52 Weeks of Cloud

source: By Milky - Museum of the French Revolution, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=78860432

The French Revolution is perhaps the most crucial event in the history of the world. A population violently overthrew a monarchy and developed important concepts of both individual liberty and democracy. It also showed the violent and horrific excesses of mob rule, something the world struggles with even today. Both helpful ideas and toxic misinformation spread through pamphleteers with often deadly consequences. In the ultimate irony the most famous of pamphleteers, Jacques Hebert, who often advocated for guillotining, was a victim of it himself. [1]

Perhaps the most important contribution though was the “Declaration of the Rights of Man and of the Citizen”. The essence of the declarations was that French citizens had the right to liberty, property and national authority vs royalty authority. These replaced feudal ideas of rigid hierarchy, land for service, and peasant exploitation.

In the digital age, there is a new feudalism, and similar problems exist. A Digital Rights of Humans could be phrased as follows:

• Data and Intellectual Property belongs to the creator and cannot be exploited without opt-in consent.
• Humans have the right to privacy and a life free of surveillance capitalism.
• Humans own their own biometric data and it cannot be owned and stored by others
• Humans have the right to a life free of addictive technologies
• Humans have the right to protection from algorithmic harm (spreading conspiracy theories that hurt life and property). These include systems that create negative externalities like price fixing of rent.
• Humans have the right to a digital commons free from exploitation and destruction
• Humans have the right to real information, not propaganda
• A business model that depends on exploitation of a human’s digital rights is defective by design

1. Popkin, J., December 10, 2019, A New World Begins
2. Davidson, I., 2016, The French Revolution
3. The French Revolution, The Rest is History Podcast

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Live Stream: The Rise of Linux Desktop for Professionals

Join industry experts Noah Gift and Michael Mikowski for an insightful discussion on why 2024 is being hailed as "the year of the Linux desktop" and how professionals can successfully transition to this powerful alternative.

What We'll Cover:

• Why professionals are moving away from proprietary operating systems

• The surprising advantages of Linux desktop for productivity and privacy

• Debunking common myths about Linux desktop

• How to choose the right Linux setup for your needs

• Practical tips for migrating from Windows or macOS

• The importance of specialized Linux desktop providers

Your Hosts:

Noah Gift: Adjunct Professor at Duke & UC Davis, founder of Pragmatic AI Labs

Michael Mikowski: Product designer, entrepreneur, Linux desktop expert

Whether you're an IT pro, developer, or privacy-conscious individual, discover how Linux desktop can offer a stable, powerful, and privacy-respecting alternative to mainstream operating systems.

🔴 Join us live for an interactive Q&A session!

#LinuxDesktop #TechTalk #OpenSource

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edX

✨I build courses: https://insight.paiml.com/d69

• 📚edX Professional Certificate in Rust Programming: https://insight.paiml.com/tkg
  • 📚edX Rust Data Engineering:  https://insight.paiml.com/fhd

• 📚edX Professional Certificate in Large Language Model Operations (LLMOps): https://insight.paiml.com/j8t

• 📚edX Professional Certificate Machine Learning Operations (MLOps): insight.paiml.com/ear
  • 📚edX Professional Certificate Python Fundamentals for MLOps: https://insight.paiml.com/h5h
  • 📚edX Professional Certificate DevOps, DataOps, MLOps:  https://insight.paiml.com/mgk
  •  📚edX Professional Certificate MLOps Tools: MLflow and Hugging Face: https://insight.paiml.com/rqv
  •  📚edX Professional Certificate MLOps Platforms: Amazon SageMaker and Azure ML : https://insight.paiml.com/9mg

Coursera

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

• 📚LLMOps Specialization: https://insight.paiml.com/a8e
• 📚Introduction to Generative AI: https://insight.paiml.com/ee2
• 📚Operationalizing LLMs on Azure: https://insight.paiml.com/e2u
• 📚Databricks to Local LLMs: https://insight.paiml.com/i6k
• 📚Advanced Data Engineering: https://insight.paiml.com/uvi
• 📚GenAI and LLMs on AWS: https://insight.paiml.com/3x7
• 📚Open Source LLMOps Solutions: https://insight.paiml.com/x0g

• 📚Foundations of Local Large Language models:  https://insight.paiml.com/rvy
• 📚Beginning Llamafile for Local Large Language Models (LLMs): https://insight.paiml.com/5ec
• 📚End to End LLMs with Azure:  https://coursera.org/learn/azure-llm-large-language-models

• 📚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

• 📚Building Cloud Computing Solutions at Scale Specialization: https://insight.paiml.com/hrt
• 📚Cloud Computing Foundations: https://insight.paiml.com/zrb
• 📚Cloud Data Engineering: https://insight.paiml.com/75t
• 📚Cloud Machine Learning Engineering and MLOps: https://insight.paiml.com/jjh
• 📚Cloud Virtualization, Containers and APIs:  https://insight.paiml.com/ce5

📝 Guided Projects:

