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Amy Brereton,
Click Start,
and
Sam Wilson
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.
Read more
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.
Read more
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. 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!
Register for this course and see more details by visiting:
OpenCourser.com/course/edvt6x/how
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What's inside
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.
Read more
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.
Read more
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ideal for learners of all backgrounds and experience levels with artificial intelligence topics
Provides foundational knowledge and understanding of artificial intelligence applications and techniques
Taught by industry professionals Sam Wilson and Amy Brereton, who have real-world experience in AI applications
Provides insights into artificial intelligence's impact on business roles and industries
Offers training on identifying and developing transferable skills for working alongside artificial intelligence
Includes interactive elements and practical examples for enhanced comprehension
Save this course
Save How to Get Into AI to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in How to Get Into AI with these
activities:
Review foundational programming concepts
Show steps
Sharpen your programming skills and solidify foundational concepts that will be reinforced throughout this course.
Show steps
-
Review principles of programming including variables, data structures, and control flow.
-
Take practice problems that test your knowledge and identification of programming concepts.
-
Complete coding exercises to solidify your foundation.
AI Outreach and Education
Show steps
Broaden your understanding of AI's impact by engaging with diverse audiences and sharing your knowledge.
Show steps
-
Volunteer at events or workshops aimed at promoting AI literacy and education.
-
Participate in community outreach programs that introduce AI to underrepresented groups.
-
Create and share educational resources on AI for beginners.
Navigating Ethical Challenges in AI
Show steps
Explore ethical implications of AI to gain a deeper understanding of responsible decision-making in this rapidly evolving field.
Browse courses on
AI Ethics
Show steps
-
Seek out tutorials on ethical guidelines and best practices for AI development.
-
Watch videos and engage in discussion forums on the social and ethical impact of AI.
Four other activities
Expand to see all activities and additional details
Show all seven activities
AI Coding Challenges
Show steps
Sharpen your AI coding skills through regular practice and problem-solving.
Browse courses on
Machine Learning Algorithms
Show steps
-
Participate in online coding challenges and competitions focused on AI.
-
Solve AI-related coding problems and exercises from textbooks or online resources.
-
Implement and test AI algorithms and techniques in your own coding projects.
Industry Trends and Case Studies
Show steps
Gather industry-specific resources to stay informed about the latest AI trends and their real-world applications.
Show steps
-
Collect and review articles, reports, and case studies showcasing innovative uses of AI across various industries.
-
Organize and categorize the compilation for easy reference.
-
Share the compilation with peers and discuss insights gained from the research.
Contribute to Open Source AI Projects
Show steps
Engage in real-world AI projects to gain hands-on experience and contribute to the broader AI community.
Show steps
-
Identify open source AI projects aligned with your interests and skill level.
-
Attend workshops or events focused on open source AI development.
-
Collaborate with other developers to contribute code, debug issues, and improve projects.
-
Present your contributions and insights at community gatherings.
Share Your AI Knowledge
Show steps
Reinforce your understanding of AI concepts by teaching and mentoring others, fostering a deeper comprehension of the subject matter.
Show steps
-
Volunteer as a mentor or tutor for students learning about AI.
-
Organize study groups or workshops to share your knowledge and engage in discussions.
-
Create online content such as blog posts or tutorials to share your insights on AI.
Review foundational programming concepts
Show steps
Sharpen your programming skills and solidify foundational concepts that will be reinforced throughout this course.
Show steps
Show steps
Show steps
- Review principles of programming including variables, data structures, and control flow.
- Take practice problems that test your knowledge and identification of programming concepts.
- Complete coding exercises to solidify your foundation.
AI Outreach and Education
Show steps
Broaden your understanding of AI's impact by engaging with diverse audiences and sharing your knowledge.
Show steps
Show steps
Show steps
- Volunteer at events or workshops aimed at promoting AI literacy and education.
- Participate in community outreach programs that introduce AI to underrepresented groups.
- Create and share educational resources on AI for beginners.
Navigating Ethical Challenges in AI
Show steps
Explore ethical implications of AI to gain a deeper understanding of responsible decision-making in this rapidly evolving field.
Browse courses on
AI Ethics
Show steps
Show steps
Show steps
- Seek out tutorials on ethical guidelines and best practices for AI development.
- Watch videos and engage in discussion forums on the social and ethical impact of AI.
Four other activities
Expand to see all activities and additional details
Show all seven activities
AI Coding Challenges
Show steps
Sharpen your AI coding skills through regular practice and problem-solving.
Browse courses on
Machine Learning Algorithms
Show steps
Show steps
Show steps
- Participate in online coding challenges and competitions focused on AI.
- Solve AI-related coding problems and exercises from textbooks or online resources.
- Implement and test AI algorithms and techniques in your own coding projects.
Industry Trends and Case Studies
Show steps
Gather industry-specific resources to stay informed about the latest AI trends and their real-world applications.
Show steps
Show steps
Show steps
- Collect and review articles, reports, and case studies showcasing innovative uses of AI across various industries.
- Organize and categorize the compilation for easy reference.
- Share the compilation with peers and discuss insights gained from the research.
Contribute to Open Source AI Projects
Show steps
Engage in real-world AI projects to gain hands-on experience and contribute to the broader AI community.
Show steps
Show steps
Show steps
- Identify open source AI projects aligned with your interests and skill level.
- Attend workshops or events focused on open source AI development.
- Collaborate with other developers to contribute code, debug issues, and improve projects.
- Present your contributions and insights at community gatherings.
