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[Free] Training: The Process Of Teaching &Amp; Learning With The Ai

Training Your AI Model As If It Were An Employee – Free Course

Added on July 19, 2025 IT & Software 3 min read

What you’ll learn

• Explain the importance and benefits of training the AI like an employee
• Identify and select the best data sources and types for your use case and budget
• Use different methods and criteria to provide positive or negative feedback to the AI
• Use different types of machine learning techniques such as supervised learning, unsupervised learning, reinforcement learning, etc. to train the AI
• Use different tools and platforms such as CodeAI , Google Colab , TensorFlow , etc. to facilitate and support training the AI
• Use different metrics and indicators such as accuracy, precision, recall, etc. to monitor and measure the AI’s progress and performance
• Use different strategies and methods such as debugging, testing, tuning, etc. to troubleshoot or improve the AI’s behavior or performance

Requirements

• No programming experience is required. It is helpful to have taken the prior courses in this series but not required.

Description

In this course, you will learn how to train the AI that you have hired for your business. You will learn how to provide the AI with the necessary data and feedback to help it learn and improve. You will also learn how to monitor and supervise the AI’s progress and performance.

This course is designed for anyone who is interested in learning more about AI and machine learning, or who wants to train their own AI without coding. Whether you are a beginner or an expert, this course will help you understand how to train AI like an employee.

To take this course, you should have a basic understanding of what AI and machine learning are and some of the common applications of AI and machine learning in different domains. You should also have completed the first two courses in this series, “Treating AI Like An Employee: What To Expect & Not Expect From Your New Employee” and “Hiring The Right AI For Your Particular Business & Need”.

The course consists of four sections, each covering a different topic related to training AI like an employee. Each section has several lectures, quizzes, and assignments to help you learn and practice the concepts. At the end of the course, you will have a final project where you will apply what you have learned to train your own AI for your business.

The main topics that we will cover in this course are:

• Section 1: How to provide data and feedback to the AI

• Section 2: How to use different techniques and tools to train the AI

• Section 3: How to monitor and supervise the AI’s progress and performance

• Section 4: How to troubleshoot or improve the AI’s behavior or performance

By the end of this course, you will be able to:

• Explain the importance and benefits of training the AI like an employee

• Identify and select the best data sources and types for your use case and budget

• Use different methods and criteria to provide positive or negative feedback to the AI

• Use different types of machine learning techniques such as supervised learning, unsupervised learning, reinforcement learning, etc. to train the AI

• Use different tools and platforms such as CodeAI , Google Colab , TensorFlow , etc. to facilitate and support training the AI

• Use different metrics and indicators such as accuracy, precision, recall, etc. to monitor and measure the AI’s progress and performance

• Use different strategies and methods such as debugging, testing, tuning, etc. to troubleshoot or improve the AI’s behavior or performance

I hope you are excited to join me on this journey of learning how to train AI like an employee. I look forward to seeing you in the next lecture. Thank you for choosing this course.