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Course Name

Ai Essentials Certificate

Overview

Dive into the world of Artificial intelligence. The AI Essentials Certificate Course is designed to provide a comprehensive introduction to the fundamental concepts and methodologies in artificial intelligence (AI). This course is ideal for beginners who wish to gain a foundational understanding of AI, as well as for professionals seeking to enhance their knowledge and skills in this rapidly evolving field. Through a blend of theoretical knowledge and practical applications, participants will explore the core principles of AI and its various subfields, equipping them with the essential tools and terminologies to navigate the AI landscape effectively.

 

Learning Outcomes

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

1. Understand and articulate the basic concepts and terminologies in AI.
2. Implement various search algorithms and understand their applications.
3. Identify different types of machine learning problems and apply appropriate solutions.
4. Follow the machine learning methodology to build and evaluate models.
5. Apply supervised learning techniques to solve classification and regression problems.
6. Utilize regression models and understand their significance in predictive analytics.
7. Explore unsupervised learning methods and their applications in clustering and dimensionality reduction.
8. Gain a foundational understanding of deep learning and its practical applications.
9. Utilize AI tools and programming languages to develop and deploy AI models.

Prerequisites

None

Teaching Methodology

In this course, participants will actively participate in lecture sessions together with class discussions, and other teaching methodologies including practice techniques.

Target Audience

This course is tailored to accommodate learners from different backgrounds, whether in healthcare , education, law , finance or other industries, ensuring that they acquire a robust understanding of AI principles and practices.

Duration

Two sessions of 2 hours per week. 12 sessions thus a total number of 24 hours.