IBM Skills Build | Artificial Intelligence Fundamentals | 10 hours study

Sarah Ennett; “I’ve completed just over half of the first course in this learning path so far. It’s structured really well and has lots of inbuilt questions to keep your interest and interactivity as you go along. There are only a few videos, so it is better suited for those who prefer to read than watch or listen. I am going to keep working through the course in my spare time as you get a digital credential at the end which will look great on my CV!”

From the Artificial Intelligence Fundamentals learning path page;

Does artificial intelligence (AI) spark your interest? Here’s your chance to visualize yourself in an AI career! You’ll explore AI’s history, then see how it can change the world. Along the way, you’ll deep dive into ways that AI makes predictions, understands language and images, and learns using circuits inspired by the human brain. After a hands-on simulation in which you build and test a machine learning model, you’ll finish with tips on how to find your own career in artificial intelligence. 
  
Complete the following required courses to earn an industry-recognized IBM SkillsBuild digital credential called Artificial Intelligence Fundamentals: 

  1. Introduction to Artificial Intelligence
  2. Natural Language Processing and Computer Vision
  3. Machine Learning and Deep Learning
  4. Run AI Models with IBM Watson Studio
  5. AI Ethics
  6. Your Future in AI: The Job Landscape

What you’ll learn 
After completing Artificial Intelligence Fundamentals, 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
  • Explain how AI understands human language
  • Explain how AI analyzes and creates images
  • Describe three ways that AI analyzes data
  • Describe how AI makes predictions using neural networks
  • Explain generative AI and the impact in today’s world
  • Create an AI machine learning model using IBM Watson Studio
  • Describe ways that AI systems can be designed to minimize bias
  • Recognize the AI job market, responsibilities and skill sets of an AI professional, hand resources and learning opportunities to explore

  
The knowledge and skills in these courses build on each other, so SkillsBuild recommends that you complete the courses in the order in which they are presented.