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Explore foundational concepts, cutting-edge technologies, and key areas within the world of AI

Generative AI Fundamentals Specialization

Coursera
Generative AI is revolutionizing our lives. This specialization provides a comprehensive understanding of the fundamental concepts, models, tools, and applications of generative AI to enable you to leverage the potential of generative AI toward a better workplace, career, and life. The specialization consists of five short, self-paced courses, each requiring 3–5 hours to complete. Understand powerful prompt engineering techniques and learn how to write effective prompts to produce desired outcomes using generative AI tools. Learn about the building blocks and foundation models of generative AI, such as the GPT, DALL-E, and IBM Granite models. Gain an understanding of the ethical implications, considerations, and issues of generative AI. Listen to experts share insights and tips for being successful with generative AI. Learn to leverage Generative AI to boost your career and become more productive. Practice what you learn using hands-on labs and projects, which are suitable for everyone and can be completed using a web browser. These labs will give you an opportunity to explore the use cases of generative AI through popular tools and platforms like IBM watsonx.ai, OpenAI ChatGPT, Stable Diffusion, and Hugging Face. This specialization is for anyone passionate about discovering the power of generative AI and requires no prior technical knowledge or a background in AI. It will benefit professionals from all walks of life. Applied Learning Project Throughout this specialization, you will complete hands-on labs and projects to help you gain practical experience with text, image, and code generation, prompt engineering tools, foundation models, AI applications, and IBM watsonx.ai. Some examples of the labs included are: Text generation using ChatGPT and Bard Image generation using GPT and Stable Diffusion Code generation in action Getting to know prompting tools Experimenting with prompts Different approaches in prompt engineering Generative AI foundation models Exploring IBM watsonx.ai and Hugging Face
Beginner
Freemuim

Generative AI for Human Resources (HR) Professionals Specialization

Coursera
Are you an HR professional or aspiring to start your career in this domain? This specialization can help to advance your HR career by leveraging the power of generative AI. The specialization consists of three short, self-paced courses, each requiring 6-11 hours to complete. In this specialization, you will explore the core concepts, capabilities, and applications of generative AI. You will learn the techniques and approaches of prompt engineering to optimize the outcomes produced by generative AI tools. Specifically, the specialization demonstrates using generative AI capabilities in HR. Gain practical skills in leveraging generative AI for different functions in HR, including recruitment, onboarding, training, and performance management. Learn how generative AI can support strategic aspects of HR, such as workforce planning and employee engagement. Also, explore the key considerations for implementing generative AI in HR. Explore common generative AI tools and platforms, such as ChatGPT, Google Gemini, and IBM watsonx Orchestrate, which can be leveraged for HR use cases. Through the hands-on labs and projects, you will gain valuable experience in harnessing the learning of generative AI. You will hear from experts about their insights on the different concepts covered in the courses. Applied Learning Project Throughout this specialization, you will complete hands-on labs and projects to gain practical experience in leveraging generative AI in different functions, including recruitment, onboarding, training, performance management, and workforce planning. You will learn how to draft effective prompts for generating relevant outputs regarding the common and specific scenarios in the HR domain. Some examples of the labs included are: Generate Text Using Generative AI Generating Text, Images, & Code Experimenting with Prompts Naive Prompting and the Persona Pattern The Chain-of-Thought Approach in Prompt Engineering The Tree-of-Thought Approach in Prompt Engineering Common Applications of Generative AI in HR Leveraging Generative AI for Recruitment and Onboarding Leveraging Generative AI for Learning and Development Leveraging Generative AI for Performance Review Generative AI for Workforce Planning and Succession Planning Project: The AI-Driven Day for an HR Professional
Intermediate
Freemuim

FAQ

What is Prompt Engineering?

Prompt Engineering is the skill of crafting clear, effective instructions or "prompts" for generative AI models (like ChatGPT or Midjourney) to get the best possible responses or outputs from them. It's about learning how to communicate precisely with AI.

Why is Prompt Engineering important?

Prompt Engineering is the skill of crafting clear, effective instructions or "prompts" for generative AI models (like ChatGPT or Midjourney) to get the best possible responses or outputs from them. It's about learning how to communicate precisely with AI.

Who should take a Prompt Engineering course?

Prompt Engineering is the skill of crafting clear, effective instructions or "prompts" for generative AI models (like ChatGPT or Midjourney) to get the best possible responses or outputs from them. It's about learning how to communicate precisely with AI.

What will I learn in a Prompt Engineering course?

Prompt Engineering is the skill of crafting clear, effective instructions or "prompts" for generative AI models (like ChatGPT or Midjourney) to get the best possible responses or outputs from them. It's about learning how to communicate precisely with AI.