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Catalog / All levels / CompTIA AI Essentials with 10 Practice Exams
Mammoth Club All levels 6 sections 53 lectures

CompTIA AI Essentials with 10 Practice Exams

Understand AI from the ground up without confusion or overwhelm. This course introduces you to the fundamentals of artificial intelligence in a way that actually makes sense.

MC
Created by Team Mammoth
·
53 lectures
01
Skill level
All levels
02
Sections
6
03
Lectures
53
04
Instructor
Team Mammoth
What's inside

This course includes.

✓
6
Sections
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content

Curriculum & lectures.

6 sections · 53 lectures
+ Chapter 1: Understanding Generative AI and Chatbots 8 lectures Preview
Lecture 1.1: What Is Generative AI Locked
Lecture 1.2: How Large Language Models Work Locked
Lecture 1.3: From Language Models to AI Assistants Locked
Lecture 1.4: AI Assistants in Everyday Work Locked
Lecture 1.5: Strengths of Generative AI Tools Locked
Lecture 1.6: Limitations of Generative AI Tools Locked
Lecture 1.7: Uncertainty and Variability in AI Outputs Locked
Lecture 1.8: Setting Realistic Expectations for AI Assistants Locked
+ Chapter 2: Creating Effective Prompts 9 lectures
Lecture 2.1: The Prompt as Your Primary Interface Locked
Lecture 2.2: Communicating Purpose Clearly Locked
Lecture 2.3: Providing Context to Guide Responses Locked
Lecture 2.4: Specifying Your Audience Locked
Lecture 2.5: Using Personas and Roles Locked
Lecture 2.6: Applying Constraints and Requirements Locked
Lecture 2.7: Structuring Multi-Part Prompts Locked
Lecture 2.8: Writing Concise and Focused Prompts Locked
Lecture 2.9: Common Prompt Mistakes and How to Avoid Them Locked
+ Chapter 3: Avoiding Hallucinations and Verifying Outputs 8 lectures
Lecture 3.1: What Are Hallucinations in Generative AI Locked
Lecture 3.2: Why Hallucinations Happen Locked
Lecture 3.3: When Hallucinations Are Most Likely Locked
Lecture 3.4: Recognizing Signs of Unreliable Outputs Locked
Lecture 3.5: Verification Strategies for Factual Claims Locked
Lecture 3.6: Asking the AI to Self-Check Locked
Lecture 3.7: Using Prompt Design to Reduce Hallucination Risk Locked
Lecture 3.8: Building Verification Into Your Workflow Locked
+ Chapter 4: Working in Conversational Loops with AI Assistants 9 lectures
Lecture 4.1: Why One-Off Prompts Often Fall Short Locked
Lecture 4.2: Treating AI Interactions as Conversations Locked
Lecture 4.3: Giving Effective Feedback on AI Responses Locked
Lecture 4.4: Introduction to Prompt Chaining Locked
Lecture 4.5: Designing Effective Prompt Chains Locked
Lecture 4.6: Iterative Refinement Techniques Locked
Lecture 4.7: Maintaining Context Across a Conversation Locked
Lecture 4.8: Knowing When to Start Fresh Locked
Lecture 4.9: Applying Conversational Loops to Workplace Tasks Locked
+ Chapter 5: Using AI Responsibly with Sensitive Information 9 lectures
Lecture 5.1: Understanding What Happens to Your Inputs Locked
Lecture 5.2: Categories of Sensitive Information Locked
Lecture 5.3: Risks of Sharing Personal Data Locked
Lecture 5.4: Risks of Sharing Proprietary and Business Information Locked
Lecture 5.5: Data Privacy Regulations and Compliance Locked
Lecture 5.6: Understanding Your Organization's AI Policies Locked
Lecture 5.7: Practical Techniques for Protecting Sensitive Information Locked
Lecture 5.8: Evaluating AI Tools and Provider Policies Locked
Lecture 5.9: Making Responsible AI Use a Daily Habit Locked
+ Chapter 6: Identifying Practical AI Use Cases in Your Role 10 lectures
Lecture 6.1: Recognizing High-Value Opportunities for AI Assistance Locked
Lecture 6.2: Mapping Your Daily Workflow for AI Integration Locked
Lecture 6.3: Streamlining Routine Communication Tasks Locked
Lecture 6.4: Overcoming Blank Page Paralysis Locked
Lecture 6.5: Accelerating Document Drafting and Editing Locked
Lecture 6.6: Summarizing and Synthesizing Information Locked
Lecture 6.7: Supporting Research and Information Gathering Locked
Lecture 6.8: Enhancing Analysis and Decision Support Locked
Lecture 6.9: Brainstorming and Idea Generation Locked
Finding the Exams Locked
Description

About this course.

You'll explore key AI concepts, terminology, and how AI fits into the bigger picture of technology and everyday life.

► Grasp core AI concepts and how they work

► Understand different types of AI and their applications

► Learn the basics of machine learning and AI systems

► Explore real world AI use cases and implications

► Build foundational knowledge to continue your AI journey

✔️ Lifetime Access

✔️ 10 Practice Exams (with unlimited attempts)

If you have ever been curious about how AI works but felt overwhelmed by the jargon this is your starting point. We provide a clear path to understanding the technology that is shaping our future.

Ready to demystify AI? Start building your foundation today.

Ready to start building?

Understand AI from the ground up without confusion or overwhelm. This course introduces you to the fundamentals of artificial intelligence in a way that actually makes sense.

Buy lifetime access →