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Since February 2020
Instructor since February 2020
Fundamentals of Artificial Intelligence - Theory and Practical
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From 17 € /h
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Two options: Only Theory or Theory with practical using Python

After successful completion of this course, a student will

- have deep knowledge and insight in a limited number of basic techniques from Artificial Intelligence, including: basic search methods, heuristic search methods, optimal path search methods, optimal path search methods with limited memory use, game search techniques, version spaces machine learning, backtracking techniques for constraint processing, consistency techniques for constraint processing, hybrid techniques for constraint processing, strips planning

- be able to simulate each of the above techniques with pen and paper (and using python) on examples,

- have insight into the relevance of these techniques for applications,

- be able to use the algorithms to develop solutions on a computer for less small examples,

- have insight in the relations between these techniques.

Prerequisite: Knowledge of python (if option practical chosen). If no knowledge of python, check out https://www.apprentus.com/en-be/private-lessons/leuven/computers-electronics/python/python-zero-to-hero
Location
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Online from Belgium
About Me
I am currently working for the Flemish government. I boast of many years of experience in teaching programming and music theory. I am presently engaged in making robots smarter for the Flemish industry and producing music.
Education
Graduate with Bachelor degree with honours in Mechatronics and Robotics Engineering, and an Advanced Masters degree (distinction) in Artificial Intelligence at KU Leuven.
Experience / Qualifications
I have a couple of years of experience teaching A level courses, math and computer science and guitar basics to students .
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level
Beginner
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Python is a very powerful language with the potential of being implemented in every domain imaginable. I have designed this course in a way that will assist any beginner to grasp the necessary concepts of Python. One can start writing complex python codes in no time and if you are someone who knows nothing about Python but wants to have the skills to build something with Python and doesn’t want to invest too much time, this course is what you need!!!
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Raouf
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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Similar classes
arrow icon previousarrow icon next
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Raouf
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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