Introduction to Artificial Intelligence - AI: Essentials
This artificial intelligence basics self paced training program is designed to offer an overview of AI concepts & workflows, along with the fundamentals of machine learning and deep learning.
Learn AI along by working on specific use cases & learn the difference between supervised, unsupervised, & reinforcement learning. This free course on AI is an ideal kickstart for anyone looking to become an AI engineer.
About this Course
This introductory, self paced training course on Artificial Intelligence offers a deep dive into the basics of AI. It covers fundamental concepts of Artificial Intelligence, machine learning, machine learning algorithms, neural networks and natural language processing (NLP). This course is a blend of both theory and hands-on experience, helping learners to understand how AI is transforming industries and providing them with the skills to apply AI concepts in real-world scenarios.
Topics Covered:
- AI Foundations and Applications: Learn the history, core concepts, and applications of AI in various industries.
- Machine Learning Basics: Understand supervised, unsupervised learning, machine learning algorithms, and how machines learn from data to make predictions.
- Neural Networks & Deep Learning: Explore how neural networks mimic the human brain to process complex data.
- Natural Language Processing (NLP): Discover how Artificial Intelligence enables machines to process human language.
Outline
Lesson 00 - Course Introduction
Lesson 01 - Decoding Artificial Intelligence
Lesson 02 - Fundamentals of Machine Learning and Deep Learning
Lesson 03 - Machine Learning Workflow
Lesson 04 - Performance Metrics
Prerequisites
None
Exam Pass Guarantee
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PMP Certification Training, Lombard, 2008
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