Course curriculum

    1. Welcome to Class

      FREE PREVIEW

    2. Course Map - What You Are Going To Learn

      FREE PREVIEW

    3. Help With The AI Terms To Demystify AI

    1. Understanding Modern AI Intro

      FREE PREVIEW

    2. More Than a Search Engine: Defining Modern AI

      FREE PREVIEW

    3. Multimodal AI: The Brain with Eyes, Ears, and a Voice Part 1

      FREE PREVIEW

    4. Multimodal AI: The Brain with Eyes, Ears, and a Voice Part 2

      FREE PREVIEW

    5. The 80% Problem: Unlocking the Value of Unstructured Data

    6. Integrating AI: Understanding AI's Role in Business

    7. Navigating AI in Business: Three Key Layers of Application

    8. Quantifying AI’s Impact on Productivity

    9. Navigating AI Safely: Essential Guidelines for Professionals

    10. The AI Revolution: Understanding Its Rapid Rise and Accessibility

    11. Inside AI: Why Smart AI Makes Stupid Mistakes

    12. Inside AI: Pattern Replication

    13. EXERCISE PREVIEW - AI, a Probability Engine

    14. EXERCISE - AI a Probability Engine

    15. AI Uncovered: Clarifying Misunderstandings and Fears

    16. Understanding AI Limitations: Context, Can Be Confidently Wrong

    17. Understanding AI Limitations: Hallucinations

    18. Understanding Modern AI wrap up

    19. Quiz 1

    1. How Agents Are Different to LLMs

    2. Using Claude Agent To Book A Hotel

      FREE PREVIEW

    3. Using ChatGPT Agent Mode To Book A Hotel

    4. Using Agents To Book Meetings And Read Emails

    5. Agents For Development Without Knowing Code

      FREE PREVIEW

    6. EXERCISE PREVIEW - Create Your First AI Agent

    7. EXERCISE - Create Your First AI Agent

    1. AI Safety Intro

    2. Responsible AI In Our Workplace

    3. Major Risks in AI Misuse

    4. AI Gone Wrong: Real-World Cases

    5. AI Security: Three-Tiered Framework

    6. Tier 2: Enterprise, Your Go-To For Work

    7. EXERCISE PREVIEW -What Not To Do With Sensitive Data

    8. EXERCISE - Don't Leak Sensitive Data

    9. Ethics and Bias in AI: Accountability, Dilemmas, Hallucination, Human Review

    10. EXERCISE - Spot The Bias In the Resume Sifting System

    11. Human-in-the-loop Safeguard

    12. Copyright, IP, Legal Considerations in AI

    13. Evaluating and Verifying AI Outputs

    14. Dependency and Loss of Control

    15. EU AI Act and the 4 Levels of AI Risk

    16. EU AI Act: High Risk

    17. EU AI Act: Medium Risk

    18. EU AI Act: Low Risk

    19. AI Safety wrap up

    20. Quiz 2

    1. Designing Effective Prompts Intro

    2. Moving Beyond Basic Prompting

    3. How to Guide AI Through Complex Tasks

    4. Get It Right the First Time: The 3 Steps For A Better Prompt

    5. A Template For Effective Prompting

    6. How Structure Improves AI Understanding

    7. Structure: Prompt Example

    8. The Core Quadrants: Task, Role, Limits, Guidance

    9. How Emotion Prompting Optimizes Complex Tasks

    10. Boost Accuracy with Role Prompting

    11. Context: Why AI Needs Background Details

    12. Steps: Gide It Through The Task & Chain-of-Thought Prompting

    13. Using Templates for Consistent Results

    14. How Examples Improve AI Output

    15. Improving AI Output Through Iteration

    16. Designing Effective Prompts wrap up

    17. Quiz 3

    1. Prompt Elements Intro

    2. Meta-prompting

    3. Setting Up Our Prompt In a GPT Project

    4. Role Element

    5. Pseudonymisation

    6. Context Element

    7. 5 Context Memory and Securing Your Personal Data

    8. EXERCISE PREVIEW - Prompt Before and After Challenge

    9. EXERCISE - Prompt Before and After Challenge

    10. Prompt Elements wrap up

About this course

  • $12.00
  • 134 lessons
  • 7 hours of video content

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