IBM Skillsbuild is offering Artificial Intelligence courses for free! Interested participants checkout the details below.
About IBM Skillsbuild
IBM SkillsBuild is a free education program focused on underrepresented communities that helps adult learners, high school and university students, and faculty develop valuable new skills and access career opportunities.
The program includes an online platform complemented by customized practical learning experiences that aim to respond to learners’ needs as they progress through their education and career journeys. This effort is in collaboration with a network of world-class education partners, including public high schools, non-profit organizations, governments, and corporations.
Most importantly, IBM Skillsbuild learners can earn IBM-branded digital credentials recognized by the market. Digital credentials from IBM Skillsbuild are secure, web-enabled credentials that contain granular, verified information that employers can use to validate an individual’s potential.
About the Course
Artificial intelligence, or AI, is the ability of a machine to perform cognitive functions that are associated with human minds, such as perceiving, reasoning, learning, and problem solving. Artificial intelligence allows machines to model, or even improve upon, the capabilities of the human mind. And from the development of self-driving cars to the proliferation of generative AI tools like ChatGPT and Google’s Bard, AI is increasingly becoming part of everyday life and an area companies across every industry are investing in.
Artificial Intelligence by IBM Skillsbuild is a great way to learn about the basics of AI. The course is well-structured and easy to follow, and the hands-on exercises are a great way to solidify your understanding of the material. If you are interested in learning about AI, It is highly recommended taking the IBM course Artificial Intelligence by IBM Skillsbuild. It is a great way to get started with AI and learn the skills you need to succeed in this rapidly growing field.
After completing the course, 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
Eligibility
The course doesn’t have any eligibility criteria. All enthusiastic learners can sign up.
Timeline
The course is self-paced. There are no deadlines and requirements
How to Apply?
Interested candidates can apply directly via this link.
