AI+ Architect™

Certification Overview.

1. Course IntroductionPreview

Module 1: Fundamentals of Neural Networks.

1. 1.1 Introduction to Neural Networks
2. 1.2 Neural Network Architecture
3. 1.3 Hands-on: Implement a Basic Neural Network

Module 2: Neural Network Optimization.

1. 2.1 Hyperparameter Tuning
2. 2.2 Optimization Algorithms
3. 2.3 Regularization Techniques
4. 2.4 Hands-on: Hyperparameter Tuning and Optimization

Module 3: Neural Network Architectures for NLP.

1. 3.1 Key NLP Concepts
2. 3.2 NLP-Specific Architectures
3. 3.3 Hands-on: Implementing an NLP Model

Module 4: Neural Network Architectures for Computer Vision.

1. 4.1 Key Computer Vision Concepts
2. 4.2 Computer Vision-Specific Architectures
3. 4.3 Hands-on: Building a Computer Vision Model

Module 5: Model Evaluation and Performance Metrics.

1. 5.1 Model Evaluation Techniques
2. 5.2 Improving Model Performance
3. 5.3 Hands-on: Evaluating and Optimizing AI Models

Module 6: AI Infrastructure and Deployment.

1. 6.1 Infrastructure for AI Development
2. 6.2 Deployment Strategies
3. 6.3 Hands-on: Deploying an AI Model

Module 7: AI Ethics and Responsible AI Design.

1. 7.1 Ethical Considerations in AI
2. 7.2 Best Practices for Responsible AI Design
3. 7.3 Hands-on: Analyzing Ethical Considerations in AI

Module 8: Generative AI Models.

1. 8.1 Overview of Generative AI Models
2. 8.2 Generative AI Applications in Various Domains
3. 8.3 Hands-on: Exploring Generative AI Models

Module 9: Research-Based AI Design.

1. 9.1 AI Research Techniques
2. 9.2 Cutting-Edge AI Design
3. 9.3 Hands-on: Analyzing AI Research Papers

Module 10: Capstone Project and Course Review.

1. 10.1 Capstone Project Presentation
2. 10.2 Course Review and Future Directions
3. 10.3 Hands-on: Capstone Project Development

Optional Module: AI Agents for Architect.

1. 1. Understanding AI Agents
2. 2. Case Studies
3. 3. Hands-On Practice with AI Agents