About SNA Technologies:
SNA Technologies Inc. (SNA), established in February 2006 and headquartered in Michigan, USA, is a global leader in IT solutions and training. By joining The Open Group in November 2006, SNA has taken a prominent role in advancing global standards for enterprise architecture. Under the guidance of Founder & President Suresh Done, who also serves as the head of the Michigan chapter of the Association of Enterprise Architects (AEA), SNA is committed to innovation and quality in IT training and consulting.
With a track record of successfully training IT professionals worldwide, SNA Technologies empowers participants with the practical insights needed to develop and maintain resilient IT architectures. Our training solutions enable senior professionals to address complex IT demands with confidence and expertise across industries.
SNA’s team is composed of highly qualified subject matter experts, each with over 20 years of project management experience in various sectors. This extensive knowledge, combined with a strong understanding of advanced technology, positions SNA Technologies as a comprehensive partner in IT consulting and training.
Why Choose SNA?
Our Enterprise AI Architecture course offers in-depth knowledge and hands-on experience with AI architecture tailored for enterprises. This program is designed specifically for senior professionals who wish to understand AI architecture at a strategic and operational level.
Key reasons to choose SNA for your AI training needs:
– Extensive experience delivering training to top global companies.
– Global reach, offering training accessible across continents.
– Industry-leading instructors with certified credentials.
– A unique, practical approach that emphasizes real-world application.
– Access to case studies and a repository of reusable frameworks.
– Mock exams to thoroughly prepare participants for certification.
– High success rates, with an average course pass rate of 98%.
Course Approach
The Enterprise AI Architecture course is an intensive, instructor-led program offered in both in-person and online formats. It includes case-based exercises that help participants apply concepts effectively. All training materials are shared in advance, and multiple mock exams are provided for certification preparation.
Summary
This course prepares attendees to design, implement, and manage enterprise AI architecture that aligns with organizational goals, delivering competitive advantages through strategic AI applications. Over two days, senior professionals will gain critical insights into AI architecture frameworks, governance, and methodologies essential for enterprise-scale AI adoption.
Learning Goals
Upon completing the course, participants will be able to:
– Comprehend AI fundamentals and how they integrate with enterprise architecture.
– Develop a framework for enterprise AI architecture that aligns with organizational goals.
– Navigate enterprise AI business, data, application, and technology architecture components.
– Understand AI governance, change management, and agile innovation within an enterprise setting.
– Create a road map for AI architecture implementation, ensuring scalability and compliance.
Topics Covered (2 Days)
Day 1: Foundations of AI Architecture
- What is Artificial Intelligence?
- What is AI Architecture?
- Enterprise AI Architecture Framework
- Components of Enterprise AI Architecture
- Enterprise AI Business Architecture
- Enterprise AI Data Architecture
- Enterprise AI Application Architecture
- Enterprise AI Technology Architecture
Day 2: Advanced Enterprise AI Implementation
- Road mapping AI Architecture
- AI Governance
- Innovation and Agility
- AI Implementation
- AI Change Management
What Attendees Get
The course registration includes:
– Participant workbooks
– Practical exercises and case studies
– Networking opportunities with professionals and industry leaders
– A course completion certificate
Who Will Benefit?
This course is ideal for:
– Senior professionals and executives involved in AI architecture.
– IT leaders overseeing enterprise AI frameworks.
– Project managers and architects managing AI-driven transformations.
– Business strategists exploring the enterprise applications of AI architecture.
Prerequisites
All are welcome, although a basic understanding of technology and data architecture is recommended for optimal learning.
Professional Development Units (PDUs)
Participants may be eligible to apply for PDUs toward continuing education with relevant certification bodies.
Course Features
- Lectures 0
- Quizzes 0
- Duration 2 days
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
