Artificial Intelligence and Machine Learning
This artificial intelligence course is an exploratory guide that demystifies AI and its practical implications for business advantage. You will delve into diverse applications of AI, machine learning, predictive modeling, and data science; explore network effects and platform strategies; and learn how to build an AI factory that enables your company to compete successfully in existing and new markets.
By the end of the course, learners will have achieved the following learning objectives:
- Understand the definition of artificial intelligence.
- Recall the history of artificial intelligence.
- Understand the applications of artificial intelligence.
- Describe the goals, paradigms and types of artificial intelligence.
- Describe ethical concerns surrounding artificial intelligence systems.
- The course is suitable for either beginners or people with limited experience with basic Data Analysis tools such as Microsoft Excel.
- Participants should also have experience with using the Windows environment to launch programs, access, save, open and close files.
- A laptop with at least 4GHz processing power
- Internet
- In-Person Workshops
- Practice Exercises
- Daily Projects
- Capstone Project Presentations
- Technical Support
Duration | Content Details |
Day 1 |
Session 1: Introduction to Artificial Intelligence
Session 2: State-Space Problem Representations |
Day 2 |
Session 3: Programming and Data Analysis Fundamentals
Session 4: Mini-project |
Day3 |
Session 5: Statistical Data Analysis Fundamentals
Session 6: Capstone Project Presentations |