Introduction to Artificial Intelligence
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Description
This course offers a high-level overview of artificial intelligence, making it accessible to non-technical professionals like project managers, product managers, directors, and executives. It simplifies complex concepts in machine learning, artificial neural networks, and deep learning, helping learners understand how AI can enhance their products, life, and career. The course also provides insights into the top tools in the field, making it a valuable resource for anyone interested in AI.
Learning Objectives
- Distinguishing between symbolic systems and machine learning.
- Identifying challenges in natural language processing.
- Defining types of machine learning.
- Understanding the role of algorithms in machine learning.
- Determining when to use artificial intelligence.
- Reviewing AI and ML differences impacting business decisions.
- Understanding data and big data phenomena.
- Learning about web technologies, cloud computing, and databases.
- Gaining insights into the data science process.
- Familiarizing with data science tools.
- Learning data cleaning and publishing techniques.
- Practicing data wrangling.
- Understanding data visualization principles.
- Exploring relational data visualization techniques.
- Using data visualization tools.
- Evaluating understanding of course material.