Introduction to AI Online Course
Artificial intelligence (AI) is everywhere in our daily lives, and its use is growing fast. It is helping us to park our cars and choose the videos we watch, but it is not just transforming our personal lives – it is also revolutionizing the way businesses operate and innovate. By automating routine tasks, analyzing vast amounts of data, and providing previously inaccessible insights, AI is enabling companies to enhance efficiency, reduce costs, and make more informed decisions.
The Introduction to AI online course offers you a clear and science-based look into how AI works and how it is used in various contexts, focusing on the principles behind it and its practical uses. You will gain a solid understanding of the core concepts of AI in order to comprehend its mechanisms and potential. The course also explains how machine learning, algorithms, and data can improve decision making, and covers topics like deep learning, generative AI, and computer vision.
This online course combines theoretical knowledge with practical examples, ensuring that participants can grasp the complexities of AI and use AI in their professional lives.
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By completing the course, you will get an Aalto EE Introduction to AI certificate worth 0.5 ECTS. |
Demystifying AI – learn what the practical technologies are behind modern AI
Work-life relevance – understand how AI applications are changing your working environment
Distinguish fact from fiction – understand the real potential of AI behind the hype
Watch the introduction video
Benefits
The Introduction to AI online course provides a comprehensive foundation in artificial intelligence that demystifies its concepts and practical applications, making it accessible to a broad professional audience. You will gain an in-depth understanding of AI's core principles and learn how technologies like machine learning, deep learning, generative AI, and computer vision are changing industries. By translating complex theories into real-world applications, the program shows you how to apply AI to enhance your business and optimize operational efficiencies. Moreover, the course is designed to empower professionals with the ability to critically assess AI trends and technologies, separating viable opportunities from hype. This discernment is crucial for decision making in an era when AI's influence on business and society continues to grow.
For
This online course is ideal for professionals across various fields aiming to harness AI's potential, enhance their skill set, and engage in informed discussions with colleagues or customers about AI applications. It suits those looking to stay ahead in technology or simply understand AI's impact on industry and society.
Contents and Schedule
In this self-paced online course, you will gain a comprehensive understanding of artificial intelligence, machine learning, deep learning, and generative AI. Additionally, in the final module of the course, you will delve into the specialized field of computer vision. The five modules of the online course function as independent units.
During the online course, you will study and internalize information by reading and listening to short videos. At the end of each module, there is a test with a few questions through which you can assess what you have learned.
The online course consists of five modules. The estimated study time is 12 hours. You can study the online course at your own pace and progress according to your own schedule.
The course videos are subtitled in English.
Modules
Module 1: What is AI?
This module deepens your understanding of artificial intelligence, a key step in understanding future technology. You will learn the concept of machine intelligence and how AI impacts our world.
Module 2: Machine Learning
This module introduces you to machine learning, a subfield of artificial intelligence that teaches computers to learn from data. You will learn to understand the underlying relationships and structures in data and apply this understanding to generate new data samples or make decisions based on observed data.
Module 3: Deep Learning
This module deals with deep learning, a potent subset of machine learning that mimics the human brain using artificial neural networks. These networks process large volumes of data, identify complex patterns, and make accurate predictions in areas such as image recognition, natural language processing, and speech recognition.
Module 4: Generative AI
This module teaches the basics of generative AI, a subset of artificial intelligence. Generative AI creates new content that is similar, but not identical, to the original data, using flexible deep-learning neural network models. The module covers the principles of large language and generative image models, as well as how to apply them.
Module 5: Computer Vision
This module provides you with an overview of computer vision, an interdisciplinary field that enables machines to perceive and understand the world through visual input. It gives you an overview of geometric and semantic computer vision, which are essential for many everyday techniques and future autonomous machines.
