Training | Business Artificial Intelligence
Business Artificial Intelligence Training Course
Course Duration: 4 Days
The Business Artificial Intelligence (AI) training course is designed to equip professionals with the knowledge and skills to harness the power of AI for driving innovation, efficiency, and competitive advantage in their organizations. In this course, participants will gain a comprehensive understanding of AI technologies and applications in a business context. Through hands-on exercises, case studies, and interactive discussions, participants will learn how to identify AI opportunities, design AI-driven solutions, and integrate AI into business processes to achieve strategic objectives.
Note: This course is suitable for professionals from various domains interested in leveraging AI for business transformation, including business leaders, managers, data analysts, and IT professionals. Participants should have a basic understanding of business processes and data analysis. The course can be customized to specific industry domains or organizational contexts. Participants will receive course materials, practical exercises, and a certificate of completion at the end of the training. By the end of the course, participants will be equipped with the knowledge and skills to identify AI opportunities, design AI solutions, and effectively integrate AI into business processes, enabling them to drive innovation and gain a competitive advantage in their organizations.
Course Outline
Lesson Topics
#1 Artificial Intelligence Overview
#2 Business AI Applications
#3 Implementing AI in Business
#4 AI Use Case
Topics
· AI Benefits and Challenges · Supervised Learning · Unsupervised Learning · Reinforcement Learning · Deep Learning · Generative AI
· Customer Relationship Management · Operations and Supply Chain Management · Finance and Risk Management
· Understand the Business Model · Determine the Value Proposition and ROI · Identifying suitable AI use cases · Data collection, cleaning, and preparation · Feature Engineering · AI Model Selection, Training, and Evaluation · Building a scalable AI infrastructure · Managing change and driving adoption
· Generate the Business Model Canvas · Calculate ROI · Identify Data Sources · Cleanse and Transform Data · Select Features and AI Model · Configure Hyperparameters · Initialize and Train AI Model · Validate and Evaluate · Test AI Model · Tune and Optimize · Deploy and Monitor · Iterate and Improve
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