• Understand AI reference architecture and workflow for automation solutions. Many AI frameworks such as Tensor Flow, Pytorch, Azure ML and AWS Sage Maker are evolving and changing features rapidly. Any AI architecture needs to have the flexibility and adaptability of handling change and growth within the organization
• Understand the factors in AI architecture including the selection of machine learning frameworks and scalable solutions for automation
• Learn machine learning workflows and capabilities such as feature extraction, training, analytics, data collection, data analysis, data selection, project packaging, model tuning, evaluation, inference, validation and deployment
• Learn Data Requirements: discovering and understanding the demands and needs of the business
• Learn Data Modeling Principles: The principles followed by the AI Architect related to data modeling
• Business Case: Understand the return on investment (ROI) and justify the need for AI Architecture
• Machine Learning Solutions: Machine learning solutions for AI Architectural requirements
• AI Architecture Practice: How best to build the practice of AI architecture within your organization

Our online, instructor-led courses have the same information as our onsite class but are hosted live via Microsoft Teams (currently available for free use). The Iasa AI Architecture course gives you in-depth guidance on the frameworks and tools available, in order to develop AI architectures that will meet the demands of modern business. The course helps in ensuring that you are developing a comprehensive AI competency for yourself and your organization. This demonstrates that you are taking the necessary steps to create an AI architecture which will be effective in creating business value.

A comprehensive course designed to provide a solid, repeatable baseline for IT architects and technical leaders who are implementing AI programs for their enterprise

Demonstrates that you are taking the necessary steps to create an AI architecture which will be effective in creating business value

Understand AI reference architecture and workflow for automation

Understand data and data modelling

Understand machine learning frameworks

Understand the return on investment (ROI) and justify the need for AI Architecture

How best to build the practice of AI architecture within your organization

The curriculum is designed for:

IT architects,

Development leads,

Technical product owners,

Technical leadership groups.

You should have basic knowledge and experience of system development and some working knowledge of AI.

Pre-Study material

PDF course material

ITAC AI Architecture Exam (proctored online)

The course is held on-line, with sessions twice a week over six weeks starting July 7th through August 20th on Tuesdays and Thursdays from 10:00 to 12:00 US Central (CDT).
Check the time in your time zone using Time Zone Converter.
The exam for the certification is on-line and available after completion of the course. The course material and certification are in English.

Basic Members = $1700.00 (includes full membership).
Current Full Members get a discount price at $1475.
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