Course Information
Course Overview
Course overview
Up to 80 hours of learning content with an exciting blend of theory and practical activities, this short course has been designed with
flexibility in mind as a working professional of entry level graduate. The course structure can be tailored to meet the needs of learning cohorts:
Overview
The Short Course in Artificial Intelligence (AI) short course will provide learners with the foundation and branches of Artificial Intelligence, such as search strategies, knowledge representation and reasoning techniques. This course will also introduce a range of well-known techniques and applications in artificial intelligence, such as fuzzy logic machine learning, expert systems, natural language processing, and intelligent agents.
Learning outcomes
- Understand the importance of AI and its applications.
- Apply a range of well-established AI search strategies and knowledge representation techniques in problem solving.
- Assess a range of well-established techniques for reasoning with uncertain knowledge.
- Understand a range of machine learning techniques.
- Implement and evaluate a range of AI models and techniques for solving realworld problems.
Potential AI career paths
- AI Architect
- Business Intelligence Developer
- Big Data Engineer
- Data Scientist
- Machine Learning Engineer
What You’ll Learn
Topics
- Introduction to AI
- Problem Solving Using Search
- Knowledge Representation
- Uncertain Knowledge
- Fuzzy Logic
- Machine Learning
- Neural Networks
- Decision Trees
- Genetic Algorithms
- Expert Systems
- Natural Language Processing
- Intelligent Agents