Name: Grokking Modern AI Fundamentals
Price: 78 USD
Rating: 3.9 (203 reviews)

Grokking Modern AI Fundamentals

Master the fundamentals of AI today to lead the tech revolution of tomorrow.

Level:

Beginner

Study Time:

Lessons:

Playgrounds :

3.9

(203 ratings)

1,107 learners

Course Overview

Welcome to Grokking Modern AI Fundamentals—your gateway to mastering the power of AI. In this course, we will uncover how artificial intelligence is transforming everything from image recognition to language translation, all while building a solid understanding of how models learn and work. Whether you are new to AI or looking to sharpen your skills, you'll gain clear, practical insights that bridge theory with hands-on experience.

Prepare to dive into engaging coding demos, interactive quizzes, and real-world challenges that not only teach you to build and train AI models but also highlight the ethical considerations shaping the future of technology. This course is your chance to ignite your passion, equip yourself with essential skills, and confidently step into the rapidly evolving world of AI.

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Course Content

• 11 Chapters • 35 Lessons

Chapter 1: Introduction

4 lessons

1.1 Course Overview

1.2 Who This Course Is For

1.3 Introduction to the World of AI

1.4 Understanding AI at a Glance

Chapter 2: Core Concepts in AI

4 lessons

2.1 What Is Intelligence (Artificial vs. Human)?

2.2 The AI Family Tree

2.3 How AI Models “Learn”

2.4 Quiz

Chapter 3: Foundations for AI

2 lessons

3.1 Math Essentials for AI

3.2 Python Basics for AI

Chapter 4: Building and Training a Simple Machine Learning Model

2 lessons

4.1 Supervised Learning Walkthrough

4.2 Evaluating and Tuning Models

Chapter 5: Understanding Neural Networks and Deep Learning

3 lessons

5.1 Neural Networks

5.2 Practical Deep Learning Tips

5.3 Quiz

Chapter 6: The Modern AI Revolution

4 lessons

6.1 Large Language Models (LLMs) & GPT

6.2 Generative Models Beyond Text

6.3 Agentic AI & Autonomous Systems

6.4 Quiz

Chapter 7: Modern AI Tools and Prompting Techniques

3 lessons

7.1 Exploring AI Tools & Demos

7.2 Prompting Techniques

7.3 Common Pitfalls to Avoid When Working with AI

Chapter 8: Ethical, Social, and Regulatory Considerations

3 lessons

8.1 Bias & Fairness

8.2 Privacy & Security

8.3 Regulation & Governance

Chapter 9: Breaking Down the AI Hype Cycle

3 lessons

9.1 Common Myths & Misconceptions

9.2 Balancing Excitement with Real-World Constraints

9.3 Staying Informed

10.

Chapter 10: Brainstorming Activities

2 lessons

10.1 Comparing AI vs. Human-generated Text

10.2 Spotting AI-Generated Visuals

11.

Chapter 11: AI’s Future & Emerging Trends

5 lessons

11.1 Next-Gen LLMs & Generative Models

11.2 Agentic AI Maturity

11.3 AI & Other Tech Convergence

11.4 Future of Work

11.5 Final Thoughts

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