What is artificial intelligence? It means that many of the human skills, like learning, thinking, reasoning, problem-solving and decision-making, can be done by the computer system. At the end of this article, you can gain a full summary of this concept simply and clearly. How to learn an Artificial Intelligence system? This process is complicated and involves creating algorithms and data. They learn from the data, and it can recognise patterns and make predictions.
How do I learn Artificial Intelligence?
If you like to learn AI, keep your mind on the essential things. There are three types of artificial intelligence theories,
- Narrow artificial intelligence
- General artificial intelligence
- Superintelligent artificial intelligence
- Narrow artificial intelligence
It is known as weak AI, and this is created for a limited range or specific task. Narrow artificial intelligence is currently the most popular form of AI. Look at that chart for more details:
| Application | Examples |
| Voice Assistance | · Siri (Apple) · Alexa (Amazon) · Google Assistant |
| Recommendation Systems | · Netflix video suggesting · Amazon is showing preferred products · Spotify generate the playlist |
| Autopilot in Cars and Planes | · Commercial aircraft systems · Tesla Autopilot |
| Chatbots | · Customer support · Facebook Messenger bots |
| Facial Recognition | · Face unlock · Security cameras identifying |
- General artificial intelligence
It is known as Strong AI. It is equal to a human brain’s intelligence level and ability intellectual task to perform as a human. The main purpose of this AI, to do a specific task, learn and adapt to the current position.
Real world example: IBM Watson Assistant and expert systems
- Superintelligent artificial intelligence
This is a hypothetical AI system and exceeds human intelligence in all aspects(Smarter than any human). This also includes problem-solving skills, social skills, general wisdom, creativity, and emotional understanding. Able to solve critical problems beyond human capability.
Which course is best for AI? Below, I will mention recommended courses you can follow.
- Introduction to Artificial Intelligence (AI)
- AI Foundations for Everyone Specialization
- Generative AI: Introduction and Applications
- Introduction to Generative AI
All these courses are free and accessible from home. If you have another question, please comment on me. I will reply to you soon.
How do I use artificial intelligence?
This is a famous question for many students. Many students know only ChatGPT, but many of the AI tools are made for many ways. In this section, we will give you full details about the wide area information.
| AI Tools | Applications |
| ChatGPT | writing, brainstorming, research help |
| Notion AI / Google Docs AI | writing assistants built into productivity tools. |
| Grammarly / Quillbot | grammar checking, rewording |
| Runway ML | AI video editing, special effects. |
| DALL·E, Midjourney, Canva AI | generate art, graphics, logos |
| Figma AI | helps with UI/UX design |
| ChatGPT / Claude / Perplexity | answer questions, tutor you, summarize articles. |
| Khanmigo (Khan Academy) | AI tutor for math/science help |
| Elicit | helps with academic research and literature reviews. |
| Zapier + AI | Automate tasks using AI logic |
| AI email drafting | in Gmail, Outlook, etc |
| AI meeting notes (Otter.ai, Fireflies.ai) | transcribe and summarize meetings |
Here is a look at a few AI tools, by searching the internet.
Image recognition, Voice assistants, and face unlock are used in everyday life. Using these AI tools, we can do our day-to-day work smartly.
Artificial Intelligence and machine learning
Both Artificial Intelligence and machine learning are the most popular and trending technologies these days. Machine learning is a subset of AI that learn from data, and the more data, the better it gets. Here, I can divide into three groups of machine learning:
- Supervised Learning. Ex: Email spam filters
- Recommendation systems: Ex: Netflix, Amazon
- Reinforcement Learning Ex: Predictive text
Both Machine learning and Artificial intelligence offer excellent career opportunities for you; don’t have any doubts about these fields.
Artificial intelligence and Data science
Both fields are closely related and interconnected. If you prefer to spend time and money on learning data science, you can gain good career paths in the industry. The future of both AI and data science is bright, but they face some difficulties. Analyzing these two study fields isn’t complicated or hard to learn.
What are the 4 types of artificial intelligence? In the current world, it has 4 classifications based on capabilities and functionalities. This classification is essential to get an idea of how advanced and to compare with human intelligence. Consider them one by one:
- Reactive Machines:
Key traits include being focused on specific tasks, having no memory or data retention and having no learning capability.
- Theory of Mind:
One of the advanced forms of AI and trying to understand human emotions, beliefs, intentions, and other mental processes. No real-world examples yet for this type. Key traits include understanding human mental states, predicting human emotions or intentions.
- Limited Memory:
Many AI applications fall into this category. To make the decision, use historical data. Ex: Self-driving cars. Short-term memory improves performance over time with data and follows in most machine learning models today.
- Self-aware AI:
This is the most complicated and speculative form of AI in the current world.
The Syllabus of the Computer Science Engineering Degree and Diploma
