AI Cloud

AI+ Architect

Master advanced neural networks, NLP, and computer vision. Learn optimization, AI deployment, ethical AI design, and generative models. A hands-on capstone project ensures real-world AI architecture expertise.

Duration

5 Days (40 hours)

Targeted Audience

AI Solutions Architecture Developer

AI Enterprise Architecture Strategist

AI Systems Architect

AI Technology Systems Planner

Prerequisites for Success

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.

Modules | 10

Examination | 1

Passing Score | 70%

COURSE AGENDA

Module 1: Fundamentals of Neural Networks

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

Module 2: Neural Network Optimization

2.1 Hyperparameter Tuning
2.2 Optimization Algorithms
2.3 Regularization Techniques
2.4 Hands-on: Hyperparameter Tuning and Optimization

Module 3: Neural Network Architectures for NLP

3.1 Key NLP Concepts
3.2 NLP-Specific Architectures
3.3 Hands-on: Implementing an NLP Model

Module 4: Neural Network Architectures for Computer Vision

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

Module 5: Model Evaluation and Performance Metrics

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

Module 6: AI Infrastructure and Deployment

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

Module 7: AI Ethics and Responsible AI Design

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

Module 8: Generative AI Models

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

Module 9: Research-Based AI Design

9.1 AI Research Techniques
9.2 Cutting-Edge AI Design
9.3 Hands-on: Analyzing AI Research Papers

Module 10: Capstone Project and Course Review

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