Course Overview

This course provides a comprehensive foundation for AI development workflows, covering essential topics such as setting up an AI development environment, data pipeline engineering, model training and experimentation frameworks, building custom neural networks from scratch, and API-driven AI development. It also explores rapid prototyping with pretrained models, LLM integration and prompt engineering, computer vision and NLP proofs of concept, recommendation systems, deploying AI models to the cloud, and monitoring and logging AI systems. Advanced topics include fine-tuning and transfer learning, reinforcement learning, generative AI development, multi-modal AI systems, and edge AI development.