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Duration:
Only 2 days
Study Mode:
Classroom / Online / Classroom or Online
Next Date:
22/10/2024 (Tuesday)

Overview

On this accelerated BCS: BCS Foundation - AI and the digital ecosystem course, you will develop your understanding of AI to fully comprehend the concept of artificial intelligence, how it fits into the digital ecosystem, and its relationship with data - plus take a look at what’s next for AI development in organisations.

This award sits within the Machine learning and other AI techniques area of the AI Foundation Pathway, providing core understanding of what we mean by AI, how it’s used by organisations now and what it holds for the future.

In just 2 days, you’ll learn key components of AI. You’ll also learn about:

  • AI and the IT ecosystem
  • The relationship between AI and data
  • The potential future of AI

At the end of this course, you’ll sit the BCS exam, and achieve your BCS: BCS Foundation - AI and the digital ecosystem certification.

Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

  • Business professionals looking for a clearer understanding of AI and how it can transform their business.
  • IT practitioners planning to transition to a role in which they’ll be working with AI or machine learning.
  • Anyone who wants to know more about the power of artificial intelligence and its potential in our society.

Curriculum

Module 1: Key components of AI (20%)

  • Recall the general definition of human intelligence.
  • State a general definition of artificial intelligence and how it relates to human intelligence.
  • Describe how the following are used within an application of Artificial intelligence; Machine Learning, Deep Learning, Data Science, Knowledge-Based systems , Robotics and Automation: Machine Learning
    • Deep Learning Data Science
    • Knowledge-Based Systems
    • Robotics and Automation

Module 2: AI and the digital ecosystem (20%)

  • Explain what a digital ecosystem is:
    • The purpose of an ecosystem Components of a digital ecosystem Digital Transformation Digitisation – e.g. paperless office, credit cards, e-commerce, online banking, apple/google pay, personal assistants
    • Fundamental enabler (human plus machine systems)
    • The Internet of Things, big data, smartphones/smart offices, working from home
  • Describe an ecosystem mindset: Collaboration Mastery
  • Recognising your company strengths Trust Openness Integrity
  • Identify how AI can facilitate a digital ecosystem that works intuitively:
    • Integrated systems Customer experience Efficient processes
    • Data architecture – one true source of data Automation Learning from experience User stories
  • Discuss why you might make use of AI to create a digital ecosystem as a driver or enabler:
  • Personal assistants e.g. Siri, Alexa Autonomous vehicles (5 levels of autonomy)
  • Creating media e.g. movies, music Smart energy e.g. smart meters
  • Smart infrastructure e.g. homes, offices, roads Healthcare e.g. monitoring machines, smart wearable technology Social care e.g. care assistants, keeping the customer independent Education e.g. learning assistant Engineering e.g. digital twin concept

Module 3: The relationship between AI and Data (30%)

  • Explain data infrastructure with specific relevance to Big Data:
  • What is Big Data?
  • Why is Big Data difficult to work with?
  • Challenges and risks surrounding Big Data Benefits and uses - how can we take advantage of Big Data?
  • Describe the following concepts within data architecture:
    • Labelled or unlabelled data
    • Missing data
    • Encoding data
    • Cleaning data
    • Structured or unstructured data
  • Suggest ways in which AI can support in the utilisation of Big Data:
    • Machine Learning
    • Deep Learning
    • Business Analytics
  • Recognise different approaches used within the testing of AI systems:
    • Regulations and standards
    • Stakeholder buy-in and ownership
    • User acceptance criteria
    • Use of AI in testing automation – AI led quality assurance
    • Ongoing feedback through continuous testing and deployment (agile approach) i.e. ‘learning from experience’.

Module 4: The potential future of AI (30%)

  • Identify industries that can invest in AI
    • Local transmission/ interaction (5G)
    • Health Financial Engineering Retail Education
  • Recognise the role of AI in raising human intelligence:
    • Intelligence Augmentation
  • Explain the concept of digital singularity:
    • Machine Intelligence equal to Human intelligence
    • How close are we to singularity?
  • Explain the need for individuals and organisations to maintain and update their skills and knowledge in relation to current and emerging technologies:
    • Up and coming computing technologies
    • Quantum computing and mechanics
    • Advancements in coding
    • Changes in technology
    • Risk of being left behind
    • Competitive edge
    • Cloud computing
  • Identify the role the IT professional plays in supporting a utopian future with AI:
  • What is a utopia?
  • Importance of an ethics first approach
  • Understanding the power IT professionals have Awareness of risks associated with AI Human compatible AI

Exam Track

At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

BCS: Foundation - AI and the digital ecosystem exam

  • Duration: 30 minutes
  • Number of questions: 16 Multiple Choice questions; 2 Scenario Based Question
  • Passing score: 13/20 (65%)

Prerequisites

There are no prerequisites to attend this accelerated course.

What's Included

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **

* For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
** Some exceptions apply. Please refer to the Exam Track or speak with our experts.
*** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Benefits

Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online courses
  2. You'll be certified fast. With us, you’ll be trained in record time
  3. Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
  4. Pass the first time or train again for free. This is our guarantee. We’re confident you’ll pass your course the first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9 am – 5 pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day of quality learning time, with your instructor
  6. You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying with the best. We’ve been named in the Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 135,000 professionals
  • For residential training only. Doesn't apply for online courses
    ** Some exceptions apply. Please refer to the Exam Track or speak with our experts

Think you are ready for the course? Take a FREE practice test to assess your knowledge!  Free Practice Test

Course Dates


Start
Finish
Status
Study Mode
Prices
22/10/2024 (Tue)
23/10/2024 (Wed)
Open
Classroom
21/01/2025 (Tue)
22/01/2025 (Wed)
Open
Classroom
21/04/2025 (Mon)
22/04/2025 (Tue)
Open
Classroom
22/07/2025 (Tue)
23/07/2025 (Wed)
Open
Classroom