AI+ Architect™
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Description
AT-320
30 hours (5 Days)
50 MCQs, 90 Minutes
70% (35/50)
About Certification
- 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
- A foundational knowledge on neural networks, including their optimization and architecture for applications.
- Ability to evaluate models using various performance metrics to ensure accuracy and reliability.
- Willingness to know about AI infrastructure and deployment processes to implement and maintain AI systems effectively.
What Will You Learn?
End-to-End AI Solution Development: Learners will be able to develop end-to-end AI solutions, encompassing the entire workflow from data preprocessing and model building to deployment and monitoring. This includes integrating AI models into larger systems and applications, ensuring they work seamlessly within existing infrastructures.
Neural Network Implementation: Learners will gain hands-on experience in implementing various neural network architectures from scratch using programming frameworks like TensorFlow or PyTorch. This includes creating, training, and debugging models for different applications.
AI Research and Innovation: Learners will be equipped with the ability to conduct AI research, enabling them to stay at the forefront of AI developments. This includes identifying research gaps, proposing novel solutions, and critically evaluating current AI methodologies to drive innovation in the field.
Generative AI and Research-Based AI Design: Learners will explore advanced concepts in generative AI models and engage in research-based AI design. This includes developing innovative AI solutions and understanding the latest advancements in AI research, preparing them for cutting-edge applications and further research opportunities.
Industry Opportunities
AI Architect: Specializes in designing AI models, neural networks, and intelligent systems for diverse applications, including NLP and computer vision.
AI Solutions Architect: Leads the integration of AI into complex systems, ensuring the deployment of scalable and efficient AI solutions across various platforms.
Cloud AI Architect: Designs and implements AI-powered cloud infrastructures, focusing on the seamless integration of AI models.
AI Research Scientist: Engages in the development of new AI models and architectures, conducting cutting-edge research.
AI System Integrator: Focuses on the implementation and integration of AI components into existing systems, ensuring that AI-driven solutions.
At a Glance Overview
| Program Name | AI+ Architect™ |
|---|---|
| Included | Instructor-led OR Self-paced course + Official exam + Digital badge |
| Duration |
|
| 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 |
Exam Blueprint
| Module | Line Item | Percentage |
|---|---|---|
| Fundamentals of Neural Networks | Fundamentals of Neural Networks – 10% | 10% |
| Neural Network Optimization | Neural Network Optimization – 10% | 10% |
| Neural Network Architectures for NLP | Neural Network Architectures for NLP – 10% | 10% |
| Neural Network Architectures for Computer Vision | Neural Network Architectures for Computer Vision – 10% | 10% |
| Model Evaluation and Performance Metrics | Model Evaluation and Performance Metrics – 10% | 10% |
| AI Infrastructure and Deployment | AI Infrastructure and Deployment – 10% | 10% |
| AI Ethics and Responsible AI Design | AI Ethics and Responsible AI Design – 10% | 10% |
| Generative AI Models | Generative AI Models – 10% | 10% |
| Research-Based AI Design | Research-Based AI Design – 10% | 10% |
| Capstone Project and Course Review | Capstone Project and Course Review – 10% | 10% |
Salary Insights
| Median Salary | $120,319 |
|---|---|
| With AI Skills | $158,719 |
| Difference (%) | 32 |
| Role Based Course Hours | 40 Hours |
