UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp is closed
This school is now closed. Although UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp is no longer accepting students or running its program, you can still see historical information and UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp alumni reviews on the school page.
UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp is a part-time, 36-week bootcamp delivered self-paced online. Bootcamp students should commit 15 hours per week to the course, but may finish the bootcamp early by putting in more hours each week.
Machine Learning Engineering and AI students will start with an introduction to basic ML algorithms and quickly advance to topics like large language models and generative AI. Through hands-on projects and practical exercises, students will master the entire machine learning pipeline, from data preprocessing and feature engineering to model deployment and scaling. Students will gain proficiency in popular frameworks and tools like TensorFlow, Scikit-Learn, and AWS, equipping them with the ability to develop and deploy machine learning models at scale.Students will also explore ethical considerations surrounding AI and learn how to build models that are fair, transparent, and unbiased. The bootcamp covers topics like interpretability, bias detection, and privacy, ensuring students have a well-rounded understanding of the field. In addition to small projects designed to reinforce technical concepts, Machine Learning Engineering students will build a realistic machine learning application available to use via an API, web service, or a website.
Applicants to UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp are required to have proficiency in object-oriented programming (Python, Java, or JavaScript). If students meet the prerequisites, they may submit an online application, which will be followed by an interview with the enrollment team.
Machine Learning Engineering and AI bootcamp students will receive unlimited 1:1 mentor support from an industry expert. Students will also receive career services support, including resume help, mock interviews, and assistance with salary negotiation.
UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp students will receive a certificate of completion and UC San Diego Extended Studies alumni status upon graduation.
UC San Diego Extended Studies Machine Learning Engineering bootcamp is powered by Springboard.
4 alumni reviews of UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp
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BBill Verified via LinkedInSolution Architect · Machine Learning Engineering Bootcamp · September 2021
Overall an good course that is as advertised with some caveat
Overall, this course was a success for me. When I initially joined this course, I wasn't specifically looking for a new job, I was already in the software industry earning a lot of money in Silicon Valley, and I simply wanted to maintain my skill so...Overall, this course was a success for me. When I initially joined this course, I wasn't specifically looking for a new job, I was already in the software industry earning a lot of money in Silicon Valley, and I simply wanted to maintain my skill so it is not obsolete. However, as the course progressed and my goals changed, I came to take advantage of their career couching services, which actually made a huge difference in my trajectory.
This course is a serious course and I would recommend you join only if you have experience in software engineering already. While it s not necessary, a lot of the deeper topic will go over your head. Also, the learning outcome is absolutely dependent on how much time you spent on it, you can't expect to pay $10k and buy your way into an expert, this is a legit course and everything will have to be learned legitimately over time.
Some advice to new students:- Write notes continuously or you won't learn anything.
- Use your mentor to keep you on-track, motivate you, and unstuck you.
- Pick a capstone project topic you are actually care about so you won't get bored of it.
- Follow career guidance advice to the tee, it's good advice even if you think it's silly.
- Use your high tuition cost as a motivation to finish sooner.
- And the most important one: you learn only as much as the effort you put into it!
What you need to know before joining / things the course could improve on:- Course material could be ordered better, I had to go back and forth between different chapters to understand certain topics. Notes also helps.
- All their materials can be found online for free, which in my opinion was not a major problem, however the sections that were behind paywall were definitely a problem for me. I hope they eventually replace them with free ones.
- The course is expensive, don't go into it expecting a miracle just because you paid a lot of money. You are still responsible for yourself, but the course will help.
