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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!