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Artificial Intelligence (AI) Foundation Online (180 Days) Training Course

The Start To Your Career In AI And Machine Learning

Proctored Exam
180 Days Access
£495 (Excl. VAT)€569 (Excl. VAT)$619 (Excl. VAT)

Overview

Our Artificial Intelligence (AI) Foundation Online (180 Days) training course incorporates the building blocks of understanding AI to develop a portfolio using your newfound understanding of Machine Learning. It demonstrates how AI can be used for business and engineering and the benefits it can bring to your company.

If you would like immediate access, then please purchase the Artificial Intelligence (AI) Foundation Online (180 Days) on the Purple Griffon E-Learning Portal.

Instant Access Enquire Course Overview

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Why pay later?
  • Spread the cost of your training course
  • Choose a flexible repayment schedule up to 12 months
  • No interest, and no fees
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  • Must be a UK resident
  • Must be 18+ years old
  • Must have a UK bank account

Please Note: All training courses purchased with Knoma will be at full RRP and no discounts can be applied.

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Payment Details

Full payment is required before your elearning order can be processed. Once payment has been confirmed, the elearning order will be passed to our administration department for set-up and processing.

Access to Your E-Learning

A personal login for our Learning Management System will be created for you and you will receive an email containing details of the URL, username and password.

Please Note

* Depending on when the initial order is taken, it may take up to 48 hours to process.
* Your course access time will only trigger and commence when you first log in.

Course Syllabus

You will cover the following topics on our Artificial Intelligence (AI) Foundation Online (180 Days) training course:

1. Ethical And Sustainable Human And Artificial Intelligence (25%)

After this section of the course, you will gain an understanding of the following:

• Recall the general definition of Human Intelligence and Artificial Intelligence
• Make parallels between ‘learning from experience’ and Machine Learning (ML) via Tom Mitchell’s definition
• Understand that ML is a significant contribution to the growth of AI
• Describe how AI is part of Universal Design and The Fourth Industrial Revolution
• Describe a modern approach to human logical levels of thinking using Robert Dilts’ Model.
• Describe the three fundamental areas of sustainability.

2. Applying the Benefits, Challenges, And Risks of Machine Learning (30%)

At the end of this section, you will have completed over half of the course material. By now, and in combination with what you’ve learned in the previous section about AL and ML, you will be able to apply and understand the following:

• Explain the benefits of Artificial Intelligence
• List advantages of machine and human-machine systems
• Describe the challenges of Artificial Intelligence
• General examples of AI limitations compared to human systems
• General ethical challenges AI raises
• Demonstrate understanding of the risks of Artificial Intelligence
• Give at least one general example of the risks of AI
• Identify a typical funding source for AI projects
• List opportunities for AI
• Describe how sustainability relates to AI and how our values will drive the use of AI and change our society.

3. An Introduction To Machine Learning Theory And Practice (35%)

After this section of the course is complete, you will be able to apply your knowledge from the previous sections and understand the following:

• Demonstrate an understanding of the AI intelligent agent description
• Identify the differences between AI and ML
• List the four rational agent dependencies
• Describe agents in terms of performance measure, environment, actuators, and sensors
• Describe four types of agent: reflex, model-based reflex, goal-based, and utility-based
• Give typical examples of Machine Learning in the following contexts: Business, Social (Media, Entertainment), Science
• Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality
• Recall the basic theory of ML
• Describe the basic schematic of a neural network
• Know how to build a practical Machine Learning Toolkit

4. The Management, Roles And Responsibilities Of Humans And Machines. (10%)

Completing this section finalises your understanding of all aspects required to pass the Artificial Intelligence (AI) Foundation exam. In this final section, you will understand:

• Demonstrate an understanding that Artificial Intelligence (in particular, Machine Learning) will drive humans and machines to work together
• List future directions of humans and machines working together
• Describe a ‘learning from experience’ Agile approach to projects
• Describe the type of team members needed for an Agile project

Learning Outcomes

Our Artificial Intelligence (AI) Foundation Online (180 Days) training course will teach you about AI, Machine Learning and Neural Networks - you can use this knowledge in your current or future career.

You will explore the AI and technological requirements to develop a machine learning portfolio and continue with self-study beyond the scope of our Artificial Intelligence (AI) Foundation Online (180 Days) training course.

