Course curriculum

    1. Lesson 1: Generative AI is a tool in service of humanity

    2. Lesson 2: The importance of generative AI

    3. Lesson 3: How generative AI is different than other types of AI

    4. Lesson 4: How generative AI works

    5. Lesson 5: Creating your own content

    6. Lesson 6: The most famous tools for Generative AI

    7. Lesson 7: Natural language models

    8. Lesson 8: Text to image applications

    9. Lesson 9: Generative Adversarial Networks (GANs)

    10. Lesson 10: VAE and Anomaly Detection

    11. Lesson 11: Future predictions

    12. Lesson 12: Moral and executive skill set required to work with GenAI

    13. Lesson 13: Caution when working with Gen AI

    14. Lesson 14: Next steps

    1. Lesson 1: How finding and sharing information online has evolved

    2. Lesson 2: How a search engine works

    3. Lesson 3: How a reasoning engine works

    4. Lesson 4: Comparing search engines with reasoning engines

    5. Lesson 5: What is the future of online search

    6. Lesson 6: Harness the power of prompt engineering

    7. Lesson 7: Thoughtful search strategies and approaches.mp4

    8. Lesson 8: Next steps

    1. Lesson 1: Put your fingers to work- Chatting as a productivity tool

    2. Lesson 2: Understand how chat AI works

    3. Lesson 3: Get access to Microsoft Bing Chat

    4. Lesson 4: Get your questions answered with chat AI

    5. Lesson 5: Summarize data with chat AI

    6. Lesson 6: Leverage chat AI to compose text

    7. Lesson 7: Know where chat AI data is coming from

    8. Lesson 8: Solve a variety of problems with chat AI.mp4

    9. Lesson 9: Stay up-to-date with what AI can do for you

    1. Lesson 1: Generative AI and Ethics - the Urgency of Now.mp4

    2. Lesson 2: Distinguishing responsible tech from human behavior

    3. Lesson 3: Understanding Vilas' ethical AI framework

    4. Lesson 4: Applying Vilas' framework in a real world situation

    5. Lesson 5: Organizing data with ethics in mind

    6. Lesson 6: Preparing technology teams to make ethical decisions

    7. Lesson 7: Preparing C-Suite in directing responsible AI

    8. Lesson 8: Preparing the Board of Directors to manage risk and opportunity in AI

    9. Lesson 9: Consulting your customers in building AI

    10. Lesson 10: Communicating effectively organizationally and globally

    11. Lesson 11: Setting an intention of continual questioning

    1. Lesson 1: Why you need to know about artificial intelligence

    2. Lesson 2: Define general intelligence

    3. Lesson 3: The general problem-solver

    4. Lesson 4: Strong vs. weak AI

    5. Lesson 5: Machine learning

    6. Lesson 6: Artificial neural networks

    7. Lesson 7: Searching for patterns in data

    8. Lesson 8: Robotics

    9. Lesson 9: Natural language processing

    10. Lesson 10: The Internet of Things

    11. Lesson 11: Labeled and unlabeled data

    12. Lesson 12: Massive datasets

    13. Lesson 13: Classify data

    14. Lesson 14: Cluster data

    15. Lesson 15: Reinforcement learning

    16. Lesson 16: Common algorithms

    17. Lesson 17: K-nearest neighbor

    18. Lesson 18: K-means clustering

    19. Lesson 19: Regression

    20. Lesson 20: Naive Bayes

    21. Lesson 21: Select the best algorithm

    22. Lesson 22: Follow the data

    23. Lesson 23: Overfitting and underfitting

    24. Lesson 24: Build a neural network

    25. Lesson 25: Weighing the connections

    26. Lesson 26: The activation bias

    27. Lesson 27: Learning from mistakes

    28. Lesson 28: Step through the network.mp4

    29. Lesson 29: Using AI systems

    30. Lesson 30: Applying AI to solve problems

    1. Assessment

About this course

  • Free
  • 73 lessons
  • 3.5 hours of video content

Learn the core concepts of Artificial Intelligence and generative AI.

This course covers available generative AI tools, their impacts, and ethical considerations. Gain skills in understanding AI models, ethical usage, the impact of AI tools, and basics of Microsoft 365 Copilot.

Enroll today