Power Your Business with Artificial Intelligence

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to this Course

Lecture 2: About Your Instructor

Chapter 2: The Phenominal Shift from Programming to Machine Learning

Lecture 1: Introducing the differences between computer programming and machine learning

Lecture 2: Traditional Programming

Lecture 3: Machine Learning

Lecture 4: Hands On Experience With Machine Learning

Lecture 5: Review and Key Takeaways

Lecture 6: Conclusion

Chapter 3: Unstoppable forces which are driving the advances in artificial intelligence

Lecture 1: Introduction

Lecture 2: Data

Lecture 3: Computer Power

Lecture 4: Algorithms

Lecture 5: The Value of Information

Lecture 6: Conclusion

Chapter 4: Differences Between Artificial Intelligence and Human Intelligence

Lecture 1: Introduction

Lecture 2: Speed

Lecture 3: Scalability

Lecture 4: Individualism

Lecture 5: Characteristic Differences Between Human and Artificial Intelligence

Lecture 6: Current Limitations of Artificial Intelligence

Lecture 7: Conclusion

Chapter 5: Example Applications of Artificial Intelligence Technologies

Lecture 1: Introduction

Lecture 2: Image Processing and Object Recognition

Lecture 3: Video Processing and Intelligence

Lecture 4: Natural Language Processing

Lecture 5: Classification

Lecture 6: Predictive Analytics

Lecture 7: Time Series Predictions

Lecture 8: Reinforcement Learning

Lecture 9: Generative Artificial Intelligence

Lecture 10: The Internet Of Things

Lecture 11: Robotics

Lecture 12: Conclusion

Chapter 6: Hands On Experiments with Artificial Intelligent Systems and Technology

Lecture 1: Introduction

Lecture 2: Experiments with Images

Lecture 3: Experiments with Video

Lecture 4: Experiments with Natural Language Processing

Lecture 5: Experiments with Classification

Lecture 6: Experiments with Time Series Prediction

Lecture 7: Experiments with Reinforcement Learning

Lecture 8: Experiments with Generative Artificial Intelligence

Lecture 9: Experiments with The Internet Of Things

Lecture 10: Experiments In Robotics

Lecture 11: Experiments with Predictive Analytics – Create an Email Account

Lecture 12: Experiments With Predictive Analytics – Create a Trailhead Account

Lecture 13: Experiments with Predictive Analytics – Example Walk-through

Lecture 14: Experiments with Predictive Analytics – Importing Data

Lecture 15: Experiments With Predictive Analytics – Data Analysis

Lecture 16: Conclusion

Chapter 7: Documenting and Evaluating your Ideas

Lecture 1: Introduction

Lecture 2: Using a Framework for Documenting and Evaluating your AI Applications

Lecture 3: How to obtain data for your idea

Lecture 4: Bringing Your Idea to Life

Lecture 5: Conclusion