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Product Management Exercises
United States
เข้าร่วมเมื่อ 23 ก.ย. 2019
Product Management Exercises is the best place to get help preparing for product manager job interviews. Product Management Exercises has the largest number of product manager interview questions and answers with interview guides for each type of question and helps its members schedule mock interviews with each other and get interivew preparation coaching.
Learn more at www.productmanagementexercises.com
Learn more at www.productmanagementexercises.com
Workshop: Build Multi-Agent Workflows with Low-Code Interfaces - AI PM Community Session #61
Become a world-class AI product manager by joining our AI/ML Product Management Cohort. Visit our page to learn more and secure your spot now 👇👇👇
www.productmanagementexercises.com/ai-product-manager
Led by Ankit Raheja, this session teaches how to build sophisticated multi-agent AI first workflows using intuitive, low-code interfaces. Participants were empowered to design, implement, and manage complex automated processes with ease, advancing workflow automation through AI.
If you wish to participate in our community sessions, we are offering our AI PM community sessions for free and open to the public every Friday at 9:00 AM PST. Don't miss out on this incredible opportunity to grow in the AI product management field.
Visit the AI PM Community sessions page to learn more:
final.productmanagementexercises.com/public-ai-product-management-community-sessions
Become a world-class AI Product Manager!
Join our 4-week live online program with a small group of other product managers, learn the necessary concepts for navigating through the AI/ML space and being an effective PM, get year-round access to expert workshops, learning material, and coaching to help you become a great AI/ML product manager, and gain lifetime access to a community of high-caliber peers for networking and support in the AI/ML community.
Visit the AI/ML Product Management program to learn more:
www.productmanagementexercises.com/ai-product-manager?
##aidevelopment #mlprojects #aiexploration #techenthusiast #learningai #aitechnology #programmingai #productmanager #aiproductmanager #artificialintelligence #productmanagement #pmcommunity #machinelearning #technology #innovation #communitysession #workshop hashtag#machinelearning hashtag#aiagents
www.productmanagementexercises.com/ai-product-manager
Led by Ankit Raheja, this session teaches how to build sophisticated multi-agent AI first workflows using intuitive, low-code interfaces. Participants were empowered to design, implement, and manage complex automated processes with ease, advancing workflow automation through AI.
If you wish to participate in our community sessions, we are offering our AI PM community sessions for free and open to the public every Friday at 9:00 AM PST. Don't miss out on this incredible opportunity to grow in the AI product management field.
Visit the AI PM Community sessions page to learn more:
final.productmanagementexercises.com/public-ai-product-management-community-sessions
Become a world-class AI Product Manager!
Join our 4-week live online program with a small group of other product managers, learn the necessary concepts for navigating through the AI/ML space and being an effective PM, get year-round access to expert workshops, learning material, and coaching to help you become a great AI/ML product manager, and gain lifetime access to a community of high-caliber peers for networking and support in the AI/ML community.
Visit the AI/ML Product Management program to learn more:
www.productmanagementexercises.com/ai-product-manager?
##aidevelopment #mlprojects #aiexploration #techenthusiast #learningai #aitechnology #programmingai #productmanager #aiproductmanager #artificialintelligence #productmanagement #pmcommunity #machinelearning #technology #innovation #communitysession #workshop hashtag#machinelearning hashtag#aiagents
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Design a Supermarket for Elderly People | Microsoft PM Mock Interview
มุมมอง 15519 ชั่วโมงที่ผ่านมา
📋 To ace your PM job interview, check out www.productmanagementexercises.com/?.com& In this video, Shravan Shankar, Principal PM at Microsoft, participates in a mock interview led by Bijan Shahrokhi, founder of PM Exercises. We take a step-by-step approach to tackling the product design question: ‘Design a Supermarket for Elderly People.’ The discussion covers clarifying questions, identifying ...
