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Outline

The Qlik AI Specialist certification validates your knowledge of key AI concepts and applications, including the fundamental skills to create Qlik predictive AI models and generative AI assistants.

Certification Exam details 
Duration: 120 minutes 
Number of questions: 50 
Passing score: 62% 

Exam content is updated periodically. The number and difficulty of questions may change. The passing score is adjusted to maintain a consistent standard. 

Preparation

  • Introduction to Data Science: Link 
  • Design of experiments: Link
  • Understanding GenAI: Link
  • AutoML Foundations: Link
  • Insight Advisor: Link
  • AI-Enhanced Features to Transform your Business: Link
  • Badge 

    After passing this certification exam, you are awarded the Qlik AI Specialist Certification Exam badge. To learn more about the criteria for earning this badge, visit our Credly badging page.

    Certification Exam topics

    Introduction to Artificial Intelligence (30%)

  • Understand various subsets of AI including GenAI and machine learning.
  • Contrast the different ways humans communicate with AI (Natural Language Processing, Large Language Models).
  • Define common AI terms and concepts.
  • Business applications for Artificial Intelligence (30%)

  • Identify appropriate use cases for GenAI and machine learning.
  • Recognize the LLM Application Project Lifecycle.
  • Evaluate the production of LLM apps including adapting data pipelines, reducing latency, and expanding the usefulness of LLMs.
  • Explain the fundamentals of the Machine Learning workflow.
  • Assess Data Governance, security practices, and ethical considerations for projects involving AI.
  • Identify the limitations of AI and the data challenges involved in implementing GenAI.
  • Fundamentals of Qlik Answers (15%)

  • Outline a typical workflow for Qlik Answers.
  • Recognize key concepts and terms associated with Qlik Answers, including retrieval augmented generation (RAG).
  • Evaluate use cases for Qlik Answers.
  • Fundamentals of Qlik Machine Learning (15%)

  • Understand the foundations of Qlik AutoML.
  • Demonstrate appropriate application of the Qlik AutoML workflow.
  • Evaluate use cases for Qlik Auto ML.
  • Fundamentals of Insight Advisor (10%)

  • Generate insights using Insight Advisor.
  • Demonstrate best practices in interacting with Insight Advisor (prompt generation).