How to Learn from Appliedaicourse

Instructor: Applied AI Course Duration: 35 mins


GUIDELINES


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.


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 team@appliedaicourse.com 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]


Google Classroom

We use Google classroom to accept your assignment submissions, evaluate them and share our feedback with you. Please join the Google Classroom.


Assignments

a. Please check this video to see how to submit an assignment: https://www.youtube.com/watch?v=PdDJSWQAM8A

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 last videos of each chapter marked: Assignment/Exercise.

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.

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.


Slack

We have sent an invitation to join the Slack group to your email. Please go through the below link for steps to join the Slack group.

https://docs.google.com/document/d/1gRWToN0M-mG9NIlyWvfJM6DSIxlOGreog4-mkKofp3s/edit?usp=sharing

 

Live sessions

Please follow the below steps to access the live sessions. All the registered candidates will receive an emailSMS with complete details regarding a LIVE session before 24-48 hours

1. Please note that you can only access the live sessions via the Desktop App. Please download the new V1.1 of the Desktop app for your OS from the below link. https://www.appliedaicourse.com/live

2. You can simply unzip the folder and run the executable file "Applied AI Course".

3. To log in once you open the app, please use your registered email address and password.

4. Please click on Live Sessions to access the live/recorded sessions. 

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