Duration :30 hours

Course description

This course is designed for data analysts and professionals looking to upskill in the field of Data Science and AI.

It’s suited for those with a technical background, aiming to deepen their expertise in advanced Machine Learning algorithms and Deep Learning models at a foundational level.

Prerequisites or prior knowledge:

CTD Course of “Applied Data Analytics with AI” and basic knowledge of programming in Python.

Teaching & learning activities

The lecture material also contains short quizzes/trivia to ensure a solid understanding of the underlying material. Furthermore, periodic assignments are integrated into the syllabus to allow students to apply their knowledge in practical scenarios as the course progresses.

Group discussions and pair work will be a routine component of the lectures conducted, followed by question periods with the teacher to clarify main concepts.

The course culminates in a comprehensive capstone project, where participants in small groups will solve a data science problem from start to finish.

Learning objectives

By the end of this course, students will be able to:

• Implement and evaluate foundational machine learning algorithms
• Utilize advanced techniques like Neural Networks & LLMs for complex use cases
• Integrate learnings into professional roles for data-driven decision-making

Course materials

• Computer and headset