Course Overview
CITO104: Introduction to Artificial Intelligence (AI) is a foundational course offered by NGE Institute, aimed at providing participants with a comprehensive understanding of the principles, applications, and implications of artificial intelligence. This course is designed for IT professionals, data scientists, and business leaders seeking to leverage AI technologies to drive innovation and competitive advantage.
Course Description
In CITO104, participants will explore the core concepts of artificial intelligence, including machine learning, deep learning, natural language processing, and computer vision. Through a combination of theoretical lectures, hands-on coding exercises, and real-world case studies, students will learn how AI algorithms are developed, trained, and deployed to solve complex problems across various domains. Additionally, the course will cover ethical considerations, bias mitigation, and responsible AI practices.
Learning Outcomes
By the end of the course, participants will be able to:
- Understand the basic principles and terminology of artificial intelligence and machine learning.
- Apply supervised, unsupervised, and reinforcement learning techniques to solve real-world problems.
- Implement machine learning algorithms using popular libraries such as TensorFlow and scikit-learn.
- Develop and train deep learning models for tasks such as image classification and natural language processing.
- Evaluate AI models and interpret their predictions to make informed decisions.
- Identify ethical considerations and potential biases in AI systems and implement strategies to mitigate them.
- Demonstrate knowledge of AI applications across various industries and domains.
Requirements
- Basic understanding of computer and internet usage
- Interest in learning about digital technologies and technology platforms
- No prior technical experience required (suitable for beginners)
- Access to a computer with internet connectivity for online components
- Commitment to participate in hands-on labs and projects
Features
- Covers essential digital technologies including cloud computing, AI, blockchain, IoT, and big data.
- Practical exercises and labs to reinforce theoretical concepts.
- Courses taught by experienced professionals and industry experts.
- Case studies and projects based on current industry practices.
- Available in online, in-person, and hybrid formats to suit different schedules.
Target audiences
- Aspiring IT Professionals
- Current IT Professionals
- Business and Technology Managers
- Entrepreneurs and Start-up Founders
- Students and Graduates
- Consultants and Analysts
- Anyone Interested in Technology