AI Architecture
- Course Overview
- Course Details
- Training Facilities
- FAQs
- Refund Policy
This AI Architecture course provide a comprehensive foundation in AI principles, frameworks, and best practices. Participants will gain a deep understanding of AI modalities and how to identify suitable business problems for AI solutions.
The course delves into training, validating, and deploying AI models, while emphasizing MLOps best practices for monitoring and maintaining them. Governance through an AI Center of Excellence is explored as a way to ensure ethical and compliant AI adoption, considering industry-specific regulations.
Learning Outcome:
- Understand what AI tools to use and when.
- How MLOps can be woven in an existing culture of automation.
- Articulate core ML concepts in both orthodox and heterox applications.
- How to monitor AI systems for performance and reliability.
- What security risks and ethical obligations exist for your use cases.
- How the AI Center of Excellence model can be applied to your company to create a hub for AI innovation and discovery.
- Which laws and regulations are relevant to your industry and geography.
Recommended For:
This course is designed for IT Executives, Directors, Managers, Architects, and Senior Technical Practitioners.
Course Duration: 5 Days
Mode of Training: Classroom / Synchronous E-Learning
Entry Requirements:
Learners should be able to:
- Read, write and speak English at WSQ WPL Level 6
- Manipulate numbers at WPN Level 6
- Communicate effectively and able to engage in classroom discussion
- Present effectively
Certification:
Learners who have met a minimum of 75% attendance and certified competent for the assessment, and passed the IASA CITA-A in AI Architecture Exam will receive:
- Certificate of Completion by IASA
- Certificate of Achievement by IASA
- IASA Certified IT Architect – Associate (CITA-A) Digital Badge
Course Details
Curriculum
Module 1: AI Foundation
Module 2: AI Foundation Continuation
Module 3: Prompt Engineering
Module 4: AI Software Architecture
Module 5: LLMOps
Module 6: AI Governance
Module 7: Agents & Agentic AI
Module 8: Agents & MCP
Module 9: Agents & A2A
Module 10: Agent Versioning
Module 11: Data Management
Module 12: Quality Attributes
Module 13: Case Study
Module 14: Final Presentations
Module 15: Closeout Module
For more details, download the Course Flyer.
Training Methodology:
A practical-oriented training approach is used in the delivery of this course, which may include the following:
- Interactive Presentation
- Discussions
- Case Studies
Assessment:
All the knowledge and abilities in this course will be assessed. The assessment may consist of a combination of the following methods:
- Written Exam (Short Answer Questions)
- Case Study
Participants must complete all assessment on an individual basis.
Registration Information and Policies
Please refer to this link Registration Policy – ATD Solution for the Registration Information and Policies.
Training Facilities
Designated fully-equipped rooms to support training delivery and conduct of assessment are as follows:
Training & Assessment Room 1
1 Irving Place, #05-05, The Commerze@Irving, S369546
Training & Assessment Room 2
1 Irving Place, #08-09, The Commerze@Irving, S369546
FAQs
AI Architecture FAQs
Q1: Who is the AI Architecture course intended for?
A: This course targets professionals such as IT executives, directors, managers, architects, and senior technical practitioners that want to accelerate their company’s ethical and effective AI adoption.
Q2: What is the duration and mode of delivery for the AI Architecture course?
A: The AI Architecture course is typically delivered over multiple days through classroom-based sessions and mentoring online, offering a structured and immersive learning experience.
Q3: How can I register or find more information about the Business Architecture course?
A: You can register directly on the ATD Solution website via the course page. For corporate bookings, customised training, or further assistance, please contact our team directly.
For additional FAQs, please contact us for assistance.
Refund Policy
For withdrawal, please fill in the soft copy of the Course Withdrawal Form and return the completed form to train@atdsolution.com.
For withdrawal received more than 10 working days prior to the course:
- 0% cancellation fee will apply.
For withdrawal received less than 5 working days prior to the course:
- 50% cancellation fee will apply.
For withdrawal received less than 3 working days prior to the course:
- 70% cancellation fee will apply.
For withdrawal received within 24 hours of the course:
- 100% cancellation fee will apply.
Substitutes are welcomed at no additional charge. Enrolment form must be received at least 5 working days prior to the current course commencements date.
Postponement is allowed at no additional charge. The request must be received at least 5 working days before the class. Participants need to provide reasons for the postponement.