- 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
Exam format
50 questions, 70% passing, 90 minutes, online proctored exam
Course Modules
- 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
AI Tools
- AutoGluon
- ChatGPT
- SonarCube
- Vertex AI
