AI For Developers

Introduction to AI and Machine Learning

This module covers the basics of AI, machine learning, and their applications in development.

Data Preparation for AI Models

This module teaches students how to collect, preprocess, and prepare data for AI model training.

Supervised and Unsupervised Learning

This module introduces students to supervised and unsupervised learning techniques, including regression, classification, and clustering.

Deep Learning Fundamentals

This module covers the basics of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks.

Agentic Prompting in AI Development

This module teaches students how to use Agentic prompting to improve AI model performance and deploy AI models in real-world applications.

AI Model Deployment and Maintenance

This module covers the deployment and maintenance of AI models, including model serving, monitoring, and updating.

Advanced AI Topics and Future Directions

This module introduces students to advanced AI topics, including natural language processing, computer vision, and the future of AI in development.