Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Specialization Summary
In this three-course specialization, you’ll first build a solid grounding in Generative AI. Learning how models like ChatGPT and DALL·E generate text and images, master prompt engineering techniques, and explore advanced methods such as fine-tuning, RLHF, and RAG. Next, you’ll gain practical, hands-on experience configuring and using leading GenAI tools, from text and image generation to workflow integration best practices. Finally, you’ll develop the ethical and governance frameworks needed to deploy GenAI responsibly, Mitigating bias, safeguarding privacy, navigating global regulations, and assessing real-world societal impacts.
Learning Outcomes
By completing GenAI Essentials, you will be able to:
Explain core principles and architectures behind generative models and how they differ from traditional AI. Demonstrate proficiency in key GenAI platforms—configuring, prompting, and evaluating outputs for both text and images. Apply advanced prompt engineering and integration strategies to accelerate creativity and productivity. Identify and mitigate ethical risks—bias, privacy concerns, and hallucinations—using best practices and compliance guidelines. Critically assess the societal and regulatory landscape of GenAI, and propose responsible AI deployment strategies.
Syllabus
- Course 1: Ethics and Responsible Practices in GenAI
- Course 2: Hands-On with GenAI Tools and Technologies
- Course 3: Demystifying GenAI: Concepts and Applications
Courses
-
Ethics and Responsible Practices in Generative AI is a self-paced course that helps you build a clear understanding of how to use generative AI in a thoughtful and responsible way. You do not need any technical background, just a curiosity about the role AI plays in our world and how to use it ethically. In less than 10 hours, you will do more than explore what generative AI is. You will learn how to think critically about its impact across different fields, including media, education, healthcare, and business. You will discover how to recognize ethical risks, such as bias or misuse of data, and how to apply practical strategies to address them. This course is designed to support both professionals and learners who want to use AI in ways that are both effective and responsible. You will also take a step back to consider the bigger questions. What does it mean to be human in a world where machines can create and decide? How is AI shaping our values, decisions, and society? Through reflection and real-world examples, you will explore how ethics and technology intersect in powerful ways. By the end of this course, you will be able to: • Explain the key ethical principles that guide the use of generative AI • Identify ways to manage data privacy, fairness, and other challenges in AI projects • Apply responsible AI practices using real case studies and examples • Reflect on how generative AI influences human values and social norms • Think ahead to the future of ethical challenges in AI This course will help you gain the confidence to engage with AI technologies in a way that is informed, respectful, and centered on human responsibility.
-
This course is designed for those curious about the transformative power of Generative AI across diverse sectors. It begins with an overview of GenAI's significance, exploring its core concepts and addressing common myths. Learners will delve into its applications in various industries, accompanied by real-world examples and case studies of successful projects. Through interactive learning and exploration, the course aims to provide a solid foundation for understanding and leveraging Generative AI's potential. By the end of this course, you’ll be able to: • Discuss generative AI's evolution and fundamental principles to distinguish its impact across various sectors. • Explore real-world applications of generative AI in various industries to recognize its transformative potential. • Examine case studies of generative AI projects, focusing on their strategies, outcomes, and societal impact. • Recognize generative AI's limitations and ethical considerations, classifying potential challenges and solutions.
-
In this beginner level course on Generative AI, we take a closer look at popular tools and technologies such as GPT-4, DALL-E, and Stable Diffusion, alongside basic hands-on guidance for their configuration and use. This course aims to deepen understanding of each tool's unique capabilities and ease of usage. Learners will achieve proficiency in employing these tools for various creative tasks and will be able to compare GenAI solutions for solving real-world problems. By the end of this course, you’ll be able to: • Demonstrate basic proficiency in configuring and utilizing various generative AI tools. • Highlight features, capabilities, and use cases of different generative AI technologies, analyzing their effectiveness in specific contexts, using criteria such as ease of use, output quality, and versatility. • Synthesize best practices for integrating generative AI into workflows.
Taught by
Jillian Kowalchuk and Soroush Razavi