AI for Product Manager

Learn the power of AI to define the right path for teams by management

Duration

2 Days

Level

Basic Level

Design and Tailor this course

As per your team needs

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Artificial intelligence is changing the way we work and live, so this course will help in enabling product managers and techno-functional professionals in understanding the Digital Intelligent Automation space, how AI is creating tremendous value in various industries such as Banking, Insurance, Healthcare, Retail and Automotive industries across the world.

What you will learn from this course

What is AI
Al vs ML vs Deep Learning vs NLP vs. Data Science
Data Science Terminologies
AI Applications
AI Algorithms
AI implementation techniques -AI strategy, how to start AI project, building AI team, generating ROI from AI project

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What is Al?

Overview of Al ecosystem
Al vs ML vs Deep Learning vs NLP vs. Data Science

Why Now?

Why Al is applicable today?

Data and Al

A summary of keywords and what they mean

Data Science Terminologies

Data Science Workflow

What does a data scientist do?
AI/ML is a repetitive process
Feature engineering
What is time-consuming in building an Al system
What makes a data scientist a killer data scientist?

BlackBox vs GlassBox

Explainable Al vs Unexplainable Al
Is a Blackbox approach useful?

Accuracy and Performance Metrics

Evaluating Al algorithms performance can be tricky
Is Accuracy enough? Can it mislead us?
What other metrics to look at?

ROI Evaluation for an Al Application

It is dependent on the business case
New insights
Accuracy improvements
Manual time savings

Al Algorithms (Concepts) - Supervised vs Unsupervised Learning

Decision trees
Bayesian methods
Regression
KNN
Neural networks and deep learning

Al Applications

Forecasting Algorithms use cases
Recommendation Engines use cases
Classification vs. Clustering + use cases
Chatbots and Virtual Agents use cases
Deep Learning use cases
Image and Video Processing use cases
Time series use cases

Al in Real World

Maintenance and updating Al models
How to get better over time?

Can Al Be Biased?

The consequences of bias
How to discover the biases
How can we prevent them

Project Management of an Al Project

What is actually time-consuming for data scientists
Time estimates for each step of the Al/ML process
A/B testing of AI/ML models
Production considerations
What can go wrong with a project plan

Al product Strategy and Communication

There is more than one way to build an Al product
How the design can affect the ROI
How to Communicate with Stakeholders
What is hype and what is really deliverable

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AI for Product Manager

Duration

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