Coursera

Determining AI Needs (Coursera)

Offered by Fred Hutchinson Cancer Center,

There are a ever increasing number of options, strategies and solutions for integrating AI solutions into a project. It can feel overwhelming to understand what these options entail let alone understand how to decide what solution best fits a use case. In this course we aim to give individuals the basic info they need to make basic plans for integrating AI tools into their project.

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

The course is intended for individuals who have an AI related project in mind or think that they might need to incorporate AI into their project. They are likely the leader who is guiding others in an AI related project and not necessarily the person who will write code or carry out the technical aspects of the project.

Syllabus

Determining AI Needs
This course is designed to equip participants with resource and project considerations when undertaking any AI project. Participants will gain an understanding of the decision-making process between adopting pre-built AI products and constructing custom models, taking into account project complexity and customization requirements.

Go to Class

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

Related Courses

Coursera

IBM

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

Data Science

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

Artificial Intelligence Machine Learning Big Data

Coursera

University of Virginia

Artificial Intelligence in Marketing (Coursera)

Marketing & Communication Business

AI is everywhere! By harnessing the power of Artificial Intelligence, businesses and marketers have amazing growth potential, and the opportunities to enhance marketing with AI are always expanding. But how can businesses use AI tools to drive their success and gain sustainable competitive advantages? What are the challenges faced by businesses as they implement AI into their marketing strategies? In this course, developed at the Darden School of Business at the University of Virginia, and delivered by Professor of Business Administration Raj Venkatesan, you will explore an important frontier of digital transformation in marketing.

Jun 8th 2026

4 Weeks

Business Marketing Artificial Intelligence

Coursera

Stanford University

Fundamentals of Machine Learning for Healthcare (Coursera)

Data Science

Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare.

Jun 8th 2026

5-12 Weeks

Healthcare Artificial Intelligence Machine Learning

Coursera

DeepLearning.AI

IA para todos (Coursera)

Data Science Business

La IA no es solo para ingenieros. Si desea que su organización esté mejor preparada en el uso de la IA, este es el curso que todos deberían hacer, especialmente sus colegas no técnicos.

Jun 8th 2026

4 Weeks

Artificial Intelligence Machine Learning Neural Networks

Coursera

Columbia University

Construction Project Management (Coursera)

Management & Leadership

Construction Project Management introduces you to Project Initiation and Planning. Industry experts join Columbia University professor, Ibrahim Odeh, to give an overview of the construction industry. Professor Odeh teaches the fundamentals of the Project Development Cycle while guest lecturers discuss Lean Project Delivery method and Lean Design Behaviors.

Jun 8th 2026

5-12 Weeks

Business Strategy Project Management Trends

Coursera

IBM

AI Workflow: Machine Learning, Visual Recognition and NLP (Coursera)

Data Science

This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. Course 4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company.

Jun 8th 2026

2 Weeks

Artificial Intelligence NLP Machine Learning

Coursera

University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Statistics & Data Analysis Data Science

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Jun 8th 2026

5-12 Weeks

Philosophy Artificial Intelligence Security

Coursera

University of Alberta,Alberta Machine Intelligence Institute

Fundamentals of Reinforcement Learning (Coursera)

Data Science

Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making.

Jun 8th 2026

4 Weeks

ML Artificial Intelligence Machine Learning

Coursera

University of Alberta

Agile Planning for Software Products (Coursera)

CS: Design & Product

This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production. Upon successful completion of this course, you will be able to: create effective plans for software development; map user requirements to developer tasks; assess and plan for project risks; apply velocity-driven planning techniques; generate work estimates for software products.

Jun 8th 2026

4 Weeks

Risk Agile PERT

Coursera

Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Business

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

Artificial Intelligence Cloud Machine Learning

Coursera

DeepLearning.AI

AI for Medical Diagnosis (Coursera)

Data Science

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

Artificial Intelligence Machine Learning AI

Coursera

University of Colorado Boulder

UX and Interface Design for Embedded Systems (Coursera)

CS: Design & Product

UX and Interface Design for Embedded Systems is the first of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This first course is focused on user experience (UX) and the related methods, practices, and principles that will help ensure your embedded interface designs for devices and systems are what your users both need and want.

Jun 8th 2026

5-12 Weeks

UX Embedded Systems Project Planning