Share Your AI Knowledge
Show steps
Reinforce your understanding of AI concepts by teaching and mentoring others, fostering a deeper comprehension of the subject matter.
Show steps
Show steps
Show steps
- Volunteer as a mentor or tutor for students learning about AI.
- Organize study groups or workshops to share your knowledge and engage in discussions.
- Create online content such as blog posts or tutorials to share your insights on AI.
Career center
Learners who complete How to Get Into AI will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
As an Artificial Intelligence Engineer, you will lead the development, deployment, and maintenance of AI systems. This course will introduce you to the fundamentals of AI and provide you with the knowledge and skills you need to create innovative AI solutions. You will learn about different AI techniques and how to apply them to real-world problems.
Data Scientist
Data Scientist
As a Data Scientist, you will use data to solve business problems. This course will provide you with the foundation in AI and data science techniques that you need to succeed in this role. You will learn how to collect, clean, and analyze data, and how to build and evaluate AI models.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will develop and implement machine learning models. This course will provide you with the knowledge and skills you need to build robust and scalable machine learning systems. You will learn about different machine learning algorithms and how to apply them to real-world problems.
AI Product Manager
AI Product Manager
As an AI Product Manager, you will be responsible for the development and launch of AI products. This course will help you to understand the business and technical aspects of AI products. You will learn how to identify customer needs, define product requirements, and manage the development process.
AI Consultant
AI Consultant
As an AI Consultant, you will help organizations to adopt and implement AI solutions. This course will provide you with the knowledge and skills you need to advise clients on the use of AI. You will learn about different AI technologies and how to apply them to a variety of business problems.
Business Analyst
Business Analyst
As a Business Analyst, you will help organizations to understand their business needs and develop solutions to meet those needs. This course may be useful for Business Analysts who want to learn more about AI and how it can be used to improve business processes.
Software Engineer
Software Engineer
As a Software Engineer, you will develop and maintain software applications. This course may be useful for Software Engineers who want to learn more about AI and how it can be used to build more intelligent and efficient software.
Data Engineer
Data Engineer
As a Data Engineer, you will design and build data pipelines. This course may be useful for Data Engineers who want to learn more about AI and how it can be used to automate data processing tasks.
Project Manager
Project Manager
As a Project Manager, you will lead and manage projects. This course may be useful for Project Managers who want to learn more about AI and how it can be used to improve project outcomes.
Marketing Manager
Marketing Manager
As a Marketing Manager, you will develop and execute marketing campaigns. This course may be useful for Marketing Managers who want to learn more about AI and how it can be used to improve marketing effectiveness.
Sales Manager
Sales Manager
As a Sales Manager, you will lead and manage sales teams. This course may be useful for Sales Managers who want to learn more about AI and how it can be used to improve sales performance.
Human Resources Manager
Human Resources Manager
As a Human Resources Manager, you will lead and manage human resources functions. This course may be useful for Human Resources Managers who want to learn more about AI and how it can be used to improve human resources processes.
Financial Analyst
Financial Analyst
As a Financial Analyst, you will provide financial advice to individuals and organizations. This course may be useful for Financial Analysts who want to learn more about AI and how it can be used to improve financial analysis and decision-making.
Operations Manager
Operations Manager
As an Operations Manager, you will lead and manage operations functions. This course may be useful for Operations Managers who want to learn more about AI and how it can be used to improve operational efficiency and effectiveness.
Product Manager
Product Manager
As a Product Manager, you will lead and manage the development and launch of products. This course may be useful for Product Managers who want to learn more about AI and how it can be used to improve product development and launch processes.
For more career information including salaries, visit:
OpenCourser.com/course/edvt6x/how
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
How to Get Into AI.
Save
A comprehensive guide to deep learning, one of the most important subfields of AI. It covers the latest advances in deep learning and provides practical tips for building and training deep learning models.
Save
A great book for understanding the mathematical and algorithmic foundations of machine learning. It provides a solid background for those who want to delve deeper into the technical aspects of AI.
A timely book that explores the ethical implications of AI and provides practical guidance on how to develop AI systems that are fair, equitable, and accountable.
A hands-on guide to machine learning with Python, including exercises and projects.
A practical guide to deep learning with TensorFlow 2 and Keras, including code examples and exercises.
A clear and accessible introduction to AI for non-technical readers.
Save
A thought-provoking book that explores the potential risks and benefits of superintelligence, a hypothetical form of intelligence that surpasses human intelligence by a significant margin.
Save
A broad-ranging book that explores the impact of AI on society and the human condition.
Save
A provocative book that explores the potential impact of AI on the human future, from the development of new technologies to the possible merging of humans and machines.
Save
A thought-provoking book that explores the limitations of AI and challenges some of the common assumptions about its capabilities.
A practical guide to the business applications of AI and machine learning, with real-world examples and case studies.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/edvt6x/how
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Effort
Two weeks of study, 6-8 hours per week
Level
Introductory
Via
Coursera
Institution
University of Leeds
Instructors
Amy Brereton
Click Start
Sam Wilson
Language
English
Good to know
Ideal for learners of all backgrounds and experience levels with artificial intelligence topics
Provides foundational knowledge and understanding of artificial intelligence applications and techniques
Taught by industry professionals Sam Wilson and Amy Brereton, who have real-world experience in AI applications
Provides insights into artificial intelligence's impact on business roles and industries
Offers training on identifying and developing transferable skills for working alongside artificial intelligence
Includes interactive elements and practical examples for enhanced comprehension
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