About AI Architecture & Design

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The AI Architecture & Design course offers IT and business professionals comprehensive coverage of both fundamental and advanced AI system and technology architecture concepts. This course explores design principles, distributed computing, scalability and reliability, decision-making logic, performance optimization, security, and integration with enterprise architecture.

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Program Structure  

• 100% online  

• Self-paced  

• 5 modules (50 hours total)  

• Includes video lessons and quizzes  

• Certificate of Completion provided  

 

Modules

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Fundamental Predictive AI  

• Predictive AI drivers, benefits, and challenges

• Business applications and use cases

• Types of predictive AI and learning approaches

• Model training, data preparation, and learning processes

• Functional designs: computer vision, NLP, robotics, speech recognition

• AI models and neural networks

 

Fundamental Generative AI 

• Business and technology drivers of generative AI

• Benefits, risks, and challenges of generative AI

• Business problem categories addressed by generative AI

• Key models, algorithms, and neural network architectures (GANs, VAE, Transformers)

• Training generative models and building AI systems

• Best practices and types of generative AI

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Fundamental AI Architecture & Design 

• AI Architecture and Engineering Comparison, including product vs. custom architectures

• Architecture Scopes, System Types, and Operational Modes

• Data Storage, Ingestion, and Preprocessing for AI Systems

• Feature Engineering and Inference Engine Functionality

• Model Repository Management and Monitoring (performance, data, model metrics)

• Ancillary Monitoring for Explainability, Robustness, and Data Quality

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Advanced AI Architecture & Design 

• Distributed Data Processing, Caching, and Partitioning

• Incremental Processing and Hardware Acceleration

• Autoscaling, Load Balancing, and Continuous Learning

• Performance Optimization: Parallelism, Concurrency, and Edge Techniques

• Data Management: Compression and Lazy Loading

• System Resiliency: Fault Tolerance, Graceful Degradation, and Chaos Engineering

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AI Architecture & Design Lab 

• This module will provide hands-on experience applying scalability, performance, and resiliency techniques to real-world AI system scenarios.