Cloud Deployment: Heroku, AWS, and GCP for Python Applications
Master cloud deployment for Python applications. Learn deployment strategies for Heroku, AWS, and GCP with best practices and automation.
Advanced Topics
Configuration Management: Building Flexible and Maintainable Applications
Master configuration management in Python. Learn environment variables, config files, secrets management, and dynamic configuration patterns.
Ethical AI & Bias Detection: Building Fair and Responsible AI Systems
Learn to identify, measure, and mitigate bias in AI systems. Master fairness metrics, bias detection tools, and ethical AI practices for responsible machine learning.
File & Directory Operations (Advanced): Mastering File System Manipulation
Master advanced file and directory operations in Python. Learn path handling, file watching, atomic operations, permissions, and efficient file processing.
LLM Integration in Applications: Building AI-Powered Features
Learn how to integrate Large Language Models into production applications. Master API calls, streaming, error handling, cost optimization, and best practices.
Logging: ELK Stack and Splunk for Python Applications
Master centralized logging with ELK Stack and Splunk. Learn log aggregation, parsing, searching, and analysis for production systems.
Monitoring: Prometheus and Grafana for Python Applications
Master application monitoring with Prometheus and Grafana. Learn metrics collection, alerting, dashboards, and observability best practices.
Process Management & Subprocess (Advanced): Mastering System Process Control
Master advanced process management in Python. Learn subprocess control, process pools, inter-process communication, and system resource management.
Reproducible Research Practices: Building Trustworthy Scientific Code
Master reproducible research in Python. Learn version control, environment management, documentation, and best practices for scientific computing.
Vector Databases & Embeddings: Storing and Querying High-Dimensional Data
Master vector databases and embeddings for semantic search, similarity matching, and AI applications. Learn Pinecone, Weaviate, Milvus, and embedding techniques.