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  • S4E2: Understanding AI and ML for the AWS Exam

    S4E2: Understanding AI and ML for the AWS Exam
    2026/03/01
    In this episode of "From Cover to Code", Angela and Michael dive deep into Chapters 3 and 4 of "AWS Certified AI Practitioner (AIF-C01) Study Guide" by Tom Taulli.

    What starts as a foundational discussion of AI quickly accelerates into machine learning lifecycles, generative model architectures, transformer mechanics, and the real-world implications of foundation models.

    If you’ve ever used ChatGPT, Amazon Q, or Claude and wondered, “What’s actually happening under the hood?” — this episode connects the dots between practical usage and technical foundations.

    Chapters covered in this episode:

    • Chapter 3: AI and Machine Learning
    • Chapter 4: Understanding Generative AI

    Expect deep technical breakdowns, exam-ready insights, ethical debates, and live quiz practice to sharpen your AWS AI Practitioner knowledge.

    Chapters:

    00:00 Welcome & Chapter Reality Check
    01:00 The Deep End of AI Foundations
    06:00 What AI Really Means (AWS Definition)
    10:00 Machine Learning Layers & Data Quality
    18:40 The ML Lifecycle & MLOps Framework
    26:50 Generative AI Models Explained (GANs, VAEs, Transformers, Diffusion)
    37:50 Ethics, Copyright & Hallucinations
    51:55 Quiz Practice & Exam Strategy



    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
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    1 時間 10 分
  • S4E1: The Journey to Certification AWS AI Practitioner

    S4E1: The Journey to Certification AWS AI Practitioner
    2026/02/07
    The Journey to Certification: AWS AI Practitioner

    We’re back for a brand-new season of From Cover to Code 📘💻 — and this time, we’re diving into AI on AWS.

    In this Season 4 premiere, Michael Jenkins and Angela Andrews kick off their review of the "AWS Certified AI Practitioner (AIF-C01) Study Guide" by Tom Taulli.

    This episode sets the foundation for the entire season, focusing on *why* the AWS AI Practitioner certification exists, *who* it’s designed for, and the AWS fundamentals every AI practitioner is expected to understand before touching models, prompts, or GenAI tools.

    If you’re cert-curious, career-pivoting, or trying to cut through the AI hype with real cloud knowledge, this episode lays the groundwork for your certification journey—and invites you to take it alongside us.

    In this episode, we cover:
    • Why AWS introduced the AI Practitioner certification
    • How AWS frames AI, machine learning, and generative AI at a foundational level
    • Core AWS services and cloud concepts tested on the exam
    • Exam structure, scoring, and certification tiers
    • Why scheduling your exam date makes studying *real*
    • How to use this book—and this series—as a practical study companion
    • Tools and strategies to study smarter, not harder

    Read along, join us live, and let’s go **from cover → to code → to certification**, together.

    Book & Resources

    • The book: [https://www.oreilly.com/library/view/aws-certified-ai/9798341622326/](https://www.oreilly.com/library/view/aws-certified-ai/9798341622326/)
    • AWS Free Tier [https://aws.amazon.com/free/](https://aws.amazon.com/free/)
    • Google NotebookLM (study tool mentioned [https://notebooklm.google.com/](https://notebooklm.google.com/)

    Video Chapters

    00:00 Welcome to From Cover to Code
    01:09 Season 4 Kickoff and Host Catch-Up
    05:50 Why AWS AI Practitioner Certification
    08:26 Scheduling the Exam Makes It Real
    11:52 Exam Structure, Scoring, and Weighting
    18:46 AWS Certification Levels Explained
    27:03 Cloud Computing and AWS Fundamentals
    34:27 Core AWS Services Every Practitioner Should Know
    37:36 AWS Glue, ETL, and Real-World Case Study
    42:49 Live Quiz and Exam Mindset
    59:00 What’s Next: AI, ML, and Generative AI

    Don’t forget to like, subscribe, and hit the bell so you never miss an episode of From Cover to Code.

    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
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    1 時間 8 分
  • S3E6: Next Level DevOps with Python

    S3E6: Next Level DevOps with Python
    2025/11/12
    From Cover to Code — S3E6: Next-Level DevOps with Python

    In this Season 3 finale, Angela and Michael close out "Hands-On Python for DevOps" with an in-depth conversation about Chapter 13 — "The Tools to Take Your DevOps to the Next Level". They explore advanced automation techniques, real-world monitoring strategies, and modern troubleshooting workflows that help teams scale their DevOps practices with confidence.

