Learn how to package FastAPI services into Docker containers for easy distribution and deployment. Follow along installing minikube, pulling existing images from Docker Hub registry, creating deployments and exposed services in the local Kubernetes cluster, inspecting live apps in the UI dashboard, invoking via curl - essential skills for scalable microservices.
Hey readers 👋, 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 🚀
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/
Your adventure in tech awaits! Dive in now, and elevate your skills to new heights. 🚀