AI+ Architect Practitioner™

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

* 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

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Instructor-led OR Self-paced course + Official exam + Digital badge