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1 - Course Introduction (Description).html
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1 - Introduction
2 - Using AI in Support of the 5-Step Decision Model
3 - Section 3 Judgment and Thinking in the AI Era
4 - Section 4 Course Prompt Pack
12 - Your SmarterDecisionsAI Prompt Pack (Description).html
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13 - Staying the Captain Preserving Human Judgment in the Age of AI (Description).html
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14 - The Emerging AI Toolkit Tools That Support Better Thinking and Decisions (Description).html
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1 - Course Overview & Roadmap
1. Course Introduction (Description).html
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716 B
2 - AI for Instructors & Teachers From Lesson Planning to Student Engagement
3 - AI Tools for Digital Content Creators Content Creation, Rewriting & Multi-Platf
18. ChatGPT – Writing Blog Post Introduction Paragraphs (Description).html
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1 - Introduction & Getting Started
10 - Course Wrap-Up
2 - Electronic and Electrical Maintenance Repair
3 - Tools Needed
1. Essential Tools for Electronic Maintenance Quiz (Description).html
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2. Hand Tools and Measurement Instruments Quiz (Description).html
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4 - Electronic Components
3. Electronic Components Quiz (Description).html
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5 - Testing
4. Testing Electronic Components Quiz (Description).html
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6 - Troubleshooting
5. Safety and Maintenance Concerns Quiz (Description).html
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7 - Introduction to Electronic Components A Step By Step Guide
10. esting Capacitors and Inductors Quiz (Description).html
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11. Diodes, Zener Diodes, and LEDs Quiz (Description).html
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12. Introduction and Testing Transistors Quiz (Description).html
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6. Basic Electrical Concepts and Tools Quiz (Description).html
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7. Measurement Techniques with Volt Ohm Meter Quiz (Description).html
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8. Practical Measurement Techniques and Circuit Diagrams Quiz (Description).html
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9. Resistors, Capacitors, and Ohm's Law Quiz (Description).html
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8 - Practice Test
1. Electronic and Electrical Maintenance Repair - Practice Test (Description).html
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1 - Introduction
10 - S02L04 - Machine Learning Explained
11 - S02L05 - Generative AI and Applications
12 - Assignment Understanding AI Fundamentals
13 - 01_S03L01 - ChatGPT Getting Started and Interface
2 - 02_Meet Your Instructor Learning Approach
3 - 03_Course Roadmap_What you will learn
3 - 03_Course Roadmap_What you will learn (Description).html
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4 - 04_How to Use This Course_Effectively
4 - 04_How to Use This Course_Effectively (Description).html
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5 - 05_Resources & Getting Started
5 - 05_Resources & Getting Started (Description).html
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6 - Assignment Getting Started with Your AI Learning Journey
7 - S02L01 - What is Artificial Intelligence
7 - S02L01 - What is Artificial Intelligence (Description).html
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8 - S02L02 - History of AI
8 - S02L02 - History of AI (Description).html
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9 - S02L03 - Types of AI
9 - S02L03 - Types of AI (Description).html
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1 - Introduction & Welcome
1 - A Warm Welcome & Course Introduction (Description).html
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1 - Introduction
1 - Welcome & Course Overview (Description).html
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1 - Introduction of course
1 - Introduction (Description).html
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716 B
2 - Become Zero to Hero Trader
5 - MetaTrader 5, Risk Management, Lot Sizing and Positions (Description).html
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2 matching files, 9 total files.
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1 - Introduction
10 - Chapter 8 Incompetence and Technology
11 - The Seduction of Shortcuts
12 - Entrenched Mediocrity
13 - Course Summary The Architecture of Incompetence
13. Incomptence 101 Final Exam (Description).html
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2 - An Interview with Lady Incompetencia
2. An Interview with Lady Incompetencia (Description).html
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3 - Chapter 1 Accidental Incompetence
3. Chapter 1 Accidentlal Incompetence (Description).html
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4 - Systemic Incompetence
4. Chapter 2L Systemic Incompetence (Description).html
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5 - Rising to Incompetence
5. Chapter 3 Quiz, Rising to Incompetence (Description).html
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6 - Weaponized Incompetence
6. Weaponizing Incompetence (Description).html
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7 - Chapter 5 Cultural Dissonance
7. Chapter 5 Quiz Cultural Dissonance (Description).html
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8 - Chapter 6 Incompetence in Leadership
8. Incompetence in Leadership (Description).html
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9 - Chapter 7 The Economics of Incompetence
9. The Economics of Incompetence (Description).html
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716 B
9 matching files, 50 total files.
