Not Your Grandmother's AI

Overview

Explore real-world AI applications through an easy-to-follow example, demonstrating the journey from problem identification to innovative solution implementation.

Syllabus

• Introduction to AI Applications
Overview of AI in the Modern World
Comparison of Traditional and Contemporary AI Approaches
• Identifying Real-world Problems
Techniques for Problem Identification
Case Studies: Successful AI Problem-Solving
• Data Collection and Preparation
Types of Data: Structured vs. Unstructured
Data Cleaning and Preprocessing Techniques
• Selecting the Right AI Tools and Techniques
Machine Learning vs. Rule-based Systems
Overview of Popular AI Frameworks and Libraries
• Designing AI Solutions
Conceptualizing the AI Pipeline
Collaborating with Stakeholders for Requirement Gathering
• Model Development and Testing
Basics of Model Training and Evaluation
Experimentation with Model Variants
• Deployment of AI Solutions
Overview of Deployment Environments: Cloud vs. Edge
Monitoring and Maintaining Deployed Systems
• Ethical and Social Considerations
Bias and Fairness in AI
Regulatory and Compliance Issues
• Future Trends in AI
Emerging AI Technologies and Their Potential Impact
Preparing for the Evolving AI Landscape
• Course Project
Guided Project: From Problem to Solution
Presentations and Peer Review Sessions

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Subjects

Conference Talks