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Since June 2024
Instructor since June 2024
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3D Modeling for Beginners || 3D Modeling for Beginners
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From 25 € /h
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Want to create a 3D logo animation, create an image for a personal product, or simply want to know where to start? Then this course is for you!

3D modeling can be a difficult discipline to start self-taught, that's why I can teach you the basics and more on different software such as Blender 3D, Maya, Houdini, 3ds Max or even Zbrush if you wish.
We will be able to cover different aspects of modeling together and do exercises to see how things work in 3D.

(You want to create a 3D logo animation, to create a turn for a personal product, or just to know how to start? If it's the case this class is for you!

3D modeling can be thought to start on your own so I can teach you the basics and more on different software such as Blender 3D, Maya, houdini, 3ds max or even Zbrush if you want.
We can go through different aspect of the modeling together and doing exercise to see how things work in 3D.)
Extra information
You need a good internet connection to work, for necessary downloads or research.

You need a good connection to work, for any downloads or for the references.
Location
location type icon
Online from France
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
120 minutes
The class is taught in
French
English
Availability of a typical week
(GMT -04:00)
New York
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Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Bozhidar
Hey! Are you looking for a young, approachable yet meticulous tutor in Computer Science or Mathematics? Then I believe I might be the tutor for you! I offer lessons in the aforementioned subjects (English only) for high-school and bachelor students at the start of their studies.

A little bit about me:
My name is Bozhidar and I am a MSc Data Science student at ETH Zuerich. Last year, I completed my bachelor's in Computer Science at TU Delft (the #1 technical university in the Netherlands) with distinction. I was a teaching assistant for 10 courses during my stay at the university. Additionally, I have given private lessons to a few high school and bachelor's students, so I believe I have accumulated enough experience with guiding and tutoring students across different disciplines. I have found out that I enjoy teaching a lot, so that is why I am here - to help you and myself!

My expertise:
During my high school years, I won tens of awards and scholarships for achievements in Mathematics and Computer Science. I also won my high school's recognition award which is given to one student every year for distinctive results. I've helped high-school and university peers with exam preparation, taught whole courses privately, prepared sample exams, and reviewed and graded real ones. Regarding the university courses I have experience in, I have taught:
- Object-Oriented Programming
- Reasoning & Logic
- Computer Organisation
- Algorithms and Data Structures
- Web and Database Technologies
- Calculus
- Information & Data Management
- Automata, Computability and Complexity
- Concepts of Programming Languages
- Computational Intelligence

Here are some of the reviews I have received as a teaching assistant:
Overall: 4.97/5 (70 reviews)
5/5 - "Great job! Did far more than just explaining this example and went far deeper into the material, helping me to understand it."
5/5 - "Favourite TA. Always there for the difficult questions. Never leaves anything unanswered no matter how long it takes."
5/5 - "Delightful person with an insightful way of thought! Brilliant TA!"
5/5 - "Clear explanations and expert in the material"

So, what are you waiting for? Write me a message and let's get the knowledge train running.
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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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Anita
The program is designed for students interested in concept art, illustration, visual storytelling, and portfolio preparation for art schools, animation/game-related programs, or independent artistic development. It follows a mentorship-based approach, combining artistic foundations, conceptual thinking, and portfolio strategy, adapted to everyone's style, vision and long-term goals.

What's in it?

PART I

1. Artistic & visual language

• Traditional drawing & illustration techniques
• Shape & form study
• Light, color & values
• Composition & visual storytelling

2. World-building & visual thinking

• Environment design (natural & built spaces)
• Props, objects, and visual detail
• Character concepts (anatomy basics, silhouettes, expression)
• Style exploration (realistic, stylized, symbolic, experimental)
• References vs originality: how to build from research without imitation

3. Cognitive & creative process

• Artistic thinking & workflow
• From idea to image
• Documentation & reference gathering
• Moodboards & visual research
• Iteration, selection, refinement
• Knowing when a piece is finished

4. Digital foundations (optional / hybrid)

• Transition from traditional to digital
• 2D digital tools & workflows
• Layer logic, brushes, textures
• Digital painting fundamentals
• Presentation-ready images
• Case studies from professional concept artists & illustrators

This section is optional and may be skipped for students with prior digital experience. In such cases, the focus will be on refining and strengthening what has already been acquired.

IMPORTANT!

All sections in Part I (artistic practice, visual language, world-building, technical and digital foundations) are approached according to the student’s existing level, from beginner to advanced. If foundational skills are already present, these areas will not be repeated mechanically; instead, the focus will shift toward portfolio development, conceptual depth, and refinement of existing work.

