AI+ Architect AT-320

Visualize Tomorrow: Neural Networks in Vision

  • 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

AI+ Architect AT-320

Virtual Instructor Led Online Schedule

Virtual Instructor-Led Online Training

Duration

5 Day

Price

$3,995.00

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Virtual Instructor-Led Online Training

Duration

40 Hours (Self-Paced)

Price

$495.00

Contact Us

Interested in group training?

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Schedule Course Outline

Course Schedule

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Course Outline

  • 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. 
  • 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.
  • Advanced Neural Network Design
  • AI Model Evaluation & Performance Metrics
  • Generative AI for Architecture
  • AI Deployment & Infrastructure
  • Machine Learning Optimization Shape
  1. 1.1 Introduction to Neural Networks
  2. 1.2 Neural Network Architecture
  3. 1.3 Hands-on: Implement a Basic Neural Network
  1. 2.1 Hyperparameter Tuning
  2. 2.2 Optimization Algorithms
  3. 2.3 Regularization Techniques
  4. 2.4 Hands-on: Hyperparameter Tuning and Optimization
  1. 3.1 Key NLP Concepts
  2. 3.2 NLP-Specific Architectures
  3. 3.3 Hands-on: Implementing an NLP Model
  1. 4.1 Key Computer Vision Concepts
  2. 4.2 Computer Vision-Specific Architectures
  3. 4.3 Hands-on: Building a Computer Vision Model
  1. 5.1 Model Evaluation Techniques
  2. 5.2 Improving Model Performance
  3. 5.3 Hands-on: Evaluating and Optimizing AI Models
  1. 6.1 Infrastructure for AI Development
  2. 6.2 Deployment Strategies
  3. 6.3 Hands-on: Deploying an AI Model
  1. 7.1 Ethical Considerations in AI
  2. 7.2 Best Practices for Responsible AI Design
  3. 7.3 Hands-on: Analyzing Ethical Considerations in AI
  1. 8.1 Overview of Generative AI Models
  2. 8.2 Generative AI Applications in Various Domains
  3. 8.3 Hands-on: Exploring Generative AI Models
  1. 9.1 AI Research Techniques
  2. 9.2 Cutting-Edge AI Design
  3. 9.3 Hands-on: Analyzing AI Research Papers
  1. 10.1 Capstone Project Presentation
  2. 10.2 Course Review and Future Directions
  3. 10.3 Hands-on: Capstone Project Development
  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

Virtual Instructor-Led Online Training

Duration

5 Day

Price

$3,995.00

Contact Us

Virtual Instructor-Led Online Training

Duration

40 Hours (Self-Paced)

Price

$495.00

Contact Us

Interested in group training?

Contact Us