Leverage AI for Smarter Architecture Decisions:
Learn how to use AI tools to optimize architectural design, improve scalability.
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AI CERTS® certification
AI+ Architect Practitioner™
Formerly known as AI+ Architect™ Visualize Tomorrow: Neural Networks in Vision
Enquire about this certificationCourse code: AT-320
Course overview
Review the course before deciding whether it is suitable.
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
- Included
- Instructor-led OR Self-paced course + Official exam + Digital badge
- Duration
- Instructor-Led: 5 days (live or virtual)Self-Paced: 40 hours of content
- Exam format
- 50 questions, 70% passing, 90 minutes, online proctored exam
- Prerequisites
- key concepts in both artificial intelligence, Fundamental understanding of computer science, Familiarity with cloud computing platforms like AWS, Azure, or GCP
Course focus
Why this certification may be relevant.
Enhance AI Integration in Architectural Projects:
Use AI to integrate innovative solutions into your architectural designs, automating workflows.
Stay Ahead in AI-Powered Architecture Innovation:
As AI adoption in architecture accelerates, professionals with advanced AI knowledge.
Boost Strategic Decision-Making with AI Insights:
Master AI models to analyze architectural data, predict trends, and drive data-driven decisions.
Advance Your Career in AI Architecture:
As AI revolutionizes architecture, this certification equips you with the skills to lead AI initiatives.
Who it may suit
Check the intended audience against your experience and goals.
- 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.
Course content
Modules supplied by AI CERTs.
Open each module to review the stated topics.
01Certification Overview
- Course Introduction Preview
02Module 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
03Module 2: Neural Network Optimization
- 2.1 Hyperparameter Tuning
- 2.2 Optimization Algorithms
- 2.3 Regularization Techniques
- 2.4 Hands-on: Hyperparameter Tuning and Optimization
04Module 3: Neural Network Architectures for NLP
- 3.1 Key NLP Concepts
- 3.2 NLP-Specific Architectures
- 3.3 Hands-on: Implementing an NLP Model
05Module 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
06Module 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
07Module 6: AI Infrastructure and Deployment
- 6.1 Infrastructure for AI Development
- 6.2 Deployment Strategies
- 6.3 Hands-on: Deploying an AI Model
08Module 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
09Module 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
10Module 9: Research-Based AI Design
- 9.1 AI Research Techniques
- 9.2 Cutting-Edge AI Design
- 9.3 Hands-on: Analyzing AI Research Papers
11Module 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
12Optional Module: AI Agents for Architect
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Tools referenced by AI CERTs
Platforms and tools included in the course information.
AutoGluon
ChatGPT
SonarCube
Vertex AIThis course information is supplied through the AI CERTs catalogue. Kiwi Fern Education will confirm current availability, delivery arrangements, inclusions and fees before enrolment. The programme is not presented as a New Zealand Qualifications Authority qualification.
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Tell us whether you are enquiring for yourself or a team and what capability you want to build. We will confirm the next steps before you commit.