Intro Data Engineering Part 2: Data Drive Organizations

Hey readers 👋, if you enjoyed this content, I wanted to share some of my favorite resources to continue your learning journey in technology!

• Rust Programming Specialization:  https://www.coursera.org/specializations/rust-programming
• Rust for DevOps:  https://www.coursera.org/learn/rust-for-devops?specialization=rust-programming
• Rust LLMOps:   https://www.coursera.org/learn/rust-llmops?specialization=rust-programming
• Rust Fundamentals: https://www.coursera.org/learn/rust-fundamentals
• Data Engineering with Rust: https://www.coursera.org/programs/duke-university-on-coursera-obsio/learn/data-engineering-rust
• Python and Rust with Linux Command Line Tools: https://www.coursera.org/learn/python-rust-linux
• Virtualization, Docker, and Kubernetes for Data Engineering: https://www.coursera.org/learn/virtualization-docker-kubernetes-data-engineering
• Cloud Machine Learning Engineering and MLOps: https://www.coursera.org/learn/cloud-machine-learning-engineering-mlops-duke
• MLOps Tools: MLflow and Hugging Face: https://www.coursera.org/learn/mlops-mlflow-huggingface-duke
• Data Visualization with Python: https://www.coursera.org/learn/data-visualization-python
• Linux and Bash for Data Engineering: https://www.coursera.org/learn/linux-and-bash-for-data-engineering-duke
• Spark, Hadoop, and Snowflake for Data Engineering: https://www.coursera.org/learn/spark-hadoop-snowflake-data-engineering
• Cloud Virtualization, Containers and APIs: https://www.coursera.org/learn/cloud-virtualization-containers-api-duke
• Cloud Data Engineering: https://www.coursera.org/learn/cloud-data-engineering-duke
• Python Essentials for MLOps: https://www.coursera.org/learn/python-mlops-duke
• DevOps, DataOps, MLOps: https://www.coursera.org/learn/devops-dataops-mlops-duke
• Web Applications and Command-Line Tools for Data Engineering: https://www.coursera.org/learn/web-app-command-line-tools-for-data-engineering-duke
• MLOps Platforms: Amazon SageMaker and Azure ML: https://www.coursera.org/learn/mlops-aws-azure-duke
• Scripting with Python and SQL for Data Engineering: https://www.coursera.org/learn/scripting-with-python-sql-for-data-engineering-duke
• Python and Pandas for Data Engineering: https://www.coursera.org/learn/python-and-pandas-for-data-engineering-duke
• Cloud Computing Foundations: https://www.coursera.org/learn/cloud-computing-foundations-duke

📚 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

🎥 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/

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