What is Artificial Intelligence?
Before we go on to talk anything about Artificial Intelligence (AI), let us first learn what exactly is AI. How does it relate to machine learning and deep learning? Simply put, Artificial Intelligence can be understood as technology that replicates human behaviour – a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Many of these Artificial Intelligence systems are powered by machine learning and some are powered by deep learning in virtually every sector of the tech industry.
Artificial intelligence generally falls under two broad categories:
Narrow Artificial Intelligence (AI): Siri, Cortana, and Google Assistant are all examples of narrow AI, as they operate within a limited pre-defined range of functions. This kind of artificial intelligence operates within a limited context and is a simulation of human intelligence. Narrow AI is often focused on performing a single task extremely well.
Artificial General/ Strong Intelligence (AGI): This is the kind of artificial intelligence we see in the movies, like the robots AGI is a machine with general intelligence and, much like a human being, it can apply that intelligence to solve any problem.
Domains which are targeting Artificial Intelligence are mentioned below:
Medicine: including interpretation of medical images, diagnosis, expert systems to aid GPs, monitoring, and control in intensive care units, the design of prosthetics, a design of drugs.
Robotics: including vision, motor control, learning, planning, linguistic communication, cooperative behavior.
Engineering: fault diagnosis, intelligent control systems, intelligent manufacturing systems, intelligent design aids, integrated systems
Information Management: this includes the use of AI in data mining, web crawling, email filtering, etc.
Space: control of space vehicles and autonomous robots too far from earth to be directly manipulated by humans on earth, because of transmission delays. Nasa uses AI to help plan and schedule space shuttle maintenance.
Military Activities: this may be the area in which most funds have been spent. It is also not easy to learn about the details.
Marketing: AI is being used to develop more targeted, relevant, and timely marketing programs to increase customer attrition rates.
ARTIFICIAL INTELLIGENCE EXAMPLES
- Smart assistants (like Siri and Alexa)
- Disease mapping and prediction tools
- Manufacturing and drone robots
- Optimized, personalized healthcare treatment recommendations
- Conversational bots for marketing and customer service
- Robo-advisors for stock trading
- Spam filters on email
- Social media monitoring tools for dangerous content or false news
- Song or TV show recommendations from Spotify and Netflix
- Advantages of Artificial Intelligence (AI)
- 24/7 Availability
- Day to Day Applications
- Digital Assistance
-Handling Repetitive jobs
- Medical Applications
- Error Reduction
Artificial Intelligence (AI) & Machine Learning (ML) at IT Simplified
The prospects for AI in various industries are truly mindboggling as we have understood by now. We, thus, deemed it very important to conduct courses that teach the fundamentals as well advanced concepts of AI in depth, and how complex real-world problems are being solved with applications of intelligence (AI) & Machine Learning. This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
Through our courses, students learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems. They are also able to understand the concept of Machine Learning along with the advance Models, Perceptron, Decision trees & Markov Decision Processes.
- Machine Learning
- Deep Learning with Tensor Flow
- Artificial Intelligence Engineer
- Introduction to Artificial Intelligence
- Introduction to Robotic Process Automation (RPA)
- RPA Training using UiPath
- Automation Anywhere: Advance RPA Professional
- AI Capstone Project
Pricing: 1,000,000 Frw
Duration: 24 Weeks