AI in Practice: Preparing for AI from edX

This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning about the benefits and implications of AI when applied in practical settings.

But is AI really suitable for all types of organizations? In this course we use concrete examples to illustrate how AI can be of value in both private as well as public organizations – no matter how large or small, simple or complex they may be.

As one example we look at the Dutch National Police where the use of AI systems and techniques has helped remove the burden of routine administrative and operational tasks. AI helps in handling and processing large amounts of data, improves intake processes and investigation workflows and eases communication within the police and also deals with wider potential transparency and privacy issues.

As part of our two-course program ‘AI in Practice’, this course will prepare you for the integration of AI in your organization by understanding what it can achieve and recognizing the potential implications, including compliance and ethical considerations.

In the course we present a variety of case studies from public organizations, top Dutch universities and private enterprises in the financial, retail and publishing sectors such as ING, Ahold Delhaize and Elsevier.

‘AI in Practice – Preparing for AI’ gives you the ammunition to prepare for the many manifestations of artificial intelligence that we will be dealing with in the coming years and to understand the significance of this for the organization in which you work.

This course has been developed by Delft University of Technology and the Innovation Center for Artificial Intelligence Academy (ICAI). ICAI is a national initiative involving industry, universities and government in the area of AI research and applications.

What's inside

Learning objectives

Describe the benefits of implementing ai in organizations, in terms of context, problems, research approach and results.
Identify the implications of implementing ai in terms of improvement strategies for organizations in industry, academia and education.
Understand the aspects of ai compliance and ethics and their significance for your own organization.

Write about the implications of ai for industry, academia, education, or compliance and ethics.
After taking this course you will be able to:

Describe the benefits of implementing ai in organizations, in terms of context, problems, research approach and results.
Identify the implications of implementing ai in terms of improvement strategies for organizations in industry, academia and education.
Understand the aspects of ai compliance and ethics and their significance for your own organization.
Write about the implications of ai for industry, academia, education, or compliance and ethics.
After taking this course you will be able to:

Syllabus

The course is built from five main topics on AI in Practice:

Multimodal Machine Learning and Image Analysis - the National Police Lab AI (National Police and University of Amsterdam) and AI for Scientific Discovery in Publishing - the Discovery Lab (Elsevier and Vrije Universiteit).

Exploiting Structure in Deep Learning - Delta Lab (Bosch and University of Amsterdam) and a Bonus Track on Questions for Data Scientists in Software Engineering (AI for FinTech Research).

Thematic Track on Compliance & Ethics of AI - a variety of labs (University of Twente, Vrije Universiteit, ING, and Dutch National Police).

AI Applications in FinTech - the AI for FinTech Research (ING and Delft University of Technology).

Robotics - the AIRLab Delft (Ahold Delhaize and Delft University of Technology).

In each module of this course each topic is explained from the perspective of a selection of guest lecturers from ICAI labs, working in industry or academia.

This course is designed for people who want to apply AI in their own practical situation. This applies to managers who want to know what AI can do for their companies, data analysts and consultants who want to understand how AI can be applied in their business processes, or students who want to understand how the results of AI research can be translated into practical applications.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers the latest trends and applications in AI industries, embedding AI in organizations to shape the future of work

Instructors are experts from Delft University of Technology and the Innovation Center for Artificial Intelligence Academy (ICAI)

Provides practical examples of AI implementation in organizations, making the learning relevant and applicable

Includes case studies from various sectors, offering diverse perspectives on AI adoption

Focuses on the implications and ethical considerations of AI, equipping learners to navigate the challenges and opportunities it presents

May not be suitable for learners with no prior background in AI

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 AI in Practice: Preparing for AI with these activities:

Review existing knowledge of machine learning

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Review existing knowledge of machine learning to prepare and build foundational concepts covered in this course.

Browse courses on Machine Learning

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Read and summarize key papers in machine learning
Practice implementing basic machine learning algorithms, such as linear regression and k-means clustering

Read 'Artificial Intelligence: A Modern Approach' by Russell and Norvig

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Read a seminal book in the field of AI, providing an in-depth understanding of fundamental concepts and techniques.

View Melania on Amazon

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Obtain a copy of the book
Read the book thoroughly and take notes on key concepts
Complete the exercises and assignments in the book

Take online tutorials on deep learning

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Take online tutorials on deep learning to solidify techniques and practices involved in deep learning for real-world applications.

Browse courses on Deep Learning

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Complete a tutorial series on a platform such as Coursera, edX, or Udacity
Work through example code and practice implementing deep learning models

Three other activities

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Show all six activities

Attend a workshop on AI ethics and compliance

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Attend a workshop on AI ethics and compliance to explore the implications of AI for organizations.

Browse courses on AI Ethics

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Find and register for a workshop on AI ethics and compliance
Participate actively in the workshop, ask questions, and engage in discussions
Reflect on the workshop content and apply the learnings to your own organization

Solve AI coding challenges on platforms like LeetCode or Kaggle

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Solve AI coding challenges on platforms like LeetCode or Kaggle to improve practical skills in implementing AI algorithms.

