Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Introduction to Artificial Intelligence

via LinkedIn Learning

Write review
Boot.dev Ad

The Most Addictive Python and SQL Courses

Learn More → Coursera Ad

AI, Data Science & Cloud Certificates from Google, IBM & Meta

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
Get an overview of some of the latest tools and techniques in predictive and generative artificial intelligence (AI).

Syllabus

Introduction
  • Why you need to know about artificial intelligence
1. What Is Artificial Intelligence?
  • Define general intelligence
  • The general problem-solver
  • Strong vs. weak AI
2. Popular Uses for Artificial Intelligence
  • Predictive AI
  • Generative AI
3. The Rise of Machine Learning
  • Machine learning
  • Artificial neural networks
4. Common AI Systems
  • Searching for patterns in data
  • Robotics
  • Natural language processing
  • The internet of things
  • Generative systems
5. Learn from Data
  • Labeled and unlabeled data
  • Massive datasets
  • Data models
6. Identify Patterns
  • Classify data
  • Cluster data
  • Reinforcement learning
7. Machine Learning Algorithms
  • Common algorithms
  • K-nearest neighbor
  • K-means clustering
  • Regression
  • Naive Bayes
8. Fit the Algorithm
  • Select the best algorithm
  • Follow the data
  • Overfitting and underfitting
9. Artificial Neural Networks
  • Build a neural network
  • Weighing the connections
  • The activation bias
10. Improve Accuracy
  • Learning from mistakes
  • Step through the network
11. The Rise of Generative AI
  • Self-supervised learning
  • Foundation models
  • Large language models (LLM)
  • Image diffusion models
12. Generative AI Architecture
  • Generative adversarial networks (GAN)
  • Variational autoencoder (VAE)
  • Transformers
13. Ethical and Legal Challenges
  • The alignment problem
  • Decision traceability
  • Copyright challenges
  • Privacy concerns
14. Where to Go from Here
  • Using AI systems
  • Applying AI to solve problems

Taught by

Doug Rose

Reviews

4.6 rating, based on 5 Class Central reviews

4.6 rating at LinkedIn Learning based on 14395 ratings

Start your review of Introduction to Artificial Intelligence

  • Luziasilva67@yahoo.com.br
    1
    Curso importante para quem deseja seguir na carreira digital. Como mestra em educação pretendo avançar estudando e entendido como funciona a neurociência da computação com a inteligência artificial, grata pelo curso gratuito.
  • Profile image for Saniya Mulla
    Saniya Mulla
    i like it .i learn new and interesting things.I found this AI and Machine Learning course to be highly informative and well-structured. The concepts of both artificial intelligence and machine learning were explained in a clear, step-by-step manner,…
  • Profile image for Ranjith BR
    Ranjith BR
    The class was very helpful I enjoyed it and learnt more in it Thanks for everyone who are providing courses for free
  • Hérbert Caboco
    Quero antes agradecer pela oportunidade de fazer esse curso, você pode aprender o básico sobre inteligência artificial.
    Recomendo as outros alunos a fazerem esse curso também, para mais conhecimento e enriquecimento da nossa carreira.
  • Profile image for SUMESH NK
    SUMESH NK
    The course is good and effective to learn something .It is very useful for my studies.
    I get a knowledge of Artificial intelligence

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.