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1 - Introduction
1. Welcome to the Course (Description).html
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2. Course Requirements (Description).html
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2 matching files, 109 total files.
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1 - COURSE INTRODUCTION
1. Introduction (Description).html
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2 - MODULE 1 - UNDERSTANDING AI BASICS
1. UNDERSTANDING AI BASICS (Description).html
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2. Module Introduction (Description).html
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3. Lesson 1 What AI is (and What it is NOT) (Description).html
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4. Lesson 2 What ChatGPT Can & Can’t Do (Description).html
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5. Module 1 Lesson 3 Common Myths That Scare Beginners (Description).html
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6. Module 1 – Conclusion (Description).html
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3 - MODULE 2 GETTING STARTED WITH ChatGPT
10. Lesson 3 How to Ask Your First Question (Prompting Basics) (Description).html
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12. Lesson 5 Staying Safe and Responsible (Description).html
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13. Module 2 – Conclusion (Description).html
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2. Getting Started with ChatGPT (Description).html
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7. Module 2 Introduction (Description).html
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8. Module 2 Lesson 1 - What is ChatGPT (Description).html
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9. Lesson 2 Free vs Paid Version of ChatGPT (Description).html
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4 - MODULE 3 PROMPTING MADE EASY
14. Module 3 Introduction (Description).html
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15. Lesson 1 The Beginner Prompting Formula (Description).html
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16. Lesson 2 Refining Prompts for Better Results (Description).html
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17. Lesson 3 Advanced Prompting Techniques (Description).html
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18. Lesson 4 Avoiding Common Prompting Mistakes (Description).html
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19. Lesson 5 Practical Prompting Exercises (Description).html
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1 - Course Overview
2 - Section 2 Cybersecurity Introduction
1. Section 2 Quiz (Description).html
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9. Hands-on Attack Scenario Introduction (Description).html
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3 - Section 3 The I T Fundamentals
2. Section 3 Quiz (Description).html
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4 - Section 4 Cyber Attacks
3. Section 4 Quiz (Description).html
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31. Hands-on Attack Scenario The Attack - Gathering Passwords (Description).html
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5 - Section 5 Cyber Defenses
4. Section 5 Quiz (Description).html
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6 matching files, 99 total files.
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1 - Course Introduction
1 - Welcome! (Description).html
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1.6 KB
2 - Setup & Resources (Description).html
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2 - What It Means For a Machine to Learn
4 - What Learning Means in Machine Learning (Description).html
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5 - Datasets Features, Targets, and Rows (Description).html
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2.7 KB
6 - Train vs. Test Why We Split Data (Description).html
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3 - Linear Regression Learning From Error
11 - Overfitting and Underfitting (Description).html
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8 - Linear Regression Predicting Numbers (Description).html
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9 - Loss Functions Measuring Error (Description).html
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4 - Logistic Regression Probabilities and Decisions
12 - Logistic Regression Predicting Classes (Description).html
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13 - Probabilities and Decision Thresholds (Description).html
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14 - Confusion Matrices and Classification Metrics (Description).html
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5 - k-Nearest Neighbors Learning By Similarity
16 - k-Nearest Neighbors Distance-Based Learning (Description).html
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2 KB
18 - Feature Scaling and Why It Matters (Description).html
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6 - Decision Trees Learning Rules
20 - Decision Trees Learning Rules (Description).html
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21 - Tree Depth and Model Complexity (Description).html
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23 - Cross-Validation Testing Model Stability (Description).html
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7 - Random Forests Learning With Many Models
25 - Random Forests Learning With Many Models (Description).html
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27 - Bias Vs. Variance (Description).html
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18 matching files, 60 total files.