Who Should Attend

Our Artificial Intelligence (AI) Foundation Online (180 Days) training course is focused on professionals internationally with an interest in, or a need to implement AI in an organisation. Professionals working in areas such as Science, Engineering, Knowledge Engineering, Finance, or IT services.

The following roles should be interested:

• Engineers
• Scientists
• Professional Research Managers
• Chief Technical Officers
• Chief Information Officers
• Organisational Change Practitioners & Managers
• Business Change Practitioners & Managers
• Service Architects & Managers
• Program & Planning Managers
• AI Project Managers
• Service Provider Portfolio Strategists / Leads
• Process Architects & Managers
• Business Strategists & Consultants
• Web Page Developers

What's Included

Our Artificial Intelligence (AI) Foundation Online (180 Days) training course includes:

• Artificial Intelligence Quizzes
• Artificial Intelligence Exercises
• The Official Artificial Intelligence Foundation Syllabus
• BCS Artificial Intelligence (AI) Foundation Sample Exam

Technical Requirements

WINDOWS

• Screen Resolution: 1020 x 768 or above
• Network/Internet Connection: 4Mb (megabits) or above
• Windows XP or higher
• Microsoft Internet Explorer 6+
• Firefox 3+
• Safari 4+

    MAC

    • Screen resolution: 1020 x 768 or above
    • Network/Internet connection: 4Mb (megabits) or above
    • Mac OS X 10 or higher
    • Firefox 3+
    • Safari 4+

      Purple Griffon advise you that you use the Firefox Web Browser for the best educational experience and have compatible speakers or headphones.

      Please Note: You will be required to have some form of photo ID (passport, government ID or equivalent) for the examination. If the examination includes a document to be printed, then please ensure that you have a printer in the room where you will be sitting the exam. Some examination institutes will ask you to have a small mirror or reflective surface and the proctor will request that you hold this up to show there is nothing attached to the webcam or even the laptop itself. Also, Adobe Flash Player and Shockwave must also be installed on your desktop or laptop prior to the examination.

      For a successful Artificial Intelligence (AI) Foundation online exam, you will need:

      MINIMUM RECOMMENDED
      Web Camera 640×480 resolution 1280×720 resolution
      PC Users Windows XP Windows 7
      Mac Users Mac OS X or higher Mac OS X 10.7 Lion
      Internet Download Speed .768 Mbps 1.5Mbps
      Internet Upload Speed .384 Mbps 1.5Mbps
      RAM 1024MB 2GB

      Entry-Level Requirements

      There are no entry-level requirements for our Artificial Intelligence (AI) Foundation Online (180 Days) training course.

      Recommended Reading

      Our Artificial Intelligence (AI) Foundation Online (180 Days) training course does not require any existing knowledge of AI.

      Exam Information

      Artificial Intelligence (AI) Foundation Online Exam:

      • Exam Duration: 60 Minutes
      • Exam Format: Closed Book, 40 Multiple Choice Questions
      • Exam Delivery: Online, Webcam Proctored
      • Exam Pass Mark: 26/40

      Exam Type

      Proctored Exam

      Qualifications

      BCS Artificial Intelligence (AI) Foundation Certificate

      What's Next

      The ITIL® 4 Framework will provide you with a practical and flexible basis to support your organisation through its journey into the new digital landscape. We help you align human, digital, and physical resources to compete within the modern complex landscape and adopt emerging technologies into your own IT operations.

      ITIL® 4 Foundation (180 Days)
      ITIL® 4 Specialist Create, Deliver & Support - CDS Online (180 Days)
      ITIL® 4 Specialist High Velocity IT - HVIT Online (180 Days)
      ITIL® 4 Strategist Direct, Plan & Improve - DPI Online (180 Days)
      ITIL® 4 Specialist Drive Stakeholder Value - DSV Online (180 Days)
      ITIL® 4 Managing Professional Transition Module Online (180 Days)

      Additional Information

      When you have completed the Artificial Intelligence (AI) Foundation Online (180 Days) training course and passed the exam, you will be awarded the Artificial Intelligence (AI) Foundation certificate.

      Frequently Asked Questions

      Joining Instructions for Purple Griffon training courses are sent the week before the course start date. First, your Account Manager will email to confirm your booking with you. Both, the materials and exam voucher will be emailed to you the week before the training course. Finally, the tutor will send the invitation to you directly and this will be via the MS Teams or Zoom platform.