SKU: 17421890974

Chocolate Alchemy (Level 1) - Autumn 2026

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Description

Chocolate Alchemy (Level 1) - Autumn 2026Chocolate Alchemy (Level 1) Craft Your Own Superfood Chocolate from Scratch Core Class Choose Your Format TBA Autumn 2026 11: 00am 1: 00pm MST 2 Hour Immersive Experience 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 alchemy of flavour, function, and feeling through handcrafted chocolate Have you ever

Chocolate Alchemy (Level 1)

Craft Your Own Superfood Chocolate from Scratch

Core Class — Choose Your Format
TBA Autumn 2026

11:00am-1:00pm MST
2 Hour Immersive Experience

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 alchemy of flavour, function, and feeling through handcrafted chocolate

Have you ever dreamed of making your own chocolate?

In this immersive and delicious hands-on experience, you’ll learn how to craft rich, satisfying superfood chocolate from scratch using wholesome ingredients, functional superfoods, and simple techniques you can recreate at home again and again.

More than just a recipe class, this is an invitation into the world of chocolate alchemy—understanding how ingredients, flavour, texture, technique, and feeling come together to create chocolate that is both deeply nourishing and incredibly enjoyable.

Whether making it for yourself, family, friends, or special gatherings, you’ll leave inspired and fully equipped to begin creating your own custom chocolate creations at home.

In this class, you’ll learn:

  • How chocolate is traditionally grown, sourced, and prepared

  • The difference between conventional chocolate and superfood chocolate

  • How to make chocolate from scratch in multiple different ways

  • How to adapt the same foundational recipe into bars, sauces, fudges, and drinking chocolate

  • How to work with wholesome sweeteners and functional ingredients

  • The “alchemy” of chocolate—understanding texture, flavour, and customization

  • How to incorporate herbs, spices, and superfoods into your creations

What you’ll experience:

  • Guided tasting of ingredients and finished chocolate

  • Behind-the-scenes insight into Light Cellar’s chocolate philosophy and process

  • Practical demonstrations you can easily recreate at home

  • Inspiration for creating your own signature chocolate recipes

Choose your experience:

In-Person Experience

  • Full tasting experience

  • Direct interaction and Q&A

  • Immersive sensory environment

Online Experience

  • Join live from your own kitchen

  • Full teaching + Q&A

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

Recommended for the full experience

Continue your chocolate-making journey at home with the:

Light Cellar Superfood Chocolate Making Kit

The perfect companion to this class, featuring the foundational ingredients and tools to recreate the recipes and techniques in your own kitchen.

You can also continue exploring the world of handcrafted superfood chocolate with:

Chocolate Life: The Alchemy of Flavour, Function & Feeling

by Malcolm Saunders

A deeper exploration into the philosophy, ingredients, recipes, and creative possibilities behind nourishing chocolate—designed to inspire your own chocolate creations at home.

Continue your learning:

Next step:

Chocolatiering (Level 2)

Explore tempering, truffles, fillings, textures, shaping, and elevated chocolate craftsmanship.

Who this is for:

  • Chocolate lovers wanting healthier, higher-quality options

  • Home creators and food enthusiasts

  • Anyone curious about crafting their own chocolate from scratch

  • Those wanting practical, creative kitchen skills they can immediately use

Instructor

with Malcolm Saunders, author of
Chocolate Life: The Alchemy of Flavour, Function & Feeling

What previous participants have said:

“Loved it — so excited to do this on my own!” — Cindy Smith

“I was inspired by the recipes & simplicity of the process.” — Natoya Abiola

“Such a great class — a perfect combination of knowledge, theory & hands-on practicality. Fun!” — Lora H.

“We had a blast and realized that chocolate making is both easy and a lot of fun.” — Joanne M.

“Not only was your course highly informative, it was absolute FUN and quite tasty!” — Norene P.

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.

 

Shipping Notes
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SKU: 17421890974

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4.5 ★★★★★
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A
Verified Purchase
Amazon Customer
Boise, 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
K
Verified Purchase
Kindle Customer
Lowell, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Boise, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Dallas, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
Cuba, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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