

from27.00EUR/ h
Seasoned Professional in AI, Robotics Fundamentals with Edison: Python/ LLMs/ Safety
Unleash your inner innovator in this hands-on course designed for 7–17-year-olds! Led by Navya—a seasoned curriculum developer and programming instructor—you’ll embark on a journey through Python fundamentals, Edison robot programming, and the foundational concepts that power today’s AI. No prior experience? No problem: we start with core Python coding exercises or simple robot movements, then build up to more advanced topics at every step.
Over 8 weeks, you’ll:
Learn Python fundamentals (variables, control flow, functions) through engaging, project-based exercises
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Program Edison robots to navigate mazes, follow lines, and interact with their environment
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Explore AI fundamentals and large language model (LLM) concepts: machine learning basics, neural nets, and prompt engineering
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Understand AI safety principles and best practices to build responsible, trustworthy applications
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By the end of the course, you’ll have created autonomous robot demos, simple LLM-powered chatbots, and a solid grasp of the coding and ethical foundations that drive modern robotics and AI. Get ready to code, tinker, and shape the future!
Over 8 weeks, you’ll:
Learn Python fundamentals (variables, control flow, functions) through engaging, project-based exercises
|
Program Edison robots to navigate mazes, follow lines, and interact with their environment
|
Explore AI fundamentals and large language model (LLM) concepts: machine learning basics, neural nets, and prompt engineering
|
Understand AI safety principles and best practices to build responsible, trustworthy applications
|
By the end of the course, you’ll have created autonomous robot demos, simple LLM-powered chatbots, and a solid grasp of the coding and ethical foundations that drive modern robotics and AI. Get ready to code, tinker, and shape the future!
Extra information
should have access to laptopLocation
Online via webcam
General info
Age: | Children (7-12 years old) Teenagers (13-17 years old) |
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Student level: | Beginner Intermediate |
Duration: | 30 minutes 45 minutes 60 minutes |
The class is taught in: | English |
About Me
I’m Navya, a friendly and patient educator who thrives on helping students discover the excitement of coding and robotics. In my classes, I mix hands-on projects with real-world examples—whether we’re making Edison robots navigate mazes or building simple chatbots—to keep learners aged 7–17 engaged and confident. I adapt my teaching to each student’s pace, encourage questions at every step, and emphasize creative problem-solving and ethical AI practices. My goal is always to make tech fun, accessible, and empowering.Education
University MaastrichtLanguages & Tools: Python, Java, SQL, C#, Git, Docker, Pandas, NumPy
– Robotics: Edison robot programming (line-following, maze solving, sensor integration)
– AI & LLM Fundamentals: Machine learning basics, neural nets, prompt engineering
– AI Safety & Ethics: Best practices for responsible AI development
– Data Structures & Algorithms: HashMaps, lists, search strategies, performance optimization
Experience / Qualifications
Bachelor of Computer ScienceCurriculum Developer & Programming Instructor, Smart Health Science (May 2024 – Present)
– Co-designed an 8-week Java & Minecraft coding curriculum for ages 5–13
– Teach core AI concepts, Java fundamentals, and computational thinking in a classroom setting
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(GMT -04:00) New York
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from 27€Online via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since April 2025
- Google connected
Availability of a typical week
(GMT -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
---|---|---|---|---|---|---|---|
0 | |||||||
1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
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from 27€Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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Educational objectives
At the end of the course, participants will be able to:
1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops.
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Course syllabus
1. Introduction (10-15 min)
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- Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook).
- First program: *"Hello, World!"*.
2. Python Basics (20-30 min)
- Variables and data types (integers, strings, lists).
- Mathematical operations and data manipulation.
- Conditional structures (if/else) and loops (for/while).
3. Practical exercises (20-35 min)
- Write a program to calculate the sum of two numbers provided by the user.
- Create a simple application, like a currency converter or password generator.
- Bonus for 90 min format: Fixed a more complex issue involving lists or loops.
4. Q&A and conclusion (5-10 min)
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- Suggestions for resources to continue learning.
- Feedback on the course.
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Teaching methodology
- Interactive and engaging: the course combines theoretical explanations with practical exercises.
- Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time.
- Learning by doing: examples and exercises are designed to help you assimilate concepts quickly.
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Target audience
This course is ideal for:
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- Anyone curious to discover a powerful and versatile tool for solving problems.
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Benefits of this online course
- Teaching by an experienced and passionate trainer.
- Interactive sessions adapted to your learning pace.
- Access to educational materials and exercises to continue practicing after the course.
Join us now to discover programming and its applications using Python!
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