AI Fundamentals: Language and Vision in AI
Issued by
IBM SkillsBuild
This credential earner demonstrates applied knowledge of artificial intelligence in real-world contexts. The individual can explain how AI processes language and images, distinguish between automation and intelligent agents, and recognize AI’s role across industries. The earner can evaluate ethical implications, apply AI tools effectively, and plan a personalized learning path for future AI opportunities.
- Type Learning
- Level Intermediate
- Time Days
- Cost Free
Skills
- Agentic AI
- AI Career Planning
- AI Content Creation
- AI Ethics
- AI Tool Use
- Artificial Intelligence (AI)
- Bias Mitigation and Privacy
- Career Management
- Computer Vision
- Conversational AI
- Data Analysis with AI
- Generative AI Image Creation
- Goal-Oriented Planning
- Image Classification
- Large Language Models (LLMs)
- Model Optimization
- Model Training
- Natural Language Processing (NLP)
- Natural Language Querying
- PWID-B1043600
- Real-Time Image Processing
- Real-world AI Applications
Earning Criteria
-
Complete AI Fundamentals: Language and Vision in AI, a prescribed set of modules designed by IBM.
-
Pass the end-of-module quizzes with a score of 80% or higher.
-
This digital credential is available to registered users of IBM SkillsBuild: