Grokking AI for Engineering & Product Managers
INTERACTIVE COURSE

Grokking AI for Engineering & Product Managers

Beginner

46 Lessons

5h

Certificate of Completion

AI-powered Learning:

AI Explanations
AI Explanations
Grokking AI for Engineering & Product Managers

This course includes:

111 Illustrations

Course Overview

In one form or the other, AI is going to be infused in all the tech products. Meaning, that in order to stay a relevant leader, it has become essential to have a solid, broad understanding of AI. While you may not be implementing the solution, you need to speak the language of AI. Whether you’re leading a team on creating AI solutions, or you just want a better understanding of AI, then this course is for you. In this course, I have deconstructed the concepts most relevant for you. You will start by lea...Show More

Course Content

1

The Fundamentals

Basics of AI I
Basics of AI IIThe Highs and Lows of AI
Understanding Machine LearningSupervised LearningSupervised Learning: Algorithms and Business Use Cases ISupervised Learning: Algorithms and Business Use Cases IISupervised Learning: Algorithms and Business Use Cases IIIUnsupervised LearningUnsupervised Learning: Algorithms and Business Use CasesReinforcement Learning
Deep LearningConvolutional Neural Networks: What, When, How and WhereRecurrent Neural Networks: What, When, How and WhereNatural Language Processing: Word EmbeddingsNatural Language Processing: BERTRecommendation SystemsTransfer LearningEvaluation Metrics IEvaluation Metrics IIQuiz
2

AI in Practice

Creating AI Solutions That Users TrustCreating Great AI Products: The Rules
Key ML LessonsAI Infrastructure: OverviewAI Infrastructure: AI FrameworksAI Infrastructure: Cloud Services to Create AI Solutions IAI Infrastructure: Cloud Services to Create AI Solutions IIQuiz
3

Real Case Studies

Starbucks: The Millions of AI Infused Cups of CoffeeNetflix: Using AI To Give Us Better EntertainmentAmerican Express: AI and Credit CardsAI for Wildlife ConservationQuiz: Test Scenario
4

Responsible AI

Responsible AI Practices: IntroductionResponsible AI Practices: FairnessResponsible AI Practices: InterpretabilityResponsible AI Practices: PrivacyResponsible AI Practices: SecurityResponsible AI Practices: AddendumAI and Ethics: Case Studies
5

What's Next

Current State of AI in Numbers ICurrent State of AI in Numbers IIFuture of AIWhere to Next?Final thoughts
COURSE AUTHOR
Samia Khalid

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