AI+ Architect

Hours: 40 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 40
Retail Price: $495.00

Course Overview:

The AI+ Architect course provides comprehensive training in the latest advancements in neural networks, cutting-edge AI technologies, and system architecture design. This course equips learners with in-depth knowledge of neural network fundamentals, natural language processing (NLP), and computer vision frameworks. Students will master the art of optimizing AI models, evaluating performance metrics, and integrating AI within scalable systems for real-world applications. With a focus on ethical AI practices and generative AI methodologies, this certification ensures participants are industry-ready to drive innovation in AI systems and enterprise-level AI strategies. Participants will also gain hands-on experience through a Capstone Project, applying their skills to develop, test, and deploy AI solutions in high-demand fields like predictive analytics, research-based AI design, and scalable neural network solutions.

Recommended Prerequisites:

• Foundational Knowledge of Neural Networks: Understanding architecture, optimization, and their role in AI applications.
• Model Evaluation Skills: Ability to assess performance metrics for reliability and scalability.
• AI Deployment Awareness: Familiarity with infrastructure and processes for seamless integration of AI systems.

Course Outline:

Lesson 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

Lesson 2: Neural Network Optimization

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

Lesson 3: Neural Network Architectures for NLP

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

Lesson 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

Lesson 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

Lesson 6: AI Infrastructure and Deployment

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

Lesson 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

Lesson 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

Lesson 9: Research-Based AI Design

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

Lesson 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

Optional Lesson: AI Agents for Architect

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

All necessary course materials are included.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.