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$199.00 USD
$199.00 USD
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Note: This new course is coming soon and is currently available for pre-order.

The AI Governance & Ethics course establishes the foundations of AI governance with precepts, processes and roles that address the on-going governance of predictive and generative AI systems. The governance of training and production data is covered, along with controls and considerations associated with ethical practice, model explainability and regulatory compliance. This course further extends AI governance practices and considerations in cloud-based environments.

Complete the AI Governance & Ethics course and, optionally, get accredited as a Certified AI Governance & Ethics Specialist by passing the certification exam. You can purchase the course now and get the exam later, or you can get them together at a discount as part of the Certification Bundle.

Upon completing the course you will receive a digital certificate of completion, as well as a digital training badge from Acclaim/Credly. Because this course encompasses both the AI Professional and AI Governance & Ethics Specialist certifications, upon passing the exam you will also receive official AI Professional and AI Governance & Ethics Specialist digital accreditation certificates and certification badges from Acclaim/Credly, along with an account that can be used to verify your certification status.

If you already completed the AI Professional course modules, you can purchase a partial course (or a partial bundle) with only the modules specific to the AI Governance & Ethics Specialist track here.

Download Guide &
Course Outlines (PDF)

The AI Governance & Ethics course is comprised of the following 5 course modules, each of which has an estimated completion time of 10 hours:

  • Module 1: Fundamental Predictive AI
  • Module 4: Fundamental Generative AI
  • Module 16: Fundamental AI Governance & Ethics
  • Module 17: Advanced AI Governance & Ethics
  • Module 18: AI Governance & Ethics Lab

Choose the Certification Bundle to receive the entire course together with the online-proctored certification exam and a set of practice exam questions, all at a bundle discount.

Exam Details

Upon purchasing this course, you will automatically receive access via the Online Interactive eLearning platform. To provide you with the greatest flexibility, you will also have the option to access the course materials via two additional eLearning formats, at no extra cost. All three eLearning formats are briefly described below. A more detailed comparison can be found here.
  1. For everyday learning: An online interactive eLearning platform with individual lessons, as well as interactive and automatically graded exercises and practice questions.
  2. For learning on-the-go: A study kit platform with access to full course documents that support online/offline synching, annotations, comments, custom bookmarks and cross-document searches.
  3. For your reference: A set of printable watermarked PDF documents that you can keep (for all course workbooks and posters).
All three forms of access are subject to Arcitura’s *. Upon purchase, access to the online interactive eLearning platform (1) is provided within one business day. Access to the study kits (2) and the PDF documents (3) is provided upon request.

The course is comprised of a set of modules. Each module has a set of lessons and is further supplemented with exercises to help reinforce your understanding of key topics. Shown below are the digital contents and the topic outline for each course module:


Module 1: Fundamental Predictive AI

This course module illustrates how predictive AI can be used and applied in a range of business applications, as well as essential coverage of predictive AI practices and systems. The module explores the most common learning approaches and functional areas that AI systems are used for. All of the content is authored in easy-to-understand, plain English.


Course Module Contents

  • Workbook Lessons (100+ pages)
  • Interactive Exercises
  • Mind Map Poster

  • Symbol Legend Poster
  • Practice Exam Questions
  • PDFs of Workbook and Posters (printable)

Topics Covered

  • Predictive AI Business and Technology Drivers
  • Predictive AI Benefits
  • Common Risks and Challenges of Using Predictive AI
  • Business Problem Categories Addressed by AI
  • Types of Predictive AI
  • Common Predictive AI Learning Approaches
  • Understanding Predictive AI Learning and Model Training
  • Step-by-Step Training Loop Process

  • Supervised Learning, Unsupervised Learning, Continuous Learning
  • Heuristic Learning, Semi-Supervised Learning, Reinforcement Learning
  • Common Predictive AI Functional Designs, Computer Vision, Pattern Recognition
  • Robotics, Natural Language Processing (NLP)
  • Speech Recognition, Natural Language Understanding (NLU)
  • Understanding AI Models and Neural Networks

Module 4: Fundamental Generative AI

This course module explores the application of generative AI within a range of business scenarios and provides fundamental coverage of generative AI concepts, models, best practices and neural networks, including Generative Adversarial Networks (GANs), Variational Encoders (VAEs) and Transformer models. All of the content is authored in easy-to-understand, plain English.


Course Module Contents

  • Workbook Lessons (100+ pages)
  • Interactive Exercises
  • Mind Map Poster

  • Symbol Legend Poster
  • Supplement
  • Practice Exam Questions
  • PDFs of Workbook and Posters (printable)

Topics Covered

  • Generative AI Business and Technology Drivers
  • Generative AI Benefits
  • Common Risks and Challenges of Using Generative AI
  • Business Problem Categories Addressed by Generative AI
  • Understanding Models, Algorithms and Neural Networks
  • Types of Generative AI

  • Training Generative Models and Understanding the Training Loop
  • Understanding Generative Adversarial Networks (GANs)
  • Understanding Variational Encoders (VAE)
  • Understanding Transformers
  • Steps to Building AI Systems
  • Generative AI Best Practices

Module 16: Fundamental AI Governance & Ethics

This course module introduces the essential components of AI governance and explores the ethical considerations surrounding the usage and management of AI systems. Topics include fairness, transparency, privacy and accountability, as well as potential risks and biases within AI models. A vanilla governance framework is introduced, along with common precepts and processes for the governance of training data, production data, and cloud-based AI environments in addition to embedding ethical and responsible practices and monitoring agents into AI system designs.


