Introduction to Artificial Intelligence : AI For Everyone

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Online

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues to take. In this course, you will learn:The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
What AI realistically can and cannot do
How to spot opportunities to apply AI to problems in your own organization
What it feels like to build machine learning and data science projects 
How to work with an AI team and build an AI strategy in your company
How to navigate ethical and societal discussions surrounding AIThough this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

The meaning behind common Artificial Intelligence terminology, including neural networks, machine learning, deep learning, and data science
What Artificial Intelligence realistically can and cannot do
How to spot opportunities to apply AI to problems in your own organization
What it feels like to build machine learning and data science projects
How to navigate ethical and societal discussions surrounding AI
How to work with an AI team and build an AI strategy in your company
Workflow of Machine Learning projects
AI terminology
AI strategy
Workflow of Data Science projects

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Artificial Intelligence
  • Workflow
  • Project
  • Team Training

Course programme

What is AI ? 8 lectures 01:16:46 Machine Learning What is Data ? AI terminology What makes an AI company What Machine Learning can and cannot do part 1 What Machine Learning can and cannot do part 2 Non-technical explanation of Deep Learning part 1 Non-technical explanation of Deep Learning part 2 Session one Quiz What is AI ? 8 lectures 01:16:46 Machine Learning What is Data ? AI terminology What makes an AI company What Machine Learning can and cannot do part 1 What Machine Learning can and cannot do part 2 Non-technical explanation of Deep Learning part 1 Non-technical explanation of Deep Learning part 2 Session one Quiz Machine Learning Machine Learning Machine Learning Machine Learning What is Data ? What is Data ? What is Data ? What is Data ? AI terminology AI terminology AI terminology AI terminology What makes an AI company What makes an AI company What makes an AI company What makes an AI company What Machine Learning can and cannot do part 1 What Machine Learning can and cannot do part 1 What Machine Learning can and cannot do part 1 What Machine Learning can and cannot do part 1 What Machine Learning can and cannot do part 2 What Machine Learning can and cannot do part 2 What Machine Learning can and cannot do part 2 What Machine Learning can and cannot do part 2 Non-technical explanation of Deep Learning part 1 Non-technical explanation of Deep Learning part 1 Non-technical explanation of Deep Learning part 1 Non-technical explanation of Deep Learning part 1 Non-technical explanation of Deep Learning part 2 Non-technical explanation of Deep Learning part 2 Non-technical explanation of Deep Learning part 2 Non-technical explanation of Deep Learning part 2 Session one Quiz Session one Quiz Session one Quiz Session one Quiz Building AI Projects 8 lectures 01:05:55 Session two Introduction Workflow of a machine learning project Workflow of a data science project Every job function needs to learn how to use data How to choose an AI project (Part 1) How to choose an AI project (Part 2) Working with an AI team Technical tools for AI teams Session Two Quiz Building AI Projects 8 lectures 01:05:55 Session two Introduction Workflow of a machine learning project Workflow of a data science project Every job function needs to learn how to use data How to choose an AI project (Part 1) How to choose an AI project (Part 2) Working with an AI team Technical tools for AI teams Session Two Quiz Session two Introduction Session two Introduction Session two Introduction Session two Introduction Workflow of a machine learning project Workflow of a machine learning project Workflow of a machine learning project Workflow of a machine learning project Workflow of a data science project Workflow of a data science project Workflow of a data science project Workflow of a data science project Every job function needs to learn how to use data Every job function needs to learn how to use data Every job function needs to learn how to use data Every job function needs to learn how to use data How to choose an AI project (Part 1) How to choose an AI project (Part 1) How to choose an AI project (Part 1) How to choose an AI project (Part 1) How to choose an AI project (Part 2) How to choose an AI project (Part 2) How to choose an AI project (Part 2) How to choose an AI project (Part 2) Working with an AI team Working with an AI team Working with an AI team Working with an AI team Technical tools for AI teams Technical tools for AI teams Technical tools for AI teams Technical tools for AI teams Session Two Quiz Session Two Quiz Session Two Quiz Session Two Quiz Building AI in your company 8 lectures 01:10:38 Session Three Introduction Case study : Smart speaker Case study : Self-driving car Example roles of an AI team AI Transformation Playbook (Part 1) AI Transformation Playbook (Part 2) AI pitfalls to avoid Taking your first step in AI Session Three Quiz Building AI in your company

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Introduction to Artificial Intelligence : AI For Everyone

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