    The hosts dig into step functions, observability stacks, event-driven operations, and the growing role of AI tools that support high-velocity engineering teams. They also reflect on the biggest lessons from this season — from infrastructure automation to MLOps — and how the themes of the book connect to their day-to-day work as practitioners and creators.

    Beyond the chapter, Angela and Michael share updates on AfroTech, community highlights, upcoming podcast projects, and the exciting future of "From Cover to Code" as they prepare for Season 4.

    The book: https://www.oreilly.com/library/view/hands-on-python-for/9781835081167/B21320_01.xhtml
    The code: https://github.com/PacktPublishing/Hands-On-Python-for-DevOps/tree/main

    Video Chapters:

    00:00 Welcome & Opening Banter
    01:00 Wrapping Up the Book
    05:18 Chapter 13: Advanced Automation Tools
    11:29 Monitoring with Grafana & Prometheus
    14:48 Troubleshooting & Event Response Strategies
    26:14 AfroTech Recap
    32:54 Connecting with other Black Tech Creators on https://blktechplus.com/
    36:40 Expanding to Spotify
    43:00 Looking Ahead to Season 4

    Your Hosts:
    Angela Andrews – @scooterphoenix
    Michael Jenkins – @managedkaos

    Don’t forget to like, subscribe, and join the conversation! Share your takeaways from this season and let us know what books you’d love to see in Season 4.



    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
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    45 分
  • S3E5: Python for MLOps, DataOps, and Infrastructure as Code

    S3E5: Python for MLOps, DataOps, and Infrastructure as Code
    2025/10/25
    Angela Andrews and Michael Jenkins continue their journey through *Hands-On Python for DevOps* with a deep dive into Chapters 11 and 12 — exploring how Python bridges the gap between data science, operations, and infrastructure management.

    This episode connects the dots between MLOps, DataOps, and Infrastructure as Code (IaC) — showing how Python’s simplicity and versatility make it an essential tool for automating data workflows, deploying machine learning models, and defining infrastructure reproducibly.

    Expect lively discussion, insightful quotes, and practical takeaways from real-world DevOps experience.

    Book Chapters Covered

    - Chapter 11: MLOps and DataOps
    - Chapter 12: Python and Infrastructure as Code (IaC)

    Video & Podcast Chapters

    00:00 Welcome and Episode Setup
    03:00 The Future Is Now – AI and Career Differentiation
    06:30 Why Python Dominates DataOps and MLOps
    10:45 Working with Data and the Power of Pandas
    14:15 The Three V’s of Data Complexity: Velocity, Volume & Variety
    19:30 Streaming Data and Real-Time Processing with Flink and Pandas
    25:00 AI Evolution and How Tech Books Keep Up
    32:30 Understanding Infrastructure as Code (IaC)
    36:00 Salt vs Ansible vs Terraform SDK – Python in IaC Tools
    43:30 Community Shout-Outs and Next Episode Preview

    Key Takeaways

    - Python is the universal connector between DevOps, DataOps, and MLOps — powering automation, analytics, and infrastructure.
    - The Three V’s (Velocity, Volume, Variety) define modern data challenges; Python libraries like Pandas and Flink help manage them efficiently.
    - Infrastructure as Code (IaC) transforms how teams manage cloud resources — codifying provisioning, replication, and scaling for AWS, Azure, and GCP.
    - Tools like Terraform + Ansible deliver the perfect one-two punch for deployment and configuration.
    - Even as AI-assisted coding evolves, foundational knowledge still matters. Understanding the “nuts and bolts” ensures better troubleshooting and design.
    - The hosts reflect on enduring classics like "UNIX in a Nutshell" and discuss how agile digital publishing keeps technical learning relevant.

    🔗 Resource Links

    📘 The Book — "Hands-On Python for DevOps"

    💻 The Code Repository: PacktPublishing/Hands-On-Python-for-DevOps

    Conferences:


    • BITCon
    • Afrotech
    • RenderATL

    🙌 Join the Conversation

    Don’t forget to like, subscribe, and comment to share your own experiences with Python, MLOps, and IaC.

    Follow the hashtag #CoverToCode on LinkedIn and YouTube to catch upcoming discussions — next up: “The Tools to Take Your DevOps to the Next Level.”

