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The Artificial Intelligence for End Users course is designed to equip learners with a comprehensive understanding of AI and its practical implications in business. This AI course begins with Module 1: AI Fundamentals, where participants will define AI concepts and acknowledge the history of AI, laying a foundation for understanding its evolution and current capabilities. Moving into Module 2: AI in Business, learners will explore how to leverage AI to improve user experience, segment audiences, secure assets, and optimize processes. This practical application in business settings is further developed in Module 3: AI Business Requirements by teaching how to develop an AI strategy and identify data and design requirements essential for successful AI integration. Module 4: Risk with AI delves into organizational considerations, data risks, and governance issues, ensuring learners are well-versed in the potential challenges associated with AI deployment. This AI training prepares end-users to effectively apply AI solutions, mitigating risks while driving business value.
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4-Hour Sessions
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To ensure that participants are adequately prepared and can fully benefit from the Artificial Intelligence for End Users course, the following minimum prerequisites are recommended:
These prerequisites are designed to establish a foundational knowledge base from which learners can build upon as they delve into the course content. It is important to note that no advanced technical skills or prior experience with AI technologies are required to undertake this training.
Koenig Solutions' AI for End Users course equips professionals with AI fundamentals, business integration, strategy development, and risk management skills.
The Artificial Intelligence for End Users course introduces participants to the core concepts of AI, its historical evolution, business applications, strategic planning, and risk management to leverage AI effectively and responsibly in a corporate setting.