Seasoned Professional in AI, Robotics Fundamentals with Edison: Python/ LLMs/ Safety
من 33.02 $ /س
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
|
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
|
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!
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!
معلومات إضافية
should have access to laptop
المكان
عبر الانترنت من هولندا
من أنا؟
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.
المستوى التعليمي
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
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
الخبرة / المؤهلات
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
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
السن
الأطفال (7-12 سنة)
شباب (13-17 سنة)
مستوى الطالب
مبتدئ
متوسط
المدة
30 دقيقة
45 دقيقة
60 دقيقة
الدرس يدور باللغة
الإنجليزية
مهارات
الجاهزية في الأسبوع العادي
(GMT -05:00)
نيويورك
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
ضمان المدرس المناسب