• 📝Object-Oriented Programming in Python:https://insight.paiml.com/n4h
• 📝MySQL-for-Data-Engineering:  https://insight.paiml.com/e1k
• 📝Python Generators:  https://insight.paiml.com/i9l
• 📝Build a Static Website with Rust and Zola: https://insight.paiml.com/a2h
• 📝Building Rust AWS Lambda Microservices with Cargo Lambda: https://insight.paiml.com/8ed
• 📝Rust Secret Cipher CLI: https://insight.paiml.com/zzr
• 📝Python Decorators:  https://insight.paiml.com/1n5
• 📝Bash Command-line tools: insight.paiml.com/zo3
• 📝Big O Notation in Python:  https://insight.paiml.com/bnv 
• 📝 Rust Axum Microservice: https://insight.paiml.com/n9j
• 📝Local LLMs with Llamafile: https://insight.paiml.com/rw1

📚 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. 🚀

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

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00:00:01 - Introduction to the concept of "pets vs. cattle" in the DevOps space

00:00:33 - Similarities between smartphones, monolithic servers, and synchronous messaging

00:01:02 - The problem with 24/7 availability and bi-directional feedback loops

00:01:50 - The addictive nature of smartphones and their impact on well-being

00:02:51 - The evolution of software engineering practices and the rise of serverless architecture and event-based messaging

00:04:37 - The benefits of a "cattle-based" approach to smartphone use

00:04:44 - Examples of batch-based operations and single-purpose devices

00:06:33 - Personal anecdotes demonstrating the liberation of breaking free from the smartphone trap

00:07:21 - Challenging listeners to question the smartphone anti-pattern and explore alternative ways of staying connected

00:07:55 - Encouraging a more mindful, balanced approach to technology in our lives

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

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00:00 - Introduction: The cuckoo egg dilemma in technology 01:00 - Explanation of the cuckoo bird's behavior and the analogy to technology 02:00 - The creator's perspective: Taylor Swift as an example 02:45 - The consumer's perspective: Spending time and money on consuming 03:30 - The worker's perspective: Fixed salary and the balance between creation and consumption 04:30 - The idea of getting rid of "vampire" devices that steal our time 05:15 - Alternatives to smart technology: Dumb phones and single-purpose devices 06:00 - Replacing scrolling time with activities that prepare for creation (e.g., reading) 07:00 - Evaluating the importance of consumer-driven activities vs. research and creation 07:45 - The retraction in the smartphone revolution and protecting what we care about 08:30 - The cuckoo egg dilemma in the context of platforms scraping creator content 09:15 - The need to reshape our focus to avoid raising the "cuckoo's egg" 10:00 - Conclusion: Sharing raw ideas about the dilemma for creators and consumers

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

00:00 - Introduction: Why you need a repairable Linux laptop 01:05 - The problem with non-upgradable laptops and being locked into ecosystems 02:30 - Introducing the Framework laptop as a repairable and customizable alternative 04:15 - The benefits of being able to upgrade components and choose ports 05:40 - The Framework marketplace for swapping parts and selling components 07:00 - Recognizing the cyclical nature of technology and avoiding locked ecosystems 08:20 - Issues with Windows (costs, controversial features) and macOS (forced partnerships) 10:00 - The advantages of Linux's modular architecture and its progress over time 11:35 - The shift towards Linux among non-technical users due to dissatisfaction with commercial operating systems 13:00 - Considering the peak of commercial operating systems and the need for change 14:20 - The importance of continuous improvement (kaizen) in personal computing choices 15:40 - Moving away from lock-in strategies and opting for repairable and upgradable devices 16:50 - Getting started with Linux laptops and finding community support 18:00 - Host's personal experience with buying upgradable Linux laptops and offering assistance 19:00 - Conclusion and encouragement to explore Linux laptops

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

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3. 🌟 Coursera 🌟

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00:00 - Introduction: Showcasing Pragmatic AI Labs and DS500's latest offering

00:45 - Introducing the world's largest online cloud computing program

01:30 - Host's background teaching cloud computing at top universities

02:00 - Overview of the program's coverage: foundational infrastructure, serverless, agile development, cloud-native systems

02:45 - The certificate available from edX upon completion

03:15 - Course 1: Foundations of Cloud Computing

03:45 - Course 2: Virtualization, Containers, and APIs

04:15 - Course 3: Cloud Data Engineering (big data, streaming vs. batch)

04:45 - Course 4: Cloud Machine Learning Engineering and Cloud MLOps

05:15 - Course 5: Comprehensive AWS course (solutions architect, developer, machine learning, security, networking)

06:30 - Course 6: GCP basics

06:50 - Courses 7-8: Azure fundamentals

07:30 - The unique value of the program based on real-world experience and academic teaching

