Design and Build AI Products by Gianluca Mauro

Design and Build AI Products

What's included?

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Contents

Welcome to the course!
4 mins
Identifying solid use cases for AI
1.1 - Introduction: what is an AI project?
7 mins
1.2 - How do I find AI projects?
8 mins
1.3 - Validating Business Value
9 mins
1.4 - Case study: the IBM listening typewriter and Apple testing Siri
6 mins
1.5 - From business needs to a ML project - The ML framing canvas
10 mins
1.6 - Common mistakes in using the ML framing canvas
8 mins
1.7 - Tying business and tech: defining KPIs
11 mins
1.8 - The 3 components of an AI project
3 mins
1.9 - Section summary: Identifying solid use cases for AI
9 mins
Downloadable resource - Machine Learning Framing canvas
Quiz - Identifying solid use cases for AI
Assignments - Identifying sold use cases for AI projects
Getting data for your AI project
2.0 - Introduction to data for ML projects
2 mins
2.1 - Choosing the right label for your project
13 mins
2.2 - Feature engineering: getting the right input for your model
6 mins
2.3 - Getting data for your project: how much do you need?
10 mins
2.4 - Getting data for your project: where do I get it?
7 mins
2.5 - Finding free data on the internet
12 mins
2.6 - Data labeling strategies
13 mins
2.7 - Can I use the data I have?
7 mins
2.8 - Case studies “from the trenches”
8 mins
2.9 - Section summary
6 mins
Quiz - Getting data for your AI project
Assignments - Getting data for your AI project
Building your AI model
3.1 - Building your project: the 3Bs strategies
7 mins
3.2 - Testing "Buy Solutions" - with case study
8 mins
3.3 - Testing "Borrow Solutions" - with case study
8 mins
3.4 - "Build" strategy: assembling AI teams
7 mins
3.5 - Evaluating feasibility: understanding if your project is easy, hard, or impossible
6 mins
3.6 - Section summary
5 mins
Quiz - Building your AI model
Assignments - Building your AI model
AI project Infrastructure
4.1 - Defining the channel of your project
9 mins
4.2 - Deploying a project
3 mins
4.3 - What makes deployment complex?
7 mins
4.4 - Section summary
5 mins
Quiz - AI project Infrastructure
Assignments - AI project infrastructure
Putting all together: developing a pitch for an AI project
5.1 - Defining a Minimum Viable Product (MVP) for your project
11 mins
5.2 - AI ethics
10 mins
5.3 - Managing your project: Why is AI project management hard?
8 mins
5.4 - Best practices for AI project management
9 mins
5.5 - The AI virtuous cycle
6 mins
5.6 - A template for pitching AI projects
7 mins
5.7 - AI fails
8 mins
5.8 - Section summary
8 mins
Downloadable resource - A framework to pitch AI projects
Assignment: developing your pitch.
From an AI project to an AI company
6.1 - Different approaches to AI projects
7 mins
6.2 - Prioritizing AI projects
6 mins
6.3 - Pushing AI in your company
7 mins
6.4 - Course conclusion
1 min