AI Architecture
December 8, 2024 2025-01-28 18:23AI Architecture
AI Architecture
Welcome to the AI ARCHITECTURE COURSE!
The AI Delivery and Strategy course equips executives, managers, and technical professionals with the knowledge to implement AI effectively within businesses. This intensive program goes beyond the hype, providing a comprehensive foundation in AI principles, frameworks, and best practices.
Participants 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.
With a business-first approach, the course highlights the importance of security, scalability, and performance in AI architectures. Participants gain the skills to communicate AI concepts to both technical and non-technical audiences, fostering collaboration and building consensus. Earning a globally recognized certification and joining a supportive professional community are additional benefits of this program.
Competency Focus Areas
- 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
Who is this course for?
The IASA AI Delivery and Strategy Course is ideal for IT executives, directors, managers, architects, and senior technical practitioners that want to accelerate their company’s ethical and effective AI adoption. These leaders will be confident when taking the best practices and lessons learned in this course directly back to their respective
organizations to have an immediate and palpable impact.
What you'll learn
- 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
Module 1
Foundation
A solid understanding of how to deliver and strategize AI requires a firm foundation upon which to build.
Module 2
Conduct
AI projects do not exist in a vacuum, and are subject to both ethical as well as regulatory considerations.
Module 3
Construction
Decisions need to be made early and correctly in an AI implementation for what data is in the training set, what data is out, what level of validation is acceptable, and what tools will be used for the construction and training of the model.
Module 4
Automation
The ability to effectively fit and deploy a trained model to production is a philosophically different endeavor than traditional DevSecOps, though both of them have automation at their core.
Module 5
Assurance
An AI model deployed to production is a day zero concern, but day one concerns need to be accounted for from the beginning.
Module 6
Acceleration
Now that a solid framework has been built in the participants mind to the idiosyncrasies of AI implementations, the next step is to formalize the AI processes within an organization into a central hub for acceleration that also safeguards the company from potential legal and regulatory and technical issues.
Teaching Modalities
- 5 days
- 4 lessons per day
- Full time
- 45 min presentation
- 45 min workshops with. group
- Classroom
- Classwork – Miro
- Course Material – MS Teams
- 9 weeks
- 4 hrs per week plus homework Total 6 hrs/wk
- 45 min lessons
- 1 hr group work
- Homework
- Final presentation to instructor for grade
- Online (Teams)
- Homework – Miro
- Course Material – MS Teams
- 10 weeks
- 2 hrs Online Self-Paced
- 2 hrs Homework
- 2 hrs Mentor meeting to review homework
- Final presentation to mentor for grade
- Online Instructor Reviewed
- Homework
- Homework – Miro
- Course Material – Chronus
Maintaining your IASA certification
Earning your IASA certification is a big achievement—we’re here to help you maintain it. Continuous skill growth that extends beyond certification is critical to fueling your career and your impact. IASA certification holders need to earn
- Learning
- Teaching others
- Presenting
- Reading
- Volunteering
- Content creating
