- Teacher: ELIA BINTI GODOONG Ts. Dr.
Mod Kursus: PTG
Course Overview
There is no content in this section.
To add content, click on the above link ‘Edit course text’
Course Content
Loading...
Enrolment options
Self enrolment (Student)
Guests cannot access this course. Please log in.
Related Courses
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Latest Courses
Fakulti Perniagaan, Ekonomi dan Perakaunan
15 Lessons
Updated: Sep 2026
Fakulti Perniagaan, Ekonomi dan Perakaunan
15 Lessons
Updated: Sep 2026
Fakulti Perniagaan, Ekonomi dan Perakaunan
15 Lessons
Updated: Sep 2026
Fakulti Perniagaan, Ekonomi dan Perakaunan
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Fakulti Perhutanan Tropika
15 Lessons
Updated: Sep 2026
Pusat Penataran Ilmu dan Bahasa
What will you learn? This course introduces Artificial Intelligence through simple explanations, everyday examples, and practical activities. You will explore how AI works, where it is used, and how to use AI tools effectively and responsibly. No programming is required. Core Topics 🧠 Introduction to Artificial IntelligenceWhat AI means, its brief history, everyday uses, capabilities, limitations, and the importance of human judgement. 📊 Data and Its Role in AITypes of data, examples and labels, data quality, and how inaccurate information affects AI results. ⚙️ How AI Systems WorkInputs, processing, and outputs; following rules versus learning from examples; and how AI produces predictions and recommendations. 📚 Introduction to Machine LearningLearning from labelled examples, grouping similar items, and learning through actions and rewards, explained using familiar situations. 🔗 Introduction to Deep LearningThe basic idea of neural networks, learning patterns through layers, common applications, and limitations, explained visually. 💬 AI for Language and SpeechTranslation, text summarisation, speech-to-text, text-to-speech, chatbots, and common errors in language outputs. 🤖 AI for Images and Physical TasksRecognising objects, reading text from images, simple robotic applications, and common recognition errors. 🌍 AI Applications Across DisciplinesAI in education, business, tourism, arts, and public services; explaining its benefits and limitations through presentations and respectful discussions. ✍️ Using AI Tools and Writing PromptsChoosing suitable tools, writing clear instructions, specifying context and output format, and improving responses through follow-up prompts. ✅ Basic Performance Evaluation of AIChecking results, understanding accuracy through simple counts and percentages, verifying information, and reporting errors honestly while protecting privacy and acknowledging AI assistance. By the end of the course, students should be able to apply basic AI concepts to select suitable tools for everyday tasks, communicate clearly about AI applications, and show responsible AI use through information checking, privacy protection, and acknowledgement of AI assistance.
15 Lessons
Updated: Sep 2026