AI Business Implementation Practitioner (AIBIP)
AI Strategy Meets Practical Execution — For Current and Future Business Professionals
The AI Business Implementation Practitioner (AIBIP) certification is designed for current and future working business professionals who are not developers or data scientists, but who are responsible for implementing AI tools, workflows, and decision-making processes in everyday business environments. It validates your ability to identify use cases, evaluate AI tools, manage implementation plans, and ensure responsible deployment of AI across departments.
Industry-Recognized
Global AI Credential Validate your foundational understanding of AI and its transformative role across various industries with the AI Business Implementation Practitioner (AIBIP) certification, recognized by educators and industry experts alike.
Skill Validation
Confirm your grasp of essential AI concepts—ranging from machine learning and deep learning to neural networks and ethical AI practices—while demonstrating basic coding skills and effective problem-solving using AI technologies.
Ideal for Future Innovators
Specifically designed for K12 students, this certification equips you with the knowledge to understand AI’s impact in everyday life and across sectors like healthcare, finance, transportation, and entertainment, setting you on a path toward future studies and careers in AI.
Interactive Learning
Engage in hands-on projects and real-world scenarios that allow you to build simple AI models, analyze data, and apply AI solutions to everyday challenges, ensuring a practical and immersive learning experience.
- Number of questions: 40
- Time limit: 50 minutes
- Passing score: 75%
- Format: Linear
The examination procedure
The students will have to answer all the question within the given timeframe.
They are free to ignore as many questions as they want. They will have the option to flag the questions and then review them at the end of the test (within the 50 minutes timeframe). All unanswered questions will be marked as incorrect.
When the test finishes the result of the examination is sent to Knowledge Pillars server for storing.
Find more information about our Exam Retake Policy and Exam Proctoring options.
It is recommended that candidates have a minimum of 150 hours of instruction or practical experience with AI technologies and their application in various industries before attempting the AI Business Implementation Practitioner (AIBIP) Certification exam.
This exam assesses proficiency in key areas critical to understanding and implementing AI in real-world scenarios, including foundational knowledge of AI concepts such as machine learning, deep learning, and neural networks.
Candidates will be evaluated on their ability to identify and apply AI solutions in everyday life and across diverse industries such as healthcare, finance, and entertainment. The exam also tests understanding of ethical considerations, responsible AI use, and the impact of AI on society.
Additionally, candidates must demonstrate familiarity with basic coding for AI development, problem-solving using AI, and the ability to engage in AI-related projects. Success in this exam indicates a comprehensive understanding of AI’s role in modern industries and its potential for driving innovation and transformation.
Certification Objectives:
1. Introduction to Artificial Intelligence
- Understand what Artificial Intelligence (AI) is and how it mimics human intelligence.
- Learn the basics of machine learning, deep learning, and neural networks.
- Explore the history of AI and its evolution over time.
2. AI in Everyday Life
- Identify and describe examples of AI applications in daily life (e.g., virtual assistants, recommendation systems, facial recognition).
- Discuss how AI is used in common devices and platforms that students interact with, such as smartphones and social media.
- Understand the impact of AI on society, both positive and negative.
3. AI Across Industries
- Explore how AI is applied in various industries like healthcare, finance, transportation, and entertainment.
- Understand how AI is transforming the workforce and creating new career opportunities.
- Discuss real-world case studies of AI innovations in different sectors.
4. Ethics and AI
- Learn about the ethical implications of AI, including issues related to privacy, bias, and fairness.
- Discuss the importance of responsible AI use and the potential consequences of unethical AI practices.
- Explore ways to ensure that AI technologies are used for the benefit of all.
5. Basic AI Concepts and Terminology
- Familiarize with key AI concepts such as algorithms, data sets, training models, and automation.
- Understand the role of data in AI and the concept of “big data.”
- Learn basic AI terminology that is used across different applications and industries.
6. Introduction to Coding and AI Development
- Gain a basic understanding of coding languages commonly used in AI, such as Python.
- Learn how to write simple algorithms and understand how AI programs are created.
- Explore AI development platforms and tools available for students.
7. AI and Problem Solving
- Understand how AI can be used to solve real-world problems, from everyday challenges to complex global issues.
- Participate in projects where students can apply AI to solve a problem or improve a process.
- Learn how to approach problem-solving using AI and critical thinking skills.
8. AI Projects and Hands-On Learning
- Engage in hands-on projects that involve building simple AI models or applications.
- Work with AI-powered tools and platforms to create solutions or analyze data.
- Present project findings and reflect on the learning experience.
9. Future of AI and Career Exploration
- Explore the future of AI and emerging trends that could shape the world.
- Learn about different career paths in AI, from AI research to AI-driven industry roles.
- Discuss the skills and education pathways needed for a career in AI.
The minimum system requirements are:
- Operating system: Windows 7/8/10 OS, MacOS X 10.0x or newer, Linux OS
- Minimum RAM: 1GB or more depending on the Operating System
- Minimum processor: 1.0 Ghz or more depending on the operating system and the architecture
- A color monitor with minimum display resolution: 1366px by 768px
- Internet access
- The latest version of the Chrome browser
- Automatic updates, notifications, other popup windows, and anything that can disrupt the examination process should be disabled