You will learn all the main applications of AI in different business areas: manufacturing (plants, production lines), pharmacology, marketing and sales, media and many others. Over the last year I have consulted more than 200 companies (including large ones like Sberbank, Pepsi and others). We will analyse about 100+ examples of neural network applications in business, all examples will come from the realities of Russia and the CIS. As a result, you will be able to create a list of AI projects that you can implement in your company.

In this lesson we will analyze in detail how neural networks are organized, how they are trained and what they can do to solve problems. We will analyze it in a high level way, without programming. The main purpose of this lesson is to understand the principles of neural network operation so that you can adequately communicate with the developers.

You will learn how to hire AI developers, which keys to look for them on hh, which competencies to pay attention to, how to interview. AI is still a specific and little known niche for entrepreneurs and managers, so without knowledge of how it works inside, there is a high risk to take the wrong developer or take a newcomer for a very competent specialist and overpay him

In this lesson we will analyze how an AI project is organized, why it differs drastically from standard IT projects, how to make the fastest and cheapest testing, whether AI will work in your niche, how to calculate the timing and risks of AI projects (they are higher than in any other area, AI solutions are still poorly predictable).

For AI training you need a training base - it can be your company's sales history, photos of details from the conveyor, media articles for classification and thousands of other options. Assemble the base, it is a business task, it is not solved by AI programmer (although he must participate in the task of collecting the base). You will learn, in what ways to collect base - by means of parsing, freelancers, polls of client base and set of others. You will be able to estimate the cost and timing of base collection in your particular case.

AI training requires a lot of computing power. In a small project it will not be enough an ordinary computer with a good video card, in some cases you will need expensive video cards, in some cases you will need to rent or buy powerful servers. You will find out what kind of computing power there are - video cards, farms, renting computing power. You will learn how to get good processing power for free from Google and in which case it may be the way out for you. You can determine how much processing power is needed for your particular project.

In the second part of the lesson you will learn how to integrate AI into your current IT system, whether it is 1C, a self-propelled program, a website, a mobile application or a fully stand-alone system that manages, for example, a drilling rig.
Today there are many ready-made solutions to integrate trained AI into your working project, it will be useful for you to know them in order to adequately assess the capabilities of AI application in your company and correctly set the task for the programmer.

In this lesson we will tell you what are the areas for creating AI projects, and which of them are in demand. You will learn how to properly organize an AI startup, where to get resources for it (money, developers, etc.).

We will also tell you about the optimal sequence of actions for creating your own AI-startup and making it profitable.