Grokking Modern AI Fundamentals

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

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 ...

Course Content

• 13 Chapters • 43 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 12: AI’s Future & Emerging Trends

5 lessons

12.1 Next-Gen LLMs & Generative Models

12.2 Agentic AI Maturity

12.3 AI & Other Tech Convergence

12.4 Future of Work

12.5 Final Thoughts

12.

Chapter 7: Agentic AI – Building Autonomous Agents

4 lessons

7.1 What is Agentic AI?

7.2 How Agents Reason and Plan

7.3 Memory and Learning in Agents

7.4 Project: Build a Simple AI Agent

13.

Chapter 8: Reinforcement Learning

4 lessons

8.1 What Is Reinforcement Learning?

8.2 Agents, Environment, and Rewards

8.3 Learning Through Trial and Error

8.4 Project: Treasure Grid Game

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