dLearn
dLearn

Introduction to Artificial Intelligence

  1. Home
  2. Introduction to Artificial Intelligence
W
web3
/
April 5, 2023

Introduction to Artificial Intelligence

00
0 Enrolled
Data Science

The Introduction to Artificial Intelligence course provides an overview of AI concepts and applications, including machine learning, natural language processing, and computer vision. Students will learn how AI is being used in various industries and how to apply AI techniques in their own projects.

What Will I Learn?

  • AI basics and applications
  • Supervised and unsupervised learning
  • Text and speech processing
  • Object detection and recognition
  • Implementing AI in business
  • Ethics and societal impact of AI
  • Types of machine learning algorithms
  • AI programming languages
  • Designing AI systems
  • AI career opportunities
Course Curriculum
Introduction to AI
This unit provides an overview of artificial intelligence and its history. Students will learn about the different types of AI and its current and potential applications.
  • 1.1 What is Artificial Intelligence?
  • 1.2 Brief history of AI
  • 1.3 Types of AI
  • 1.4 Applications of AI
Machine Learning Fundamentals
This unit covers the basics of machine learning, including supervised and unsupervised learning, and the different types of machine learning algorithms.
  • 2.1 Introduction to Machine Learning
  • 2.2 Supervised Learning
  • 2.3 Unsupervised Learning
  • 2.4 Deep Learning
  • 2.5 Types of Machine Learning Algorithms
Natural Language Processing
Students will learn about text and speech processing techniques and how to use them in their own projects.
  • 3.1 What is Natural Language Processing?
  • 3.2 Text Preprocessing
  • 3.3 Word Embeddings
  • 3.4 Sentiment Analysis
  • 3.5 Speech Recognition
Computer Vision
In this unit, students will learn about computer vision and its applications. They will explore the different techniques for object detection and recognition and how to use them in real-world scenarios.
  • 4.1 What is Computer Vision?
  • 4.2 Image Processing Techniques
  • 4.3 Object Detection and Recognition
  • 4.4 Semantic Segmentation
AI in Practice
Students will learn about the challenges of implementing AI systems and best practices for success.
  • 5.1 AI in Healthcare
  • 5.2 AI in Finance
  • 5.3 AI in Retail
  • 5.4 Challenges of Implementing AI Systems
  • 5.5 Best Practices for Successful AI Implementations
Future of AI
The final unit explores the future of AI and its potential impact on society. Students will learn about ethical considerations and the potential for AI to shape the future of work and industry.
  • 6.1 Ethical Considerations in AI
  • 6.2 AI and the Future of Work
  • 6.3 AI and Industry 4.0
  • 6.4 The Rise of Explainable AI
  • 6.5 The Future of AI
$550.00

Material Includes

  • The course includes video lectures, reading materials, coding exercises, and quizzes.
Durations: 55 hours
Lectures: 28
Students: Max 50
Level: Beginner
Language: English
Certificate: No

Material Includes

  • The course includes video lectures, reading materials, coding exercises, and quizzes.

Requirements

  • No prior knowledge of AI is required, but some programming experience is helpful. Students will need a computer with internet access and software for coding in Python. The course is hosted on an online learning platform, and students will need to create an account to enroll.

Audience

  • This course is ideal for anyone interested in learning about AI, including students, professionals, and entrepreneurs.