Simon Sablowski

Make Work Predictable Without Fake Precision

Siemens

BD Rowa

European Central Bank

SumUp

HelloFresh

Agile Delivery Systems Coach

Learn how to predict delivery using actual throughput instead of relying on upfront estimates alone.

Forecast with Flow, Not Estimates

Turn past delivery data into clear, credible forecasts stakeholders can understand and act on.

Build Trustworthy Delivery Forecasts

Shift from exact dates to realistic forecast ranges that reduce pressure and improve decision-making.

Replace Precision With Useful Ranges

Master forecasting with hands-on, real-world training. No fluff—just insights that drive ROI and advance your career.


Cohort 4

Forecasting That Works in Production

H-E-B

Royal Holloway

Stanley Black & Decker

Dr Valeriy Manokhin, MBA, CQF

ML expert and 7× book author building real-world forecasting systems

Cohort 3

Cohort 5

🔥 Enrollment Open — Limited SpotsThis is a deep, zero-fluff forecasting program built for real business impact, not academic perfection.We cap attendance to keep the experience focused and high-signal (not mass-market). Pricing increases for future cohorts.Built for real-world forecasters<ul><li>Models work in notebooks but fail in production?</li><li>Tutorials ignore operational constraints?</li><li>Want to lead forecasting with clarity and credibility?</li></ul>This course focuses on what works under pressure, at scale, and when decisions carry weight. Forecasting mistakes don’t just fail—they compound and get expensive.You’ll learn to:<ul><li>Build production-grade forecasting systems</li><li>Apply modern Machine Learning where it truly helps</li><li>Quantify uncertainty and communicate risk</li><li>Align forecasts with business outcomes</li></ul>Instructor: Dr. Valeriy Manokhin, MBA, CQF — ML/forecasting expert, 7× book author, with experience building forecasting systems for large multinationals and startups.Not: a pandas crash course, blog rehash, or black-box shortcut.✅ If you’re ready to ship forecasting that earns trust and drives results—join the next Cohort.

Master proven forecasting methods and build systems that drive real results.


Design end-to-end forecasting systems that work reliably in production.

Apply the right methods

Evaluate forecasts correctly.

Fix production failure modes.

Communicate forecasts clearly.

Lead forecasting initiatives.

Comfort with high-school level math, including basic algebra, probability, and statistics. No advanced math or calculus required.

High-school level math

Basic proficiency in Python. You should be able to read and write simple code using tools like pandas, numpy, and scikit-learn.

🐍 Python

No prior forecasting or ML experience needed. All key concepts are introduced from scratch—but taught quickly and practically.

No prior forecasting knowledge needed

For Data Scientists aiming to master real-world forecasting and build robust, scalable models that deliver accurate, actionable busines

For Machine Learning Engineers focused on building reliable, scalable forecasting systems that perform in real-world.

For Researchers, students, and Professors seeking to apply advanced forecasting techniques and contribute to cutting-edge research

Move from point forecasts to decision-grade probabilistic forecasts you can trust, explain, and defend in production.

Probabilistic Forecasting Expert

Valeriy Manokhin

ML expert and 7× book author building AI forecasting systems

Cohort 1

Probabilistic forecasting is hot — because point forecasts no longer suffice.Probabilistic forecasting has shifted from a niche topic to a critical professional skill. In planning, finance, energy, supply chains, and operations, decisions are not made on a single number — they are made under uncertainty, risk, and asymmetric costs.Yet most teams are unprepared. They can generate point forecasts, but struggle to produce uncertainty that is calibrated, interpretable, and defensible. Intervals are often wrong, metrics misaligned with decisions, and “uncertainty” collapses outside notebooks. When stakeholders ask, “Can we trust this?”, there is no clear answer.This course closes that gap.You’ll learn how to build decision-grade probabilistic forecasts: quantiles, predictive distributions, proper scoring rules, calibration diagnostics, and evaluation frameworks aligned with real business outcomes. This is not about hype or exotic models. It’s about mastering methods that work in production and hold up under scrutiny.Probabilistic forecasting is hot for a simple reason: real decisions are probabilistic — forecasts must be too.

From fragile point forecasts to decision-grade probabilistic forecasting

Build calibrated probabilistic forecasts instead of fragile point predictions.

