Benih AI Program
This program is tailored for secondary school students with an aim to create awareness and general understanding of AI concept and its application particularly to spark interest in STEM.
Career talks, competition, etc
- 8 Modules
- 14 Days
The
Modules
Level 1 - AI Explorer
- Git & GitHub
- 2 Days
Learn the basics of version control with Git and collaborate on coding projects through GitHub. This module helps beginners grasp essential tools for AI development workflows.
- AI & Its Applications
- 2 Days
Explore the wide-ranging applications of AI across industries, from healthcare to finance. Gain a foundational understanding of how AI is transforming modern technologies.
Level 2 - Responsible AI Innovator
- Responsible AI
- 1 Day
Understand the ethical implications of AI and how to build fair, transparent, and accountable AI systems. This course emphasizes the importance of creating AI solutions that prioritize human values.
- Generative AI
- 1 Day
Dive into the world of generative AI, exploring models like GANs and transformers. Learn how AI can create new data, from images to text, and revolutionize industries like art and content creation.
Level 3 - Robotics Explorer
- Robotics
- 3 Days
Explore the fundamentals of robotics, including AI-powered automation and robot control systems. This module covers how AI enables robots to navigate and interact with the physical world.
Level 4 - Data Science & ML
- Data Science
- 2 Days
Learn how to extract meaningful insights from data using statistical analysis and visualization techniques. This course introduces you to data manipulation and storytelling with data.
- Machine Learning
- 3 Days
Understand the core concepts of machine learning, from supervised learning to unsupervised techniques. Build models that can predict outcomes and solve complex problems with data.
Level 5 - Deep Learning
- Deep Learning
- 3 Days
Master deep learning techniques such as neural networks, CNNs, and RNNs. This advanced course covers how to build models capable of solving highly complex problems, from image recognition to language processing.
Expected Outcomes
- Spark interest in STEM with AI
- Awareness & understanding of AI concepts & applications
- Ethical and responsible AI usage