PART II

Portfolio development & mentorship

1. Portfolio building

• Defining the student’s artistic direction
• Selecting and developing strong themes
• Creating cohesive series, not isolated images
• Aligning personal style with academic or professional expectations
• Consistent review, feedback, and refinement

2. Application-specific support (where applicable)

• Portfolio selection & sequencing
• Artist statements or motivation letters (with visuals)
• Adapting work to specific institutions or programs
• Understanding evaluation criteria
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Contact Victor
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Similar classes
arrow icon previousarrow icon next
verified badge
Bozhidar
Hey! Are you looking for a young, approachable yet meticulous tutor in Computer Science or Mathematics? Then I believe I might be the tutor for you! I offer lessons in the aforementioned subjects (English only) for high-school and bachelor students at the start of their studies.

A little bit about me:
My name is Bozhidar and I am a MSc Data Science student at ETH Zuerich. Last year, I completed my bachelor's in Computer Science at TU Delft (the #1 technical university in the Netherlands) with distinction. I was a teaching assistant for 10 courses during my stay at the university. Additionally, I have given private lessons to a few high school and bachelor's students, so I believe I have accumulated enough experience with guiding and tutoring students across different disciplines. I have found out that I enjoy teaching a lot, so that is why I am here - to help you and myself!

My expertise:
During my high school years, I won tens of awards and scholarships for achievements in Mathematics and Computer Science. I also won my high school's recognition award which is given to one student every year for distinctive results. I've helped high-school and university peers with exam preparation, taught whole courses privately, prepared sample exams, and reviewed and graded real ones. Regarding the university courses I have experience in, I have taught:
- Object-Oriented Programming
- Reasoning & Logic
- Computer Organisation
- Algorithms and Data Structures
- Web and Database Technologies
- Calculus
- Information & Data Management
- Automata, Computability and Complexity
- Concepts of Programming Languages
- Computational Intelligence

Here are some of the reviews I have received as a teaching assistant:
Overall: 4.97/5 (70 reviews)
5/5 - "Great job! Did far more than just explaining this example and went far deeper into the material, helping me to understand it."
5/5 - "Favourite TA. Always there for the difficult questions. Never leaves anything unanswered no matter how long it takes."
5/5 - "Delightful person with an insightful way of thought! Brilliant TA!"
5/5 - "Clear explanations and expert in the material"

So, what are you waiting for? Write me a message and let's get the knowledge train running.
verified badge
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?
verified badge
Anita
The program is designed for students interested in concept art, illustration, visual storytelling, and portfolio preparation for art schools, animation/game-related programs, or independent artistic development. It follows a mentorship-based approach, combining artistic foundations, conceptual thinking, and portfolio strategy, adapted to everyone's style, vision and long-term goals.

What's in it?

PART I

1. Artistic & visual language

• Traditional drawing & illustration techniques
• Shape & form study
• Light, color & values
• Composition & visual storytelling

2. World-building & visual thinking

• Environment design (natural & built spaces)
• Props, objects, and visual detail
• Character concepts (anatomy basics, silhouettes, expression)
• Style exploration (realistic, stylized, symbolic, experimental)
• References vs originality: how to build from research without imitation

3. Cognitive & creative process

• Artistic thinking & workflow
• From idea to image
• Documentation & reference gathering
• Moodboards & visual research
• Iteration, selection, refinement
• Knowing when a piece is finished

4. Digital foundations (optional / hybrid)

• Transition from traditional to digital
• 2D digital tools & workflows
• Layer logic, brushes, textures
• Digital painting fundamentals
• Presentation-ready images
• Case studies from professional concept artists & illustrators

This section is optional and may be skipped for students with prior digital experience. In such cases, the focus will be on refining and strengthening what has already been acquired.

IMPORTANT!

All sections in Part I (artistic practice, visual language, world-building, technical and digital foundations) are approached according to the student’s existing level, from beginner to advanced. If foundational skills are already present, these areas will not be repeated mechanically; instead, the focus will shift toward portfolio development, conceptual depth, and refinement of existing work.

PART II

Portfolio development & mentorship

1. Portfolio building

• Defining the student’s artistic direction
• Selecting and developing strong themes
• Creating cohesive series, not isolated images
• Aligning personal style with academic or professional expectations
• Consistent review, feedback, and refinement

2. Application-specific support (where applicable)

• Portfolio selection & sequencing
• Artist statements or motivation letters (with visuals)
• Adapting work to specific institutions or programs
• Understanding evaluation criteria
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