AI 产品经理 v1.0.0

Nanodegree key: nd088-cn

Version: 1.0.0

Locale: en-us

驱动 AI 产品商业化落地，用 AI 为业务赋能，成为炙手可热稀缺人才

Content

Part 01 : Welcome to the Nanodegree

Module 01: 特殊说明
- Lesson 01: 特殊说明
  本纳米学位的课程内容和实战项目需要使用 Google 相关服务。
  - Concept 01: 特殊说明
Module 02: 学前指导 / First 5 mins
- Lesson 01: 服务说明 / Service Overview
  本部分包含重要的课程服务说明，请务必仔细阅读后，再展开后续内容学习。
  Below provides detailed descriptions of our services. Please read through before starting with subsequent learning.

Part 02 : Introduction to AI in Business

Learn the foundations of AI and how these technologies can learn from data and improve or inform product development.

Module 01: Introduction to AI and Machine Learning
- Lesson 01: Welcome
  - Concept 01: Welcome to the Course!
  - Concept 02: The Projects
- Lesson 02: Introduction to AI and Machine Learning
  Get an overview of AI and machine learning and where they are used in industry. This lesson covers terminology and applications of supervised learning, unsupervised learning, and neural networks.
Module 02: Using AI and Machine Learning in Business
- Lesson 01: Using AI and Machine Learning in Business
  How do you build a successful AI product? Learn which kinds of narrow business cases can stand to benefit the most from machine learning, and identify the components of an effective, AI product team.

Part 03 : Creating a Dataset

Build a custom data annotation job to create novel datasets.

Module 01: Creating a Dataset
- Lesson 01: Data Fit and Annotation
  Learn how data can affect the performance of a machine learning model and see how to create your own labeled dataset using FigureEight's annotation platform.
- Lesson 02: Project: Create a Medical Image Annotation Job
  Given a dataset and business goal, design your own data labeling job using Figure Eight’s platform.
  
  Project Description - Create a Medical Image Annotation Job
  
  Project Rubric - Create a Medical Image Annotation Job

Part 04 : Build a Model

Learn how to train and evaluate a neural network using automated machine learning tools.

Module 01: Build a Model
- Lesson 01: Training and Evaluating a Model
  Learn strategies for training a model from scratch or using transfer learning. Evaluate a model using machine learning tools, such as AutoML.
- Lesson 02: Project: Build a Model
  Build a classification model to classify images of chest xrays using Google AutoML, an automated machine learning tool.
  
  Project Description - Build a Model with Google AutoML
  
  Project Rubric - Build a Model with Google AutoML
- Lesson 03: Take 30 Min to Improve your LinkedIn
  Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.
  
  Project Description - Improve Your LinkedIn Profile
  
  Project Rubric - Improve Your LinkedIn Profile

Part 05 : Measuring Impact and Updating Models

As a product manager, you should be constantly looking to improve your machine learning models and product; learn strategies to mitigate bias, scale a product, and continuously update a model.

Module 01: Measuring Business Impact & Mitigating Bias
- Lesson 01: Measuring Business Impact & Mitigating Bias
  Learn best practices for measuring model success, strategies for mitigating unwanted bias in a model, and scaling a product so that it's available to a large audience.
- Lesson 02: Case Study: Video Annotation
  Review an end-to-end, AI product development cycle from solution ideation to prototyping and testing and finally, product launch (and continuous improvement) for a video annotation product.
Module 02: Project: Capstone Proposal
- Lesson 01: Project: Capstone Proposal
  Complete a proposal for a complete AI product of your own design; consider users, data source, design practices, and iteration over time.
  
  Project Description - Create an AI Product Business Proposal
  
  Project Rubric - Create an AI Product Business Proposal
  - Concept 01: Project Overview
  - Concept 02: Project Materials