| Outcomes |
- By the end of this course, learners will be able to: Understand Core AI Concepts Explain key principles of Artificial Intelligence, including machine learning, neural networks, natural language processing, and computer vision.
- Identify Real-World Applications Recognize how AI is applied across industries such as healthcare, finance, education, and transportation.
- Analyze and Solve Problems Using AI Apply AI techniques to simple problem-solving scenarios and explore how machines can learn from data.
- Work with Basic AI Tools and Frameworks Gain hands-on experience with beginner-friendly AI tools and platforms, including basic Python programming (if applicable).
- Evaluate the Ethical and Social Implications of AI Reflect on important issues such as AI bias, privacy, automation, and the impact of intelligent systems on society.
- Prepare for Further Learning or Career Paths Build a solid foundation to pursue advanced AI courses, research, or entry-level roles in data science, machine learning, or related fields.
|
|
|
| Requirements |
- To get the most out of this Artificial Intelligence course, we recommend the following: Basic Computer Literacy Familiarity with using a computer, browsing the internet, and using common software tools
- Foundational Math Skills A basic understanding of high school-level mathematics, especially algebra and probability, will be helpful when learning about algorithms and data analysis.
- Interest in Technology and Problem-Solving A curious mindset and willingness to explore how intelligent systems work in real life.
- Optional: Basic Programming Knowledge While not mandatory, familiarity with a programming language like Python can enhance your learning experience. Beginner-friendly tutorials will be provided for those new to coding.
|
|
|
0 