Pre-summit training

Artificial Intelligence And Machine Learning - Moringa

Course Overview

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.

Learning Outcomes

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.
Pre-Requisites
• 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.
Course Requirements
• A laptop with at least 4GHz processing power
• Internet
Delivery
• In-Person Workshops
• Practice Exercises
• Daily Projects
• Capstone Project Presentations
• Technical Support

Course Outline

Duration	Content Details
Day 1	Session 1: Introduction to Artificial Intelligence Overview of AI & ML History, Ethics and Case Studies Intelligent Agents Search, Games, Logic and Constraint Satisfaction Problems Session 2: State-Space Problem Representations
Day 2	Session 3: Programming and Data Analysis Fundamentals Python Basics for Data Science Data Wrangling Techniques Data Analysis and Reporting Session 4: Mini-project
Day3	Session 5: Statistical Data Analysis Fundamentals Introduction to data visualization with python Statistical Data Analysis Sampling techniques Session 6: Capstone Project Presentations