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1 - Course Introduction
1. Digital Product Passport (Description).html
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2. How the DPP Problem Unfolds (Description).html
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10 - Module 9 — Data Security
54. Tiered Access Model (Description).html
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55. Confidential Business Information & Security (Description).html
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56. Data Lifecycle and Retention (Description).html
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11 - Module 10 — Case Studies
57. Battery Pass Consortium (Germany) (Description).html
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58. Catena-X Automotive Data Ecosystem (Description).html
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59. CIRPASS and CIRPASS-2 Pilots (Description).html
HTML
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60. Aura Blockchain Consortium (Luxury) (Description).html
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61. Fashion Industry Early Adopters (Description).html
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62. Industrial and Cross-Sector Examples (Description).html
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63. Lessons Across All Case Studies (Description).html
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12 - Module 11 — Costs & ROI
64. Implementation Costs (Description).html
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65. Key Implementation Challenges (Description).html
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66. ROI and Strategic Value (Description).html
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67. How Firms Keep DPP Costs Under Control (Description).html
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13 - Module 12 — Global Context
68. Global DPP Landscape (Description).html
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69. Cross-Border Interoperability (Description).html
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70. Future Evolution (Description).html
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71. Strategic Recommendations (Description).html
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20 matching files shown out of 74 matching files, 224 total files.
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1 - Introduction
1. Welcome to the Course (Description).html
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2. Course Requirements (Description).html
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2 matching files, 52 total files.
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1 - Introduction to Electricity & Safety
10 - Applications, Careers & Course Recap
28. Real-World Applications (Description).html
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29. Career Opportunities (Description).html
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30. Course Recap (Description).html
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2 - Basic Electrical Concepts
4. Voltage, Current, Resistance (Description).html
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1.1 KB
5. Ohm’s Law (Description).html
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1 KB
6. Power & Energy (Description).html
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3 - Electrical Components
7. Conductors & Insulators (Description).html
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1 KB
8. Basic Components (Resistor, Battery, Switch) (Description).html
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9. Symbols & Circuit Diagrams (Description).html
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4 - Types of Circuits
10. Series Circuits (Description).html
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11. Parallel Circuits (Description).html
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12. Circuit Comparison (Description).html
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5 - Measuring Instruments
13. Multimeter Basics (Description).html
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14. Measuring Voltage & Current (Description).html
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15. Measuring Resistance (Description).html
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6 - Electrical Tools & Wiring Basics
16. Tools (pliers, screwdrivers) (Description).html
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17. Wiring Basics (Description).html
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18. Cable Types (Description).html
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7 - Electrical Safety Systems
19. Fuses (Description).html
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20. Circuit Breakers (Description).html
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1 - Part 1 Course Introduction & SQL Interview Preparation Overview (Description).html
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1 - Welcome to the Project Management Course !
2 - Introduction to this course (Description).html
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10 - The Human Side of Project Management
11 - Your PM Career What Comes Next
2 - Project Mangament Foundamentals
3 - Project Initiation
4 - Project Planning - Core Frameworks
5 - Planning a Waterfall Project
6 - Planning an Agile Project
23 - Introduction to Planning Phase - Agile (Description).html
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2 matching files, 120 total files.
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1 - Introduction
1. Course Kickoff — From Hopeful Prompts to AI-Assisted Software Engineering (Description).html
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2 - Getting Started — Tools & Setup
3 - Foundation — LLM Basics
4 - Development Process
5 - Requirements
6 - Design
7 - Planning
8 - Implementation
9 - Course Conclusion
33. Course Conclusion — From Naive Prompts to Structured AI Collaboration (Description).html
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1 - Course Introduction
1. Introduction to the Course (Description).html
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716 B
2. Setting Up The Excel Sheet (Description).html
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3. The Case Chooser (Description).html
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4. Incorporating Case Functionality (Description).html
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2 - Operating Assumptions
5. Revenue Assumptions (Description).html
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6. COGS Assumptions (Description).html
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7. Operating Expense Assumptions (Description).html
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8. Other Assumptions (Description).html
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3 - The First Statement - P&L
10. Modeling to Gross Profit (Description).html
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11. Modeling to EBITDA (Description).html
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12. Modeling the Rest of the P&L (Description).html
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9. Modeling Revenue (Description).html
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4 - The Second Statement - Cash Flow Statement
13. Cash Flow from Operations, Investing & Financing (Description).html
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14. Net Cash Flow (Description).html
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5 - The Third Statement - Balance Sheet
15. Assets, Liabilities & Equity (Description).html
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16. Supporting Schedules - Debt (Description).html
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17. Supporting Schedules - Interest Calculations (Description).html
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18. Supporting Schedules - Net Working Capital (Description).html
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19. Supporting Schedules - PP&E, Share Capital & Retained Earnings (Description).html
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6 - Final Model Check & Troubleshooting
1. Model Troubleshooting (Description).html
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00 Introduction
1 - How to Efficiently Conduct Your Research
2 - Understanding How a Research Paper is Written
3 - How to Write Each Section of Your Paper
4 - Course Summary
32. Final Course Review (Description).html
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1 - Welcome to the Course!!
