How to Learn from Appliedaicourse

Instructor: Applied AI Course Duration: 35 mins

AAIC Running notes:

Request: If any of you guys/girls also wrote notes in such a way that it will be helpful for others please send the notes to our email/share it in the google classroom.

Note: Even though you have these notes, it will be better if you make your own running notes.

Welcome to AppliedAICourse.

Thank you for choosing us. We hope to make your journey of learning more fruitful through these guidelines which help you make most out of this course.


1. We use Google classroom to accept your assignment submissions, evaluate them and share our feedback with you. You will need a Gmail ID to join the google classroom.

2. To enable discussion amongst our students, we have a closed Google group which our students use to discuss amongst themselves. Note that this forum is for student-student interaction only and most the mentors and instructors do not answer your queries here. We will add you to the Google group discussion forum by the end of today. You can access the Google group here: If you cannot access this group in a day’s time, please revert back to us.

3. ================= Videos =================

a. Please try and follow the given order in which the videos appear. Try not to jump between the concepts as many future videos have required concepts covered in past videos. If you already know a concept, try and watch the videos speeded up as it can help you fill gaps and give you a good revision.

b. Under each video, in the description section, you will find additional material, videos, iPython notebooks, reference links and any corrections in the video. Please try and go through this content as it helps you gain a broader perspective on the topic.

4. ================= Comment & Emails =================

a. When you are watching any particular concept and if have any query/question/doubt, before you comment below the video, please do check the previous comments which are already answered as many of the frequently asked queries are already answered in the comments section or the description section.

b. Please do NOT comment about wit issues related to "installation", "code errors", "code explanations", "assignment code" below the video in the comment section. if you have any queries regarding them please drop an email at as it will help us better address your answer.

c. For the questions that you are going to ask over email regarding "coding or error"s please do share the iPython notebook, PDFs of the notebook and the screenshots so that we can suggest you corrections faster. You can easily convert ipynb to pdf: File->Download As->HTML->[convert HTML to pdf using online tools]

5. ================= Assignments( =================

a. Please check this video to see how to submit an assignment:

b. There are NO mandatory assignments for some of the prerequisites chapters like Python. Your mandatory assignments start from the Exploratory Data Analysis chapter onwards. All optional assignments are marked as optional.

c. For every assignment, we have a video which explains the task at hand which you can find in the Google Classroom itself,

d. Please do NOT obtain the source code or solve the assignments with the help of other students. These assignments are designed for you to learn and practice without which you will not be able to solve real-world problems. If we find code plagiarism, you would be ineligible for the job-guarantee or money back program as per the terms stated here. All the students found to be participating in plagiarism including the original creator/author of the code would be disqualified for the job-guarantee or money back program. If you use the code snippet from any blog or website, you SHOULD give the reference link just above the code snippet as python comment(ex: #ref link)

e. The maximum number of resubmissions that you can do for an assignment is FOUR. You would get detailed feedback after each submission with areas of improvement and fix. Most of our students who are diligent and careful would get the submission correct the first or second time.

f. Make your work (iPython notebook) more readable by removing unnecessary print statements and using markdown-cells to document your observations along with the comments in your code cells.

g. Please don't submit more than TWO assignments at once. As there is a high chance that you would do the same mistakes in all of your work that leads to an increased number of resubmissions. It is best to submit your assignments one after the other as we often revert back to you with feedback for your assignments in under 48 hrs.



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