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AI and Problem-Solving – Storyline SCORM Files
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Balancing the use of data with human problem-solving requires a nuanced approach that recognizes the strengths and limitations of both. By integrating data with human judgment, fostering cross-functional collaboration, and building a data-literate culture, organizations can solve problems in a more informed, ethical, and sustainable way.
This course introduces Artificial Intelligence (AI) and its role in solving real-world problems. Participants will explore key AI and problem-solving concepts, tools, and technologies such as machine learning, data-driven decision-making, and popular AI platforms. The course covers practical aspects such as building and integrating AI models, ethical considerations such as bias and privacy, and the future impact of AI on industries and employment.
Session One: Course Overview
Course Overview
Learning Objectives
Pre-Assignment
Pre-Course Assessment
Session Two: Introduction to AI and Problem-Solving
Overview
Key Concepts of Artificial Intelligence
Types Of AI Technologies Relevant to Problem-Solving
Identifying Problems Suitable for AI Solutions
Session Three: AI Tools and Technologies
Popular AI Platforms and Tools
AI Implementation Case Studies
Getting Started With a Simple AI Tool or Platform
Session Four: Data-Driven Problem-Solving
Techniques For Data Collection, Cleaning, And Preparation
Visualization And Interpretation of Data Outputs
AI Data Strategy Case Study Analysis
Session Five: Machine Learning Models in Problem-Solving
Overview
Machine Learning Method Discussion and Application Scenarios
Session Six: Implementing AI Solutions
Integration Of AI Into Existing Workflows and Systems
Project Management Strategies for AI in Projects
AI Integration Strategy Case Study
Session Seven: Ethical Considerations in AI Problem-Solving
Bias, Fairness and Privacy in AI Solutions
Case Study: Moneyball Strategies
Balancing Data and Human Decision-Making in An Organization
Necessary Human Intervention
Session Eight: Future of AI in Problem-Solving
Emerging AI Technologies and Their Potential Applications And Effects
Preparing for an AI-Driven Future
Session Nine: Preparing for an AI-Driven Future
Preparing for an AI-Driven Future
How Can I Ethically Engage With AI?
Personal Action Plan
Course Summary
Recommended Reading List
Post-Course Assessment
Pre- and Post-Course Assessment Answer Key
Pre-Course Assessment
Post-Course Assessment
Assignment Answer Key
Session Two: Introduction to AI and Problem-Solving
Session Three: AI Tools and Technologies
Session Four: Data-Driven Problem-Solving
Session Five: Machine Learning Models in Problem Solving
Session Six: Implementing AI Solutions
Session Seven: Ethical Considerations in AI Problem-Solving
Session Eight: Future of AI in Problem-Solving
Session Nine: Preparing for an AI-Driven Future
Unlimited Users
Train as many participants as you like - forever!
High-quality, interactive eLearning course
This course is well written, lots of interactivity and looks great.
SCORM 1.2 format.
Works with any SCORM compliant LMS. Other SCORM formats available.
One-off pricing
No renewal or licensing fees - never pay again to use this course.
Unlimited Users
Train as many participants as you like - forever!
High-quality, interactive eLearning course
This course is well written, lots of interactivity and looks great.
SCORM 1.2 format.
Works with any SCORM compliant LMS. Other SCORM formats available.
One-off pricing
No renewal or licensing fees - never pay again to use this course.
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