{"course":{"productid":35338,"modality":6,"active":true,"language":"en","title":"Artificial Intelligence Essentials","productcode":"H62C4S","vendorcode":"HP","vendorname":"HP","fullproductcode":"HP-H62C4S","courseware":{"has_ekit":false,"has_printkit":true,"language":""},"url":"https:\/\/portal.flane.ch\/course\/hewlettpackard-h62c4s","objective":"<p>After completing this course, you should be able to:\n<\/p>\n<ul>\n<li>Understand the general definition of human and artificial intelligence<\/li><li>Describe &ldquo;learning from experience&rdquo; and how it relates to machine learning (Tom Mitchell&rsquo;s explicit definition)<\/li><li>Understand that ML has made a significant contribution to the growth of artificial intelligence<\/li><li>Describe how AI is part of &ldquo;universal design&rdquo; and &ldquo;the fourth Industrial Revolution&rdquo;<\/li><li>Describe the challenges of artificial intelligence and give general examples of the limitations of AI compared to human systems, including the general ethical challenges AI raises<\/li><li>Demonstrate an understanding of the risks of artificial intelligence, identify typical funding sources for AI projects, and list opportunities for AI<\/li><li>Demonstrate an understanding that artificial intelligence (in particular, machine learning) will drive humans and machines to work together<\/li><li>List future directions and trends for humans and machines to work together<\/li><li>Provide the information and skills needed to prepare for the EXIN BCS Artificial Intelligence Essentials exam<\/li><\/ul><h5>Certifications and related exams<\/h5><ul>\n<li>This course prepares you for the EXIN BCS Artificial Intelligence Essentials exam.<\/li><\/ul>","audience":"<p>This course is ideal for anyone with an \ninterest in (or the need to implement) AI in \nan organization&mdash;especially those working in \nareas such as science, engineering, knowledge \nengineering, finance, or IT services.<\/p>","contents":"<ul>\n<li>Module 1: Artificial and Human Intelligence &bull; An Introduction and History<\/li><li>Module 2 Examples of AI &bull; Benefits, Challenges and Risks<\/li><li>Module 3 An introduction to Machine Learning&mdash;Part 1<\/li><li>Module 4 An introduction to Machine Learning&mdash;Part 2<\/li><li>Module 5: The Future of Artificial Intelligence<\/li><\/ul>","outline":"<h5>Module 1: Artificial and Human Intelligence <\/h5><ul>\n<li>An Introduction and History<\/li><\/ul>\n<h5>Module 2 Examples of AI <\/h5><ul>\n<li>Benefits, Challenges and Risks<\/li><\/ul>\n<h5>Module 3 An introduction to Machine Learning&mdash;Part 1<\/h5><ul>\n<li>AI agent and environment<\/li><li>Types of Machine Learning<\/li><\/ul>\n<h5>Module 4 An introduction to Machine Learning&mdash;Part 2<\/h5><ul>\n<li>Machine Learning is multi-disciplinary<\/li><li>Good data and algorithms<\/li><\/ul>\n<h5>Module 5: The Future of Artificial Intelligence <\/h5><ul>\n<li>Humans and Machines together<\/li><li>Ethics in AI<\/li><\/ul>","summary":"<p>Artificial intelligence (AI) is a methodology for using a non-human \nsystem to learn from experience and imitate human intelligent \nbehavior. This course prepares you to take the EXIN BCS Artificial \nIntelligence Essentials exam, which tests your knowledge and \nunderstanding of the terminology and general principles of AI. This \ncourse covers the potential benefits and different types of AI, the \nbasic process of machine learning (ML), the challenges and risks \nassociated with AI projects, and the future of AI in the workplace.<\/p>","objective_plain":"After completing this course, you should be able to:\n\n\n\n- Understand the general definition of human and artificial intelligence\n- Describe \u201clearning from experience\u201d and how it relates to machine learning (Tom Mitchell\u2019s explicit definition)\n- Understand that ML has made a significant contribution to the growth of artificial intelligence\n- Describe how AI is part of \u201cuniversal design\u201d and \u201cthe fourth Industrial Revolution\u201d\n- Describe the challenges of artificial intelligence and give general examples of the limitations of AI compared to human systems, including the general ethical challenges AI raises\n- Demonstrate an understanding of the risks of artificial intelligence, identify typical funding sources for AI projects, and list opportunities for AI\n- Demonstrate an understanding that artificial intelligence (in particular, machine learning) will drive humans and machines to work together\n- List future directions and trends for humans and machines to work together\n- Provide the information and skills needed to prepare for the EXIN BCS Artificial Intelligence Essentials exam\nCertifications and related exams\n\n\n- This course prepares you for the EXIN BCS Artificial Intelligence Essentials exam.","audience_plain":"This course is ideal for anyone with an \ninterest in (or the need to implement) AI in \nan organization\u2014especially those working in \nareas such as science, engineering, knowledge \nengineering, finance, or IT services.","contents_plain":"- Module 1: Artificial and Human Intelligence \u2022 An Introduction and History\n- Module 2 Examples of AI \u2022 Benefits, Challenges and Risks\n- Module 3 An introduction to Machine Learning\u2014Part 1\n- Module 4 An introduction to Machine Learning\u2014Part 2\n- Module 5: The Future of Artificial Intelligence","outline_plain":"Module 1: Artificial and Human Intelligence \n\n\n- An Introduction and History\n\nModule 2 Examples of AI \n\n\n- Benefits, Challenges and Risks\n\nModule 3 An introduction to Machine Learning\u2014Part 1\n\n\n- AI agent and environment\n- Types of Machine Learning\n\nModule 4 An introduction to Machine Learning\u2014Part 2\n\n\n- Machine Learning is multi-disciplinary\n- Good data and algorithms\n\nModule 5: The Future of Artificial Intelligence \n\n\n- Humans and Machines together\n- Ethics in AI","summary_plain":"Artificial intelligence (AI) is a methodology for using a non-human \nsystem to learn from experience and imitate human intelligent \nbehavior. This course prepares you to take the EXIN BCS Artificial \nIntelligence Essentials exam, which tests your knowledge and \nunderstanding of the terminology and general principles of AI. This \ncourse covers the potential benefits and different types of AI, the \nbasic process of machine learning (ML), the challenges and risks \nassociated with AI projects, and the future of AI in the workplace.","version":"1.0","duration":{"unit":"d","value":1,"formatted":"1 day"},"pricelist":{"List Price":{"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":750},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":750},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":750}}},"lastchanged":"2025-01-10T01:17:43+01:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/en\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course-schedule\/35338","source_lang":"en","source":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course\/hewlettpackard-h62c4s"}}