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Introduction to Artificial Intelligence (AI)

Course 4700

  • Duration: 1 day
  • Sandbox: Yes
  • Language: English
  • 7 PMI PDUs
  • Level: Foundation
On-Demand Intro to AI Training Available

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In this hands-on Introduction to Artificial Intelligence course, we will introduce you to the key concepts in modern AI and discuss how they apply to you and your business. You will get “hands-on” with AI technologies and gain an appreciation of what is happening under the surface while discussing many of the challenges that are holding back the adoption of these tools. 

Introduction to Artificial Intelligence Delivery Methods

  • Online

Introduction to Artificial Intelligence Training Information

In this course, you will learn how to:

  • Discover how artificial intelligence can assist businesses.
  • Learn how machine learning models enable quick, reliable, and uniform decision-making.
  • Explore the fascinating world of deep learning, where computers gain the ability to interpret images in novel ways.
  • Understand the limitations of AI and the risks associated with its adoption.

After completing the “Introduction to AI” course, you will have the confidence to discuss and evaluate AI solutions.

Prerequisites

None.

Introduction to Artificial Intelligence Training Outline

In this module, we will define artificial intelligence, the different terms, and technologies available within AI, and discuss some of the constraints and limitations to those technologies.

Objectives:

  • What are the different terms the fall under Artificial Intelligence, and what do they mean to me?
  • How should we define “intelligence”?
  • What technology is available with AI?

How do machines make these fast, accurate, consistent decisions?

Objectives:

  • What is machine learning?
  • How can these technologies benefit an organisation?
  • Best practices associated with machine learning
  • How can you tell if a machine learning model is effective?

In this module, we delve into the realm of generative AI and its applications, focusing on the powerful tool known as ChatGPT. 

Objectives:

  • Understand the limitations and ethical considerations associated with generative AI technology.
  • Identify alternative generative AI tools and approaches available in the market.
  • Explore the versatility of generative AI by leveraging it to create both textual content and images.

In this module, we discuss the dangers of AI and how to keep yourself, and your organisation, safe while using these tools.

Objectives:

  • How do you secure Artificial Intelligence?
  • What are the risks of Artificial Intelligence?
  • Best practices for protecting your business, and your privacy

What happens when we delegate decision-making to the machines?

Objectives:

  • What types of biases drive from AI systems, and how can we mitigate those?
  • How does a business ensure they are being ethical while using AI?
  • What impact does AI have on society, and how do you navigate these impacts in a business context?

In this module, we sketch various AI-fueled scenarios, and consider how likely they are to come to fruition.

Objectives:

  • What is the threat of AI on humanity, on our businesses?
  • What does the future of work and business look like?
Get This Course 9 730 kr For Team Prices Call: +46 (0)8 506 668 00

  • 1-Day Instructor-Led Training

  • Hands-on Labs

  • After-Course Instructor Coaching Included

#4700
  • Guaranteed to Run - You can rest assured this class will not be canceled. Delivery format is subject to change – please call Customer Service if you have any questions.
    sep 22 15:00 - 22:30 CEST
    Virtual
  • okt 20 9:00 - 16:30 CEST
    Virtual
  • okt 20 15:00 - 22:30 CEST
    Virtual
  • okt 20 10:00 - 17:30 CEST
    Virtual
  • Guaranteed to Run - You can rest assured this class will not be canceled. Delivery format is subject to change – please call Customer Service if you have any questions.
    nov 17 15:00 - 22:30 CET
    Virtual
  • jan 8 10:00 - 17:30 CET
    Virtual
  • jan 8 9:00 - 16:30 CET
    Virtual
  • jan 20 15:00 - 22:30 CET
    Virtual
  • feb 17 15:00 - 22:30 CET
    Virtual
  • mar 16 14:00 - 21:30 CET
    Virtual
  • apr 9 10:00 - 17:30 CEST
    Virtual
  • apr 9 9:00 - 16:30 CEST
    Virtual
  • apr 27 15:00 - 22:30 CEST
    Virtual
  • jun 5 15:00 - 22:30 CEST
    Virtual
  • jul 6 15:00 - 22:30 CEST
    Virtual
  • aug 10 15:00 - 22:30 CEST
    Virtual

Scroll to view additional course dates

  • Bring this or any training to your organisation

  • Full-scale programme development

  • Delivered when, where, and how you want it

  • Blended learning models

  • Tailored content

  • Expert team coaching

#4700
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Introduction to Artificial Intelligence FAQs

This course targets non-technical users who need to engage with AI technologies or are interested in what AI offers.

The Introduction to Artificial Intelligence: Hands-On allows students to participate in the demonstrations, getting some hands-on training in addition to the demonstrations. You will gain some additional knowledge in AI technologies, such as the future of AI, security aspects around AI, and Image recognition.

Finally, the perks of being “in class”, a live instructor to answer questions after each module and a classroom full of peers to bounce situations and ideas off of.

Certification candidates and existing credential holders are responsible for reporting all Continuing Certification Requirements Program (CCR) activities to PMI (Project Management Institute). To report the completion of a Learning Tree course, you can use the Online PDU (Professional Development Units) Resources System.

  • Go to the PMI Continuing Certification Requirements System https://ccrs.pmi.org/
  • Log in with your username and password
  • Locate the claim code associated with your course in the table in this document
  • Click on “Report PDU for this activity”
  • Fill in the date started and date completed
  • Click on the box agreeing that this claim is accurate and then submit

PDU Information for This Course:

  • Total PDUs: 7
  • Ways of Working PDUs: 0
  • Power Skills PDUs: 0
  • Business Acumen PDUs: 7
  • PMI Claim Code: 1154NJ1VQQ

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