• Home
  • Pearson Vue Certified IT Specialist Artificial Intelligence Training

Pearson Vue Certified IT Specialist Artificial Intelligence Training

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Course Brochure

Download Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Pearson Vue Certified IT Specialist Artificial Intelligence Training

Course Code: C798

4 Review(s) | Add Your Review

Share

What's This Course About

The Pearson Vue Certified IT Specialist Artificial Intelligence Training is designed for professionals looking to build expertise in AI implementation, model training, and AI-driven problem-solving. This comprehensive course covers AI problem definition, data collection and processing, AI algorithm selection, and real-world model deployment. Participants will learn to assess data quality, engage in feature engineering, train AI models, evaluate performance, and ensure regulatory compliance. Through hands-on exercises, learners will gain practical insights into AI transparency, validation, and ethical considerations.

The course also delves into AI application integration, deployment strategies, and ongoing monitoring for optimal AI performance. Participants will develop the skills to manage AI solutions post-deployment, assess business impact, and implement continuous improvements. By the end of this program, learners will be well-prepared for the Pearson Vue IT Specialist AI certification, equipping them with the expertise needed to implement AI solutions effectively in real-world scenarios.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Pearson Vue Certified IT Specialist - Artificial Intelligence

Course Fee

₵8,400.00 (GST-exclusive)
₵9,156.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

This course prepares you for the INF-307 certification exam, covering all official exam domains:

Domain 1 AI Problem Definition

  • Identify the problem to solve using AI (need, inputs/outputs, whether AI is warranted, measurable success)
  • Classify the problem type (e.g., classification, regression, unsupervised, reinforcement) based on available data
  • Identify areas of expertise needed (business, domain, AI, implementation)
  • Build a security plan (access levels, infrastructure security, attack-surface/risk assessment)
  • Ensure AI is used appropriately (guard against misprediction/harm, set data and algorithm-selection guidelines)
  • Choose transparency and validation activities (communicate data-collection purpose, review legal/industry requirements)

Domain 2 Data Collection, Processing, and Engineering

  • Choose data collection methods and determine whether an existing dataset can be used or a new one must be generated
  • Assess data quality and ensure data are representative (check for missing/corrupt data and bias)
  • Identify resource requirements (compute, time complexity, budget)
  • Convert data into suitable formats and select/engineer features for the AI model
  • Identify training and test datasets
  • Document data decisions for transparency to regulators and end users

Domain 3 AI Algorithms and Models

  • Evaluate applicability of specific algorithm families (e.g., neural network, decision tree, k-means) to the problem
  • Train and tune a model, gathering performance metrics and iterating
  • Select a specific model after experimentation while avoiding overengineering, considering cost/speed/explainability
  • Evaluate model performance (accuracy, precision, overfitting/underfitting, cross-validation) and sensitivity/specificity
  • Look for potential sources of bias in the algorithm and training data
  • Confirm regulatory adherence and obtain stakeholder approval

Domain 4 Application Integration and Deployment

  • Train customers on product use, limitations, and expectations; share documentation
  • Plan to address potential challenges of models in production
  • Design a production pipeline (training/prediction) and integrate the AI with the application
  • Test accuracy, robustness, and speed of the AI through the application
  • Support the AI solution (maintenance documentation, support team, feedback mechanism, drift detector)

Domain 5 Maintaining and Monitoring AI in Production

  • Engage in oversight: log performance, monitor systems, act on alerts, watch for drift/degraded operation
  • Assess business impact via key performance indicators, comparing pre/post-change metrics
  • Measure impacts on individuals and communities; identify and mitigate subgroup issues
  • Handle user feedback (satisfaction, confusion) and incorporate it into future versions
  • Decide on a regular basis whether to retrain, continue using as-is, or decommission the AI

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • AI Specialist
  • Machine Learning Engineer
  • Data Scientist
  • AI Solutions Architect
  • AI Consultant
  • AI Researcher
  • Data Engineer
  • Business Intelligence Analyst
  • AI Project Manager
  • AI Product Manager
  • Automation Engineer
  • IT Specialist (AI)
  • Software Engineer (AI/ML)
  • Cloud AI Engineer
  • AI Ethics & Compliance Specialist
  • AI Trainer & Educator
  • Digital Transformation Manager
  • AI Application Developer
  • Big Data Analyst
  • AI Policy Advisor

Trainers

Trainers

Truman Ng is a ACTA certified trainer that graduated with Bachelor Degree in Electrical Engineering from NUS in year 2002. He designed Artificial Intelligence (AI) controller for DC-DC Power Convertor by using Fuzzy Logic and Neural Network (NN) as his university Final Year Project.
Truman has over 15 years project experiences across Database & Web Design, PLC machinery, Data Center Design , Structure Cabling System(SCS) and Enterprise Network Design and Implementation. He used to be a network architect for Hewlett Packard, working with a group of virtual team from the US in handling network design and projects in the States.
Truman is the founder of Nexplore (S) Pte Ltd. He provides solutions of Cloud SaaS, IaaS & PaaS and Software Defined Network (SDN), VoIP and Internet Security. He was engaged by Huawei Global Training Center to provide 60+ consultations and trainings for Internet Service Providers(ISP) from Malaysia, Singapore, Brunei, Philippines, Australia, Poland, Iran, South Africa, Swaziland, Cote Dlvoire, Syria, Uzbekistan, New Zealand and countries over the world.As achievement, Truman has successfully completed 100+ IT network projects for Bank, Hotel and Factory within 5 years.Truman is certified in PMP, Cisco CCNP, CCIP, CCDP, HP Ase and Huawei HCNP, HCIE R&S, HCNA Cloud, HCNA Security, etc

Thanika is a Cisco Certified CCNA (Routing & Switching) Professional. He received M.B.A. Degree with Heriot-Watt University, U.K Thanika has more than 10 years in IT Infrastructure plan, design and development, Cloud computing, IT Management, Network Administration, Strategic direction, Budget preparation and Vendor relationships. He has worked 8 years in education industry and specialist in implementing open source technologies. He has worked with various projects to implement school campus network infrastructure, Linux servers, open source cloud computing server (own cloud), Web Server, File Server, DHCP Server, CPN Server. He has worked with various networking devices such as Firewalls, Switches, Routers, Load balancers and WAN Optimizers. And with various brands like Cisco, Aruba, Dlink, Juniper, Netgear, Linksys, Ruckus, ZyXEL etc. Programming knowledge of PHP, Java script, AJAX, MySQL, Jasper & iReport

Review

Customer Reviews (4)

will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The applications to be installed in our pc could be given b4 start of class. (Posted on 4/27/2022)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Truman is a very experienced professional that is able to translate his vast amount of knowledge into understandable step by step of the learning the subject. The way he teach is very organised and well prepared. Plus, the learning process consists of seamless integration of information learning combined with practical application on the spot. In this manner, the students are able to learn much faster. (Posted on 2/21/2019)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Wish to have more classes for more practices and if possible, to use actual devices for more realistic simulation. (Posted on 2/21/2019)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Extend the training dates so trainer can cover more topics (Posted on 2/19/2019)

Write Your Own Review

You're reviewing: Pearson Vue Certified IT Specialist Artificial Intelligence Training

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment