ACERT76-055_rev3.0: AI+ Architect, Self-Paced Learning V3 (Cloud)

Duration: Self-Paced, 40 hours of content

The AI+ Architect Certification is an advanced program tailored for cloud architects, offering an in-depth exploration of Artificial Intelligence (AI) and its practical applications. It starts with foundational neural network concepts, advancing to complex topics such as optimization, hyperparameter tuning, and regularization techniques. Learners engage with AI architectures like Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), Transformers, and Convolutional Neural Networks (CNNs), applying these in Natural Language Processing (NLP) and computer vision projects.

The program also covers AI infrastructure, deployment, and ethical considerations, ensuring responsible AI development. A capstone project allows participants to demonstrate their ability to solve architectural challenges using AI, preparing them to lead in a technology-driven environment with enhanced precision, efficiency, and creativity.

It covers the following topics to help you understand the integration of AI with cloud architecture.

• Fundamentals of Neural Networks
• Neural Network Optimization
• Neural Network Architectures for NLP
• Neural Network Architectures for Computer Vision
• Model Evaluation and Performance Metrics
• AI Infrastructure and Deployment
• AI Ethics and Responsible AI Design
• Generative AI Models
• Research-Based AI Design
• Capstone Project and Course Review

Please use the links below to download additional information about this course:

Executive Summary: ai-architect-executive-summary.pdf

Course Outline: ai-architect-course-outline.pdf

Exam Blueprint: ai-architect-blueprint.pdf