What sets us apart from other similar programs is the experience of the Instructor:

• The instructor has a proven track record of publishing high quality research papers at Top Machine Learning conferences like KDD, ECML, IEEE VIS etc. (20+ publications)

• The instructor has been a conference organizer (Program Committee Member) and Reviewer for several Top Machine Learning conferences and Journals. They deeply understands the requirements for these conferences and what is needed to be able to publish in them

• They have a PhD in Machine Learning and have been working in the industry for over 10 years. They have practically seen all types of problems that crop up when building machine learning solutions and know the elixir to solving these problems

• Most importantly, they are passionate about teaching and guiding students in reaching their best potential. 

The other thing that sets us apart from other programs is the No re-use / re-package policy: 

We believe in finding new and unique custom projects for a group of students. Working on unique projects significantly increase the chances of the publication, and also makes a big difference in the College application.

Working on AI research projects will help you get the much needed edge for the college application. It will help you demonstrate your interest in the subject of Computer Science, Machine Learning, and the related fields through hands on learning experience and via innovative research contributions to the field. Starting to work on a research project at high school level under the guidance of a seasoned mentor will provide you a structural approach to problem-solving. 

Identify a research problem --> Literature review --> Data collection and analysis --> Use AI algorithms to find a solution --> Result and Conclusion

Participating in scientific conferences require rigor, practice, knowledge and conviction - the attributes which are highly valued and coveted for in a college application. Working on AI projects with an aim to publish in a research conference is a perfect way to start your journey. 

As the student decides to embark into this journey, the  student gets a Free introductory session with the instructor to identify the research interest. Parents are welcome to join this session. 

After the introductory session, we will take feedback from both you and the instructor for the next steps. Once we receive a go ahead from both you and the instructor, we will send you a payment link to make a lumpsum payment of the fee amount. 

The program fees is $7,999 $5,999 (25% off for a limited time)

Yes, we do have a referral program as stated below:

• Refer your friends and earn a $100 reward for every student who enrolls in the program. Your friend will also get a reward of $100. Your friend must put your name under the referral section while applying.

• Referral bonuses will be disbursed after the 2nd session via Amazon gift cards

• The program provides 10 dedicated mentoring sessions with the instructor.

• The frequency of these sessions are determined by the Conference Deadline that we are trying to target. If the deadline is tight, the instructor would prefer to meet twice a week, else they will meet once per week. In these sessions they will discuss the progress, and brainstorm on the next steps.

• The instructor will create detailed research plan with action items for the students to work on

• The student can also reach out to the instructor over email during the week to ask for help

For these meetings both in-person (in Sunnyvale, CA), and virtual options are available.

We do not impose any restrictions on whether the students should work individually or in groups. 

However, based on our experience, working in groups does improve the chances of acceptance for a research paper. Multiple students working together on the same problem do much more work than someone working individually. This results in a more 'information dense' research paper thereby increasing its chances of acceptance. 

Our suggested group size is 2-3 students per research project. 

Q. Can you help us find project partners? 

It depends on our enrollments and students' interests. However, if you have a friend who is equally motivated and have the same skill level, then we can definitely pair you up. 

Not necessarily. We think of this program as 'Learning ML on the job'. 

Our instructor will provide a crash course where they will teach the machine learning concepts that are needed for the successful implementation of the project. 

Yes. We will be using Python based Machine Learning libraries. Therefore, the students are expected to have a basic knowledge of Python. 

We offer both In-Person and Virtual sessions. In-person sessions will be provided in Downtown, Sunnyvale. Office Address: 100 S Murphy Ave, Ste 200, Sunnyvale, CA

No. This is a student-driven program. The instructors are here to provide mentorship and guidance

Truth be told, even the AI legends like Geoff Hinton or Andrew Ng can't guarantee the acceptance of a paper, especially in double-blinded conferences. And we are mere mortals in-front of them 😉. 

We can work on submitting our best work, but can't guarantee an acceptance of the paper. 

Yes, we will provide a certificate of research collaboration upon the completion of the program. 

Absolutely. Our instructors are there to help you every step of the way and you are free to ask them questions on future career paths and college admissions. 

You may certainly reach out to us for a recommendation letter. It will be provided on the discretion of the Program Director. 

Once you enroll in the program, we do not allow for any cancellations / refunds. 

If you are unable to work on the project due to unforeseen circumstances, we can provide you a buffer of 3 extra months to work on it.