AI: Introduction and application for Engineers Training

Course Overview

This 5-day training course is tailored for engineers who are looking to gain foundational knowledge in Artificial Intelligence (AI). The course covers the basics of AI technologies, their applications in engineering, and hands-on practice with AI tools.

Objective

To provide engineers with an understanding of AI concepts, methodologies, and practical applications in various engineering domains, enabling them to integrate AI solutions into their work effectively.

Day 1: Fundamentals of AI

• Introduction to AI: Overview of AI and its significance in the modern world.
• History of AI: Tracing the evolution of AI over the years.
• AI Concepts: Understanding key AI terminologies and concepts.

Day 2: Machine Learning Basics

• Introduction to Machine Learning: Exploring the core concepts of machine learning.
• Types of Learning: Differences between supervised and unsupervised learning.
• Basic Algorithms: An overview of fundamental machine learning algorithms.

Day 3: Deep Learning and Neural Networks

• Neural Networks: Understanding the basics of neural networks.
• Deep Learning: Introduction to deep learning techniques.
• Engineering Applications: Exploring how deep learning is applied in engineering.

Day 4: AI in Practice – Engineering Applications

• AI in Robotics: Understanding the role of AI in robotics and automation.
• AI in Data Analysis: Utilizing AI for data analysis and predictive maintenance.
• Case Studies: Examining real-world applications of AI

Day 5: Hands-On AI Workshop

• AI Tools and Frameworks: Introduction to popular AI tools and frameworks.
• Building an AI Model: Steps to create a basic AI model.
• Group Project: Collaborative project to apply AI concepts, followed by presentations.