IT-Trainer Jobs und Stellenangebote: AI+ Architect (Self-Paced Training)

Seminardauer: 5 Tage

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IT-Trainer Jobs und Stellenangebote: AI+ Architect (Self-Paced Training), AI CERTs, Fachexperten, KI-Experte.

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Agenda

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
    1. Case Studies
    1. Hands-On Practice with AI Agents