IBM – Getting Started with Artificial Intelligence

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About Course

About this learning plan

Does artificial intelligence spark your interest? Embark on a journey into the world of artificial intelligence with this course designed for beginners. Gain foundational knowledge in artificial intelligence systems, common industry applications, and a look into the innovative realm of generative AI. This course offers the perfect starting point for anyone who wants to understand and use the transformative power of AI technology.

 

What you can expect
Complete the following modules to earn an industry-recognized IBM SkillsBuild digital credential called Getting Started with AI:

  1. Introduction to Artificial Intelligence
  2. Introduction to Large Language Models
  3. Crafting Precision Prompts with GenAI

 

What you’ll learn

After completing Getting Started with AI, you should be able to:

  •  Describe the history of AI development
  • Define and describe structured, unstructured, and semi-structured data, machine learning, and ways that AI makes predictions from data
  • Describe three ways that AI analyzes data
  • Define large language models (LLMs)
  • Identify key LLM concepts such as transformers
  • Describe some common applications of large language models
  • Explain generative AI and the impact in today’s world
  • Identify the rules to follow to write effective prompts to generate
    focused and accurate results from an AI language model
  • Create a playlist using a generative AI model
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Course Content

Introduction to Artificial Intelligence
About this learning activity Less than a century old, artificial intelligence (AI) has already undergone three waves of transformative development. Today it gives humanity the most powerful tools for analyzing complex data, not only to find meaning but to learn without human intervention. In this course, you'll survey AI's history and explore ways that it can shed light on unstructured data. What you'll learn After completing this course, you should be able to: Define artificial intelligence Describe three levels of artificial intelligence Describe the history of AI from the past to the possible future Define and describe machine learning Differentiate between structured and unstructured data Describe how machine learning structures data Describe how machine learning structures unstructured data Describe how machine learning uses probabilistic calculation to solve problems Describe three methods by which machine learning analyzes data Describe an ideal relationship between humans and machine learning

Introduction to Large language models
Welcome to Introduction to Large Language Models! In this module, you'll learn what large language models are, how they work, and some typical business applications. Estimated duration 30 minutes

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