1 - Course Introduction and Overview (Description).html
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1 - AI Simplified for Everyone - Introduction
1. Introduction & Course Contents (Description).html
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10 - Course wrap-up & AI Journey ahead
23. Course Wrap-up & AI Journey Ahead (Description).html
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2 - AI Terminology & Concepts
1. AI Terminology & Concepts (Description).html
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2. AI Fundamentals (Description).html
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3. Machine Learning (Description).html
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4. Deep Learning (Description).html
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5. Generative AI (Description).html
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3 - AI Lifecycle
2. AI Lifecycle (Description).html
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6. AI Lifecycle Overview (Description).html
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7. AI Lifecycle in Detail (Description).html
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4 - AI Hands-on – Conversational AI
10. Demo – Building a Chatbot (Description).html
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11. Recap (Description).html
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3. AI Hands-on – Conversational AI (Description).html
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8. Problem & Solution (Description).html
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9. Amazon Lex (Description).html
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5 - Prompt Engineering
12. What is a Prompt (Description).html
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13. Prompt Engineering (Description).html
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14. Prompt Engineering Techniques (Description).html
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4. Prompt Engineering (Description).html
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6 - Generative AI
15. What is Generative AI (Description).html
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1.2 KB
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1 - CCA-F PREPARATION Course & Exam Orientation
2 - CCA-F PREPARATION Course Project & API Foundations
9 - Introduction - You Can Build on the Claude API (Description).html
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3 - CCA-F PREPARATION Domain 4. Prompt Engineering & Evaluation (Part 1, 20%)
18 - Introduction - You Can Engineer Prompts That Work (Description).html
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4 - CCA-F PREPARATION Domain 4. Structured Output & Extraction (Part 2, 20%)
26 - Introduction - You Can Get Structured Output Every Time (Description).html
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5 - CCA-F PREPARATION Domain 2. Tool Design & MCP Integration (18%)
35 - Introduction - You Can Design Tools Claude Never Misuses (Description).html
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1. Course Introduction (Description).html
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5.3 KB
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1 - Introduction
2 - Understand Why Deals Go Silent and What This Course Will Fix (Description).html
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1 - Introduction
1. Course Introduction - Project Overview - Service Booking App (Description).html
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1 - Introduction
1. Course Overview (Description).html
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1 - Course Introduction
1 - Introduction (Description).html
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2 - What will you learn (Description).html
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3 - Course outline (Description).html
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4 - Pre-requisites of PEE course (Description).html
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5 - How to maximise your learning (Description).html
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2 - The P.E.E (Point, Evidence, Explanation) Technique
10 - Understanding 'Explanation' (Description).html
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11 - Practise Activity (Description).html
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12 - The Strong Opening (Description).html
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13 - The Zoom-In Technique (Description).html
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14 - Understanding Connotations (Description).html
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15 - Spotting Writer's Techniques (Description).html
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16 - Practise Activity (Description).html
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17 - Put Your Learning into Practice (Description).html
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6 - Getting started (Description).html
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7 - Understanding the P.E.E. technique (Description).html
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8 - What is the 'Point' (Description).html
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9 - Understanding 'Evidence' (Description).html
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3 - From Basic to Brilliant
18 - Writing Full High-Scoring Paragraph (Description).html
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19 - The Perfect Paragraph Formula (Description).html
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20 - RAFT Mini Activity (Description).html
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20 matching files shown out of 26 matching files, 55 total files.
