Free AI Courses:

Learn AI Basics

and Tools Today

The world is constantly moving forward, and artificial intelligence (AI) is already becoming a key technology that is revolutionizing both business processes and our everyday lives.

artificial intelligence (AI) is already becoming a key technology

Having knowledge in the field of AI can transform your approach to work, boost process efficiency, open new career opportunities, and influence global innovations.

You can easily acquire this knowledge using free educational resources. The courses and programs we've gathered for you are tools to help you grasp the basics of AI, even if you don’t have technical experience but are eager to learn!

Udacity’s School of Artificial Intelligence

Udacity offers the “School of Artificial Intelligence”, which includes a variety of courses and programs—from the fundamentals of Machine Learning and Deep Learning to Computer Vision, Natural Language Processing, and AI Product Management. Both free and paid options are available, so you can choose the one that best matches your goals and knowledge level.

We recommend starting with the following:

Course: “Intro to Machine Learning” by Udacity

“Intro to Machine Learning” consists of 17 lessons, where you will learn:

Fundamental machine learning algorithms (Naive Bayes, SVM, Decision Trees, etc.).
Data handling (cleaning, dimensionality reduction, dataset preparation).
Popular tools, including Scikit-learn.

The course is led by experienced professionals, headed by Udacity founder Sebastian Thrun. The language of instruction is English (with English subtitles).

“Intro to Artificial Intelligence” by Sebastian Thrun and Peter Norvig (Director of Research at Google) is an excellent starting point for anyone interested in delving deeper into AI. You will study:

Problem-solving methods using AI.
Basics of probability and machine learning.
Natural language processing, planning, and robotics.

The course features an interactive assistant, practical tasks, and the ability to work offline. Language: English. Duration: 31 lessons (approximately 18 hours).

Beginner-Friendly Courses from Google

Google offers a range of courses designed for beginners to gain foundational knowledge in generative AI, machine learning, and the responsible use of AI. The training is also available in Ukrainian.

The learning path includes:

Introduction to Generative AI

Duration: 8 hours

This microlearning course provides a general understanding of generative AI, its applications, and how it differs from traditional machine learning methods. The course also covers Google tools for creating generative AI-based applications.

Introduction to Large Language Models

Duration: 8 hours

This introductory course explains what large language models are, where they are applied, and how to improve their efficiency through prompt tuning. It also covers Google tools for building generative AI applications.

Introduction to Responsible AI

Duration: 30 hours

This course introduces the concept of responsible AI usage, why it matters, and how Google applies these principles in its products. It includes Google’s seven core AI principles.

Prompt Design in Vertex AI

Duration: 3 hours 45 minutes

This course helps develop skills in prompt engineering, image analysis, and multimodal generative techniques within Vertex AI. You will learn how to craft effective prompts and work with Gemini models for real-world marketing tasks. After completing the course, you can earn a skill badge from Google Cloud.

Responsible AI: Applying AI Principles with Google Cloud

Duration: 2 hours

This course teaches how to apply responsible AI principles in organizations. You’ll gain practical tips and experience to develop your own AI strategy.

Google's Guidebook on Neuroagents

Google Recently Released a Free Guidebook on Neuroagents

Discover everything about the cutting-edge technology that is revolutionizing task automation and interaction with neural networks.

What Awaits You:

Comprehensive Overview of Agent Architecture: Learn the fundamentals of their functionality and principles of operation.
Tools for All Skill Levels: Practical tips for both beginners and advanced users.
Methods to Enhance Neural Network Efficiency: Step-by-step instructions and strategies.
Guide to Creating Your Own Product: From concept to implementation with neuroagents.

Explore this resource to unlock the full potential of neuroagents in transforming your approach to automation and innovation.

Free Online Course: “AI for Everyone” by Coursera

Duration: 10 hours

Language: English (with Ukrainian subtitles)

This course is designed for beginners with no technical background, offering a simple and clear introduction to the world of AI. During the training, you will:

Learn the key concepts of AI.
Understand how to create simple AI projects.
Explore how to implement AI solutions in organizations.

The course consists of four modules with video lectures, practical assignments, and homework. Upon successful completion, you’ll receive a certificate.

Course Instructor

Andrew Ng is a world-renowned expert in machine learning, founder of DeepLearning.AI, managing partner at AI Fund, chairman, and co-founder of Coursera, and an adjunct professor at Stanford University. On his Coursera page, you can find courses for various skill levels—from technical development to business strategies, many of which are available for free.

Course: Statistical Learning with R by StanfordOnline

Duration: 11 weeks

Topic: Statistical Modeling

This course by Stanford University introduces the fundamentals of statistical modeling and data analysis. You’ll master methods like linear and nonlinear regression, classification, clustering, and decision tree techniques. The primary programming language is R (a Python version is also available).

Key Topics:

Linear and nonlinear regression
Neural networks and deep learning
Classification and clustering methods

The course is suitable for beginners and concludes with a certificate from Stanford.

Agent Learning Course by Hugging Face

Hugging Face has launched an interactive course on its Learn platform to help you master the creation and implementation of AI agents. The course is free and offers a certificate upon successful completion.

What Will You Learn?

Theoretical Foundations:
- What agents are and the different types available.
- How to train agents to work with LLMs, perceive their environment, and act accordingly.
Practical Agent Creation:
- Numerous hands-on exercises using major frameworks and real-world examples, such as automating SQL queries, generating code, and summarizing documents.
- For example, teaching models to handle complex file structures on a computer, locate, and process the necessary documents independently.

AI Courses from NVIDIA

NVIDIA offers several free online courses covering various aspects of artificial intelligence, including generative AI and neural networks.

We suggest starting with the basics:

Generative AI Explained

Duration: 2 hours

Topic: Generative AI / LLM

This non-coding course helps you understand the basics of generative AI, its applications, as well as the challenges and opportunities in this fascinating field. You’ll learn how neural networks detect patterns in data and create new content. By the end of the course, you’ll have a deeper understanding of generative AI principles and how to effectively use its tools.

Key Topics:

Defining Generative AI and explaining how it works.
Applications of generative AI.
Challenges and opportunities in generative AI.

Building a Brain in 10 Minutes

Duration: 10 minutes

Topic: Neural Networks

This short lesson explores the biological and psychological foundations of the first neural networks. You’ll learn how neural networks use data for training and understand the mathematical principles behind neurons.

Key Topics:

Data for AI
Neurons
TensorFlow 2

These courses are perfect for those looking to gain foundational knowledge in AI and neural networks. To explore other NVIDIA courses, visit learn.nvidia.com and use the “Free” filter in the search.

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