The Tragedy of the AI Commons - Ethical Dilemmas of Generative Models
2Hey readers π, if you enjoyed this content, I wanted to share some of my favorite resources to continue your learning journey in technology!
Hands-On Courses for Rust, Data, Cloud, AI and LLMs π
β’ Rust Programming Specialization:Β https://insight.paiml.com/qwh
β’ Rust for DevOps:Β https://insight.paiml.com/x14
β’ Rust LLMOps:Β Β https://insight.paiml.com/g3b
β’ Rust Fundamentals: https://insight.paiml.com/qyt
β’ Data Engineering with Rust: https://insight.paiml.com/zm1
β’ Python and Rust with Linux Command Line Tools: https://insight.paiml.com/jot
β’ Virtualization, Docker, and Kubernetes for Data Engineering: https://www.coursera.org/learn/virtualization-docker-kubernetes-data-engineering
β’ Cloud Machine Learning Engineering and MLOps: https://www.coursera.org/learn/cloud-machine-learning-engineering-mlops-duke
β’ MLOps Tools: MLflow and Hugging Face: https://www.coursera.org/learn/mlops-mlflow-huggingface-duke
β’ Data Visualization with Python: https://insight.paiml.com/y9p
β’ Python, Bash and SQL Essentials for Data Engineering Specialization: https://insight.paiml.com/2or
β’ Linux and Bash for Data Engineering: https://www.coursera.org/learn/linux-and-bash-for-data-engineering-duke
β’ Spark, Hadoop, and Snowflake for Data Engineering: https://insight.paiml.com/f6j
β’ Cloud Virtualization, Containers and APIs: https://www.coursera.org/learn/cloud-virtualization-containers-api-duke
β’ Cloud Data Engineering: https://www.coursera.org/learn/cloud-data-engineering-duke
β’ MLOps | Machine Learning Operations Specialization: https://insight.paiml.com/ohq
β’ Python Essentials for MLOps: https://insight.paiml.com/uvm
β’ DevOps, DataOps, MLOps: https://www.coursera.org/learn/devops-dataops-mlops-duke
β’ Web Applications and Command-Line Tools for Data Engineering: https://www.coursera.org/learn/web-app-command-line-tools-for-data-engineering-duke
β’ MLOps Platforms: Amazon SageMaker and Azure ML: https://www.coursera.org/learn/mlops-aws-azure-duke
β’ Scripting with Python and SQL for Data Engineering: https://www.coursera.org/learn/scripting-with-python-sql-for-data-engineering-duke
β’ Python and Pandas for Data Engineering: https://www.coursera.org/learn/python-and-pandas-for-data-engineering-duke
β’ Cloud Computing Foundations: https://insight.paiml.com/zrb
β’ Building Cloud Computing Solutions at Scale Specialization: https://insight.paiml.com/hrt
π Must-Read Books:
Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/
Developing on AWS with C#: https://www.amazon.com/Developing-AWS-Comprehensive-Solutions-Platform/dp/1492095877
Pragmatic AI Labs Books: https://www.amazon.com/gp/product/B0992BN7W8
π₯ Follow & Subscribe:
Pragmatic AI Labs YouTube Channel: https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5Q
52 Weeks of AWS Podcast: https://52-weeks-of-cloud.simplecast.com
noahgift.com: https://noahgift.com/
Pragmatic AI Labs Website: https://paiml.com/
Your adventure in tech awaits! Dive in now, and elevate your skills to new heights. π
Check out all a Master's degree worth of courses on Coursera on topics ranging from Cloud Computing to Rust to LLMs and Generative AI: https://www.coursera.org/instructor/noahgift.