Mastering Prompt Engineering for AI Product Managers - AI PM Community Session #60
มุมมอง 29514 วันที่ผ่านมา
Become a world-class AI product manager by joining our AI/ML Product Management Cohort. Visit our page to learn more and secure your spot now 👇👇👇 www.productmanagementexercises.com/ai-product-manager Led by our lead instructor, Kai Wang, this workshop allowed AI product managers to collaborate in refining and enhancing the prompts used by Product Monkey AI and submitted to GPT-4o. Participants ...
Privacy Compliant Machine Learning Models - AI PM Community Session #59
มุมมอง 20914 วันที่ผ่านมา
Become a world-class AI product manager by joining our AI/ML Product Management Cohort. Visit our page to learn more and secure your spot now 👇👇👇 www.productmanagementexercises.com/ai-product-manager During this session, led by Prachi Wadekar, an AI Product Manager at Pinterest, we went over the evolution of private ML models, on-device and client-side machine learning, and their benefits and l...
How to Use AI to Automate Workflow - AI PM Community Session #58
มุมมอง 16428 วันที่ผ่านมา
Become a world-class AI product manager by joining our AI/ML Product Management Cohort. Visit our page to learn more and secure your spot now 👇👇👇 www.productmanagementexercises.com/ai-product-manager This session, run by Ioannis Bakagiannis, founder of Knitly, provided an overview of AI-native design principles in workflow automation. If you wish to participate in our community sessions, we are...
Workshop Develop an AI Data Strategy - AI PM Community Session #57
มุมมอง 270หลายเดือนก่อน
Become a world-class AI product manager by joining our AI/ML Product Management Cohort. Visit our page to learn more and secure your spot now 👇👇👇 www.productmanagementexercises.com/ai-product-manager This workshop, led by Riya Gayasen (AI Product Lead), equipped AI product managers with the essential skills to develop and implement effective AI data strategies aligned with business goals. Parti...
Principles of Building AI First Products - AI PM Community Session #56
มุมมอง 325หลายเดือนก่อน
Become a world-class AI product manager by joining our AI/ML Product Management Cohort. Visit our page to learn more and secure your spot now 👇👇👇 www.productmanagementexercises.com/ai-product-manager Led by Chinmaya Madan, AI product manager at Microsoft, this session explored how to design products with an AI-first mindset, which includes collecting the right data and designing intuitive smart...
Workshop: Dealing with GenAI Trade-offs - AI PM Community Session #55
มุมมอง 252หลายเดือนก่อน
Become a world-class AI product manager by joining our AI/ML Product Management Cohort. Visit our page to learn more and secure your spot now 👇👇👇 www.productmanagementexercises.com/ai-product-manager Join Bijan Shahrokhi, CEO of PM Exercises, for a hands-on workshop on working through trade-off decisions in building AI products. The session covered choosing the right ML model: crafting a custom...
Regulatory Frameworks and Legal Risks in AI - AI PM Community Session #54
มุมมอง 1622 หลายเดือนก่อน
Become a world-class AI product manager by joining our AI/ML Product Management Cohort. Visit our page to learn more and secure your spot now 👇👇👇 www.productmanagementexercises.com/ai-product-manager Led by Joon Kim, who teaches Law and Regulation of Artificial Intelligence at Cornell University, this session provided a high-level overview of the latest regulatory developments in AI and assesse...
Workshop: Create AI Agents as AI Product Managers - AI PM Community Session #53
มุมมอง 4492 หลายเดือนก่อน
Become a world-class AI product manager by joining our AI/ML Product Management Cohort. Visit our page to learn more and secure your spot now 👇👇👇 www.productmanagementexercises.com/ai-product-manager Participants learned how to build and leverage multi-agent AI systems to create one-person billion-dollar startups and enterprise companies. This session was led by AI Product Manager, Ankit Raheja...
