GenAI for Everyone: Understand the Basics
Completed by Jeron Derrick Nuñez on August 13, 2025
Verified learner ·
Badge ID: RqJjjQUbQleiY40FG8JXxw
About this Badge
GenAI for Everyone: Understand the Basics is one of the 5 learning paths of Generative Artificial Intelligence for Everyone Academy of Science & Technology Track in the ASEAN Online Education Platform for Industry 4.0, developed by ASU and sponsored by the U.S. – ASEAN Center. You need to complete all courses in ONE learning path to receive the certificate of completion from the U.S.-ASEAN Center. Following a learning path will also earn you an achievement badge upon completion.
Learning objectives
- Develop proficiency in using generative AI tools and large language models for real-world applications, including prompt engineering and ethical deployment strategies.
- Analyze the societal and economic impacts of generative AI, understanding its implications for authorship, regulation, and workforce transformation.
- Apply generative AI techniques to enhance productivity and creativity in various domains, such as text, image, audio, and video processing.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Applied Machine Learning
- Productivity Software
- Artificial Neural Networks
- Ethical Standards And Conduct
- Computer Security Awareness Training
- Open Source Technology
- Law, Regulation, and Compliance
- Human Centered Design
- Google Cloud Platform
- Large Language Modeling
- Natural Language Processing
- Emerging Technologies
- Content Creation
- Social Sciences
- Application Deployment
- Artificial Intelligence
- Operational Efficiency
- Creative Thinking
- Intellectual Property
- Problem Solving
- Virtual Environment
- Information Privacy
- Generative AI
- Performance Metric
- Performance Tuning
- Software Development Tools
- Microsoft Excel
- Reinforcement Learning
- Deep Learning
- Employee Training
- Image Analysis
- Data Presentation
- Technical Communication
- Prompt Engineering
- Machine Learning
- Brainstorming
- Innovation
- Productivity
- ChatGPT
- Creativity
- Economics
- Tensorflow
- Collaboration
- Containerization
- Scalability
- Socioeconomics
- Program Development
- Application Development
- Data Ethics
- Document Management
- File Management
- Test Data
- Automation
- Information Management
- Data Analysis
- PyTorch (Machine Learning Library)
- Command-Line Interface
- Application Programming Interface (API)
Learning content completed
Some of the content and skills presented have been contributed by the content provider.