Do you want to learn Artificial Intelligence from scratch? Here we listed Artificial Intelligence tutorials which will help you learn Artificial Intelligence from scratch, and are suitable for beginners, intermediate learners as well as experts.
Introduction to AI for Business
What you’ll learn
- Participants will have an overview of what predictive data analytics are, which AI software are available and how can they improve the business performance and how Microsoft is using this technology.
Duration: 9hr 30min Rating: 3.9 (588 ratings) out of 5 Trainer: Zigurat Innovation & Technology Business School URL: https://www.udemy.com/course/introduction-to-ai-for-business/
Introduction to Artificial Intelligence in Software Testing
What you’ll learn
- You will learn what is Artificial Intelligence (AI) and what is the relationship of AI with Machine Learning and Deep Learning.
- You will also learn how AI test automation tool uses machine learning to speed-up the authoring, execution and maintenance of automated tests.
Duration: 30min Rating: 4.0 (665 ratings) out of 5 Trainer: Sujal Patel URL: https://www.udemy.com/course/introduction-to-artificial-intelligence-in-software-testing/
Artificial Intelligence Markup Language (AIML)
What you’ll learn
- How to use AIML (Artificial Intelligence Markup Language) to create your own chatbot
Duration: 3hr 42min Rating: 4.4 (424 ratings) out of 5 Trainer: Steve Worswick URL: https://www.udemy.com/course/artificial-intelligence-markup-language/
Kickstart Artificial Intelligence
What you’ll learn
- Students will be able to apply Artificial Intelligence in real world tasks and will be able to build fully functioning AI solutions on their own.
Duration: 3hr 5min Rating: 4.1 (206 ratings) out of 5 Trainer: Kashyap Murali URL: https://www.udemy.com/course/kickstart-ai/
Introduction to Artificial Intelligence (AI)
What you’ll learn
- Understand what is AI, its applications and use cases and how it is transforming our lives
- Explain terms like Machine Learning, Deep Learning and Neural Networks
- Describe several issues and ethical concerns surrounding AI
- Articulate advice from experts about learning and starting a career in AI
Duration: 10 hours Rating: 4.7 (2,229 ratings) out of 5 Trainer: Rav Ahuja URL: https://www.coursera.org/learn/introduction-to-ai
IBM AI Engineering Professional Certificate
What you’ll learn
- You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning.
- You will be able to scale Machine Learning on Big Data using Apache Spark.
- You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders
Duration: 30 hours Rating: 4.8 (8,448 ratings) out of 5 Trainer: SAEED AGHABOZORGI, Joseph Santarcangelo, Romeo Kienzler, Alex Aklson URL: https://www.coursera.org/professional-certificates/ai-engineer
AI For Everyone
What you’ll learn
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can–and cannot–do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI
Duration: 10 hours Rating: 4.8 (9,272 ratings) out of 5 Trainer: Andrew Ng URL: https://www.coursera.org/learn/ai-for-everyone
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
What you’ll learn
- Learn best practices for using TensorFlow, a popular open-source machine learning framework
- Build a basic neural network in TensorFlow
- Train a neural network for a computer vision application
- Understand how to use convolutions to improve your neural network
Duration: 12 hours Rating: 4.7 (6,652 ratings) out of 5 Trainer: Laurence Moroney URL: https://www.coursera.org/learn/introduction-tensorflow