    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
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    48 分
  • S3E4: Using Python in CI/CD Pipelines

    S3E4: Using Python in CI/CD Pipelines
    2025/10/19
    Angela and Michael are back with another deep dive into Hands-On Python for DevOps!
    In this episode, they explore Chapters 9 and 10 — Using Python for CI/CD Pipelines and Common DevOps Use Cases in Big Companies.

    They unpack how Python streamlines continuous integration and delivery, making pipelines faster, more reliable, and easier to maintain. Then, they look at how major organizations apply DevOps and automation principles at scale — from Samsung’s data platform overhaul to MLB’s pitch-clock innovation — and what we can all learn from those approaches.

    Expect 🔥 insights, practical pipeline breakdowns, and lively discussion from two DevOps practitioners who live and breathe this stuff.

    Book chapters covered in this episode
    🔹 Chapter 9: Using Python for CI/CD Pipelines
    🔹 Chapter 10: Common DevOps Use Cases in Big Companies

    Video Chapters
    00:00 Welcome & Opening Banter
    02:45 Setting the Stage – Chapters 9 & 10 Overview
    06:30 Why CI/CD Is Missing from Most Formal Education
    09:35 The Doug Philosophy – “Do More and You’ll Learn More”
    17:20 Michael’s 7-Step CI/CD Pipeline Breakdown
    23:00 Tools of the Trade – Linting, Testing, and Packaging in Python
    29:00 Deployment Rollbacks and Blue-Green Strategies
    33:00 Business Use Cases: Samsung, Intertek, and Major League Baseball
    48:10 Reflections, Lessons Learned & What’s Next (MLOps + IaC Preview)
    51:00 Angela’s Terraform Tech Talk & Closing Thoughts

    Resources
    📘 The book: https://www.oreilly.com/library/view/hands-on-python-for/9781835081167/B21320_01.xhtml
    💻 The code repository: https://github.com/PacktPublishing/Hands-On-Python-for-DevOps/tree/main
    🧪 The demo from this episode: https://docs.google.com/presentation/d/1ci087ShNepkFJLO1GvshIXO8TuMD5_E-dcKlnJu4BR8/edit?usp=sharing

    Don’t forget to like, subscribe, and hit the bell so you never miss an episode of From Cover to Code!
    Join the conversation in the comments; we want to hear how you’re using Python in your own CI/CD pipelines.


    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
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    53 分
  • S3E3_Automating_Tasks_and_Event-Driven_Architecture-Driven_Architecture

    S3E3_Automating_Tasks_and_Event-Driven_Architecture-Driven_Architecture
    2025/10/15
    In this episode of From Cover to Code, Angela and Michael continue their exploration of Hands-On Python for DevOps, diving into Chapters 7 and 8 — where Python meets automation and event-driven architecture.

    They unpack what happens when Python steps into the world of automating DevOps workflows and connecting systems that respond in real time. From automating routine server maintenance to building loosely coupled systems, this conversation highlights both the potential and the pitfalls of using Python in large-scale automation.

    Expect real stories, practical takeaways, and thoughtful reflection on the balance between innovation, governance, and simplicity in modern DevOps.

    Book Chapters Covered:

    🔹 Chapter 7 – Automating Tasks
    🔹 Chapter 8 – Understanding Event-Driven Architecture

    Video Chapters:

    00:00 Welcome and Introduction
    03:00 Automating Tasks with Python
    10:05 Real-World Example: Automating Server Reboots
    13:20 Server Maintenance and Patching with Boto
    18:48 Containers, Kubernetes, and When Not to Automate
    25:50 Google Forms, Apps Script, and AWS Lambda Automation
    31:28 Understanding Event-Driven Architecture
    38:20 Lessons from the Toyota Way and Lean Thinking
    42:46 Loosely Coupled Systems and Queue-Based Design
    44:10 Breaking Down the Monolith (Strangler Fig Pattern)
    53:00 Legacy Modernization and Digital Transformation
    54:24 Looking Ahead to CI/CD with Python

