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AI+ Architect (AF-2301)

This certification is designed for cloud architects ready to integrate AI into modern infrastructure. You’ll go from neural network foundations to deployment, optimization, and ethics. The program blends deep learning models, cloud platforms, and real-world architecture use cases into one high-impact learning experience.

You’ll complete a capstone project to demonstrate your ability to solve enterprise-level problems using AI.

Overview

Overview

Cloud architecture is evolving with AI at its core. This course prepares you to lead that change. You’ll work with neural network designs, apply them in NLP and computer vision tasks, and explore infrastructure strategies using AWS, Azure, and Google Cloud.

From designing scalable AI systems to navigating bias and ethical frameworks, this course helps you think like a systems architect with AI fluency. Every module includes tools, diagrams, hands-on labs, and practical frameworks.

Prerequisites
  • Completion of AI+ Cloud certification

  • Understanding of neural networks, architectures, and model evaluation

  • Familiarity with cloud platforms, security, and data integration

  • Curiosity for responsible AI development and deployment

Target Audience
  • Cloud architects leading AI-integrated infrastructure

  • AI specialists building scalable deployment systems

  • IT professionals focused on cloud security, performance, and automation

  • Data scientists leveraging cloud systems for AI at scale

  • Developers and technical managers working on AI-powered platforms

Exam Blueprint
  • Fundamentals of Neural Networks – 10%
  • Neural Network Optimization – 10%
  • Neural Network Architectures for NLP – 10%
  • Neural Network Architectures for Computer Vision – 10%
  • Model Evaluation and Performance Metrics – 10%
  • AI Infrastructure and Deployment – 10%
  • AI Ethics and Responsible AI Design – 10%
  • Generative AI Models – 10%
  • Research-Based AI Design – 10%
  • Capstone Project and Course Review – 10%
FAQs

1. Can the course be taken online?
Yes. The course is available as a virtual instructor-led session with live teaching and hands-on labs.

2. Is in-person training available?
Yes. In-person sessions can be arranged at certified training centers or as private sessions for institutions or corporate teams.

3. Will I receive official course materials?
Yes. All participants receive electronic access to course materials. Printed versions are available upon request.

4. Is there a certificate of completion?
Yes. Upon successful completion of the course, participants will be awarded an AI CERTs official certificate.

Course Outline

  • Course Introduction

Module 1: Fundamentals of Neural Networks

  • Introduction to Neural Networks

  • Neural Network Architecture

  • Hands-on: Implement a Basic Neural Network

Module 2: Neural Network Optimization

  • Hyperparameter Tuning

  • Optimization Algorithms

  • Regularization Techniques

  • Hands-on: Hyperparameter Tuning and Optimization

Module 3: Neural Network Architectures for NLP

  • Key NLP Concepts

  • NLP-Specific Architectures

  • Hands-on: Implementing an NLP Model

Module 4: Neural Network Architectures for Computer Vision

  • Key Computer Vision Concepts

  • Computer Vision-Specific Architectures

  • Hands-on: Building a Computer Vision Model

Module 5: Model Evaluation and Performance Metrics

  • Model Evaluation Techniques

  • Improving Model Performance

  • Hands-on: Evaluating and Optimizing AI Models

Module 6: AI Infrastructure and Deployment

  • Infrastructure for AI Development

  • Deployment Strategies

  • Hands-on: Deploying an AI Model

Module 7: AI Ethics and Responsible AI Design

  • Ethical Considerations in AI

  • Best Practices for Responsible AI Design

  • Hands-on: Analyzing Ethical Considerations in AI

Module 8: Generative AI Models

  • Overview of Generative AI Models

  • Generative AI Applications in Various Domains

  • Hands-on: Exploring Generative AI Models

Module 9: Research-Based AI Design

  • AI Research Techniques

  • Cutting-Edge AI Design

  • Hands-on: Analyzing AI Research Papers

Module 10: Capstone Project and Course Review

  • Capstone Project Presentation

  • Course Review and Future Directions

  • Hands-on: Capstone Project Development

Optional Module: AI Agents for Architect

  • Understanding AI Agents

  • Case Studies

  • Hands-On Practice with AI Agents

Note : A representative from Datacipher will contact you with further details
Payment Methods

At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:

Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.

Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.

Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.

These options are designed to make the registration process as smooth and flexible as possible for all participants.

Status

Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.

Guaranteed on Next Booking – The course will proceed once an additional student registers.

Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.

Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.

Half and Full-Day Training

At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.

The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.

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