitly programmed.
Q7: What are the types of Machine Learning?
The main types of Machine Learning are Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
Q8: What are some real-world applications of Machine Learning?
Machine Learning is used in applications such as spam detection, image recognition, recommendation systems, and predictive analytics.
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