AI Product Manager Workshop: Fine-tune Your ML Model - AI PM Community Session #52
มุมมอง 3422 หลายเดือนก่อน
AI Product Manager Workshop: Fine-tune Your ML Model - AI PM Community Session #52
Building an AI First Workout App - AI PM Community Session #51
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Building an AI First Workout App - AI PM Community Session #51
Workshop: Build RAGs as AI Product Managers - AI PM Community Session #50
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Workshop: Build RAGs as AI Product Managers - AI PM Community Session #50
Workshop: GenAI API Integrations in Product Management - AI PM Community Session #49
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Workshop: GenAI API Integrations in Product Management - AI PM Community Session #49
Acing the AI PM Interview - AI Product Management Cohort
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Acing the AI PM Interview - AI Product Management Cohort
Getting Hired Funnel - AI Product Management Cohort
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Getting Hired Funnel - AI Product Management Cohort
Building AI Strategy for a Mature Product - AI PM Community Session #48
มุมมอง 3923 หลายเดือนก่อน
Building AI Strategy for a Mature Product - AI PM Community Session #48
AI Product Management Skill Sets - AI Product Management Cohort
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AI Product Management Skill Sets - AI Product Management Cohort
How to Pass Evaluation Phase in an AI PM Interview - AI Product Management Cohort
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How to Pass Evaluation Phase in an AI PM Interview - AI Product Management Cohort
Using ML for Customer Retention by AI Product Managers - AI PM Community Session #47
มุมมอง 3053 หลายเดือนก่อน
Using ML for Customer Retention by AI Product Managers - AI PM Community Session #47
Workshop: AI Recommendation Systems - AI PM Community Session #46
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Workshop: AI Recommendation Systems - AI PM Community Session #46
AI Product Ideation - AI PM Community Session #45
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AI Product Ideation - AI PM Community Session #45
The Journey of Product Monkey AI - Lessons Learned - AI PM Community Session #44
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Lessons from Building an AI Product - AI PM Community Session #43
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How to Become an AI Product Manager - AI PM Community Session #42
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Bias in AI:Understanding and Mitigating Risks - AI PM Community Session #41
มุมมอง 3375 หลายเดือนก่อน
Bias in AI:Understanding and Mitigating Risks - AI PM Community Session #41
Responsible AI: Ethical Frameworks for Product Managers - AI PM Community Session #40
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Prompt Engineering for Product Managers - AI PM Community Session #39
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AI Coding Assistant for Product Managers - AI PM Community Session #38
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AI Coding Assistant for Product Managers - AI PM Community Session #38
A Deep Dive into Retrieval Augmented Generation - AI PM Community Session #37
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A Deep Dive into Retrieval Augmented Generation - AI PM Community Session #37
What makes layoffs okay? Understand that AI will catapult success in so many ways, but can AI address alternatives to people getting laid off first?
great content, thank you so much for sharing!!
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
Amazing, had never seen this side of Machine learning/AI models and their applications.
Any chance the google doc can be shared?
It is very apparent that this question was given to him before the call, and he's not coming in blind. Look at him check out a doc on the screen at every single step, which of course, has the framework on PM exercises. This is not an actual mock interview.
you can give me repo or this notebook or not ?
Perhaps it would have helped if Chris would have asked initially, if this is for Web or Mobile App. I felt there was an assumption while he was comparing G - Cal with native calendar of the phone.
Hello I need document you mentioned in video Please provide me
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
Please share a notebook/video with the Collaborative approach for recommendation systems
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
That was cool! , Can I just send all the vector embeddings at once to the LLM and then query the model? This will reduce the tokens sent to LLMs., I am currently splitting the PDF into smaller chunks, uploading it to GPT 4o and prompting GPT 4o to consider all the split docs as one doc. So far, I am getting good results for my prompts
It was a wonderful session, I have one question, lets say there is a 600-page document, I want to perform RAG operation with two models 'GPT 4o' and 'OLLAMA-3(local)', in both cases I create my own vector database locally before querying the model, so once I share my vector database, is my data safe (meaning, can anyone else query my context after sharing vdb)
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
I think initially it was told Govt body and then the segment was pointing to dog owners? Felt digressed and couldn't hold the attention.
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
great content, can you improve the sound somehow?!
