Erkan Djafer

DevSecOps in 60 Minutes: A Live Pipeline Build

Chas Academy

DigitalOcean

GitHub

Docker

HashiCorp

DevSecOps & Security Instructor @ Chas Academy · Builder of production pipelines

Forget vendor scare-pitches. See the real ways modern pipelines get owned- leaked secrets, dependency drift, misconfigs

What Actually Breaks Pipelines in Production

The 3-layer stack I teach in my 6-week cohort. No bloat, no lock-in.

The Minimum Viable DevSecOps Stack

Walk away with a link to the full course archive — guides, presentations, Operation Lockdown capstone materials.

A Public Archive You Can Steal From

Build the execution system that turns your daily work into visible, compounding career progress - without motivation or discipline.

Career Strategist for Software Engineers

Alex Migutsky

Career Strategist for Software Engineers, ex. Senior Engineer @ Microsoft/GitHub

Cohort 1

You do good work. You know it. But your weeks fill up with reactive tasks, your impact is invisible to the people who decide your career, and you keep meaning to "get organized" without it sticking.The problem isn't discipline. It's infrastructure.AttentionOS is the execution system I built over 9 years and 34,000 tracked items. It's what I used to ship Microsoft To Do from zero to 30 million users, and what I've taught to dozens of engineers since.In this course, you'll build four things:<ol><li>A capture system that holds every commitment in one place - so nothing lives in your head</li><li>An impact tracking practice that documents your work in terms that decision-makers care about</li><li>A learning cycle that turns real work into skill growth - no weekend side projects required</li><li>Your personal rhythm that connects all three - and runs without constant maintenance</li></ol>By the end, you'll have a system that makes your work visible, your learning deliberate, and your weeks intentional. You won't need motivation. You'll have infrastructure. Format: Async articles + live application sessions. You read the concepts on your own time. Live sessions are for building, diagnosing, and getting feedback on your real work.

The execution system that makes your work compound

Capture every commitment, task, and idea in one trusted system

Structure your week around high-impact work instead of reacting to noise

Track your impact so promotion evidence builds itself over time

Learn any skill on demand through real work, not weekend reading

Run a self-sustaining system that works without constant maintenance

<pre><code>Engineers who ship good work but can't explain their impact. Weeks feel reactive. No system, just willpower</code></pre>

<pre><code>Engineers running several projects at work or juggling side projects and live commitments</code></pre>

<pre><code>Experienced engineer rebuilding after burnout, a break, or a job change. Has the knowledge, lost the operating rhythm</code></pre>

Design a Bioinformatics Pipeline You Can Actually Use

Biomedical Informatics & Data Expert

Pfizer

Emergent

Davenportu

National University

Laura Harris, Ph.D.

Helps researchers turn messy data into clear, executable analysis and results.

May 2026 cohort

Many researchers and analysts reach the same frustrating point: you have data, but you are not sure what to do next. You may have learned individual tools or methods, but turning them into a clear, repeatable analysis pipeline feels overwhelming.This workshop focuses on that missing step. Instead of focusing on individual tools, you will learn how to translate your dataset into a concrete analysis question, map the exact steps needed to answer it, and choose methods and tools you can realistically run. By the end, you will have a structured plan for analyzing your own data, not just a collection of disconnected techniques.If you have ever felt stuck between “I have data” and “I have results,” this session will help you move forward with clarity and confidence. You will leave with a pipeline you can run, adapt, and reuse, along with a framework for making better analysis decisions in future projects.

Researchers or grad students with biological data who feel stuck turning it into a clear, executable analysis plan.

Early-career bioinformaticians or analysts who know some tools but struggle to connect them into a coherent workflow.

Scientists transitioning into computational work who want a practical framework to decide what analysis to run next.

UX & Research Strategy Advisor

Alina Bezchotnikova 

Principal UX Designer, 17 years B2B SaaS, Master’s in Statistics, PhD

Research Automation Cohort

Most product teams are stuck in one of two traps: Trap #1: Research is too slow: By the time insights reach the team, the decision has already been made. Research becomes a post-hoc justification instead of a strategic input. Trap #2: “Just use AI”: Teams replace research with LLM-generated guesses and call it “moving fast.” They get speed but lose the signal, the actual evidence of what users do, think, and need. There’s a third path.Automate the repetitive, time-consuming parts of your research pipeline as recruitment screening, transcript processing, pattern tagging, synthesis formatting, while keeping human judgment exactly where it adds irreplaceable value: interpretation, context, and strategic framing.This workshop teaches you how to build that pipeline, step by step.

It's not enough to "just add AI"

Product Managers who run (or want to run) research but don’t have a dedicated researcher on the team

Product Leaders (Directors, VPs, CPOs) building a research culture that scales without scaling headcount

Founders who need evidence-based decisions but can’t afford slow, traditional research cycles

Decide what's worth building, before you build it

CPO | Ex Amazon, Intuit, PayPal

Amazon

PayPal

Intuit

PropertyGuru

Viveck P Kumar

20 years in product. Ex-Amazon, PayPal, Intuit, PropertyGuru.

Most product teams don't fail because they can't execute. They fail because they diagnosed the problem wrong before they started.They picked a behaviour that looked like a problem. They built for acquisition and ignored retention. They launched with a value proposition that made sense to them but meant nothing to the customer on day one.The cost is not abstract. It is wasted quarters on features nobody adopts. It is a retention curve that will not move no matter what you ship. It is walking into a leadership review without a clear answer to why growth has stalled. The execution was not the problem. The value selection was.This workshop teaches the BELT+POLE framework — a diagnostic and design system for product managers who need to stress-test their bets before committing to them.Before this workshop, you evaluate product bets with experience and instinct. After it, you run a diagnostic. You know what kind of problem you are solving and exactly where the architecture is failing. That shift does not wear off.

Know whether a product bet will drive adoption before you commit roadmap, budget, or team to building it.

Leave with a diagnostic you can run on any product decision by next Monday.

This is advanced material for working practitioners. If you've just entered the industry, build foundational skills first, then return.

3+ years actively practising product

Before this course, you're the PM who builds what the roadmap says. After it, you're the PM who decides what the roadmap should say

Founders &amp; CPOs who have a working product but cannot articulate why customers stay, what the moat is, &amp; how to design for it deliberately.

PMs building in fintech, productivity, health, or professional tools who want a diagnostic they can run on any product, any time.