Description
AI 101: Introduction to AI and Machine Learning – 1st Course. This course is an accessible and comprehensive gateway to the world of artificial intelligence, designed for everyone from beginners to experts. With 97% of employers expected to require basic AI literacy by 2026, this course goes beyond the headlines and provides a solid foundation for understanding the technology. Complex concepts are taught in structured modules with simple language and concrete real-world examples by instructor Gregory Farr, and no technical prerequisites are required. The seven-part learning path starts with the basics and progresses to advanced applications and career opportunities. Each lesson is concise and focuses on a key concept to facilitate systematic understanding. By the end of the course, participants will be able to understand and discuss AI topics, assess its impact on their field, make informed decisions about further specialized learning, and navigate the dynamic landscape of the technology. This course is a solid foundation for professionals, students, and the curious who want to understand the driving force of the future.
What you will learn
- Understanding the basics of artificial intelligence:
- Learn what artificial intelligence is, why it matters, and debunk the myths surrounding it.
- A clear understanding of the basics of artificial intelligence and machine learning.
- Learn about different types of artificial intelligence.
- Types of learning approaches:
- Understanding different learning approaches (Supervised, Unsupervised and Reinforcement Learning).
- Explain how artificial intelligence systems learn.
- Learn how different types of artificial intelligence are designed, created, and trained.
- Core technologies and infrastructure:
- Gain knowledge about core technologies including Neural Networks and Deep Learning.
- Learning about the hardware on which AI runs.
- Understanding AI infrastructure, data centers, and computing needs.
- Modern applications of artificial intelligence:
- Comprehensive coverage of modern AI applications such as Large Language Models (LLMs), Computer Vision, and Natural Language Processing, as well as applications such as ChatGPT and other LLMs.
- Investigating real-world applications in various industries including agriculture, manufacturing, and government sectors.
- Career paths:
- Explore different AI career paths, both technical and support roles.
- Learn about recommended advanced training.
This course is suitable for people who:
- Anyone who simply wants to learn what artificial intelligence is, how it is created, how it is used, and the basics of its technology.
- People who even just want to prepare for using AI. This course will help them understand what it is and what it is not.
- Individuals looking for a solid foundation to participate in more advanced training and decide on their future path in AI.
Course details
- Publisher: Udemy
- Instructor: Gregory Pharr
- Training level: Beginner to advanced
- Training duration: 2 hours and 1 minute
- Number of lessons: 28
Course headings
Prerequisites for AI 101: Introduction to AI and Machine Learning – 1st Course
- No prior experience needed. This course is designed to build a solid foundation for anyone new to AI
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.6 GB
