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AI+ Architect™ - Chinese
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Introduction
Course Introduction
Lab Instructions
Audio Book: Introduction AI+ Architect
Module 1: Fundamentals of Neural Networks
1.1 Basic Concepts of Neural Networks
1.2 Types of Neural Networks
1.3 Architecture Components
1.4 Building Neural Networks
1.5 Common Design Patterns
Module 1: Fundamentals of Neural Networks
Audio Book: Fundamentals of Neural Networks
Podcast: Fundamentals of Neural Networks
Activity: Multiple choice with image
Activity: Carousel/ Slideshow
Activity: Knowledge checks
Quiz
Lab Practice 1.1
Lab Practice 1.2
Lab Practice 1.3
Lab Practice 1.4
Python File Download
Tools Walkthrough - Apache JMeter
Module 2 : Neural Network Optimization
2.1 Importance of Hyperparameters
2.2 Tuning Techniques
2.3 Types of Optimization Algorithms
2.4 Choosing the Right Algorithm
2.5 Preventing Overfitting
2.6 Other Methods for Model Robustness
Module 2: Neural Network Optimization
Audio Book: Neural Network Optimization
Podcast: Neural Network Optimization
Activity: True/False
Activity: Accordion
Activity: Problem Statement: Type 1
Activity: Knowledge checks
Quiz
Lab Practice 2.1
Lab Practice 2.2
Lab Practice 2.3
Lab Practice 2.4
Python File Download
Tools Walkthrough - Locust
Module 3: Neural Network Architectures for NLP
3.1 NLP Fundamentals
3.2 Tokenization and Embedding
3.3 RNNs and LSTMs
3.4 Transformer-Based Architectures
Module 3: Neural Network Architectures for NLP
Audio Book: Neural Network Architectures for NLP
Podcast: Neural Network Architectures for NLP
Activity: Hotspot
Activity: Drag and Drop
Activity: Knowledge checks
Quiz
Lab Practice 3.1
Lab Practice 3.2
Python File Download
Tools Walkthrough - K6
Module 4: Neural Network Architectures for Computer Vision
4.1 Computer Vision Fundamentals
4.2 Convolutional Neural Networks (CNNs)
4.3 Specialized Architectures for Computer Vision
4.4 Object Detection and Segmentation Techniques)
Module 4: Neural Network Architectures for Computer Vision
Audio Book: Neural Network Architectures for Computer Vision
Podcast: Neural Network Architectures for Computer Vision
Activity: Tab: Type 1
Activity: Problem Statement: Type 2
Activity: Knowledge checks
Quiz
Lab Practice 4.1
Lab Practice 4.2
Lab Practice 4.3
Python File Download
Tools Walkthrough - Selenium
Module 5: Model Evaluation and Performance Metrics
5.1 Evaluation Metrics for AI Models
5.2 Cross-Validation and Model Selection
5.3 Bias, Variance & Model Fitting
5.4 Techniques for Performance Optimization
Module 5: Model Evaluation and Performance Metrics
Audio Book: Model Evaluation and Performance Metrics
Podcast: Model Evaluation and Performance Metrics
Activity: Tab: Type 2
Activity: Carousel/ Slideshow
Activity: Knowledge checks
Quiz
Lab Practice 5.1
Lab Practice 5.2
Lab Practice 5.3
Python File Download
Tools Walkthrough - Cypress
Module 6: AI Infrastructure and Deployment
6.1 Hardware Requirements
6.2 Cloud-Based AI Services
6.3 Model Deployment Techniques
6.4 Monitoring and Maintenance
Module 6: AI Infrastructure and Deployment
Audio Book: AI Infrastructure and Deployment
Podcast: AI Infrastructure and Deployment
Activity: True/False
Activity: Scenario Activity
Activity: Knowledge checks
Quiz
Lab Practice-6.1(Azure Cloud Based)
Lab Practice-6.1 (GCP Cloud Based)
Lab Practice-6.1 (AWS Cloud Based)
Tools Walkthrough - Appium
Module 7: AI Ethics and Responsible AI Design
7.1 Bias, Fairness, and Accountability
7.2 Explainability and Transparency
7.3 Ensuring Ethical AI Development
7.4 Case Studies in AI Ethics
Module 7: AI Ethics and Responsible AI Design
Audio Book: AI Ethics and Responsible AI Design
Podcast: AI Ethics and Responsible AI Design
Activity: Drag-and-Drop
Activity: Accordion
Activity: Knowledge checks
Quiz
Lab Practice 7.1
Lab Practice 7.2
Python File Download
Tools Walkthrough - Postman (Free version)
Module 8: Generative AI Models
8.1 Generative Adversarial Networks (GANs)
8.2 Transformer-based Models
8.3 GANs for Visual and Multimedia Artifacts
8.4 Transformer-based Models for Text Generation
Module 8: Generative AI Models
Audio Book: Generative AI Models
Podcast: Generative AI Models
Activity: Case Study: Type 1
Activity: Multiple Response
Activity: Knowledge checks
Quiz
Lab Practice 8.1
Lab Practice 8.2
Lab Practice 8.3
Python File Download
Tools Walkthrough - Robot Framework
Module 9: Research-Based AI Design
9.1 Research Methodologies in AI
9.2 Interpreting Research Papers
9.3 Exploring Recent AI Research
9.4 Applying Research to AI Design
Module 9: Research-Based AI Design
Audio Book: Research-Based AI Design
Podcast: Research-Based AI Design
Activity: Popup
Quiz
Activity: Multiple Response
Activity: Knowledge checks
Lab Practice 9.1
Python File Download
Tools Walkthrough - Pylint
Module 10: Capstone Project and Course Review
10.1 Capstone Project Presentation
10.2 Course Review and Future Directions
Module 10: Capstone Project and Course Review
Audio Book: Capstone Project and Course Review
Podcast: Capstone Project and Course Review
Activity: Case Study: Type 2
Activity: Knowledge checks
Quiz
Capstone Project 1
Capstone Project 2
Python File Download
Tools Walkthrough - SonarQube (Community Edition)
Course Summary
Course Summary
AI Agents Architect
1.1 What Are AI Agents?
1.2 Applications and Trends for AI Agents in Neural Network Architecture
1.3 How Does an AI Agent Work?
1.4 Where AI Agents Fit in the Neural Network Lifecycle
1.5 Types of AI Agents
1.6 Case Study: Google Vizier – AI Agent Platform for Neural Network Optimization
Resources
AI+ Architect Blueprint
AI+ Architect Detailed Curriculum
AI+ Architect Tools
AI+ Architect Resources and References
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Architect Examination
AI+ Architect Examination
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