🤖 Automate Data Pipelines with Step Functions-AWS Data Engineering-Part 10

🤖 Automate Data Pipelines with Step Functions-AWS Data Engineering-Part 10

Author: Noah Gift February 6, 2024 Duration: 21:00

✨I build courses: https://insight.paiml.com/bzf


 

  • 📚LLMOps Specialization: 
  • 📚Operationalizing LLMs on Azure: https://insight.paiml.com/e2u
  • 📚Databricks to Local LLMs: https://insight.paiml.com/i6k


 

  • 📚Rust Programming Specialization:  https://insight.paiml.com/qwh
  • 📚Rust for DevOps:  https://insight.paiml.com/x14
  • 📚Rust LLMOps:   https://insight.paiml.com/g3b
  • 📚Rust Fundamentals: https://insight.paiml.com/qyt
  • 📚Data Engineering with Rust: https://insight.paiml.com/zm1
  • 📚Python and Rust with Linux Command Line Tools: https://insight.paiml.com/jot


 

  • 📚Applied Python Data Engineering Specialization: https://insight.paiml.com/5r9
  • 📚Data Visualization with Python: https://insight.paiml.com/y9p
  • 📚Virtualization, Docker, and Kubernetes for Data Engineering: https://insight.paiml.com/xtp
  • 📚Spark, Hadoop, and Snowflake for Data Engineering: https://insight.paiml.com/f6j


 

  • 📚MLOps | Machine Learning Operations Specialization: https://insight.paiml.com/l5u
  • 📚Python Essentials for MLOps: https://insight.paiml.com/uvm
  • 📚DevOps, DataOps, MLOps: https://insight.paiml.com/ggi
  • 📚MLOps Tools: MLflow and Hugging Face: https://insight.paiml.com/y2v
  • 📚MLOps Platforms: Amazon SageMaker and Azure ML: https://insight.paiml.com/ymb


 

  • 📚Python, Bash and SQL Essentials for Data Engineering Specialization: https://insight.paiml.com/2or
  • 📚Linux and Bash for Data Engineering: https://insight.paiml.com/d31
  • 📚Scripting with Python and SQL for Data Engineering: https://insight.paiml.com/n3b
  • 📚Python and Pandas for Data Engineering: https://insight.paiml.com/nz7
  • 📚Web Applications and Command-Line Tools for Data Engineering: https://insight.paiml.com/o86


 

📚 Coursera Guided Projects:

  • Object-Oriented Programming in Python:https://insight.paiml.com/n4h

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Noah Gift guides you through a year-long journey with 52 Weeks of Cloud, a weekly exploration designed for anyone building, managing, or simply curious about modern cloud infrastructure. Each episode digs into a specific technical topic, moving beyond surface-level explanations to offer practical insights you can apply. You’ll hear detailed discussions on the platforms that power the industry-like AWS, Azure, and Google Cloud-and how to navigate multi-cloud strategies effectively. The conversation regularly delves into the orchestration of these systems with Kubernetes and the specialized world of machine learning operations, or MLOps, including the integration and implications of large language models. This isn't just theory; it's a focused look at the tools and methodologies shaping how software is deployed and scaled today. By committing to this podcast, you're essentially getting a structured, expert-led curriculum that breaks down complex subjects into manageable weekly segments, all aimed at building a comprehensive and practical understanding of the cloud ecosystem.
Author: Language: English Episodes: 225

52 Weeks of Cloud
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