A few questions/suggestions: 1. Shouldn't the laundry list of proposed metrics be prioritized by some logidc and a North Star metric selected? I did not hear a summary/recommendation. 2. Shouldn't the North Star metric be related or be the same as the NS for FB Feed, which is time spent? The candidate does a good job explaining the value of the reactions to the user, e.g. a less fatiguing browsing experience, but there is no connection between the value and the NS metric. 3. Finally, shouldn't the candidate pick some counter-metrics to ensure that the proposed metrics are not "gamed" or are not obscuring the real picture. I think, the interviewer captured this by suggesting to look at the segments of the users who adopt the reactions feature, in order not to obscure a spike in reactions per post per user coming from a small subset of users. Overall, I think, the interviewer feedback was on the money.
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
I am enjoying this. It has been very terse honing skills in product management and been a medical student. I think I would just stick to this channel and my LinkedIn learning. I would be glad if there any other resources you can share to make the journey easier and merrier.
Hi Ohida, We're glad you are finding value in our content. :) You can check out our website to better prepare for your journey. Visit PM Exercises here: www.productmanagementexercises.com/ We wish you the best of luck on your journey in product management!
🎯 Key Takeaways for quick navigation: 00:00 *📝 Introduction to Retrieval-Augmented Generation (RAG)* - Brief introduction to the workshop and RAG. - Explains the motivation for using RAG due to limitations of LLMs. - Overview of how RAG combines LLMs with contextual information to improve responses. 01:06 *🏗️ Architecture of RAG System* - Explanation of RAG system architecture. - Embeddings are stored in a vector database and queried for responses. - Example use case: Financial analysis on SEC 10K forms. 03:44 *📂 Setting Up the RAG System* - Step-by-step setup of the RAG system for the workshop. - Installation of necessary libraries and dependencies. - Initial setup of vector database using ChromaDB and Llama Index. 05:50 *🔄 Chunking Strategy and Embedding Creation* - Simple chunking strategy using paragraph-based chunks. - Discussion on different chunking strategies and their trade-offs. - Initialization of embedding models and storing embeddings in the vector database. 09:38 *💬 Querying the RAG System* - Demonstration of querying the RAG system with financial questions. - Example questions related to Apple's financial health. - Handling queries and generating responses using the RAG setup. 12:01 *📊 Evaluating and Visualizing Results* - Discussion on evaluation metrics for RAG models. - Mention of popular libraries for evaluation. - Brief talk on the visualization of results and the complexity involved. 27:49 *☁️ Comparing Cloud and Local Deployment for LLMs* - Discussion on the differences between running LLMs locally versus on the cloud. - Cloud solutions handle infrastructure and scaling. - Local deployments require managing LLMOps and infrastructure. 28:31 *🔄 Automating Model Testing* - Approaches to automate the testing of model responses. - Using benchmark datasets to evaluate model performance. - Challenges in ensuring consistent confidence in model responses. 30:24 *🔧 Controlling Model Output* - Techniques to control the quality of model outputs. - Adjusting temperature settings to manage response confidence. - Trade-offs between performance and accuracy. 33:22 *🏆 Evaluation Metrics for RAG Models* - Evaluation metrics used to measure RAG model performance. - Libraries like RAGAS provide standard metrics for evaluation. - Importance of testing on diverse datasets for reliable metrics. 37:05 *🔍 Using Existing Vector Databases* - Leveraging existing vector databases for RAG implementation. - Options for integrating RAG with current vector databases. - Benefits of using cloud-based vector databases for scalability. 40:24 *🛡️ Ensuring Data Security* - Strategies to ensure data security when using RAG. - Anonymizing sensitive information before processing. - Using on-premise solutions to maintain data privacy. 44:57 *🏢 Companies Implementing RAG* - Examples of companies effectively implementing RAG. - Mention of Deep Judge in the legal space. - Importance of exploring successful RAG implementations for inspiration. Made with HARPA AI
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
Fantastic!... really helps any AI/ML PM to consider these factors as acceptance criteria.
