Module 1: Introduction to Google Colab for AI

• Overview of Google Colab’s features and benefits.
• Setting up and navigating the platform.
• Understanding its role in AI development.

Module 2: Python Essentials for Google Colab

• Refreshing Python programming basics.
• Essential libraries for AI (NumPy, pandas, Matplotlib, etc.).
• Writing and executing Python scripts in Google Colab.

Module 3: Data Management in Google Colab

• Importing and handling datasets.
• Data pre-processing and visualization techniques.
• Leveraging Google Drive and other storage options.

Module 4: Machine Learning in Google Colab

• Introduction to machine learning models.
• Implementing supervised and unsupervised learning.
• Evaluating model performance.

Module 5: Deep Learning with Google Colab

• Basics of neural networks.
• Utilizing Tensor Flow and Keras.
• Training and deploying deep learning models.

Module 6: Collaborative AI Project Development

• Real-time collaboration features.
• Sharing and managing notebooks.
• Team-based project workflows.

Module 7: Advanced Features and Customization

• Utilizing GPUs and TPUs for enhanced performance.
• Customizing Google Colab settings and extensions.
• Integrating third-party tools and APIs.

Module 8: Real-World AI Project Implementation

• Applying learned concepts to a capstone project.
• Addressing challenges and troubleshooting.
• Presenting and deploying AI solutions.