How to Get Into AI (Coursera)

Offered by University of Leeds,
How to Get Into AI (Coursera)

AI forms the basis for all computer learning and is the future of all complex decision-making. As such it is becoming increasingly prevalent in daily life. As a result, the outlook is bright for artificial intelligence jobs. In this course, you will learn how to navigate the dynamic field of artificial intelligence (AI), exploring its applications and the evolving landscape of AI-related careers.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

You'll learn to understand various AI techniques, from artificial intelligence engineering to data science, gaining insights into their applications and ethical considerations. Get ready to acquire the skills that will propel your career in this rapidly evolving field!
Click Start, a nationwide training programme designed to help young people develop digital skills, offers this course. Click Start offers scholarships giving free access to young people in the UK. Follow the link in the Click Start icon on the top, to check if you are eligible for free access!

What you'll learn

  • Demonstrate an understanding of current AI applications across various fields and articulate the key issues associated with these applications.
  • Engage in critical reflection on the social, legal, and ethical considerations surrounding AI.
  • Recognise diverse AI career paths and the essential skills required for success in the field.

Syllabus

Week 1. What is artificial intelligence, and how can it be used responsibly?
In this first week of the course, you'll get a brief history of artificial intelligence and some insight into how it can be used. You'll find out about large language models such as ChatGPT and the sorts of industries which use them, and you'll be having a go at using some artificial intelligence yourself! Then we'll turn out attention to some important issues around the the ethical, legal and social challenges of AI and how you can approach using AI in an ethical and responsible way.

Week 2. Understanding artificial intelligence in the workplace
In this week we will look at how artificial intelligence is used as a technology in three roles and explore how artificial intelligence is impacting these roles. While it is uncertain exactly what the impact of artificial intelligence will be in the long term on jobs, we know how artificial intelligence is impacting certain jobs currently and how workers are adapting and upskilling to incorporate it in their work. We will also look at the 'transferable skills' which will be essential for the future, working alongside artificial intelligence. You will learn what these skills are, how to acquire them and how you might demonstrate them when applying for jobs.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

AI for Medical Diagnosis (Coursera) Coursera
DeepLearning.AI

AI for Medical Diagnosis (Coursera)

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already familiar with some of the math and coding behind AI algorithms, and are eager to develop your skills further to tackle challenges in the healthcare industry, then this specialization is for you. No prior medical expertise is required!

Jun 8th 2026
3 Weeks
Foundations of Project Management (Coursera) Coursera
Google

Foundations of Project Management (Coursera)

This course is the first in a series of six to equip you with the skills you need to apply to introductory-level roles in project management. Project managers play a key role in leading, planning and implementing critical projects to help their organizations succeed. In this course, you’ll discover foundational project management terminology and gain a deeper understanding of the role and responsibilities of a project manager. We’ll also introduce you to the kinds of jobs you might pursue after completing this program. Throughout the program, you’ll learn from current Google project managers, who can provide you with a multi-dimensional educational experience that will help you build your skills for on-the-job application.

Jun 8th 2026
4 Weeks
A Complete Reinforcement Learning System (Capstone) (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

A Complete Reinforcement Learning System (Capstone) (Coursera)

In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This capstone will let you see how each component---problem formulation, algorithm selection, parameter selection and representation design---fits together into a complete solution, and how to make appropriate choices when deploying RL in the real world. This project will require you to implement both the environment to stimulate your problem, and a control agent with Neural Network function approximation. In addition, you will conduct a scientific study of your learning system to develop your ability to assess the robustness of RL agents. To use RL in the real world, it is critical to (a) appropriately formalize the problem as an MDP, (b) select appropriate algorithms, (c ) identify what choices in your implementation will have large impacts on performance and (d) validate the expected behaviour of your algorithms.

Jun 8th 2026
5-12 Weeks
Optimizing Diversity on Teams (Coursera) Coursera
University of Pennsylvania

Optimizing Diversity on Teams (Coursera)

By drawing on social science perspectives, this course enables you to learn what diversity is, and how to use it to maximize team performance, innovation and creativity. You also learn how to draw out the collective wisdom of diverse teams, handle conflict and establish common ground rules through real-world cases and peer-to-peer discussions. In addition, you discover how to overcome common biases faced in diverse teams. Systems of power, reward and rhetoric are discussed to help you create prosperous teams where differences flourish.

Jun 8th 2026
4 Weeks
Google Cloud Product Fundamentals en Español (Coursera) Coursera
Google Cloud

Google Cloud Product Fundamentals en Español (Coursera)

Este curso, que es una continuación de Business Transformation with Google Cloud, le permitirá conocer la perspectiva tecnológica de la transformación de una organización. Para ser más específicos, explicaremos cómo la tecnología de Google Cloud puede transformar digitalmente una organización en los siguientes aspectos: modernizar la infraestructura de TI; mejorar la forma en que los equipos desarrollan las aplicaciones que utiliza la empresa; saber cómo aprovechar el aprendizaje automático y la inteligencia artificial para generar más valor; advertir el rol fundamental de las herramientas de productividad basadas en la nube, como G Suite, para cumplir con el trabajo, y comprender los desafíos y las oportunidades de la administración de costos que trae aparejados una infraestructura de TI cambiante basada en la nube.

Jun 8th 2026
5-12 Weeks
Generative AI Essentials: Overview and Impact (Coursera) Coursera
University of Michigan

Generative AI Essentials: Overview and Impact (Coursera)

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like.

Jun 12th 2026
1 Week
The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera) Coursera
IBM

The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera)

This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises.

Jun 8th 2026
1 Week
Comportamiento adaptativo (Coursera) Coursera
Universidad Nacional Autónoma de México

Comportamiento adaptativo (Coursera)

Los seres vivos han evolucionado en entornos cambiantes, por lo que han desarrollado mecanismos que les permiten exhibir comportamiento adaptativo. Usando el método sintético, podemos construir sistemas artificiales adaptativos que implementen dichos mecanismos, con lo cual también podemos incrementar nuestra comprensión de los sistemas naturales.

Jun 8th 2026
4 Weeks
Scalable Machine Learning on Big Data using Apache Spark (Coursera) Coursera
IBM

Scalable Machine Learning on Big Data using Apache Spark (Coursera)

This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner. Therefore an applied knowledge of working with Apache Spark is a great asset and potential differentiator for a Machine Learning engineer.

Jun 8th 2026
4 Weeks
Google Cloud Product Fundamentals em Português Brasileiro (Coursera) Coursera
Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Jun 8th 2026
5-12 Weeks