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Artificial Intelligence Principles

Welding Technology · Level 6  ·  5 Chapters

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Chapters

1
Identify fundamentals of Artificial Intelligence
52 topics
No Notes Yet
2
Apply AI-Assisted Engineering Problem Solving
31 topics
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3
Configure Python Programming Environment for Engineering Applications
55 topics
No Notes Yet
4
Apply AI Tools in Engineering Applications
7 topics
No Notes Yet
5
Apply Ethical AI Practices
12 topics
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What Artificial Intelligence Principles covers: 27 main topics in 5 chapters

1. Identify fundamentals of Artificial Intelligence

  1. 1.1 Fundamentals Artificial · Intelligence ·
  2. 1.2 History of Artificial Intelligence
  3. 1.3 Foundations of Artificial Intelligence
  4. 1.4 Applications of Artificial Intelligence
  5. 1.5 Intelligence agents
  6. 1.6 Recognizing Artificial Intelligence applications in real life
  7. 1.7 Generative Artificial Intelligence
  8. 1.8 Prompt Engineering

2. Apply AI-Assisted Engineering Problem Solving

  1. 2.1 Computational Thinking in · Engineering ·
  2. 2.2 AI-Assisted Engineering Problem Solving
  3. 2.3 Engineering Data Analysis Using AI
  4. 2.4 AI-Assisted Decision Support
  5. 2.5 Fundamentals of Machine Learning
  6. 2.6 Evaluating AI Solutions

3. Configure Python Programming Environment for Engineering Applications

  1. 3.1 Installation of Python ·
  2. 3.2 Python syntax
  3. 3.3 Python data types
  4. 3.4 Control structures in Python
  5. 3.5 Functions in Python
  6. 3.6 Object Oriented Python
  7. 3.7 Scientific Modules in Python
  8. 3.8 Creation of applications using Scientific Modules

4. Apply AI Tools in Engineering Applications

  1. 4.1 Sci-Kit Learn ·
  2. 4.2 Machine Learning with K- · Nearest Neighbours ·
  3. 4.3 Machine Learning with Naïve Bayes Algorithm

5. Apply Ethical AI Practices

  1. 5.1 AI Applications in Engineering
  2. 5.2 Responsible and Ethical AI Practices

Revise this unit

Exam-style questions Written to CDACC standard, with answers Test yourself Multiple-choice, one at a time Practise questions Quick recall — check you know the facts
3 more for this unit
Oral exam preparation What the assessor asks, and how to answer out loud Worked calculations Step-by-step maths with the common mistakes Quick cards Myth busters, skill tips and scenarios

Beyond the syllabus

Decision simulator On site, what would you do? Workplace scenarios Real site situations — what would you do? Turn this into income Where this skill earns — what to charge, how to find clients

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