Browse courses on AI Coding

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Create an account on a coding challenge platform
Select and solve AI-related coding challenges
Review solutions and learn from mistakes

Create a blog post or presentation on AI in a specific industry

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Create a blog post or presentation on AI applications in a specific industry, such as healthcare, finance, or retail.

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Research and gather data on AI use cases in the chosen industry
Outline and write the blog post or prepare the presentation
Publish the blog post or present the presentation to an audience

Career center

Learners who complete AI in Practice: Preparing for AI will develop knowledge and skills that may be useful to these careers:

Compliance Manager

Compliance Managers oversee the development and implementation of compliance programs. They work with businesses to ensure that they are complying with all applicable laws and regulations. Knowledge of AI can be helpful for Compliance Managers who want to develop and implement AI compliance programs. Coursework on AI compliance, ethics, and its implications may be useful for this role.

See salaries and explore the career path for Compliance Manager

AI Researcher

AI Researchers use their knowledge of AI to develop new AI algorithms and techniques. They work in a variety of settings, including academia, industry, and government. This course may be useful for those who want to gain a foundational understanding of AI algorithms and techniques, which can aid in AI research. This course has guest lectures from those working on current AI topics, which may be especially informative.

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Robotics Engineer

Robotics Engineers use their knowledge of robotics to design, build, and operate robots. They work in a variety of industries, including manufacturing, healthcare, and transportation. Some Robotics Engineers focus on AI, which enables robots to make more complex decisions and operate autonomously. This course may be useful for supplementing the understanding of AI that many Robotics Engineers need.

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AI Consultant

AI Consultants help organizations adopt and implement AI solutions. They work with organizations to understand their needs and develop AI solutions that meet those needs. They also help organizations implement AI solutions and train employees on how to use them. This course may be useful for those who want to gain a foundational understanding of AI and its business implications, which can aid AI Consultants. The focus on case studies in this course may be especially helpful.

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Data Scientist

Data Scientists use their knowledge of data science techniques to extract insights from data. They work with data from a variety of sources, including structured data, unstructured data, and streaming data. They use their insights to help businesses make better decisions. Knowledge of AI can be useful for Data Scientists who want to use AI techniques to gain more insights from data. Coursework from this course may be useful, particularly the work with data and the focus on AI applications.

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Machine Learning Engineer

Machine Learning Engineers are responsible for developing and deploying machine learning models. They use their knowledge of machine learning algorithms and data science techniques to build models that can learn from data and make predictions. They work closely with data scientists and software engineers to bring machine learning models to production. This course may be useful for gaining the foundational knowledge of AI that many Machine Learning Engineers rely on.

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AI Architect

AI Architects are responsible for designing and implementing AI solutions. They work with business stakeholders to understand their needs and develop AI solutions that meet those needs. They also work with data scientists and machine learning engineers to develop and deploy machine learning models. Coursework on developing AI solutions and business strategy from this course may be useful for AI Architects.

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Technical Writer

Technical Writers create documentation for a variety of technical products and services. They work with engineers, scientists, and other technical experts to understand the products and services and to create documentation that is clear, concise, and accurate. Knowledge of AI can be helpful for Technical Writers who need to create documentation for AI products and services. Coursework on writing about AI, as well as the compliance and ethics of AI, may be useful.

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AI Software Engineer

AI Software Engineers have a foundational understanding of AI. They can help build and launch AI tools internally. Having insight into AI can assist them with this. Coursework in Data Science and Machine Learning from this course may be useful.

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Data Analyst

Data Analysts take data from many sources and process it to provide insights to the business. They use their analytical skills to interpret data and create visualizations that help the business make better decisions. They use a variety of data science techniques, including machine learning and regression analysis. Many Data Analysts have a foundational understanding of AI to help with their analysis. Coursework on data science techniques from this course may be useful as well.

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Technology Analyst

Technology Analysts follow emerging technology trends and provide advice to businesses on how they can use technology to improve their operations. They work with a variety of technologies, including AI, cloud computing, and big data. Knowledge of AI can be helpful for Technology Analysts who want to provide advice on how businesses can use AI to improve their operations. Coursework on AI in practice from this course may be useful.

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Business Analyst

Business Analysts work with businesses to understand their needs and develop solutions to meet those needs. They use their knowledge of business processes and data analysis to identify areas for improvement and develop solutions that meet the needs of the business. Knowledge of AI can be helpful for Business Analysts who want to develop AI-powered solutions. The focus on business strategy and AI compliance from this course may be useful.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software solutions that meet the needs of their customers. Knowledge of AI can be helpful for Software Engineers who want to develop AI-powered software applications. Coursework on the benefits of implementing AI from this course may be useful.

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Risk Manager

Risk Managers use their knowledge of risk management principles and practices to help organizations identify, assess, and mitigate risks. They develop and implement risk management plans and policies, and they monitor risks on an ongoing basis. Knowledge of AI can be very useful when assessing risks that may come from AI systems. This course can help Risk Managers understand the risks and benefits of AI and develop better risk management strategies.

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Product Manager

Product Managers work with engineers, designers, and other stakeholders to develop and launch new products. They understand the customer's needs and the market landscape, and they use this knowledge to create products that meet the customer's needs. Knowledge of AI can be helpful for Product Managers as they develop and launch AI-powered products. Coursework on AI in this course may be useful in understanding these concepts.

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