AI+ Architect (AI+ Architect)

• Gain a solid foundation in neural network principles, including architecture, implementation, and optimization techniques such as hyperparameter tuning, regularization, and various optimization algorithms.
• Develop expertise in applying neural network models to specific domains like natural language processing (NLP) and computer vision, through hands-on projects and practical applications.
• Learn to assess model performance using various evaluation techniques, and improve model accuracy and efficiency by implementing advanced optimization strategies.
• Acquire knowledge of the infrastructure required for AI development and deployment, and practice deploying AI models in real-world scenarios.
• Understand ethical considerations in AI design, implement responsible AI practices, and explore generative AI models and contemporary AI research techniques through practical, hands-on activities.

Required

• A foundational knowledge on neural networks, including their optimization and architecture for applications.

• Ability to evaluate models using various performance metrics to ensure accuracy and reliability.

• Willingness to know about AI infrastructure and deployment processes to implement and maintain AI systems effectively.

Recommended

• AI+ Executive
• AI+ Everyone

• IT Professional
• Technical Architect

Fundamentals of Neural Networks

• Introduction to Neural Networks
• Neural Network Architecture
• Hands-on: Implement a Basic Neural Network

Neural Network Optimization

• Hyperparameter Tuning
• Optimization Algorithms
• Regularization Technique
• Hands-on: Hyperparameter Tuning and Optimization

Neural Network Architectures for NLP

• Key NLP Concepts
• NLP-Specific Architectures
• Hands-on: Implementing an NLP Model

Neural Network Architectures for Computer Vision

• Key NLP Concepts
• NLP-Specific Architectures
• Hands-on: Implementing an NLP Model

Model Evaluation and Performance Metrics

• Model Evaluation Techniques
• Improving Model Performance
• Hands-on: Evaluating and Optimizing AI Models

AI Infrastructure and Deployment

• Infrastructure for AI Development
• Deployment Strategies
• Hands-on: Deploying an AI Model

AI Ethics and Responsible AI Design

• Ethical Considerations in AI
• Best Practices for Responsible AI Design
• Hands-on: Analyzing Ethical Considerations in AI

Generative AI Models

• Overview of Generative AI Models
• Generative AI Applications in Various Domains
• Hands-on: Exploring Generative AI Models

Research-Based AI Design

• AI Research Techniques
• Cutting-Edge AI Design
• Hands-on: Analyzing AI Research Papers

Capstone Project and Course Review

• Capstone Project Presentation
• Course Review and Future Directions
• Hands-on: Capstone Project Development

Optional Module: AI Agents for Architect

• Understanding AI Agents
• Case Studies
• Hands-On Practice with AI Agents