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IBM 💙 Coursera. We just released the Generative AI Fundamentals Specialization. You can enroll now and this is what you will learn:

𝟭/ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀

- Describe generative AI and distinguish it from discriminative AI.
- Describe the capabilities of generative AI and its use cases in the real world.
- Identify the applications of generative AI in different sectors and industries.
- Explore common generative AI models and tools for text, code, image, audio, and video generation.

𝟮/ 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗕𝗮𝘀𝗶𝗰𝘀

- Explain the concept and relevance of prompt engineering in generative AI models.
-Apply best practices for creating prompts and explore examples of impactful prompts.
- Practice common prompt engineering techniques and approaches for writing effective prompts.
- Explore commonly used tools for prompt engineering to aid with prompt engineering.

𝟯/ 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 𝗮𝗻𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀

- Describe the fundamental concepts of generative AI and its core models
- Explain the concept of foundation models in generative AI
- Explore the capabilities of pre-trained models for AI-powered applications.
- Explore the features, capabilities, and applications of different generative AI platforms, such as IBM watsonx and Hugging Face

𝟰/ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗜𝗺𝗽𝗮𝗰𝘁, 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗜𝘀𝘀𝘂𝗲𝘀

- Describe the limitations of generative AI and the related concerns.
- Identify the ethical issues, concerns, and misuses associated with generative AI.
- Explain the considerations for the responsible use of generative AI.
- Discuss the economic and social impact of generative AI.

Register here and start your learning journey!