AI+ Architect Practitioner™

  • From 505 EUR + VAT
  • Self-paced online Start anytime
  • Duration 40 hours of content, self-paced
  • Language English
  • Topic AI Cloud

Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

  • 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

Prerequisites

key concepts in both artificial intelligence, Fundamental understanding of computer science, Familiarity with cloud computing platforms like AWS, Azure, or GCP

Audience

Who is it for

Architecture Professionals: Enhance your architectural design skills by integrating AI to create scalable, efficient, and intelligent systems for modern solutions.

Systems Architects & Engineers: Learn to leverage AI to design and build sophisticated, scalable infrastructures while automating key processes.

IT Infrastructure Managers: Use AI to optimize architecture planning, streamline infrastructure deployment, and ensure seamless system integration.

Business Leaders: Drive transformation within your organization by adopting AI-driven architectural solutions to enhance scalability, reduce costs.

Students & New Graduates: Gain a competitive edge in the tech industry by mastering AI architectural techniques and tools.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam
  • Digital badge after passing the exam

Course content

Syllabus

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

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online proctored exam

Private training for your team?

Any of our courses can be delivered as a private, in-company training, tailored to your organisation, in English or Hungarian.

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