Coursera

Planning a Generative AI Project (Coursera)

Offered by AWS,
Planning a Generative AI Project (Coursera)

Planning a Generative AI Project is the second course in a three-part series of Generative AI Essentials for Business and Technical Decision Makers. If you have not done so already, it is recommended that you start with the first course in the series called Introduction to Generative AI: Art of the Possible.

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

In this course, you will learn about the technical foundations and key terminology related to generative artificial intelligence (AI). You will also learn how to evaluate the risks and benefits of using generative AI, and explore the steps to planning a generative AI project.

Syllabus

Planning a Generative AI Project

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

Related Courses

Generative AI in HR - Impact and Application of Gen AI (Coursera) Coursera
Board Infinity

Generative AI in HR - Impact and Application of Gen AI (Coursera)

Personal and Professional Development

"Generative AI in HR - Impact and Application of Gen AI HR Tools" is a comprehensive course designed to explore the transformative role of generative AI in human resources. Across two modules, this course covers the fundamentals of generative AI, its applications in HR, and the broader implications for the future. It delves into practical uses in recruitment, employee engagement, and training, as well as critical discussions on ethics, bias, and privacy. Emerging trends and predictive analytics are also explored, preparing HR professionals for the evolving landscape of AI in the workplace.

Aug 3rd 2026
2 Weeks
Artificial Intelligence Human Resources Predictive Analytics
Details
Machine Teaching for Autonomous AI (Coursera) Coursera
University of Washington

Machine Teaching for Autonomous AI (Coursera)

Engineering

Just as teachers help students gain new skills, the same is true of artificial intelligence (AI). Machine learning algorithms can adapt and change, much like the learning process itself. Using the machine teaching paradigm, a subject matter expert (SME) can teach AI to improve and optimize a variety of systems and processes. The result is an autonomous AI system.

Aug 10th 2026
4 Weeks
Artificial Intelligence Machine Learning Neural Networks
Details
AI for Efficient Programming: Harnessing the Power of LLMs (Coursera) Coursera
Fred Hutchinson Cancer Center

AI for Efficient Programming: Harnessing the Power of LLMs (Coursera)

Robotics & Computer Vision

This course on Artificial Intelligence (AI) for software development explores the use of AI large language models such as ChatGPT, Bard, and others and their potential benefits and challenges. Through examples and hands-on activities, you will develop an understanding of the ways in which AI can speed up software development tasks and free up time for more creative and strategic work.

Aug 10th 2026
4 Weeks
Artificial Intelligence Coding Data Science
Details
Artificial Intelligence and legal issues (Coursera) Coursera
Politecnico di Milano

Artificial Intelligence and legal issues (Coursera)

Robotics & Computer Vision

The purpose of the course is to help students understand the legal implications related to the design and use of artificial intelligence systems, providing an overview of the risks and legal protections that can be envisaged and giving an overview of the legislation and legal principles currently applicable on the subject.

Aug 10th 2026
4 Weeks
Artificial Intelligence Law Intellectual Property
Details
AI, Business & the Future of Work (Coursera) Coursera
Lund University

AI, Business & the Future of Work (Coursera)

Business

This course from Lunds university will help you understand and use AI so that you can transform your organisation to be more efficient, more sustainable and thus innovative. The lives of people all over the world are increasingly enhanced and shaped by artificial intelligence. To organisations there are tremendous opportunities, but also risks, so where do you start to plan for AI, business and the future of work?

Aug 10th 2026
4 Weeks
Business Artificial Intelligence AI
Details
Google Cloud Product Fundamentals em Português Brasileiro (Coursera) 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.

Aug 3rd 2026
5-12 Weeks
Artificial Intelligence Cloud Machine Learning
Details
Responsible AI - Principles and Ethical Considerations (Coursera) Coursera
Fractal Analytics

Responsible AI - Principles and Ethical Considerations (Coursera)

Statistics & Data Analysis Data Science

Welcome to "Responsible AI – Principles and Ethical Considerations"! Dive deep into the very essence of Responsible AI with us. Uncover the significance of key principles shaping technology's future. From ethical considerations to fairness, transparency, and accountability, we discuss these principles with real-world examples, putting them into the context of data science.

Aug 10th 2026
5-12 Weeks
Artificial Intelligence Security Privacy
Details
AI Materials (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

AI Materials (Coursera)

CS: Design & Product

Learn about the materials that have advanced the performance of artificial intelligence, and the machine learning models that could help accelerate the design and development of novel materials. This course defines artificial intelligence (AI) as a machine to which some or all of the functions of the human brain have been delegated. It highlights the need, and explains in an easy-to-understand way how machine learning from artificial intelligence can dramatically accelerate the development of new materials.

Aug 10th 2026
5-12 Weeks
Artificial Intelligence Machine Learning AI
Details
Security for Artificial Intelligence Software and Services (Coursera) Coursera
Board Infinity

Security for Artificial Intelligence Software and Services (Coursera)

Data Science

The "Security Basics for Artificial Intelligence Software and Services" course provides an in-depth exploration of security measures and best practices in the context of AI. Spanning two comprehensive modules, the course begins with an introduction to the fundamentals of AI security, including ethical considerations and common threats. It then progresses to practical strategies for implementing robust security in AI development, such as secure coding, vulnerability assessment, and adherence to compliance standards.

Aug 3rd 2026
2 Weeks
Artificial Intelligence Security Encryption
Details
Data intelligence for businesses and managers (Coursera) Coursera
Institut Mines-Telecom

Data intelligence for businesses and managers (Coursera)

Statistics & Data Analysis Data Science

With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tools have become a strategic priority for companies, and the main gas pedal of their digital transformation.

Aug 10th 2026
5-12 Weeks
Artificial Intelligence Data Management Business Strategy
Details