    Key Discussion Highlights:
    • Automation for Humans: Michael shares a real-world story of automating nightly server reboots — freeing up time (and sleep) through scripting.
    • Python in DevOps: The hosts discuss patching automation with Python’s boto library, tagging AWS resources effectively, and the importance of maintainable code.
    • When Not to Automate: Angela and Michael debate whether using Python to build Docker images or Kubernetes clusters is genius or overkill.
    • Event-Driven Mindset: They break down event-driven architecture through Kafka, Pub/Sub, and the principle of loosely coupled systems.
    • From Monolith to Modern: The “Strangler Fig” approach and digital transformation are unpacked as metaphors for gradual modernization.
    • Practical Wisdom: The conversation ties DevOps principles with lean manufacturing and continuous improvement — “make it work, then make it pretty.”
    Resources:

    📘 The Book: Hands-On Python for DevOps on O’Reilly
    💻 Code Repository: Packt Publishing GitHub Repo
    🧠 Episode Demo: Google Form Triggered Lambda Example

    Your Hosts:
    Angela Andrews – @scooterphoenix
    Michael Jenkins – @managedkaos

    Don’t forget to like, subscribe, and join the conversation on LinkedIn or YouTube.

    Share how you’re using Python to automate your DevOps world — and catch the next episode as Angela and Michael dive into Python for CI/CD Pipelines.

    #CoverToCode #PythonForDevOps #Automation #EventDrivenArchitecture #DevOps #CloudComputing #TechBookClub #InfrastructureAsCode #Python

    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
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    58 分
  • S3E2: Working with Cloud Resources and DevSecOps

    S3E2: Working with Cloud Resources and DevSecOps
    2025/10/05
    Angela Andrews and Michael Jenkins continue Season 3 of From Cover to Code, exploring “Hands-On Python for DevOps”:

    📘 Chapter 5: Manipulating Resources
    🔐 Chapter 6: Security and DevSecOps with Python

    They explore how Python fits into modern DevOps workflows—from data handling and multiprocessing to securing secrets and automating incident response. Michael even demos a Jupyter notebook visualization for CPU utilization analysis and shares tips for smoothing data with Python.

    Expect lively discussion, practical insights, and a few laughs as they debate when Python *isn’t* the right tool and preview what’s next: automation and event-driven architecture with AWS Lambda.

    00:00 Welcome & Warm-Up
    04:10 Chapter 5: Manipulating Resources
    10:25 Expectations vs. Reality
    14:51 Chapter 6: DevSecOps with Python
    19:47 Secrets and Environment Management
    26:08 Kubernetes & Binary Authorization
    31:49 Incident Response & Monitoring
    43:00 What’s Next: Automation & Event-Driven Architecture

    📕 The Book → Hands-On Python for DevOps
    💻 The Code → Packt GitHub Repo
    🧠 The Demo → Jupyter Notebook Visualization

    👍 Don’t forget to like, subscribe, and hit the bell so you never miss an episode\!

    💬 Join the conversation in the comments and share your experiences using Python in DevOps.

    #CoverToCode #PythonForDevOps #DevOps #CloudComputing #TechBookClub #InfrastructureAsCode #Python #Security #Automation

    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
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    47 分
  • S3E1: Getting Started with Hands on Python for DevOps

    S3E1: Getting Started with Hands on Python for DevOps
    2025/09/27
    In this FCTC episode, Angela and Michael kick off Season 3 with "Hands-On Python for DevOps". After a short summer break, they’re diving back into tech book discussions—this time exploring how Python and DevOps work hand-in-hand.

    Covering the first four chapters of the book, the hosts dig into DevOps principles, Python fundamentals, automation practices, and real-world cloud provisioning strategies.

    Expect 🔥 insights, lively conversation, and hands-on takeaways you can start using right away.

    Book chapters covered in this episode:
    🔹 Chapter 1: Introducing DevOps Principles
    🔹 Chapter 2: Talking about Python
    🔹 Chapter 3: The Simplest Ways to Start Using DevOps in Python Immediately
    🔹 Chapter 4: Provisioning Resources

    Chapters:
    00:00 Introduction
    01:00 Kicking off Season 3 of the Podcast
    06:00 Book Selection and Learning Approach
    08:00 DevOps Automation and Python’s Role
    27:00 Technical Demonstrations and Real-World Applications
    34:00 Cloud Resource Provisioning and Infrastructure Strategy
    46:00 Strategic Tooling and Language Fit

    The book: https://www.oreilly.com/library/view/hands-on-python-for/9781835081167/B21320_01.xhtml

    The code: https://github.com/PacktPublishing/Hands-On-Python-for-DevOps/tree/main


    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
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    53 分