Course outcome: I was doing about 10 interviews per week before the course ended, and I had 2 job offers both above $200k right after graduation. I am currently the lead architect on a high caliber ML project with direct reporting ( I actually didn't even ask for this ). The course paid for itself. I would recommend.Overall4.0Curriculum3.0Job support5.0Instructors4.0 -
DDinorah MorenoEmerging AI & ML Specialist · Machine Learning Engineering Bootcamp · August 2024
Great AI & ML program
I had such a great experience with this program, it was such a straightforward experience to do even for someone who has no background experience in python or AI& ML. I was able to follow along on the great learning platform smd i liked that it...I had such a great experience with this program, it was such a straightforward experience to do even for someone who has no background experience in python or AI& ML. I was able to follow along on the great learning platform smd i liked that it was a teach and test method where we have quizzes after each lecture video that reinforces the material . Over all i had a great learning experience. Surya m
Our program manager was very helpful along the way and was available even when I was submitting a project in the middle of the night. I am very proud of myself for taking a leap of faith and going through this program because I got to learn alot of different things in the AI world & I am smeone who is completely new to this field and has no background in computer engineering so I am proud of myself for being able to complete 6 projects and go through the program on my own and at my pace. A big thankyou to my fellow classmates who were very supportive along the course. Will be taking courses with the University of Austin Mcombs School Of Business in partnership with Great Learning as it was a great platform to use.Overall5.0Curriculum5.0Job support3.0Instructors5.0 -
AAlanLead Software Engineer · Machine Learning Engineering Bootcamp · January 2022
Good course for the self discipline
Overall I have a good experience. This course is for the practical use of machine learning, it is not for learning the inside detail of the algorithms. I had a good time learning about machine learning. I am a software engineering lead. My goal...Overall I have a good experience. This course is for the practical use of machine learning, it is not for learning the inside detail of the algorithms. I had a good time learning about machine learning. I am a software engineering lead. My goal was just to learn, not necessary for a career change.
You must have software programming experience before you sign up. You don't necessary need python programming experience but it will be great help because programming language used in machine learning is mostly python. My primary language is Java and I have basic python skills, so it is not hard for me.
The course is self paced. You get a mentor to guide you along the way. But you get what you put in. If you put in more effort, you get more out of it. As an example, there was a time series assignment I worked on. I did more digging and research than the assignment required. My mentor DJ gave me some more suggestions and libraries that he used in his work that was not on the course materials.
Most of the course materials can be found online, mostly videos and articles. The boot camp organized into sections for you to learn. The organization is good for me. They used Slack as a communication tool among students and have open office hours from mentor. I have weekly meeting with my mentor. The meeting for me is mostly for the Capstone project. The Capstone project is the project you choose what to do. I had no idea what project to do in the beginning. But my mentor guided me and gave suggestions. I ended up writing a loan prediction model. If you have a clear idea on what machine learning project to do before you start, that would be a great plus.
I generally spent 20+ hours per week on the work. They suggested 15 hours per week. I was able to finish in 5 months.
At the end, I was glad that I completed the course.Overall5.0Curriculum4.0Job supportN/AInstructors4.0 -
TTruptiControl Systems Engineer · Machine Learning Engineering Bootcamp · October 2021
Useful if for for students with clear goals
This course is useful to gain working knowledge of using Machine learning tools and not to develop a deeper mathematical understanding of the subject. It is really helpful to do online ML courses offered by coursera, edx etc. before doing this...This course is useful to gain working knowledge of using Machine learning tools and not to develop a deeper mathematical understanding of the subject. It is really helpful to do online ML courses offered by coursera, edx etc. before doing this Bootcamp. The course material is a collection of free online videos, articles, tutorial on ML/Data Science. As a result the quality of the course material varies a lot from one unit to the next. The good thing about the course material is that it exposes you to a wide variety of online resources that are available mostly for free. To take full advantage of the course spend most of the time working on the capstone project rather than going through the course material exhaustively. The more effort one puts in the capstone project the better is the return of investment of this course. I was not looking for an immediate job change hence I didn't use all the career advice sessions. But the career coach gave me a lot of good tips about using LinkedIn and networking on LinkedIn in case I want to switch jobs in future.
Recommendation to the course creators:
1. Host the course assignments (with data files) on a private git repo rather than paperspace. Paperspace was painful to use.
2. Make available a summary of the past capstone projects to the students. This will help many students to brainstorm project ideas.
3. Give students an opportunity/option to present their capstone work in a zoom meeting. This will help increase the interaction between the students. It is hard to interact with strangers directly on slack.Overall4.0Curriculum4.0Job support4.0Instructors3.0
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Is UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp worth it?
UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp hasn't shared alumni outcomes yet, but one way to determine if a bootcamp is worth it is by reading alumni reviews. 4 UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp alumni, students, and applicants have reviewed UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp on Course Report - you should start there!
How much does UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp cost?
UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp costs around $9,900.
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UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp teaches students Online in a remote classroom.
Does UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp offer scholarships or accept the GI Bill?
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We let alumni answer that question. 4 UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp alumni, students, and applicants have reviewed UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp and rate their overall experience a 4.67 out of 5.
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You can read 4 reviews of UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp on Course Report! UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp alumni, students, and applicants have reviewed UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp and rate their overall experience a 4.67 out of 5.
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