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1 - Introduction
1. Welcome & What to Expect from This Course (Description).html
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1 - Introduction The Legal Architecture AI Warfare Is Breaking
1. Welcome to the Course (Description).html
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1 - AI for Work - The Core Foundations
2 - AI Use Cases for Work
3 - Introduction to Agentic AI
4 - Risks, Limitations, and Responsible Use of AI
29. Course Ending (Description).html
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1 - The Introduction
2. What You'll Learn on the Course (Description).html
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1 - Introduction
2 - Lesson 1 - Your Origin Story
3 - Lesson 2 - Your Values Story
4 - Lesson 3 - Your Reviews Video
5 - Lesson 4 - Editing & Posting Your Videos
6 - Course Summary - Your Next Steps
6. Course Summary - Your Next Steps (Description).html
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1 - What Does the Course Cover
2 - Working Capital Management
images
3 - Capital Budgeting
images
4 - Cost of Capital
images
5 - Capital Budgeting Practical Example (Bonus)
6 - Measures of Leverage
images
7 - Corporate Governance and ESG An Introduction
88. Practice Questions (Answers with explanations) (Description).html
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8 - Bonus-How to use a financial calculator
9 - Formula Sheet
96. Formula sheet (Description).html
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1 - Introduction
1. Introduction to the Course (Description).html
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716 B
10 - Sets and KPIs
11 - Course Conclusion
58. Course Conclusion (Description).html
HTML
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2 - Power Pivot and the Data Model
4. Overview of Excel Power Pivot (Description).html
HTML
716 B
7. Loading Data into the Data Model (Description).html
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8. Browse, Filter and Sort (Description).html
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9. Practical Activity - Load Data (Description).html
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3 - Power Pivot and Pivot Tables
12. Creating Pivot Tables (Description).html
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13. Methods of Aggregation (Description).html
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14. Slicers and Filtering Data with Pivot Tables (Description).html
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15. Two Pivot Table and Chart (Description).html
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16. Practical Activity - Create Pivot Tables (Description).html
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4 - Calculated Columns
18. Introduction to Calculated Columns (Description).html
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19. Creating a Calculated Column (Description).html
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20. Year Month Day (Description).html
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22. Formatting Month and Week Day Names (Description).html
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23. Practical Activity - Calculated Columns (Description).html
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24. Creating a Date Table (Description).html
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25. IF Function (Description).html
HTML
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5 - Measures in the Data Model
27. Introduction to Measures (Description).html
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29. Aggregations (Description).html
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1 - Introduction
1. Contents of the Course (Description).html
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1 - Introduction
6. Course Feedback & Suggestions (Description).html
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1 - Introduction
2 - 10 Outdoor Indoor Flashcard Games
3 - The End
12 - Course Summary & Key Takeaways (Description).html
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1 - Course Introduction
1. Introduction (Description).html
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10 - Llama & Open-Source LLMs Build AI Locally
25. Introduction to Llama Meta’s Open-Source LLM Explained (Description).html
HTML
1.7 KB
26. Llama Use Cases Build Local AI Apps & Private Assistants (Description).html
HTML
1.7 KB
11 - Mistral AI Build Real-World AI Applications
27. Introduction to Mistral AI Open-Weight Models & Capabilities (Description).html
HTML
1.7 KB
28. Prompting Mistral AI with Python Build Smart AI Workflows with Python (Description).html
HTML
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29. Text Classification with Mistral AI Build NLP Models with Python (Description).html
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30. Semantic Analysis with Mistral AI Understanding Text Meaning with Python (Description).html
HTML
1.7 KB
12 - DeepSeek AI Advanced Reasoning & Real-World Applications
31. Introduction to DeepSeek AI Models, Capabilities & Use Cases (Description).html
HTML
1.7 KB
13 - Course Closure
32. Closure (Description).html
HTML
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2 - Tokens, Embeddings & Context Windows How LLMs Understand Data
2. What is Tokens in Generative AI (Description).html
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3. What is Embedding in Generative AI (Description).html
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4. What is Context Window and how all 3 fits together (Description).html
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5. Prompt Engineering for AI Techniques, Patterns & Best Practices (Description).html
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3 - RAG & Vector Databases Build AI with External Knowledge
6. What is RAG (Description).html
HTML
2.1 KB
7. Vector Database Explained (Description).html
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2.1 KB
4 - Core Principles of Generative AI Context, Grounding & Safety
10. How GenAI fall under AI and ML (Description).html
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11. What is AI Safety (Description).html
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8. Context Engineering Optimizing Inputs for Smarter LLM Outputs (Description).html
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9. What is Context Grounding (Description).html
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5 - Introduction to AI Agents Concepts & Chatbots vs Agents
12. AI Agents vs Chatbots Key Differences Explained (Description).html
HTML
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1 - Introduction
1. Welcome & Course Mindset (Description).html
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1 - Introduction
1. What will you learn from the course (Description).html
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1 - Introduction Course Scope
