SKU: 68021345145

Wild Sourdough - Autumn 2026

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Description

Wild Sourdough - Autumn 2026Wild Sourdough Learn to Craft Naturally Fermented Bread from Scratch Core Class Choose Your Format TBA Autumn 2026 11: 00am 1: 00pm MST Choose your experience In Person Experience $95 Online Experience $65 In Person: Light Cellar Teaching Kitchen (limited seats) Online: Live via Zoom (link provided after registration) Discover the craft, flavour, and nourishment of real sourdough baking Sourdough is more than just breadits a living fermentation

Wild Sourdough

Learn to Craft Naturally Fermented Bread from Scratch

Core Class — Choose Your Format
TBA Autumn 2026
11:00am – 1:00pm MST

Choose your experience

  • In-Person Experience — $95

  • Online Experience — $65

In-Person: Light Cellar Teaching Kitchen (limited seats)
Online: Live via Zoom (link provided after registration)

 


Discover the craft, flavour, and nourishment of real sourdough baking

Sourdough is more than just bread—it’s a living fermentation tradition that transforms simple ingredients into deeply flavourful, nourishing food.

In this immersive class, Chef Alex Hamilton will guide you through the foundations of naturally fermented sourdough baking using traditional techniques, high-quality ingredients, and professional bakery insight.

You’ll learn how to work with wild sourdough cultures, develop flavour and texture, and build the confidence to begin baking your own sourdough creations at home.

From artisan loaves to waffles, pancakes, and more, this class will help you understand the versatility and satisfaction of working with real sourdough.

 


In this class, you’ll learn:

  • The foundations of wild sourdough fermentation

  • How sourdough differs from conventional bread baking

  • The role fermentation plays in flavour and digestibility

  • How to mix, knead, ferment, and prepare dough

  • Tips for working with hydration, timing, and texture

  • How to use sourdough starter across multiple recipes

 


Recipes and techniques include:

  • Artisan sourdough bread

  • Sourdough waffles and pancakes

  • Working with heirloom and freshly milled flours

  • Starter maintenance and fermentation basics

 


What you’ll experience:

  • Live sourdough demonstrations and techniques

  • Sampling of sourdough creations

  • Professional bakery insight from Chef Alex Hamilton

  • Practical guidance for recreating the process at home

 


Included with your registration:

Each participant will receive:

  • Your own sourdough starter culture to take home

  • Dough prepared during class to bake at home
    (a delicious continuation of the learning experience)

 


Choose your experience:

In-Person Experience

  • Interactive classroom experience

  • Direct interaction and Q&A

  • Immersive hands-on learning environment

Online Experience

  • Join live from home

  • Full teaching + Q&A

  • Great for those outside Calgary or unable to attend in person

 


Continue your learning:

Related classes include:

 


Who this is for:

  • Home bakers wanting to learn real sourdough techniques

  • Anyone interested in fermentation and traditional food preparation

  • People wanting to work with heirloom and high-quality grains

  • Beginners and experienced bakers alike

 


Instructor

with Chef Alex Hamilton
Professional baker and culinary educator

Alex is currently the chef and culinary wizard at the Light Cellar and has a catering business called Feast. He has been cooking professionally for 23 years. He has cooked in many of Calgary’s top restaurants and even worked in China and Los Angeles. Having experience in all aspects of cooking and baking, he loves exploring other cultures' food and applying techniques to local ingredients. His current focus is foraging and fermentation, getting to know the Calgary area’s flora and fauna. He is deepening his understanding of the local supply chain and how to best utilize it and lessen waste.  He explores how to make delicious food healthy and healthy food delicious, integrating time honored food traditions that promote better well being.   There is a deep importance for a healthier and more synergistic relationship with food and the energy systems of our body. 


After you register:

All participants will receive:

  • A reminder email with full event details

  • The link to join live (for online attendees)

  • Access to the session recording after the class

  • Recipes and supporting class resources

If you can’t attend live, you’re still welcome to register and watch the replay.

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SKU: 68021345145

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Verified Purchase
Amazon Customer
Bozeman, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
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Verified Purchase
Kindle Customer
Los Angeles, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Cuba, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
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Verified Purchase
Moses Kayanda
Los Angeles, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
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Reviewed in the United States on March 1, 2022
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Verified Purchase
Gabe Rigall
Bozeman, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
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Reviewed in the United States on February 26, 2022

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