AI+ Architect™

Visualize Tomorrow: Neural Networks in Vision

• Deep AI Expertise: Covers neural networks, NLP, and computer vision frameworks

• Enterprise AI: Learn to design scalable AI systems for real-world impact

• Capstone Integration: Build, test, and deploy advanced AI architectures

• Industry Preparedness: Equips you for roles in high-demand AI design domains

Certification Overview

1. Course Introduction Preview 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
   Optional Module: AI Agents for Architect
   • 1. Understanding AI Agents
   • 2. Case Studies
   • 3. Hands-On Practice with AI Agents
   Tools you will explore
   • AutoGluon
   • ChatGPT
   • SonarCube
   • Vertex AI

Exam: 50 questions, 70% passing, 90 minutes, online proctored examInstructor-led OR Self-paced course + Official exam + Digital badge