BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Course Overview
Phoenix TS’ 5-day, instructor – led AI+ Architect training and certification course in Washington, DC Metro, Columbia, MD, or Live Online offers comprehensive training in advanced neural network techniques and architectures. It covers the fundamentals of neural networks, optimization strategies, and specialized architectures for natural language processing (NLP) and computer vision. Participants will learn about model evaluation, performance metrics, and the infrastructure required for AI deployment. The course emphasizes ethical considerations and responsible AI design, alongside exploring cutting-edge generative AI models and research-based AI design methodologies. A capstone project and course review consolidate learning, ensuring participants can apply their skills effectively in real-world scenarios. This certification equips learners with the knowledge and practical experience to excel in AI architecture and development.
As an AI CERTs Silver Tier Partner, Phoenix TS delivers official AI CERTs certification programs and offers self-paced learning options at competitive pricing, making it easier than ever for individuals and teams to stay ahead in today’s AI-driven workplace.
Schedule
AI+ Architect
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Why This Certification Matters
- Leverage AI for Smarter Architecture Decisions: Learn how to use AI tools to optimize architectural design, improve scalability.
- 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.
At a Glance: Course + Exam Overview
Program Name:
- AI+ Architect™
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
Prerequisites:
- Key concepts in both artificial intelligence
- Fundamental understanding of computer science,
- Familiarity with cloud computing platforms like AWS, Azure, or GCP
Exam Format:
- 50 questions, 70% passing, 90 minutes, online proctored exam
Delivery:
- Online labs, projects, case studies
Outcome:
- Industry-recognized credential + hands-on experience
What You’ll Learn
- Fundamentals of Neural Networks
- Neural Network Optimization
- Neural Network Architectures for NLP
- Neural Network Architectures for Computer Vision
- Model Evaluation and Performance Metrics
- AI Infrastructure and Deployment
- AI Ethics and Responsible AI Design
- Generative AI Models
- Research-Based AI Design
Who Should Enroll?
- 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.
Skills You’ll Gain
- Advanced Neural Network Design
- AI Model Evaluation & Performance Metrics
- Generative AI for Architecture
- AI Deployment & Infrastructure
- Machine Learning Optimization Shape
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
Frequently Asked Questions
What is the duration of the AI+ Architect certification course?
The certification lasts 40 hours, typically completed over 5 days, providing an intensive learning experience.
What will I learn in the AI+ Architect certification?
You will learn advanced neural network techniques, model optimization, NLP and computer vision architectures, AI deployment infrastructure, and ethical AI design.
Who should enroll in this course?
This course is ideal for AI architects, engineers, software developers, and professionals seeking to master AI architectures and neural networks.
Do I need prior experience to enroll in the AI+ Architect course?
A foundational understanding of AI and neural networks is recommended but not required, as the course starts with core concepts.
What is the outcome after completing the AI+ Architect certification?
Participants will be equipped with both theoretical and practical knowledge to design, optimize, and implement AI architectures.
BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Phoenix TS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints re-garding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org
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