I am creating this topic at the request of forum users.
I will be glad if this information and my experience will help you.
Ask your questions.
In September 2024, I enrolled into Walsh College's Doctor of Business Administration in Artificial Intelligence and Machine Learning.
The program is a collaboration of Walsh College and GreatLearning.
https://www.mygreatlearning.com/dba-aiml-online
The admission process was simple and straightforward. 2-3 phone calls, verification of diplomas and an entrance fee of 1000.
The program costs 12500$. I can provide a referral link with a discount.
Here is an example for the first part of the doctoral program.
If you are interested in other programs, please contact me, I will send a link specifically for you.
The program is designed for three years.
As a result, you will receive three diplomas:
PG Diploma in AIML from Texas University
MS in AIML from Walsh
DBA from Walsh
I enrolled in September. The studies were supposed to start in January, but were postponed for a month and started in February.
By February, we had to independently complete preparatory courses at the LMS. It were 7 ungraded courses.
The courses were about Python and an introduction to artificial intelligence.
Sometimes there were online webinars. Where the theory was explained, and you could ask questions.
The PGP began in February. It will continue until September.
Then, until the end of the year, there will be a bridge program from Great Learning.
The second year is devoted to the master's program. The third is devoted to the doctoral courses and dissertation.
The doctoral part will include a mandatory oral general examination.
So it's not just about checking a box, this is real academic education.
PGP consists of 7 modules or courses.
A typical module lasts 4 weeks.
Each week, there are videos and texts for learning in the LMS. Materials are from the University of Texas and Great Learnings. Also, each section ends with an ungraded quiz. Materials and quizzes are optional and do not affect progress.
There is a two-hour webinar on Saturday. The first part explains the theory for the week. The second part is dedicated to practice and live coding. The webinar is hosted by a lecturer from Great Learnings.
Attendance at the webinar is mandatory. If you miss it, you need to watch the recording. The percentage of webinars watched affects the grade.
There is a mandatory graded quiz at the end of the week. 10 questions, 40 minutes. The result affects the grade.
If you miss the deadline for a good reason, you need to ask the program advisor for an extension. They usually respond quickly and are ready to help.
There is a mandatory project at the end of the module. It contributes the most to the final grade.
There are two options for completing the project. The project is done on a Jupiter notebook.
The business path requires minimal programming. The task is almost solved, you just need to add a few variables or lines of code. The result obtained needs to be analyzed, and a presentation prepared.
The programming path requires independent problem-solving, but no presentation is required.
You can choose a convenient path for each project.
There may or may not be a break between modules.
Hackathons are held during the holiday breakі. They are voluntary and not graded. But they are very interesting.
That's all for now.
At this point, I've passed Python - Foundations, Machine Learning, Advanced Machine Learning, Introduction To Neural Networks, Natural Language Processing with Generative AI.
The modules are not very theoretically and mathematically heavy. They are more focused on studying the corresponding Python libraries and practice. In comparison, the courses from MIT were much more theoretically difficult and almost did not include practice.
I will be glad if this information and my experience will help you.
Ask your questions.
In September 2024, I enrolled into Walsh College's Doctor of Business Administration in Artificial Intelligence and Machine Learning.
The program is a collaboration of Walsh College and GreatLearning.
https://www.mygreatlearning.com/dba-aiml-online
The admission process was simple and straightforward. 2-3 phone calls, verification of diplomas and an entrance fee of 1000.
The program costs 12500$. I can provide a referral link with a discount.
Here is an example for the first part of the doctoral program.
If you are interested in other programs, please contact me, I will send a link specifically for you.
The program is designed for three years.
As a result, you will receive three diplomas:
PG Diploma in AIML from Texas University
MS in AIML from Walsh
DBA from Walsh
I enrolled in September. The studies were supposed to start in January, but were postponed for a month and started in February.
By February, we had to independently complete preparatory courses at the LMS. It were 7 ungraded courses.
The courses were about Python and an introduction to artificial intelligence.
Sometimes there were online webinars. Where the theory was explained, and you could ask questions.
The PGP began in February. It will continue until September.
Then, until the end of the year, there will be a bridge program from Great Learning.
The second year is devoted to the master's program. The third is devoted to the doctoral courses and dissertation.
The doctoral part will include a mandatory oral general examination.
So it's not just about checking a box, this is real academic education.
PGP consists of 7 modules or courses.
A typical module lasts 4 weeks.
Each week, there are videos and texts for learning in the LMS. Materials are from the University of Texas and Great Learnings. Also, each section ends with an ungraded quiz. Materials and quizzes are optional and do not affect progress.
There is a two-hour webinar on Saturday. The first part explains the theory for the week. The second part is dedicated to practice and live coding. The webinar is hosted by a lecturer from Great Learnings.
Attendance at the webinar is mandatory. If you miss it, you need to watch the recording. The percentage of webinars watched affects the grade.
There is a mandatory graded quiz at the end of the week. 10 questions, 40 minutes. The result affects the grade.
If you miss the deadline for a good reason, you need to ask the program advisor for an extension. They usually respond quickly and are ready to help.
There is a mandatory project at the end of the module. It contributes the most to the final grade.
There are two options for completing the project. The project is done on a Jupiter notebook.
The business path requires minimal programming. The task is almost solved, you just need to add a few variables or lines of code. The result obtained needs to be analyzed, and a presentation prepared.
The programming path requires independent problem-solving, but no presentation is required.
You can choose a convenient path for each project.
There may or may not be a break between modules.
Hackathons are held during the holiday breakі. They are voluntary and not graded. But they are very interesting.
That's all for now.
At this point, I've passed Python - Foundations, Machine Learning, Advanced Machine Learning, Introduction To Neural Networks, Natural Language Processing with Generative AI.
The modules are not very theoretically and mathematically heavy. They are more focused on studying the corresponding Python libraries and practice. In comparison, the courses from MIT were much more theoretically difficult and almost did not include practice.
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