The program is designed for citizen developers, individuals with limited coding experience, but a strong interest in applying machine learning techniques to real-world problems. It’s suitable for students, professionals, and enthusiasts from various educational institutions and organizations.

No, prior coding experience is not required. Our program is specifically tailored for citizen developers, focusing on low-code, no-code approaches to make machine learning accessible to everyone.

The program covers essential machine learning concepts, including data analysis, visualization, preprocessing, model selection, feature engineering, and evaluation. It also includes hands-on sessions using low-code, no-code tools to build and deploy machine learning models.

Throughout the program, you’ll work on various projects that apply machine learning to real-world scenarios. Examples include predictive analytics, sentiment analysis, and image recognition.

The program typically spans [duration], with [number] of hours of engagement per week. It’s designed to be flexible, allowing participants to balance their learning with other commitments.

Yes, participants will undergo project-based assessments to gauge their understanding and progress. Successful completion of the program will earn you a certification from a reputable college like SAIT, Mount Royal University and more, recognizing your proficiency in applied machine learning.

Absolutely! Our experienced instructors and mentors will be available to support you throughout the program. You can ask questions, seek guidance, and get help with any challenges you encounter.

Yes, you’ll have continued access to the course materials and resources, allowing you to review the content and continue learning even after the program concludes.

Yes, we offer tailored solutions for educational institutions and organizations. We can adapt the program to meet the specific needs and goals of your group.

Citizen developers with machine learning skills are highly sought after in various industries, including finance, healthcare, marketing, and more. They can contribute to data-driven decision-making and create innovative solutions using machine learning techniques.

Yes, we offer post-program support and networking opportunities. Graduates can join our alumni community of the colleges and universities we partner with, access job boards, and stay connected with the program’s community.

We offer both synchronous and asynchronous program delivery options to cater to different learning preferences and schedules. For synchronous delivery, live sessions are conducted at scheduled times, allowing participants to interact with instructors and peers in real time. These sessions provide an opportunity to ask questions, engage in discussions, and receive immediate feedback. For asynchronous delivery, participants have the flexibility to access pre-recorded lectures, course materials, and practical exercises at their convenience. Additionally, asynchronous students will have access to dedicated Q&A sessions with our instructors. During these sessions, you can seek further clarification on concepts, get practical assistance in problem-solving, and receive personalized guidance to enhance your understanding of the material. Our goal is to ensure that all participants, whether synchronous or asynchronous, receive a supportive and enriching learning experience that aligns with their individual preferences and schedules.