1. Introduction (Description).html
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10 - Final Checklist Wrap-Up
10. Overview of applying schema markup for Search Engines and AI plus final summary (Description).html
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2 - Website Planning Structure
2. Website Structure (Description).html
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3 - WordPress Admin Dashboard
4 - Building Core Pages
5 - SEO Fundamentals
1. SEO Fundamentals (Description).html
HTML
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6 - SEO Strategy and Keyword Research Tools
7 - On-Page SEO Vs Off-Page SEO and Affiliate Links
8 - SEO Strategies Part 2 - Affiliate and Ecommerce Websites
9 - News Websites or Magazine Websites
9. Managing a News Website and thinking on Optimization and Monetization (Description).html
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1 - Introduction
1 - Course Objectives (Description).html
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2 - Who is this course for (Description).html
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1 - Course introduction
2 - First steps
1. Quiz (Description).html
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3. Greetings and First Phrases (Description).html
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4. Pronunciation Practice (Description).html
HTML
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5. The Alphabet (Description).html
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6. Numbers (Description).html
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7. How to tell the time (Description).html
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3 - Vocabulary
10. Professions and Nationalities (Description).html
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12. Personal Pronouns (Description).html
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2. Quiz (Description).html
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8. Introducing yourself and others (Description).html
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9. The gender (Description).html
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4 - Verbs
13. Regular verbs in the present tense (Description).html
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14. The article (Description).html
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15. Gustar Verb (Description).html
HTML
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16. The family (Description).html
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5 - Vocabulary 2 and other verbs
17. The days and months (Description).html
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18. The weather (Description).html
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19. Reflexive Verbs (Description).html
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20. Daily routine (Description).html
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4. Quiz (Description).html
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1 - Introduction to ChatGPT Ads
1. Introduction to the Course (Description).html
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2. About this course (Description).html
HTML
716 B
2 - Getting Started with ChatGPT
3 - Ethical AI and Responsible Use
4 - Advanced Prompt Engineering Tactics
5 - Conclusions
21. Course Summary (Description).html
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1 - Course Introduction
1. Course Overview & Learning Objectives (Description).html
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2. Real-World Applications of Python in Data (Description).html
HTML
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2 - Python Basics
3. Understanding Variables and Core Data Types (Description).html
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4. Working with Arithmetic Operators (Description).html
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5. Mastering Logical Operators (Description).html
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3 - Working with Data Structures
6. Introduction to Python Lists (Description).html
HTML
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7. Managing Data with Tuples (Description).html
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8. Utilizing Sets in Python (Description).html
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9. Structuring Data with Dictionaries (Description).html
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4 - Control Structures in Python
10. Using If Statements for Conditional Logic (Description).html
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11. Iterating Data with For Loops (Description).html
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12. While Loops and Loop Control Statements (Description).html
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5 - Data Analysis with Python
13. The Data Analyst's Workflow in Python (Description).html
HTML
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14. Fundamentals of Data Manipulation (Description).html
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15. Importing Datasets with Pandas (Description).html
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16. Exploring and Profiling Your Data (Description).html
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17. Data Slicing Selecting Rows and Columns (Description).html
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18. Filtering and Sorting Datasets (Description).html
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19. Data Cleaning and Preprocessing Techniques (Description).html
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20. Feature Engineering Creating New Columns (Description).html
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1 - Introduction & History of Wireless Power
10 - Course Project
11 - Who we are
12 - Course Wrap-Up
2 - Working Principle
3 - Why We need wireless electricity
4 - Range and Safety
5 - Wireless Powered PIC Microcontroller Project
6 - Circuit Diagram
7 - Code
8 - How does This Circuit Work
9 - Practice Test
1. PIC Microcontroller Wireless Power Transmission Test (Description).html
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1 - Course Orientation & Responsible Use
1 - Introduction (Description).html
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1 - Introduction
2 - Copilot to analyze company profit data by month, customers, and products
2. Pareto charts This section has the Excel and Powerpoint material for the course (Description).html
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1 - Introduction
10 - 2026 Strategic Drivers
2 - About this Course
3 - The UN Charter and Territorial Integrity
4 - 2025 EU US trade deal
5 - The NATO Article 5 Dilemma
6 - What US Greenland Agreements Say
7 - The Rights of Greenlandic People
8 - Proposed Bills in US Congress
9. Proposed Bills in US Congress (Description).html
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