08:15 - Building a mastery-level portfolio with no weak spots in cloud computing

08:45 - Encouraging listeners to explore the program

09:00 - Continuous improvement (kaizen) and more programs in the pipeline

09:30 - Conclusion: Excitement about launching the biggest program to date

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

00:00 - Introduction: Launching DS500, a new program from Pragmatic AI Labs 01:30 - Democratizing access to two master's degrees worth of content 02:15 - Host's background as an adjunct professor at multiple universities 03:00 - The need for lifelong learning and universities' slow adaptation 04:10 - The freemium model of DS500: free courses on edX and community building 05:00 - Overview of current DS500 programs: LLM operations, Rust, MLOps, generative AI 06:45 - Upcoming programs in cloud computing and data engineering 07:30 - Partnering with experts and transparent profit-sharing model 08:20 - Introducing the founders: Noah Gift and Alfredo Deza 09:30 - Challenges in the online learning space: the medieval model of universities 11:00 - Opportunities for continuous access to material and price tiering 12:20 - UC Davis' innovative partnership with edX for alumni access 13:40 - The challenge of rapid innovation in universities vs. industry 15:00 - Pragmatic AI Labs' ability to create content at scale 16:00 - Targeting pre and post-master's degree students with an audit model 17:20 - The long-term vision of DS500 and the importance of continuous improvement 18:30 - Inviting listeners to join the DS500 journey and participate in courses 19:30 - Conclusion: the exciting launch of DS500 after eight years in the making

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

edX

✨I build courses: https://insight.paiml.com/d69

• 📚edX Professional Certificate in Rust Programming: https://insight.paiml.com/tkg
  • 📚edX Rust Data Engineering:  https://insight.paiml.com/fhd

• 📚edX Professional Certificate in Large Language Model Operations (LLMOps): https://insight.paiml.com/j8t

• 📚edX Professional Certificate Machine Learning Operations (MLOps): insight.paiml.com/ear
  • 📚edX Professional Certificate Python Fundamentals for MLOps: https://insight.paiml.com/h5h
  • 📚edX Professional Certificate DevOps, DataOps, MLOps:  https://insight.paiml.com/mgk
  •  📚edX Professional Certificate MLOps Tools: MLflow and Hugging Face: https://insight.paiml.com/rqv
  •  📚edX Professional Certificate MLOps Platforms: Amazon SageMaker and Azure ML : https://insight.paiml.com/9mg

Coursera

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

• 📚LLMOps Specialization: https://insight.paiml.com/a8e
• 📚Introduction to Generative AI: https://insight.paiml.com/ee2
• 📚Operationalizing LLMs on Azure: https://insight.paiml.com/e2u
• 📚Databricks to Local LLMs: https://insight.paiml.com/i6k
• 📚Advanced Data Engineering: https://insight.paiml.com/uvi
• 📚GenAI and LLMs on AWS: https://insight.paiml.com/3x7
• 📚Open Source LLMOps Solutions: https://insight.paiml.com/x0g

• 📚Foundations of Local Large Language models:  https://insight.paiml.com/rvy
• 📚Beginning Llamafile for Local Large Language Models (LLMs): https://insight.paiml.com/5ec
• 📚End to End LLMs with Azure:  https://coursera.org/learn/azure-llm-large-language-models

• 📚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

• 📚Building Cloud Computing Solutions at Scale Specialization: https://insight.paiml.com/hrt
• 📚Cloud Computing Foundations: https://insight.paiml.com/zrb
• 📚Cloud Data Engineering: https://insight.paiml.com/75t
• 📚Cloud Machine Learning Engineering and MLOps: https://insight.paiml.com/jjh
• 📚Cloud Virtualization, Containers and APIs:  https://insight.paiml.com/ce5

📝 Guided Projects:

• 📝Object-Oriented Programming in Python:https://insight.paiml.com/n4h
• 📝MySQL-for-Data-Engineering:  https://insight.paiml.com/e1k
• 📝Python Generators:  https://insight.paiml.com/i9l
• 📝Build a Static Website with Rust and Zola: https://insight.paiml.com/a2h
• 📝Building Rust AWS Lambda Microservices with Cargo Lambda: https://insight.paiml.com/8ed
• 📝Rust Secret Cipher CLI: https://insight.paiml.com/zzr
• 📝Python Decorators:  https://insight.paiml.com/1n5
• 📝Bash Command-line tools: insight.paiml.com/zo3
• 📝Big O Notation in Python:  https://insight.paiml.com/bnv 
• 📝 Rust Axum Microservice: https://insight.paiml.com/n9j
• 📝Local LLMs with Llamafile: https://insight.paiml.com/rw1

📚 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. 🚀

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

00:00 - Introduction: Is 2024 the year of the dumb phone?
01:23 - Host's background and relationship with media consumption 03:15 - How smartphones are like having a TV in your pocket 04:50 - The limited benefits of smartphones (touchless pay, navigation) 06:10 - Considering the trade-offs: wasting hours per day scrolling 07:45 - Participating in the dumb phone revolution 09:02 - Valuing your time as a creator vs. being a consumer 10:15 - Concerns about tech giants partnering and privacy issues 11:40 - Key factors driving the dumb phone revolution 13:20 - Viewing smartphones as a failed hypothesis 14:35 - Closing analogy: smartphones as bad prototype code that needs deleting 16:00 - Encouragement to research dumb phones and concluding thoughts

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