Curriculum

  • 8 Sections
  • 24 Lessons
  • 10 Hours
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  • Module 1: Introduction to Artificial Intelligence
    3
    • 1.1
      What is AI?
    • 1.2
      AI Applications in the Real World
    • 1.3
      Ethical Considerations in AI
  • Module 2: Current AI Technologies and Tools
    3
    • 2.1
      Overview of Leading AI Models
    • 2.2
      AI in Search, Content Creation, and Assistance
    • 2.3
      AI in Business, Healthcare, and Cybersecurity
  • Module 3: Fundamentals of Machine Learning
    3
    • 3.1
      Types of Machine Learning
    • 3.2
      Key ML Concepts
    • 3.3
      Essential ML Algorithms
  • Module 4: Deep Learning and Neural Networks
    3
    • 4.1
      Basics of Neural Networks
    • 4.2
      Deep Learning Frameworks
    • 4.3
      Convolutional Neural Networks (CNNs) & Recurrent Neural Networks (RNNs)
  • Module 5: Natural Language Processing (NLP)
    3
    • 5.1
      Introduction to NLP
    • 5.2
      Sentiment Analysis and Chatbots
    • 5.3
      Transformers and Large Language Models
  • Module 6: AI in Robotics and Automation
    3
    • 6.1
      AI in Autonomous Systems
    • 6.2
      AI-powered Process Automation
    • 6.3
      Computer Vision and Object Detection
  • Module 7: AI Model Deployment and Optimization
    3
    • 7.1
      Model Deployment Strategies
    • 7.2
      AI Model Optimization
    • 7.3
      AI Security and Adversarial Attacks
  • Module 8: AI Summary and Certification
    4
    • 8.1
      Command Prompt Engineering
    • 8.2
      Future Trends in AI
    • 8.3
      AI Summary
    • 8.4
      Artificial Intelligence AI Assessment
      30 Minutes15 Questions

Artificial Intelligence (AI) Training

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