Description
AI Architect: Enterprise AI System Design. This comprehensive course is specifically designed for senior engineers, solution designers, and enterprise architects to teach them how to implement AI systems at the production level. The focus of this course is on how to design the architecture, popularize advanced patterns, manage costs, and measure performance, as opposed to many courses that simply teach how to train models or call programming interfaces. Learners learn how to solve real-world challenges such as choosing the right model between proprietary and open-source options, managing errors, and meeting compliance and security standards in large enterprise projects. Using realistic case studies from insurance, fintech, healthcare, and e-commerce, this course provides the skills needed to address the most complex AI architecture issues.
What you will learn
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Complete design of augmented data recovery architectures and operating systems with explicit management of error conditions
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Assessing the feasibility of AI designs and transforming ambiguous requests into defensible system designs for stakeholder approval
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Selecting and defending an AI model strategy using the five-dimensional decision-making framework
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Incorporating governance, security, and compliance into systems from day one
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Building a three-layer evaluation stack to measure system effectiveness in solving business problems
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Modeling AI costs at scale and designing cost controls before they are needed
This course is suitable for people who:
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Senior engineers, solution designers, and enterprise architects who are responsible for designing, evaluating, or managing AI systems
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Technical leaders who have implemented an AI prototype and are now responsible for scaling it to production level
AI Architect: Enterprise AI System Design Course Specifications
- Publisher: Udemy
- Instructor: Carlos Oliveira
- Training level: Beginner to advanced
- Training duration: 10 hours and 45 minutes
- Number of lessons: 84
Course topics
Prerequisites for the AI Architect: Enterprise AI System Design course
- Comfortable with distributed systems fundamentals: latency, throughput, availability, and consistency trade-offs
- API design experience: REST APIs, request-response patterns, and authentication
- Familiarity with at least one major cloud provider (AWS, Azure, or GCP) — enough to read an architecture diagram that includes managed services
- No AI/ML experience, no Python, and no model-training background needed — the course starts from first principles and builds systematically
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.6 GB
