Artificial Intelligence for Executives
Elevate your strategic insight with our executive-focused Artificial Intelligence course. Dive into the transformative power of AI across industries, harness cutting-edge machine learning technologies, and lead your organization towards a data-driven future. Master the art of leveraging AI to optimize business processes, enhance customer engagement, and drive innovation.
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Corporate Pricing
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What you'll learn
- Understand the historical context and evolution of Artificial Intelligence.
- Recognize the impact of Big Data, cloud computing, and mobile technology on AI advancements.
- Identify the differences between narrow and general AI, as well as predictive versus prescriptive models.
- Prepare for the ethical implications of AI while building strategies to integrate it within your organization.
- Learn how to effectively visualize data to communicate findings and inform decision-making processes.
- Apply AI frameworks to real-world business scenarios like logistics management and customer service.
- Gain proficiency in machine learning and deep learning concepts such as clustering, NLP, optimization.
- Develop skills in model creation using regression analysis, classification algorithms, and clustering methods.
Why should you attend?
Artificial Intelligence (AI) has rapidly evolved from its nascent stages to a driving force of the modern technological landscape. This course provides executives with an insightful overview of AI's origins, its current applications, and future potential. Understanding the difference between Artificial Narrow Intelligence and General Intelligence is crucial for grasping AI capabilities. Executives will learn how predictive and prescriptive analytics shape decision-making processes. The recent surge in AI development can be attributed to advancements in Big Data, Cloud, and Mobile Computing. Machine Learning and Deep Learning form the backbone of AI functionalities such as image and speech recognition, NLP, and data pattern recognition. In business, AI's application spans across various domains including logistics, customer service, robotics, and IoT, revolutionizing traditional operations. Executives are guided through model creation using various algorithms and validation techniques essential for reliable predictions and classifications. The importance of data visualization in interpreting complex results is emphasized. Real-world case studies illustrate how AI is integrated into Manufacturing, Finance, and Healthcare sectors while highlighting ethical considerations and strategies for future-proofing businesses.
Course Syllabus
Day 1 - AI Fundamentals and Applications
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - AI Strategy and Implementation
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
FAQs
Why should you attend?
Artificial Intelligence (AI) has rapidly evolved from its nascent stages to a driving force of the modern technological landscape. This course provides executives with an insightful overview of AI's origins, its current applications, and future potential. Understanding the difference between Artificial Narrow Intelligence and General Intelligence is crucial for grasping AI capabilities. Executives will learn how predictive and prescriptive analytics shape decision-making processes. The recent surge in AI development can be attributed to advancements in Big Data, Cloud, and Mobile Computing. Machine Learning and Deep Learning form the backbone of AI functionalities such as image and speech recognition, NLP, and data pattern recognition. In business, AI's application spans across various domains including logistics, customer service, robotics, and IoT, revolutionizing traditional operations. Executives are guided through model creation using various algorithms and validation techniques essential for reliable predictions and classifications. The importance of data visualization in interpreting complex results is emphasized. Real-world case studies illustrate how AI is integrated into Manufacturing, Finance, and Healthcare sectors while highlighting ethical considerations and strategies for future-proofing businesses.
What you'll learn
- Understand the historical context and evolution of Artificial Intelligence.
- Recognize the impact of Big Data, cloud computing, and mobile technology on AI advancements.
- Identify the differences between narrow and general AI, as well as predictive versus prescriptive models.
- Prepare for the ethical implications of AI while building strategies to integrate it within your organization.
- Learn how to effectively visualize data to communicate findings and inform decision-making processes.
- Apply AI frameworks to real-world business scenarios like logistics management and customer service.
- Gain proficiency in machine learning and deep learning concepts such as clustering, NLP, optimization.
- Develop skills in model creation using regression analysis, classification algorithms, and clustering methods.
Course Syllabus
Day 1 - AI Fundamentals and Applications
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - AI Strategy and Implementation
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
FAQs
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