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Introduction to AI
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Introduction to AI Introduction
Welcome to the Introduction to AI, a 1/2 day in-depth training course. Artificial Intelligence (AI) has emerged as one of the most significant technological advances of the modern era, spurring debate around its potential to revolutionize industries and society while also posing challenges.
But what exactly is AI? At its core, AI involves creating machines or software capable of mimicking human thinking. This course dives beyond this fundamental definition to uncover the intricate components that make AI possible.
By exploring these elements, participants will gain a thorough understanding of what AI is, what it isn’t, and the ethical and safety considerations necessary for using it responsibly.
This course offers a comprehensive overview of AI, from the basic terminology to practical applications. We will explore how AI is created, dive into the critical concepts of machine learning and deep learning, and examine the ethical dilemmas that come with AI adoption.
By the end of this course, participants will be equipped to navigate the evolving landscape of AI, from identifying the right tools to crafting effective prompts, and understanding the inherent risks and ethical issues.
Introduction to AI Course Objectives
By the end of the course, participants will be able to:
- Define AI and understand its core concepts and types.
- Identify how AI is used in the federal government.
- Understand the process of creating AI models, including data collection, preparation, and training.
- Recognize common AI terms and their implications.
- Learn how to use AI effectively by identifying tools and refining prompts.
- Grasp the fundamentals of machine learning, including best practices and model selection.
- Familiarize themselves with popular AI tools for content and image creation.
- Identify the ethical implications of AI, including misinformation, bias, privacy, and accountability.
- Understand the risks associated with AI use and implement strategies for secure usage.
Prerequisites
- Attendees should be able to navigate a computer and have basic internet search skills.
Introduction to AI Course Outline
Introduction to AI
- Definition
- Examples
- How AI is used in the Federal Government
How is AI Created?
- Collect Data
- Prepare Data
- Choose Learning Model
- Train and Test Model
- Deploy
Common AI Terms
- Types of AI
- Capability Based
- Functionality Based
- AI Constraints
- Understanding AI limitations
- What it is and is not
How to Use AI
- ID the Tool
- Create the Prompt
- Review and Refine
Machine Learning
- Deep Learning
- Benefits of Machine Learning
- Machine Learning Best Practices
- Selecting a Machine Learning Model
Popular AI Tools
- Different Tools Available
- Creating content
- Creating Images
AI Ethics
- Deep Fakes and Misinformation
- Bias and Discrimination
- Copyright and Intellectual Property
- Privacy and Data Security
- Accountability
Stay Safe Using AI
- Secure AI
- Risks
- AI Privacy
$250.00
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1/2 Day Course |