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FAQ's

1. What age group are your courses designed for?
Our courses are designed for kids aged 8-16. We offer different levels of courses to cater to various age groups and skill levels.
No prior experience is necessary. Our courses start with the basics and gradually build up to more advanced topics. We tailor our content to suit beginners as well as those with some coding background.
Our courses primarily focus on Python, which is widely used in AI and data science. We also introduce other relevant tools and libraries as needed.
Yes, you can do the courses without Laptop/PCs and Python-Related courses can be done using Google Colab. Details have been mentioned as a separate chapter in every Python-related course. However, for PowerBI, we recommend the usage of a Laptop/PC.
Our courses are delivered online through interactive video lessons, live sessions with instructors, and hands-on projects. This flexible format allows kids to learn at their own pace.
Course lengths vary depending on the level and complexity. On average, each course runs for about 3 weeks as per your child's pace of learning, and with weekly sessions and additional practice exercises in case you opt for instructor-led courses.
We provide continuous support through live chat, email, and scheduled one-on-one sessions with instructors. Additionally, we have a community forum where students can interact and help each other.
Yes, students receive a certificate of completion for each course they finish. This certificate can be a great addition to their academic portfolio.
Our courses cover a range of topics including the basics of AI, data science fundamentals, machine learning algorithms, data analysis, neural networks, and ethical considerations in AI. We use fun, kid-friendly examples to make complex topics understandable.
Enrollment can be done directly through our website. Simply choose the desired course, complete the registration form, and make the payment. You will receive an email confirmation with further instructions.
Our courses are designed by educators and AI professionals with experience in teaching kids. All content is age-appropriate, engaging, and aimed at making learning fun and accessible.
Students will need a computer with internet access. Specific software requirements will be provided at the start of the course, but generally, we use free or easily accessible tools.
Parents can track their child’s progress through our online learning platform. You will have access to detailed reports on completed lessons, quizzes, and projects, as well as feedback from instructors.
Absolutely! Our flexible online format allows kids to take courses at any time, including during school holidays. This can be a great way to keep them engaged and learning year-round.
Yes, we offer advanced courses that delve deeper into AI, machine learning, and data science topics. These courses are designed for older students or those who have completed our introductory courses.
Students will work on a variety of hands-on projects, such as creating simple AI models, analyzing data sets, building small applications, and more. These projects are designed to be fun and educational, reinforcing the concepts learned in each lesson.
Our live sessions are highly interactive, with opportunities for students to ask questions, participate in discussions, and collaborate on projects with peers. Instructors use interactive tools and activities to keep students engaged.
While our courses are designed for kids, we encourage parents to stay involved by reviewing course materials, discussing projects, and encouraging their child’s progress. Some parents even choose to learn alongside their children!
We accept various payment methods, including credit/debit cards and bank transfers. For specific payment-related questions, please contact our support team.
We take security and privacy very seriously. Our platform complies with all relevant data protection laws, and we use secure technologies to protect students’ information. We also provide guidance on safe online behavior during the courses.
For advanced courses, we recommend that students complete our introductory courses or have a basic understanding of programming and data science concepts. Specific prerequisites will be listed in the course descriptions.