Course Overview
An introduction to artificial intelligence is provided in this course (AI), an area that is developing quickly and is increasingly important for the survival of businesses, the stability of employment, and a country's security.
Audience Profile
The Artificial Intelligence Fundamentals Certificate is intended for:
A wide-range of individuals, including:
Current IT Professionals looking to upskill to broaden their IT knowledge and skills or keep up-to-date with emerging technologies.
IT Audit, risk, security and governance professionals looking to gain a fundamental understanding of emerging technology knowledge and skills.
Those new to IT, students, recent graduates and career changers looking to differentiate themselves from other job candidates.
Learning Objectives
- Explaining the basic characteristics that define AI
- Explaining what machine learning is and how it applies to AI
- Describing what robotic process automation is and how it differs from AI
- Explaining statistical sampling populations, methods, statistical modelling, regression and how they apply to AI
- Listing the considerations for adopting AI
- Listing the different data governance roles and considerations
- Explaining the specific impacts AI including potential risks and ethical considerations
Content Outline
- Properties of Artificial Intelligence
- Condensed version
- Resource Requirements for Adopting AI
- Expert Systems
- Machine Learning Models
- Statistical Modelling
- Machine Learning Algorithms
- Enterprise Usage of Artificial Intelligence
- Consumer Usage of Artificial Intelligence
- Risks Associated with Artificial Intelligence
- Ethics in Artificial Intelligence
FAQs
Learning, reasoning, problem-solving, perception, and language understanding are thus the five fundamental elements of artificial intelligence.
Numerous new findings and advancements are being made, the most of which can be categorised into the following four groups: reactive machines, restricted memory, theory of mind, and self-aware AI.
Artificial intelligence is a technique for teaching a computer, a robot operated by a computer, or software to think critically and creatively like a human mind. AI is achieved through examining the cognitive process and researching the patterns of the human brain. These studies' findings lead to the creation of intelligent systems and software.
Below are the various types of AI:
1. Purely Reactive
These machines, which specialise on a single line of work, have no memory or data to work with. For instance, when playing chess, the computer watches the moves and chooses the move that will give it the best chance of winning.
2. Limited Memory
These machines collect previous data and continue adding it to their memory. They have enough memory or experience to make proper decisions, but memory is minimal. For example, this machine can suggest a restaurant based on the location data that has been gathered.
3. Theory of Mind
This kind of AI can understand thoughts and emotions, as well as interact socially. However, a machine based on this type is yet to be built.
4. Self-Aware
Self-aware machines are the future generation of these new technologies. They will be intelligent, sentient, and conscious.
A: To attend the training session you should have an operational Desktops or Laptops with required specification along with good internet connection to access the labs.
A: We would always recommend you to attend the live session to practice & clarify the doubts instantly and get more value from your investment. However, if due to some contingency if you have to skip the class Radiant Techlearning would help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.
A: Radiant Techlearning has a data center containing the Virtual Training environment for the purpose of participant’s hand-on-practice.
Participants can easily access these labs over Cloud with the help of remote desktop connection.
Radiant virtual labs provides you the flexibility to learn from anywhere in the world and in any time zone.
A: The learners will be enthralled as we engage them the real world and industry Oriented projects during the training program. These projects will improve your skills and knowledge and you will gain better experience. These real time projects, they will help you a lot in your future tasks and assignments