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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
is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies
Review
Customer Reviews (6)
- Very satisfied Review by Course Participant/Trainee
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Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 3/16/2026)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 - Fantastic experience Review by Course Participant/Trainee
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The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 6/12/2025)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 - Superb training Review by Course Participant/Trainee
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Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 4/4/2025)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 - Hands-on and practical Review by Course Participant/Trainee
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Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 1/26/2025)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 - Engaging trainer Review by Course Participant/Trainee
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Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 6/25/2024)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
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