Welcome to Artificial Intelligence
Artificial intelligence (AI) is the ability of a machine or computer system to copy human intelligence processes, learn from experiences, adapt to new information and perform human-like activities. Specific applications of AI include expert systems, natural language processing (NLP), speech recognition and machine vision.
AI is a wide field of study – incorporating various technologies, methods and theories – that focuses on combining large amounts of data with defined rules and fast, repetitive processing. This enables the software to advance and improve its ability to complete tasks by recognizing patterns and features in the data sets.
Self-driving cars and computers that play chess are two examples of machines with artificial intelligence. In addition, a variety of industries have begun using AI to improve their work processes – such as healthcare, manufacturing, banking and retail. In addition, AI is finding multiple beneficial uses in cybersecurity.
Source: TechTarget
Possible Roles
How To
- How to Build Your Career in AI
- AI Expert Roadmap
- What Is an AI Engineer?
- What Is a Machine Learning Engineer?
- Guide to a Robotics Engineering Career
Professional Certifications
- ARTiBA Artificial Intelligence Engineer
- IABAC Artificial Intelligence Certifications
- Fundamentals of Google AI for Web Based Machine Learning Professional Certificate
- IBM Foundations of AI Professional Certificate
- IBM Applied AI Professional Certificate
- IBM AI Engineering Professional Certificate
- IBM AI Developer Professional Certificate
- IBM Generative AI Engineering Professional Certificate
- IBM Machine Learning Professional Certificate
- IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate
- Databricks Large Language Models Professional Certificate
Online Communities
Blogs
- Medium - Artificial intelligence
- Top Artificial Intelligence Websites And Blogs For AI Enthusiast
- Top Machine Learning Blogs, Websites & Influencers
Resources Collections
Learning Resources
Important Note: all learning resources available here are free. If you found any learning resource that requires a fee or the URL is broken/wrong, please inform us. Regarding the MOOCs that are bundled as a specialization track with a fee (e.g. coursera’s specializations and edx’s xseries programs), you can look for each individual course and take it for free (Audit option).
Foundation
MOOCs
Websites
- What is Artificial Intelligence and Why Gain a Certification in This Domain
- AI Career Pathways: Put Yourself on the Right Track
Beginner
MOOCs
Websites
Intermediate
MOOCs
- CS50’s Introduction to Artificial Intelligence with Python
- Machine Learning Crash Course
- Introduction to Machine Learning for Coders
- Generative AI Engineering with LLMs
- Artificial Intelligence for Robotics
Websites
Advanced
MOOCs
- Machine Learning Engineering for Production (MLOps)
- Practical Deep Learning For Coders
- A Code-First Introduction to Natural Language Processing