Generative AI Foundations

Prepare for the official Generative AI Foundations certification with this essential course.

Unlock the potential of Generative AI with a comprehensive introduction to cutting-edge AI technologies. From
understanding the differences between Generative AI and other types of AI, to exploring the models that drive text,
image, and video generation, this course equips you with the skills and knowledge needed to thrive in the rapidly
evolving field of artificial intelligence.

You’ll be guided through the core methodologies behind Generative AI models, from transformers to GANs, gaining
a deeper understanding of how they generate text, images, audio, and more.

In addition to foundational knowledge, you’ll dive into the art of prompt engineering—learning to craft, refine, and
optimize prompts to elicit specific outputs for various tasks. The course also covers the practical applications of these
tools in real-world scenarios, from creating content to transforming media formats.

Beyond technical proficiency, this course emphasizes the ethical and societal implications of Generative AI. You’ll
explore key concerns such as data privacy, intellectual property, and the potential biases that AI systems can introduce.
Whether you’re just starting out, looking to expand your expertise to stay ahead in an AI-driven future, or aiming to
understand the broader impact of these technologies, this course provides a solid foundation to help you succeed in
both professional and creative contexts as AI continues to transform industries.

Key Learning Outcomes:

• Understand Core Generative AI Concepts: Explore essential AI methods, including transformers, GANs, and
  diffusion models, and how they produce outputs like text, images, video, and audio.
• Master Basic Prompt Engineering: Learn how to create and modify effective prompts to generate and transform
  content, tailoring outputs for specific tasks and media formats.
• Refine Prompt Techniques: Improve prompt clarity and precision using common strategies, such as zero-shot
  and few-shot prompting, for more accurate and targeted AI responses.
• Recognize Ethical and Societal Impacts: Understand key ethical considerations, such as bias, data privacy, and
  legal implications, and explore the broader societal impacts of AI use in various fields.