AWS Security Certification:  Incident Response

AWS Security Certification: Incident Response

Author: Noah Gift September 26, 2023 Duration: 16:46

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📊 Data Visualization and Python:

Data Visualization with Python: https://www.coursera.org/learn/data-visualization-python
🛠️ DevOps, MLOps, and Cloud Computing:

DevOps, DataOps, MLOps: https://www.coursera.org/learn/devops-dataops-mlops-duke
MLOps Platforms: AWS SageMaker and Azure ML: https://www.coursera.org/learn/mlops-aws-azure-duke
Building Cloud Computing Solutions at Scale Specialization: https://www.coursera.org/specializations/building-cloud-computing-solutions-at-scale
AWS Certified Solutions Architect - Professional (SAP-C01) Cert Prep: https://www.linkedin.com/learning/aws-certified-solutions-architect-professional-sap-c01-cert-prep-1-design-for-organizational-complexity/design-for-organizational-complexity?autoplay=true

🐍 Python Essentials:

Python Essentials for MLOps: https://www.coursera.org/learn/python-essentials-mlops-duke
Python, Bash, and SQL Essentials for Data Engineering Specialization: https://www.coursera.org/specializations/python-bash-sql-data-engineering-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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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
Podcast Episodes
DeepSeek Is Not A Sputnik Moment It Is Classic Open Source [not-audio_url] [/not-audio_url]

Duration: 8:51
The AI Race and Open Source Development: Episode NotesMain Discussion PointsHistorical Comparison AnalysisDiscussion of a VC's comparison between current AI developments and the 1957 Sputnik momentExamination of historic…
Will Commercial Closed Source LLM Die to SGI and Solaris Unix? [not-audio_url] [/not-audio_url]

Duration: 10:08
Podcast Episode Notes: The Fate of Closed LLMs and the Legacy of Proprietary Unix SystemsSummaryThe episode draws parallels between the decline of proprietary Unix systems (Solaris, SGI) and the potential challenges faci…
OpenAI Red Flags Common to FTX, Theranos, Enron and WeWork [not-audio_url] [/not-audio_url]

Duration: 8:49
Podcast Episode Notes: Red Flags in Tech Fraud – Historical Cases & OpenAISummaryThis episode explores common red flags in high-profile tech fraud cases (Theranos, FTX, Enron) and examines whether similar patterns could…
DeepSeek exposes Americas Monopoly and Oligarchy Problem [not-audio_url] [/not-audio_url]

Duration: 16:51
Podcast Notes & Summary: "Deep-Seek Exposes America's Monopoly Problem"Key Topics DiscussedMonopolies in Big TechStartup Ecosystem ChallengesRegulatory EntrepreneurshipHealthcare & Innovation BarriersGlobal Tech Leadersh…
dual-model-deepseek-coding-workflow [not-audio_url] [/not-audio_url]

Duration: 6:18
Dual Model Context Code Review: A New AI Development WorkflowIntroductionA novel AI-assisted development workflow called dual model context code review challenges traditional approaches like GitHub Copilot by focusing on…
Accelerating GenAI Profit to Zero [not-audio_url] [/not-audio_url]

Duration: 8:11
Accelerating AI "Profit to Zero": Lessons from Open SourceKey ThemesDrawing parallels between open source software (particularly Linux) and the potential future of AI developmentThe role of universities, nonprofits, and…
YAML Inputs to LLMs [not-audio_url] [/not-audio_url]

Duration: 6:19
Natural Language vs Deterministic Interfaces for LLMsKey PointsNatural language interfaces for LLMs are powerful but can be problematic for software engineering and automationBenefits of natural language:Flexible input h…
Deep Seek and LLM Profit to Zero [not-audio_url] [/not-audio_url]

Duration: 8:01
LLM Market Analysis & Future PredictionsMarket DynamicsDeepSeek disrupting LLM space by demonstrating lack of sustainable competitive advantageLM Arena (lm.arena.ai) shows models like Gemini, DeepSeek, Claude frequently…
Context Driven Development [not-audio_url] [/not-audio_url]

Duration: 5:38
Title: Context-Driven Development with AI AssistantsKey Points:Compares context-driven development to DevOps practicesEmphasizes using AI tools for project-wide analysis vs line-by-line assistanceFocuses on feeding entir…
Thoughts on Makefiles [not-audio_url] [/not-audio_url]

Duration: 6:08
Title: The Case for Makefiles in Modern DevelopmentKey Points:Makefiles provide consistency between development and production environmentsPrimary benefit is abstracting complex commands into simple, uniform recipesParti…