Develop the skills required for the widely used AI technology by enrolling for the AI Product Manager AI Product Manager Certification by Udacity.
The AI Product Manager certification by Udacity has been specially designed and conceptualized to give the learners an understanding of the AI concepts. The curriculum has been structured in such a way to ensure that the learners develop the skills required to evaluate the business value of an AI product and to ensure the success of the product by focusing on potential biases, scalability, and compliance.
The learners will discover how to assess an AI product's commercial value. They will familiarize themselves with the basic Artificial Intelligence ideas and become adept at them. Then they will learn how to scope and construct a data collection, train a model, and assess its business impact. The learners will then develop the skills required to evaluate the business value of an AI product and to ensure the success of the product by focusing on potential biases, scalability, and compliance.
The AI Product Manager certification by Udacity is a two months online Nanodegree programme with flexible learning hours. The curriculum includes real-world projects built in partnership with top-tier companies, classroom mentorship, moderated forums, and personalized project review by experts for each project. The student hub and workspace have been made available for the convenience of the participants.
Yes
Udacity
There are no technical requirements. The course can be taken by professionals who are familiar with product management and basic data analysis.
Work experience
Candidates applying for this AI product manager certification course should only possess basic computer skills. They should be comfortable navigating online.
Certification Qualifying Details
The participants have to successfully complete all the required components of the program. After successfully completing the projects, their identity will be verified and an exit interview might be taken. Upon successful completion of this process, participants will receive an official Udacity certificate of achievement.
After completing the AI Product Manager certification syllabus, participants will learn:
The skill to develop a business case for the product with the Capstone Project.
Project: Medical Image Annotation
Project: Build a Model
Measuring Business Impact and Mitigating Bias
Project: Capstone Proposal
Participants who wish to enroll for the AL Product Manager certification by Udacity can follow the following process:
Step 1: Visit the URL of the programme
https://www.udacity.com/course/ai-product-manager-nanodegree--nd088
Step2: Click on the Enroll now option on the right side of the screen.
Step 3: You will be redirected to the bottom of the page. Click on the START FREE TRIAL option. After the 7-day free trial ends the participants have to pay the programme fees.
Step 4: The participants are required to sign up with Udacity in order to complete the checkout procedure.
Step 5: Once the account is made participants will be able to take to the order details page to continue with checkout. Participants can put in a coupon code if they have any in the coupon code section. After the coupon has been applied click on the CONTINUE WITH CHECKOUT option.
Step6: You will be taken to the last page to complete the order. Click on the COMPLETE ORDER option at the bottom of the page. After 7days fees will be charged for the programme.
Candidates can easily gain knowledge with respect to Scholarships by clicking on https://udacity.zendesk.com/hc/en-us/categories/360002443511-Scholarship-Programs
Post this, click on ‘Notify Me’ and fill out the form. Click on submit.
After the details are sent, the candidates will start receiving notifications for the scholarships that have been uploaded on the website.
The course aid the learners to narrow down the gap between their learning and career goals. The AI Product Manager certification course is a two-month programme designed for aspiring AI Product Managers who wish to gain knowledge about AI technology and learn as to how to leverage AI in the business world. It intends to train practicing product managers to build AI-powered products and use them to derive profitability from the business.
Other AI Product Manager Certification benefits include a well-structured course. The syllabus covers Introduction to AI in business, building a model, creating a dataset, measuring impact, and updating models. It has been built in a way to ensure that the participants by testing machine learning models, scoping datasets, and crafting a proposal for new products powered by AI develop fluency in AI concepts. Participants will be asked to review case studies and examples which will enable them to understand how to construct metrics to compute the business value for a proposed product. Student Hub has been made available to interact with fellow students and auto-graded quizzes to check the understanding of the learned concepts. The AI Product Manager online course provides technical mentor support, career guidance, interview services and helps build resumes also.
Ms Alyssa Simpson Rochwerger Product Leader Freelancer
Ms Meeta Dash VP of Product Freelancer
B.E /B.Tech, MBA
Mr Kiran Vajapey HCI Developer Freelancer
Other Masters
Ms Kirsten Gokay Product Manager Freelancer
Other Bachelors
Ms Andrea Butkovic Product Manager Freelancer
The AI Product Manager training course includes curriculum and content to support 3 projects. Each project will be reviewed and feedback will be given. The participants will be asked to resubmit the projects until they pass the project.
No specific hardware or software requirements are mentioned in the AI Product Manager online course, other than those given on Udacity's general Technology Requirements page.
There is no application. AI Product Manager Certification which is a Nanodegree program does not require any specific experience or background.
The Career Portal is a customised job search guide. It gives the participants access to personalized feedback on their resume, cover letter, LinkedIn profile and curated tips and guides for interviews.
You can cancel a project submission within the first 10 minutes of submission, and only if it has not been assigned to a project reviewer yet. Once a project has been taken up for review, you will not be able to cancel their submission.
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