Entrepreneurship in the Age of Artificial Intelligence and Machine Learning

There are over six million students enrolled in Machine Learning courses on Udemy. The most daring will try to start their own businesses.

For these learners, we continue to introduce Udemy courses based on the 1Mby1M methodology that will assist budding entrepreneurs in creating a pragmatic strategy.

I believe, strongly, that entrepreneurship and entrepreneurial capitalism can be democratized, and wealth can be created in the middle of the pyramid using capitalistic principles. In the next 2-3 decades, the potential for distributed capitalism is very high and the outcome should be extremely positive around the world. That is the mission upon which my current work with One Million by One Million is based.

Artificial Intelligence, Big Data and Machine Learning are going to be at the forefront of this immense burst of energy.

In the One Million by One Million online curriculum, a long time ago, I decided to put in a line as a joke: “We’re working on a chip that can be implanted in your brain and it will transfer ALL the entrepreneurial knowledge from my brain to yours. However, this chip is not quite ready yet. So, in the meantime, please study the curriculum and learn the methodology of entrepreneurship that we have designed.”

Well, little did I know that this would cease to be a joke!

In fact, in the next decade or two, perhaps, this sort of implant will become the future of education.

Today, if you want to become a Computer Scientist, you go to university and get trained in Algorithms, Data Structures, Computer Architecture, Artificial Intelligence, etc. You learn a set of programming languages. You learn how to debug your code. You learn how to architect a system. So on and so forth.

Or, you can also take those courses from a MOOC like Udemy, EdX or Coursera, and take advantage of the possibilities offered by online learning.

To become a doctor, you go to Medical School.

To learn business, you go to Business School.

But in the world that we are resolutely marching towards, this may very well cease to be how education is imparted. Education may become a surgical implant, rather than something acquired through many years of rigorous toil.

Education, thus, may neutralize the advantages enjoyed today by high IQ individuals, and make it possible for everyone to be extraordinarily knowledgeable in his or her chosen field or fields.

With one custom, highly personalized implant, you could be speaking five languages, have mastery over the entire field of medicine (not just specialized disciplines like Endocrinology or Pediatrics), and be able to play concert level violin by the age of eighteen.

Yes, I am talking about a world where Man and Machine fuse to create Superman out of every individual.

That, I think, is where we are headed.

In the meantime, let’s build Artificial Intelligence, Machine Learning and Big Data Startups.

The field is both wide open and extremely crowded. Meaning, you’d need to do intense competitive analysis to understand where there is a gap in the market.

Also, domain knowledge is heavily prized in Artificial Intelligence, Machine Learning and Big Data Startups. 

You could be a technical founder with deep algorithmic knowledge, or you could be a non-technical founder with a deep understanding of the workflow of international container shipping. 

Both are valuable.

Click on any course below to get up to 85% off through April.

Let’s start by going through the case studies and sector overview: How To Build AI Startups with Sramana Mitra

Today, investors are only interested in AI businesses with idea validation, domain knowledge, data strategy, and unfair advantage. Most companies will need to bootstrap in order to meet those standards.

One strategy to tackle the chicken and egg problem of obtaining data for building an AI startup is by offering services to prospective customers. This will not only finance your business creation but will also strengthen relationships with potential customers. 

For more, look into these three courses that cover a variety of bootstrapping methods.

Bootstrap First, Raise Money Later with Sramana Mitra

Bootstrapping a Startup with a Paycheck with Sramana Mitra

Bootstrapping a Startup with Services with Sramana Mitra

You should also learn how investors think before approaching VCs. Don’t go prematurely. Pre-seed funding is extremely difficult, rejection rates are very high. Take these courses to learn what investors want and avoid the time and emotional pain of repeated rejections.

How Pre-Seed Investors Think About Startups with Sramana Mitra

How Seed Investors Think About Startups with Sramana Mitra

Post-Seed and Pre-Series A Investors on Startups with Sramana Mitra

How Seed Investors Think About Deep Tech with Sramana Mitra

Here you have it. This is a complete list of Udemy courses that can help any Machine Learning entrepreneur get started. We hope you find them useful.

If you need help, come talk to me at a 1Mby1M roundtable.

Photo by h heyerlein on Unsplash