The following courses are designed to turn you from a complete beginner into someone who has a solid understanding of the field. We can't promise that they'll make you an expert, as there are nuances that only come with practice and there are a lot of niches to understand within each asset class.

Each course will cover the basics, intermediate, and advanced strategies for investing in the asset class. For each asset class we will cover the more popular niches, their benefits and drawbacks, tax implications and ways to minimize them.

Crypto Crash Course
Once seen as a giant ponzi scheme, crypto currency has emerged as a new asset class. What is Bitcoin? How does it work? Why have celebrities poured billions of dollars into it? What are smart contracts and how do they work? Why are some governments hostile towards crypto and others embrace it? What investment strategies are available and what are their tax implications? All these questions will be answered in the Crypto Crash Course. The lecture will be divided into sections explaining what cryptocurrencies are, why they make sense to invest in, and how to go about doing it. The course will dive deep into DeFi to explain how it differs from traditional finance and strategies for investing.
Real Estate Crash Course
One of the oldest asset classes yet still one of the most popular. Real estate is the most tax-advantaged investment vehicle and favored by the wealthy across the world. How does it consistently outpace inflation? Why is it considered a safe asset class despite all the leverage available to the investor? How can you make use of that leverage to grow your wealth tax-free? The crash course will explain basic real estate concepts, how to get started, and dive into different investing strategies (single family homes, rehabs, apartment buildings, syndications, storage, land, liens, etc.).
Generative AI Crash Course
As GPT-based systems become more sophisticated, they start competing with humans in many niches. In this course, I'll explain how AI has evolved in the recent years, what are the current limitations, and which workflows you can automate without losing quality. I'll also explain how to build your own scripts, plugins and web apps that wrap around existing AI services.