What is the Machine Learning Essentials for Coders Course?

We'll guide you through linear models, neural networks, and LLMs to help you understand how Machine Learning works inside.

Why is this course free?

We are part of Nebius, a European AI-centric public cloud with global expertise. Recognizing the immense potential of ML and AI technologies, we actively encourage and support their study. Our mission is to provide education to anyone eager to start their journey into ML and AI. We're passionate about sharing knowledge and believe that everyone should have access to the resources needed to explore these cutting-edge fields.

Will I have access to the Machine Learning Essentials for Coders Program after I complete the program?

Yes. You will be able to access it even after you complete the program.

Machine Learning Essentials for Coders

Why Choose This Course?

Step-by-Step Learning

We’ll begin with simple examples and provide clear, step-by-step explanations on training machine learning models. Perfect for beginners!

Transformers & LLMs

Discover transformers & LLMs that power recent AI breakthroughs. Gain the knowledge to apply them in practice.

Solid foundation

By the end of the course, you’ll have practical skills and a solid foundation in machine learning, ready to take on new projects and challenges.

Key Topics

Basic machine learning principles

Linear classifier

Transformers for texts and images

ChatGPT architecture

CLIP model architecture

OpenAI API, LangChain

HuggingFace libraries: datasets, transformers

AI FastTrack: From Basics to GPT

Explore the key topics of our course, organized into modules, each of which covers in detail important aspects of machine learning and artificial intelligence.

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Lesson 1

Introduction to ML

General principles of machine learning
Overview of different areas within machine learning
Introduction to text classification using a linear classifier

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Lesson 2

Hands-on Linear Models

Using Hugging Face datasets
Bag-of-words model and text vectorization with scikit-learn
Math behind a multiclass linear classifier
Gradient descent for parameter optimization
Training a linear model with scikit-learn

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Lesson 3

Transformers

Basics of neural networks
Texts tokenization and embeddings
Attention mechanism in neural networks
Transformers architecture
Stochastic gradient descent for neural networks training
Training and fine-tuning models with Hugging Face transformers

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Lesson 4

ChatGPT

Base GPT model is pre-training using self-supervised learning
ChatGPT fine-tuning and alignment training
In-context learning with ChatGPT
Using the OpenAI API for text classification
Building applications with large language models using LangChain

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Lesson 5

Computer Vision

Basics of image classification
Vision transformer architecture
Principles of transfer learning
Training and fine-tuning vision transformers
CLIP model architecture
Zero-shot image classification with CLIP

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with the course

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Nebius, established in late 2023, is a leading AI-centric public cloud platform designed to support the entire machine learning lifecycle. With a focus on empowering ML practitioners, Nebius offers comprehensive infrastructure and aims to become the preferred platform for generative AI developers.

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