Seasoned Professional in AI, Robotics Fundamentals with Edison: Python/ LLMs/ Safety

From 25.28 Fr /h

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!

Extra information

should have access to laptop

Location

Online from Netherlands

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 Maastricht
Languages & 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 Science

Curriculum 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

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Student level

Beginner

Intermediate

Duration

30 minutes

45 minutes

60 minutes

The class is taught in

English

Skills

Robotics

Computer programming

Availability of a typical week

(GMT -05:00)

New York

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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