Communicate uncertainty so stakeholders trust and use your forecasts.

Produce quantiles, intervals, and predictive distributions correctly.

Evaluate with proper scoring rules aligned to real business costs.

Diagnose and fix miscalibration before it breaks production.

Lead forecasting projects with authority and defensible uncertainty.

<h3>Senior DS/ML engineers who ship forecasts and need calibrated uncertainty, proper evaluation, and production-ready probabilistic outputs.</h3>

Forecasting &amp; planning leads who own business decisions and need uncertainty they can explain, defend, and align with costs and risk.

Executives/tech leaders who rely on forecasts and want mental models to challenge assumptions and steer strategy under uncertainty.

Most PMs build the wrong thing. This is how you stop.

Led Oscar and Emmy awards products

Adobe

Roblox

Adobe Substance 3D

Nicolas LIATTI

Product leader behind Oscar and Emmy award winning products

Feature requests never stop. Most PMs either comply or overthink alone. Senior PMs reframe requests into outcomes and use AI as a sparring partner to challenge assumptions before committing teams. In this session, you’ll practice that shift on a real feature request and walk away with a reusable mental model.

You'll leave with a system you can use Monday morning — and the AI prompts to run it on any feature request, every time.

Reframe any feature request into a behavior change hypothesis in minutes

Run the diagnostic live with AI on your own feature requests

Build an Outcome Brief that replaces the feature spec, with a decision gate

Simulate exec objections with AI before walking into the room

You ship features but metrics don't move. This workshop gives you a system to connect what you build to real behavior change.

You get handed feature requests and feel pressure to execute. This gives you the framework and AI prompts to push back with evidence.

You use AI to go faster. This shows you how to use it to think better, a sparring partner that challenges assumptions before you commit.

Master the systems to stop micromanaging and transition from a referee to an orchestrator of a self-running team.

Founder at The Strength Hack

Daimler AG

Airbus

Audi

Toll Collect GmbH

Murk Creusen

Founder & Leadership Coach at Strength Hack

Founding Cohort

You cannot fix burnout by working harder. You have a matching problem.AI is making your team's hard technical skills obsolete faster than they can learn them. You cannot fix this "AI anxiety" or burnout by asking them to work harder. You don't have an effort problem; you have a matching problem.Most Engineering Managers spend 70% of their week trapped in the "Mediocrity Loop" - refereeing personality clashes, fixing broken handoffs, and watching their team's shared knowledge collapse as junior roles vanish. You're bleeding runway and morale.This 30-day accelerator gives you the system to break out. Using the Big Five (or CliftonStrengths) assessment, a proven framework, and the Strength Hack AI, you'll map your team's cognitive architecture and engineer the conditions for psychological safety - not just hope for it.In 4 weeks, you will:<ul><li>Stop Generalist Exhaustion: Identify energy leaks and delegate based on Cognitive Fit, not calendar space. </li><li>Engineer Swift Trust: Use the 6-dimension Matching Compass to translate friction into synergy.</li><li>Drive ROI: Transition from a reactive referee to a strategic orchestrator</li></ul>

Engineer Psychological Safety. Stop Refereeing Your Team.

Shortcut the "Storming" Phase to Engineer Swift Trust

Reclaim 70% of Your Week (Plug the Energy Leak)

Turn Personality Clashes into Solvable Data

Restore the "Who Knows What" Architecture Your Team Lost

Walk Away with a "Plug-and-Play" Facilitation Kit

To get ROI from this course, a real-world team (direct reports or agile squads) is recommended to apply the Matching Compass frameworks.

Team Leadership or Management Role

You must take the free Big Five test (or CliftonStrengths) before to map your personal psychological operating system.

Completion of a Baseline Assessment

The Overwhelmed Engineering Manager / Tech LeadYou lead a hybrid or remote team. You want a data-driven system, not another workshop.

The Ambitious Senior / Staff Engineer<blockquote>You're moving to people manager. You want proven frameworks to lead a team without micromanaging.</blockquote>

The People-Conscious CTO / CPO<blockquote>You own culture and delivery for 10–200 people. Your board wants AI readiness. You need L&amp;D that's credible.</blockquote>