Autoplay
Autocomplete
Previous Lesson
Complete and Continue
AI Product Management
Introduction
Instructor Intros and Background (2:17)
Clarity Tool (7:37)
How to Access ProductHQ Community (3:22)
The Learning Process
The Process (2:56)
Comments (5:03)
Getting Feedback (1:24)
Giving Feedback (3:37)
Identify Your Capstone Idea
Capstone Project (1:00)
How to Choose Your Capstone (7:29)
Next Steps for Your Capstone
Accessing Miro Boards (1:15)
Making Your Assignments Accessible (0:52)
Introduction to AI Product Management
What is AI Product Management (3:35)
AI PM Skills & Traits (3:15)
AI Business Management
Managing AI Products (22:34)
AI Product Requirements (10:31)
AI Design Sprint (21:39)
AI Product Dev Lifecycle (28:58)
Generative AI Product Management (5:27)
Capstone Part - I
AI: Machine Learning Models
What is ML? (3:21)
Types of ML Model (2:35)
Phases for Building and Deploying a ML Model (1:19)
Machine Learning Models: Linear Models
Linear Regression (3:14)
Loss Function (2:05)
Gradient Descent (3:32)
Dataset Splits: Training, Validation, and Test Datasets (1:54)
Bias-Variance Tradeoff (1:40)
Regularization (2:08)
Logistic Regression (1:22)
Model Metrics (4:36)
Machine Learning Models: Other
Tree Models (1:58)
Clustering Models (1:33)
Capstone Assignment II
Machine Learning Models: Neural Networks & Deep Learning
Shruti Intro (1:17)
Module Intro (1:20)
Applications of Deep Learning in Daily Life (4:25)
History of Neural Network (3:22)
What is an Artificial Neural Network (3:16)
Types of Neural Networks (4:35)
Training of Neural Networks (2:29)
Natural Language Processing Models (1:41)
Computer Vision Models (2:03)
Capstone Part - III
Machine Learning Ops
Intro: Tasnim Tallman (0:47)
Module Intro (0:36)
System Design Considerations (6:13)
Key Decision Factors in Designing an ML System (8:03)
Machine Learning Tools (1:24)
Machine Learning Frameworks (1:58)
Data Management Tools (2:40)
Review (1:24)
Capstone Part - IV
AI Ethics
Intro: Charles Frye (0:52)
Structure Overview (0:49)
Tech's Ethical Crisis (1:01)
Alignment (7:03)
Tech Ethics (4:22)
ML Ethics (12:12)
AI Ethics (5:48)
Outro & Activity (3:17)
Capstone Part - V
How to Get Your Certificate?
Get Your Certificate
PM Interview
Gather Requirements (2:59)
Defining Metrics (2:38)
High-Level Architecture (2:14)
Offline Model Building (1:59)
Logging and Monitoring (1:27)
Bonus - Mock Interview Signup
PM Behavioral Interview
PM Behavioral Interview 1 (5:07)
PM Behavioral Interview 2 (9:29)
What's Next: ProductHQ AI Accelerator
How to Join No-Cost ProductHQ AI Accelerator
Types of ML Model
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock