AI+ Architect

The AI+ Architect course offers a thorough exploration of neural networks, starting with foundational principles and advancing to specialized applications. Participants will learn about neural network architecture, implementation, and optimization techniques like hyperparameter tuning and regularization. The course includes specific architectures for natural language processing (NLP) and computer vision, complemented by hands-on projects. Additionally, it addresses AI infrastructure, deployment strategies, and ethical considerations for a well-rounded understanding of AI design. Students will also explore generative AI models and cutting-edge research, culminating in a capstone project that integrates their knowledge, preparing them to tackle real-world AI challenges effectively.
Course Details

Price:

$3,995.00

Days:

1

Location:

Virtual

Course Overview

The AI+ Architect course offers a thorough exploration of neural networks, starting with foundational principles and advancing to specialized applications. Participants will learn about neural network architecture, implementation, and optimization techniques like hyperparameter tuning and regularization. The course includes specific architectures for natural language processing (NLP) and computer vision, complemented by hands-on projects. Additionally, it addresses AI infrastructure, deployment strategies, and ethical considerations for a well-rounded understanding of AI design. Students will also explore generative AI models and cutting-edge research, culminating in a capstone project that integrates their knowledge, preparing them to tackle real-world AI challenges effectively.

• 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.

• Strong understanding of software architecture principles
• Proficiency in multiple programming languages
• Experience with cloud computing platforms
• Knowledge of database management systems
• Familiarity with DevOps practices and tools
• Excellent problem-solving skills
• Ability to communicate complex technical concepts clearly
• Experience in leading technical teams
• Understanding of security best practices
• Ability to design scalable and maintainable systems

– 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 Computer Vision Concepts
• Computer Vision-Specific Architectures
• Hands-on: Implementing a Computer Vision 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

Class Dates & Times
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5/19/2025
Virtual
09:00:00-17:00:00 CST
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$3,995.00
6/23/2025
Virtual
09:00:00-17:00:00 CST
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$3,995.00
7/28/2025
Virtual
09:00:00-17:00:00 CST
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$3,995.00
8/25/2025
Virtual
09:00:00-17:00:00 CST
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$3,995.00
9/29/2025
Virtual
09:00:00-17:00:00 CST
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$3,995.00
10/27/2025
Virtual
09:00:00-17:00:00 CST
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$3,995.00
11/17/2025
Virtual
09:00:00-17:00:00 CST
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$3,995.00
12/15/2025
Virtual
09:00:00-17:00:00 CST
Enroll Now
$3,995.00
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