IT Specialist Artificial Intelligence - Single Title Bundle + Retake
IT Specialist Artificial Intelligence - Single Title Bundle + Retake
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Overview of IT Specialist Artificial Intelligence Certification Bundle
IT Specialist Artificial Intelligence is built for those who want to work with data and AI at a deeper level. It defines both AI and the way in which AI is used to build models that take data and then use that data to predict outcomes. Candidates should be able to choose an appropriate algorithm for training a model, and understand the metrics used to evaluate model performance. They should understand the AI development lifecycle and how a production pipeline is used to allow for continuous improvement. This certification bundle for ITS Artificial Intelligence includes everything needed to learn, practice, and certify.
Product Summary
This Bundle includes the Learning Materials, Practice Test, and Certification Exam Voucher with Retake providing everything needed to build proficiency and successfully achieve the IT Specialist Artificial Intelligence Certification.
Included Products
- Learn: IT Specialist Artificial Intelligence – Learning Material (LearnKey via GMetrix)
- Practice: IT Specialist Artificial Intelligence – Practice License (CertPREP via GMetrix)
- Certify: IT Specialist Artificial Intelligence – Certification Exam Voucher + Retake
Learn: IT Specialist Artificial Intelligence – Learning Material
What you’ll learn
This course covers the basic tenets of AI, including AI problem definition, data collection, processing and engineering, algorithms and models, application integration and deployment, and maintaining and monitoring AI in production. This course is helpful for those wanting a good starting point fort knowledge of AI and will help those seeking a career path that required basic AI knowledge.
What’s included
- Video-based Training, Exercise Labs, and Pre and Post Assessments
- Flash Cards in addition to a PDF project workbook
- 1-Year Access to Learning Platform
Product Benefits
- Gain the skills to successfully obtain your IT Specialist Artificial Intelligence Certification
- Build essential, job-ready skills in data and AI
- Enjoy flexible, self-paced learning accessible online at any time
Useful Information
- Estimated Completion Time: 19 Hours
- Self-paced format with no prior experience required
- Online progress tracking
- Recommended pathway for Information Technology Specialist Artificial Intelligence
How your course will be delivered
LearnKey is a premier global provider of self-paced, expert-led training designed for both educational institutions and individual learners and is ACE Training’s preferred partner to host our self-paced courses. Delivered via the GMetrix platform, LearnKey courses are flexible, engaging, and easy to use - bringing the classroom experience directly to you, anytime and anywhere. Each course includes high-quality video instruction, interactive labs, and assessments that align with official exam objectives.
Practice: IT Specialist Artificial Intelligence – Practice License
About this Practice Test
CertPREP Practice Tests are designed to replicate the certification exam experience so you can prepare yourself for the actual exam. Practice tests use the same in-app exam format as the Certiport certification exam and are mapped to the certification objectives so you can be assured you'll be practicing skills to help you pass the certification exam. Practice tests are offered in two modes: Testing and Training Modes. You can either practice under timed conditions or learn at your own pace with step-by-step guidance. This license includes up to 30 attempts over one year for a selected title, ensuring targeted, effective exam preparation.
What the Practice Test measures
- AI Problem Definition
- Data Collection, Processing and Engineering
- AI Algorithms and Models
- Application Integration and Deployment
- Maintaining and Monitoring AI in Production
Topics covered
- Define AI problems and classify types
- Identify required expertise and build a security plan
- Ensure appropriate use of AI and transparency
- Choose data collection methods and assess quality
- Convert Data into suitable formats and select features
- Train and select AI models
- Evaluate model performace and bias
- Confirm regulatory adherence and stakeholder approval
- Understand AI development stages and implement improvements
- Manage version control and documentation
- Ensure reproducibility and monitor AI systems
- Design production pipelines for AI solutions
- Automate data collection and processing
- Implement model deployment strategies
- Monitor and update models in production
What’s included
- 1-year access to GMetrix, and 30 Practice Test attempts
- 100 questions, covering all question types found on the vendor exam and a Study Guide
- Testing Mode: Timed practice tests that provide accurate feedback on strengths and weaknesses after completion
- Training Mode: Untimed practice tests that let you work at your own pace and receive feedback and step-by-step instructions for each question
Certify: IT Specialist Artificial Intelligence – Certification Exam Voucher + Retake
Overview of IT Specialist Artificial Intelligence Certification
Candidates for this certification have a foundational knowledge of the procedures used to develop an artificial intelligence (AI) solution, as well as an understanding of the issues surrounding the governance, transparency, security, and ethics of AI. Successful candidates will be able to analyze and classify a problem. They should be able to demonstrate knowledge of data collection, data processing, and feature engineering strategies.
Why gain Certification?
Those who take and pass ITS certifications are empowered to stand out in the competitive job market, while simplifying daily tasks, boosting productivity and fostering career growth.
Useful Information
- ITS Artificial Intelligence Exam is 50 minutes
- ITS Artificial Intelligence Exam has 45-50 questions
Topics the exam tests you on
AI Problem Definition
- Identify the problem you are trying to solve using AI
- Classify the problem
- Identify the areas of expertise needed to solve the problem
- Build a security plan
- Ensure that AI is used appropriately
- Choose transparency and validation activities
Data Collection, Processing, and Engineering
- Choose the way to collect data
- Assess data quality
- Ensure that data are representative
- Identify resource requirements
- Convert data into suitable formats
- Select features for the AI model
- Engage in feature engineering
- Identify training and test datasets
- Document data decisions
AI Algorithms and Models
- Consider applicability of specific algorithms
- Train a model using the selected algorithm
- Select specific model after experimentation, avoiding over engineering
- Tell data stories
- Evaluate model performance
- Look for potential sources of bias in the algorithm
- Evaluate model sensitivity
- Confirm adherence to regulatory requirements, if any
- Obtain stakeholder approval
Application Integration and Deployment
- Train customers on how to use product and what to expect from it
- Plan to address potential challenges of models in production
- Design a production pipeline, including application integration
- Support the AI solution
Maintaining and Monitoring AI in Production
- Engage in oversight
- Assess business impact
- Measure impacts on individuals and communities
- Handle feedback from users
- Consider improvement or decommission on a regular basis
Additional Information
- Find Objective Domains here: ITS Artificial Intelligence
- Exam tutorial here: IT Specialist exam tutorial
