⚙️ Discover the Power of Generative AI on Coursera

But artificial intelligence is a vast, complex — and maybe a little daunting — topic to explore. Fortunately, there are organizations out there that make learning about it both easy and accessible. 

Coursera — a registered B Corp — is one of these organizations. The company was founded by Stanford computer scientists in 2012 with the vision of “providing life-transforming learning experiences to learners around the world.”

Apply your skills to recognize real-world generative AI uses and identify popular generative AI models and tools.

Gain knowledge of generative AI prompt engineering concepts, examples, common tools and techniques needed to create effective, impactful prompts.

Identify appropriate generative AI tools for data analytics.

Examine real-world applications where generative AI can enhance data analytics workflows.

Apply skills to recognize real-world generative AI uses and identify popular generative AI models and tools for text, code, image, audio and video.

Understand generative AI prompt engineering concepts, examples and common tools and learn techniques to create effective, impactful prompts.

Learn how to identify appropriate generative AI tools for data science use cases.

Apply generative AI prompt techniques to generate and augment datasets and to develop and refine machine learning models.

Apply your skills to recognize real-world generative AI uses and identify generative AI models and tools for text, code, image, audio and video.

Explain generative AI prompt engineering concepts, examples and common tools and learn techniques needed to create effective, impactful prompts.

Implement data engineering processes such as data warehouse schema design, data generation, augmentation and anonymization using generative AI tools.

Evaluate real-world case studies showcasing the successful application of generative AI for ETL and data repositories.

Apply your skills to recognize real-world generative AI uses and identify popular generative AI models and tools for text, code, image, audio, video.

Gain knowledge of generative AI prompt engineering concepts, examples, common tools and learn techniques needed to create impactful prompts.

Learn how to identify appropriate generative AI tools for cybersecurity.

Apply your generative AI skills to address standard and advanced cybersecurity needs.

Apply your skills to identify real-world generative AI uses and popular generative AI models and tools for text, code, image, audio and video.

Apply best practices for creating prompts and explore examples of impactful prompts.

Employ generative AI tools and techniques for product management tasks, such as creating product concepts, roadmaps and marketing collaterals.

Demonstrate the skills, tools and techniques required to boost your product manager career using generative AI.

Apply key product management skills, tools, and techniques to engage and manage key stakeholders and clients. 

Develop a working knowledge of Agile and adaptive methodologies used to expedite product solutions to market.

Evaluate real-world case studies showcasing the successful integration of AI into existing product management systems.

Demonstrate the skills and tools knowledge required to be a successful AI Product Manager.

Job-ready AI skills in just 6 months, plus practical experience and an industry-recognized certification employers are actively looking for.

The fundamental concepts, key terms, building blocks and applications of AI, encompassing generative AI.

How to build generative AI-powered apps and chatbots using various programming frameworks and AI technologies.

How to use Python and Flask to develop and deploy AI applications on the web.