1. Google services and Google Colaboratory
2. Python. Introduction. Basic data types
3. Conditional statements and Loops in Python
4. Data structures
5. Functions and modules
6. Pandas Library
7. IDE. Development environment

1. Fundamentals of working with chatGPT. promt-engineering
2. Embedding representation of texts. LangChain algorithm
3. Creating knowledge bases. Base architecture. Working with copywriters
4. Creating a dialog with a chatGPT. Connecting multiple chatGPT models
5. Neuro-assistant based on website parsing. System with several knowledge bases.
6. Optimizing the number of tokens. Approaches to prompt creation.
7. Faiss methods

1. Creating a web service with chatGPT. Part 1
2. Creating a web service with chatGPT. Part 2
3. Creating a Telegram bot with chatGPT. Part 1.
4. Creating a Telegram bot with chatGPT. Part 2.

1. Neuro video copywriter
2. Neuro-control of sales department quality
3. Neuro-HR analysis of the interview
4. Neuro-HR: writing a resume in a dialog format. Creating a cover letter for a job vacancy based on a resume. Matching a resume to a job opening
5. Neuro-examiner
6. Neuro-content maker + neuro-traficologist
7. Neuro-salesman
8. Neuro-salesman. Part 2

1. Running and using SoTA (state of the art) local (contour) models from the open LLM HuggingFace leaderboard for text generation
2. Running and using SoTA local (contour) models from the MTEB HuggingFace leaderboard to generate embeddings in the Sentence Similarity task
3. Running and using SoTA local (contour) models: NLLB, MarianMT, Saiga translation of Russian-English pairs
4. Selecting video cards to run models on your server

1. Publishing models to your server

1. Creating an Android application with chatGPT. Part 1
2. Creating an Android application with chatGPT. Part 2
3. Creating a web application with chatGPT. Part 1
4. Creating a web application with chatGPT. Part 2
5. Creating a web application with chatGPT. Part 3

1. Speech recognition
2. Clearing recognized speech
3. Speech generation
4. Transfer of speech style. Part 1
5. Transfer of speech style. Part 2

1. Selling projects. Receiving applications
2. Selling projects. Sale, negotiations with the company
3. Selling projects. Legal issues, contract and terms of reference
4. Projects for sale. Estimation of the cost of projects on chatGPT

More than 70% of our students have no programming experience. Students from professions very far from programming - doctors, designers, tutors, foremen and others - have created AI projects and found jobs with us. We have an additional introductory program of 8 classes for those who want to start from scratch and take the course gradually. You will definitely be able to master neural networks!

Our oldest students are 74, 76 and 80 years old. Over 60 years old we have more than 40 students, and over 50 years old we have more than 200 students.
You can master neural networks regardless of your age, moreover, even at 60 you can find a job. AI is a niche where customers care about your skills, not your age.

We have installments from banks for 12, 24 and 36 months, installments are interest free.
These installments are valid for individuals citizens of the Russian Federation.
If you are not a citizen of the Russian Federation, if you pay from the company or if the banks do not approve the installment, there is an installment from us, but for 2-3 months.

Yes, of course, a huge number of participants pay from a company. Sometimes it is the company where our student works, and sometimes it is the student's own sole proprietorship or LLC.