Course Module Contents

  • Workbook Lessons (100+ pages)
  • Interactive Exercises
  • Mind Map Poster

  • Symbol Legend Poster
  • Practice Exam Questions
  • PDFs of Workbook and Posters (printable)

Topics Covered

  • Introduction to AI Governance and the Fundamental Principles of Ethical AI
  • Understanding Fairness, Accountability, Transparency and Explainability (FATE)
  • Addressing Bias and Discrimination in AI Algorithms
  • Understanding the role of Data Governance within an AI Governance Framework
  • Governing the Collection and Management of Training Data

  • Ensuring Data Quality and Tracking Data Lineage
  • Techniques for Addressing and Mitigating Bias in Datasets
  • Examining Ethical Considerations Throughout an AI System’s Lifecycle
  • Understanding the Tools and Techniques Available for Ethical AI Design
  • Utilizing Risk Assessment Frameworks to Identify and Manage Potential AI Risks

Module 17: Advanced AI Governance & Ethics

This course module delves deeper into AI governance frameworks by introducing common roles and additional processes for areas such as bias mitigation, explainability and long-term AI oversight. Additional topics addressed include aligning AI development with social values, responsible use and regulatory requirements, as well as advanced methods for data monitoring, management and filtering. Further cloud computing-related topics are included to address data privacy, regional data storage and other common data-related policies.


Course Module Contents

  • Workbook Lessons (100+ pages)
  • Interactive Exercises
  • Mind Map Poster

  • Practice Exam Questions
  • PDFs of Workbook and Poster (printable)

Topics Covered

  • Governance Precepts and Processes for Training Data, including Sensitive Data and Representativeness
  • Governance Precepts and Processes for Production Data, including Monitoring for Drift and Continuous Fairness
  • Establishing AI Oversight and Auditing Mechanisms
  • Bias Mitigation Strategies and Achieving Explainability in Complex AI Models
  • Operationalizing Ethical Principles and Aligning AI with Values and Social Responsibility

  • Adapting to Evolving Regulations
  • Creating an AI Ethics Code of Conduct and Communicating AI Ethics to the Organization
  • Using AI Governance to Foster a Culture of Ethical AI Innovation
  • Proactive Risk Management and Incident Response in AI
  • Understanding Governance-related Cloud AI Automation Mechanisms

Module 18: AI Governance & Ethics Lab

This course module provides a series of case-study driven, lab-style exercises and problems that are designed to test your ability to apply your knowledge of topics covered in previous modules. Completing this lab helps reinforce understanding of preceding topics and further demonstrates how different practices and technologies can be applied together as part of greater solutions.


Course Module Contents

  • Lab Exercise Booklet
  • Mind Map Poster

  • Practice Exam Questions
  • PDFs of Exercise Booklet and Poster (printable)

Learn About Arcitura: Take the Video Tour

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About Arcitura

About Arcitura Courses

About Arcitura Certifications

What’s in an Arcitura Course

Comprehensive
Coverage

Each course provides a comprehensive curriculum with 2-3 modules and 20-40 hours of training.

More Than Just
Video Lessons

In addition to standard video lessons, courses include full-color workbooks and reference posters for all lessons.

Interactive & Graded
Challenges

Courses also include interactive and graded exercises, interactive and graded self-tests and other supplements.

The Arcitura Difference

EACH COURSE

  • is authored by a dedicated courseware development team
  • has a self-test, accreditation exam and professional certification
  • is available via two different eLearning platforms

ALL COURSES

  • undergo a common development process
  • are authored to be consistent in quality, structure and style
  • share a common vocabulary and symbol notation
  • are authored in collaboration with subject matter experts

Take Your Skills Anywhere

Regardless of whether you are an individual looking to boost your career or an organization looking to up-skill a team, Arcitura courses and certifications provide a sound investment.

Because both courses and accreditations are vendor-neutral, they empower you with skills and credentials that you can take to wherever you need to go.

Professional Instructor-Led Training & Coaching

 

Lifetime Access Guarantee

Access to the interactive eLearning platform (1) and the study kit platform (3) is dependent on third-party platform providers. As a result, Arcitura cannot make any guarantees or warranties regarding the behavior or availability of the platform, nor can Arcitura guarantee a specific duration for which these platforms will remain available. When your course is set up, your access will have no expiration date and will be provided for a minimum of one year and indefinitely thereafter, for as long as the platforms remain available under the conditions by which they were contracted by Arcitura. The PDF documents (3) that will be made available for you to download are yours to keep forever.

QUESTIONS?

Contact info@arcitura.com or 604-904-4100 during PT working hours.