We're glad you enjoyed it! In case you are interested, you can join our weekly AI PM community for free. Visit our page here. www.productmanagementexercises.com/Public-AI-Product-Management-Community-Sessions
How do I become a part of this cohort? I am so interested and on the path for the AI Product Management Jobs.
Hi, we're happy that you found our cohort interesting through this video! We are still accepting members for our 6th AI/ML Product Management cohort happening this week. Visit our page to learn more: www.productmanagementexercises.com/ai-product-manager
In case you are interested in becoming an AI product manager, check out our AI product manager learning program. It's the most comprehensive program with lots of hands-on live workshops: www.productmanagementexercises.com/ai-product-manager
This video gives me hope. I am in a very similar boat. I am really curious to learn how he got the consulting gig going as a PM. I would really like to begin my consulting firm in the SaaS/AI PM space.
Can you post the collab notebook used in this lesson?
Friday May 10th is the last day to take advantage of joining our upcoming cohort on AI Product Management. Use the link below to apply to enroll www.productmanagementexercises.com/ai-ml-product-manager
This is probably the best overview of AI product management I've come across
Glad you liked it! If you are interested, these weekly sessions are free and everyone is welcome. Visit our community sessions page to learn more: www.productmanagementexercises.com/Public-AI-Product-Management-Community-Sessions
Friday May 10th is the last day to take advantage of joining our upcoming cohort on AI Product Management. Use the link below to apply to enroll 👇 www.productmanagementexercises.com/ai-ml-product-manager
Do you have free course to provide
May 10th is the last day to take advantage of joining our upcoming cohort on AI Product Management. Use the link below to apply to enroll 👇 www.productmanagementexercises.com/ai-ml-product-manager
Monday April 22nd is the last day to take advantage of the 5% discount for our upcoming cohort on AI Product Management. Use the link below to apply to enroll 👇👇👇 www.productmanagementexercises.com/ai-product-manager
Monday April 22nd is the last day to take advantage of the 5% discount for our upcoming cohort on AI Product Management. Use the link below to apply to enroll 👇👇👇 www.productmanagementexercises.com/ai-product-manager
Monday April 22nd is the last day to take advantage of the 5% discount for our upcoming cohort on AI Product Management. Use the link below to apply to enroll 👇👇👇 www.productmanagementexercises.com/ai-product-manager
Monday April 22nd is the last day to take advantage of the 5% discount for our upcoming cohort on AI Product Management. Use the link below to apply to enroll 👇👇👇 www.productmanagementexercises.com/ai-product-manager
Thank You, Priyanka, you articulated bias concepts clear and loud. Your lecture immensely helped me internalize these concepts.
Interesting way of learning through examples
I think this is the best way to learn since many won't know the full capability of LLMs. When one sees the example, it opens their mind to the realm of possibilities.
Hello, I hope you are well. I have researched your TH-cam channel {Product Management Exercises}. Your content is excellent but I have found many reasons why your TH-cam channel is not growing appropriately and why your Subscribers, Views, Likes, and Comments are not increasing. Your SEO Optimization Score is Very Low, Proper search engine optimization (SEO) can significantly impact ranking. Your channel is not optimized for relevant keywords, it may not appear in search results or suggested videos. You are not Consistently uploading videos. Your Engagement Metrics are very few. And you are not maintaining Metadata Optimization. Your channel's Audience Retention is very low. Also, your video is not being Correctly Promoted on other Social Media. If you can solve those problems correctly you will get lots of Organic Traffic and Engagement day by day on your TH-cam channel which will increase your Exposure more than before. Can we discuss how to grow your TH-cam channel via E-mail or Zoom Meeting? Regards, Riad Ahmed Faysal. Feel free to contact me: Email: hello.riad37@gmail.com WhatsApp/Telegram: +8801576553705
How about a good summary from the entire session as the speech isn't that clear
1/10 all over the place
The answer should be around DAU/WAU/MAU 🤷🏻♂️
fuck yes this is amazing
Hi ,How can I join the AI PM community ?