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Start your journey on the path towards being an AI practitioner.
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Start your journey on the path towards being an AI practitioner.
By Proceeding, you agree to our Terms, Data Policy.
We are here to democratize AI. Hybrid learning is a revolutionary teaching methodology that encapsulates experiential learning through mentor-led online classroom for 1-on-1 interaction along with video-based e-learning for reinforcement and to suit the learning style of every student.
Our project-based learning approach encourages students to master the concepts and challenge themselves towards solving real-life problems using AI technologies – AIforGood
Connect with us and explore our methodology.
Every autonomous machine has 3 essential components - Artificial Intelligence for Brain, IoT for remove Access, and a functioning Robotic body. This is the best approach to encourage and engage children to pick a course that suits their aspirations.
We Believe in Stage-wise transition from AI to build Autonomous Machines. Either you could start with hardware, microcontrollers, IOT(Stages 1 to 3) and the AI Stages or directly start with Hydrid AI concepts i.e Foundation for AI and AI with Data Science Courses(Stages 4 & 5)
Arduino With Electronics
Arduino Mobility - Rover, Roader, Rammer
Internet of Things (IoT)
Foundation for AI & AI4Good
Essential of AI
Python Language
Machine Learning
AI4Good
Artificial Intelligence with Data Science
Business Intelligence
Data Science Concepts
Deep Learning
Intro to Edge-AI
Includes every feature we offer plus unlimited projects and unlimited users.
All-in-one platform
These courses have specific learning goals hence are of short duration. Once enrolled, students would complete the online self-learning videos and complete their project(s). Then proceed with online master classes, conducted periodically, where the trainer would engage with the students practically.
Simplifying the understanding of the purview of AI through analysis of its 5 core applications, thus simplify the learning and encouraging experiential learning – Explore the world of AI from Data Science to Deep Learning.
Forecasting and Predicting using numerical or string data to support the decision making process, a key functional advantage for the management team
Following guidelines of a standardised national initiative to facilitate AI instruction for the K-12 audience.
An open interaction with the leadership of SchooforAI highlighting the purpose, offering, and future plans along with insights about how they are going to democratize AI right from the school level.
Simplified learning curve – AI is not a subject but an umbrella term that encapsulates Data Analytics, Data Science, and Deep Learning. Children should get a grip on the concepts and could even pick AI as a subject in their academics or draft a career path towards it.
Our Robotics to AI learning model is going popular among students from across the continents. We are growing with more features to offer.
AI-tinker is the go-to platform to learn robotics from scratch. Its teaching methodology equips you with the knowledge that is relevant, with lesson progressions that build a foundation upon foundation.
The courses on Arduino with Advance Electronics are a great way to have a soft start in robotics. My kid didn’t have any experience before and found that the coding and building were taught very instructively.
I love this course. It is great. I am a beginner and so far I understand it.
Finally a platform for the community of RoboGeeks, where one does not only have the opportunity to acquire the know-how of robotics, but can also meet and connect with others who share the same interest!
Very easy to understand. The slides and quizzes make this course easy and interesting. Beign a parent, this is the best gift I could give to my kid.
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