Getting Started with Artificial Intelligence

Introduction

• Importance of AI in Modern Times
• Setting Expectations
• What We Are Building: A Description of the Personalized Learning Assistant Project

Part 1: Building Your AI Playground

Chapter 1: Setting Up Your AI Environment

• Introduction to AI Development Tools
• Choosing the Right Hardware
• Introduction to Programming Languages for AI
• Overview of Popular AI Frameworks and Libraries
• Installing and Configuring Your AI Environment

Chapter 2: Essential Programming Skills for AI

• Python Basics for AI
• Key Libraries and Their Usage
• Writing and Running Your First Program
• Debugging and Troubleshooting

Part 2: Data Management for AI

Chapter 3: Understanding Data in AI

• Importance of Data Quality
• Types of Data
• Data Sources

Chapter 4: Preparing Your Data

• Data Cleaning Techniques
• Data Preprocessing
• Feature Engineering
• Data Augmentation

Chapter 5: Data Storage and Management

• Introduction to Databases
• Data Storage Solutions
• Data Management Practices

Part 3: Your First AI Project (Personalized Learning Assistant)

Chapter 6: Getting Started with the Personalized Learning Assistant

• Project Selection
• Defining the Problem
• Data Collection and Preparation
• Building the Model

Chapter 7: Training and Evaluating Your Model

• Model Training
• Evaluation Metrics
• Model Validation

Chapter 8: Interpreting and Improving Your Model

• Analyzing Model Performance
• Hyperparameter Tuning
• Improving Model Accuracy