Are you interested in learning about generative artificial intelligence? In Foundations in Generative AI, you’ll be introduced to foundational concepts of generative AI, focusing on how machines create content such as text and images. You’ll gain a basic understanding of generative AI through examples and clear explanations. In Ethical Considerations for Generative AI, you’ll explore the ethics of generative AI, including transparency, accountability, and fairness. You explore risks in inputs and outputs of generative AI. You’ll learn about the IBM AI Risk Atlas as a resource for understanding potential impacts. A Large Language Model (LLM) is a type of AI model designed to understand and generate human-like language. LLMs are a foundational technology behind many generative AI applications. In Introduction to Large Language Models, you’ll explore how to apply large language models in practical scenarios such as customer service and content creation, with a focus on guiding IBM Granite models effectively.
Complete the following modules to earn an industry-recognized IBM SkillsBuild digital credential called Getting Started with Generative AI:
1. Foundations in Generative AI
2. Ethical Considerations for Generative AI
3. Introduction to Large Language Models
What you’ll learn
After completing these modules, you should be able to:
Apply prompt refinement techniques to improve the quality of AI-generated responses
Explore the IBM AI risk atlas
Craft a product blog post with IBM Granite
Language: English
Sign in to IBM SkillsBuild to take this free, on-demand, virtual course.
From personalized shopping recommendations to advanced medical imaging, artificial intelligence (AI) is driving innovation across industries and transforming the way you live, learn, and work. AI Fundamentals: Foundations for Understanding AI is your introduction to the core concepts and technologies of AI.
In five engaging modules, you’ll explore what AI is, how machines and humans learn differently, and how machine learning, neural networks, and deep learning drive today’s AI applications. You’ll discover real-world examples of AI in action, practice applying models to solve problems, and reflect on the ethical considerations of using AI responsibly. Whether you’re a student, professional, or lifelong learner, this course equips you with the knowledge and skills to understand, explain, and apply AI in meaningful ways.
Complete the following required modules to earn an industry-recognized IBM SkillsBuild digital credential called AI Fundamentals:Foundations for Understanding AI:
Introduction to Artificial Intelligence
The Intelligence Behind AI
Machine Learning
Neural Networks and Deep Learning
AI Forms and Functions
What you’ll learn
After completing AI Fundamentals: Foundations for Understanding AI, you should be able to:
Describe the foundations of artificial intelligence, including its forms, eras of data processing, and data types
Differentiate human and machine intelligence by recognizing learning processes, machine capabilities, and applications of AI
Apply machine learning principles by using classical models, identifying learning types, and considering their impact on AI accuracy and outputs
Explain how neural networks and deep learning function, including their learning processes, limitations, and issues of fairness and bias
Identify different forms of AI, including predictive, decision-making, computer vision, and generative AI, and their appropriate applications
Audience: This intermediate-level course is for anyone curious about the AI technologies shaping today’s digital world.
The knowledge and skills in these modules build on each other, so IBM SkillsBuild recommends that you complete the modules in the order in which they are presented.
Languages: English, Brazilian Portuguese
Sign in to IBM SkillsBuild to take this free, on-demand, virtual course.
What does it take to solve problems in a way that works for teams in large companies? Having great ideas isn’t enough. Successful design thinking teams operate as an ecosystem of different people with unique skills and responsibilities, working together to deliver human-centered experiences.
Enterprise Design Thinking is IBM’s approach to applying design thinking at the speed and scale a modern enterprise demands. It helps teams not only form intent, but deliver outcomes; outcomes that advance the state of the art and improve the lives of the people they serve.
Whether you’re just starting out on your design thinking journey or searching for resources to expand your expertise, Enterprise Design Thinking Practitioner is the perfect place to start.
Complete this course to earn an industry-recognized IBM SkillsBuild digital credential called Enterprise Design Thinking Practitioner.
Practitioners know the value of putting users first.
As a Practitioner, you:
Know who your team’s primary user group is
Share Enterprise Design Thinking with others
Find opportunities to apply design thinking activities in your everyday work to drive better outcomes
Audience: This course is ideal for is ideal for working professionals, students, IBM employees, and anyone seeking to develop user-focused problem-solving skills through outcome-driven collaboration and team empowerment.
Language: English, Arabic, Hindi, Brazilian Portuguese, Indonesian, Turkish
Sign in to IBM SkillsBuild to take this free, on-demand, virtual course.
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