Generative AI is a breakthrough technology that has fundamentally changed the way we interact with computers. Both businesses and consumers stand to gain enormously from this technology.
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Generative AI is a breakthrough technology that has fundamentally changed the way we interact with computers. Both businesses and consumers stand to gain enormously from this technology.
Generative AI is a breakthrough technology that has fundamentally changed the way we interact with computers. Both businesses and consumers stand to gain enormously from this technology.
As students, you will gain immensely by getting your feet wet with this technology. It will open up new opportunities in your existing jobs as well as prepare you for new careers.
This course provides a gentle introduction to Generative AI. It is not a coding course.
It will benefit:
* Managers who would like to introduce Generative AI in their organizations.
* Non technical users who want to learn about this topic and curious about how it works.
* Technical users who are looking for an entry level course to jumpstart their career in Generative AI.
Taught by an ex AWS solution architect, AI / ML specialist and Generative AI champion, with many years experience in SAAS, Cloud and IT Consulting.
The course is organized as follows:
Module 1: What is Generative AI?
Module 2: Business use cases
Module 3: Concepts, terminologies and how LLMs work
Module 4: Customizing LLMs
Module 5: Limitations of LLMs and workarounds
Module 6: The future, jobs and certifications
Module 7: Building safeguards
Benefits of this course:Students will get a quick introduction to the basics of Generative AI, understand concepts and learn how LLMs work. They will be able to try out examples using ChatGPT, Stable Diffusion and other popular LLMs for their use cases. They will learn how to customize LLMs for their specific use cases using RAG, Fine Tuning and Prompt Engineering. They will learn when LLMs and Generative AI can go wrong and how to build safeguards around them.
While this course does not prepare you for any particular certification, the concepts you will learn in this course will be useful if you intend to pursue a certification at a later time.
The course does not have any exams or quizzes.
It does not have any code examples. No knowledge of coding is required or assumed.
Upon completion of this course, the student will
Gain an understanding of Generative AI
Know where it can be used
Understand how LLMs work
Learn how to use ChatGPT and other LLMs
Explore jobs and certifications
Learn about building safeguards and following best practices
Join the Generative AI revolution. Don't wait. Enroll now.
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What's inside
Learning objectives
- Understand what is generative ai
- Learn about the use cases for generative ai
- Learn the concepts and terminologies of generative ai
- Understand the limitations of llms and how to work around them
- Prepare for the future with generative ai
- Learn about ethics and responsible ai
- Understand what is generative ai
- Learn about the use cases for generative ai
- Learn the concepts and terminologies of generative ai
- Understand the limitations of llms and how to work around them
- Prepare for the future with generative ai
- Learn about ethics and responsible ai
Syllabus
Introduction
What is Generative AI?
Students will be able to understand the different business scenarios where Generative AI can be used
Business use cases
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Syllabus
Good to know
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Activities
Review of Machine Learning Basics
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Before diving into generative AI, ensure a solid foundation in machine learning. Review core concepts such as supervised and unsupervised learning, model evaluation, and feature engineering to enhance your understanding of the underlying principles.
Browse courses on
Machine Learning
Show steps
-
Go over your notes or textbooks from previous machine learning courses.
-
Take practice quizzes or solve coding challenges to test your understanding.
-
Review online resources and tutorials to refresh your memory on key concepts.
A Guided Tour of Generative AI Concepts and Tools
Show steps
Begin by getting your feet wet with basic tutorials that introduce you to the world of generative AI, its key concepts, and the various tools available to get started with it.
Show steps
-
Enroll in an online course or workshop on Generative AI.
-
Explore online documentation and resources provided by platforms offering Generative AI services.
-
Follow video tutorials and walkthroughs to understand the practical implementation of Generative AI.
Connect with Generative AI Experts
Show steps
Seek guidance and mentorship from individuals who have expertise in generative AI. Attend industry events, join online communities, or reach out directly to professionals in the field to gain valuable insights and advice.
Show steps
-
Identify potential mentors who work in the field of generative AI.
-
Reach out to them via email, LinkedIn, or other professional networking platforms.
-
Set up informational interviews to learn about their experiences and perspectives.
Three other activities
Expand to see all activities and additional details
Show all six activities
Generative AI Study Group
Show steps
Join forces with fellow students to form a study group focused on generative AI. Engage in discussions, share insights, and tackle challenges together to deepen your understanding and reinforce your learning.
Show steps
-
Find a group of classmates who share your interests in Generative AI.
-
Establish a regular meeting schedule and agenda for your study group.
-
Take turns presenting on different topics related to Generative AI.
-
Engage in discussions and debates to explore diverse perspectives.
Practice using ChatGPT and other LLMs
Show steps
Experiment and learn how to optimize your use of LLMs in this hands-on practice activity.
Browse courses on
LLMs
Show steps
-
Use ChatGPT to summarize a business idea.
-
Ask Stable Diffusion to generate an image based on a text prompt.
-
Fine-tune a LLM using RAG.
-
Try using a LLM to debug code.
Generative AI Project Showcase
Show steps
Put your newfound knowledge into practice by developing a generative AI project that addresses a real-world problem or explores a creative concept. Showcase your project to demonstrate your understanding and proficiency in applying generative AI.
Browse courses on
Generative AI Applications
Show steps
-
Identify a problem or opportunity that can be addressed using Generative AI.
-
Design and develop a generative AI solution, utilizing appropriate tools and techniques.
-
Evaluate the performance and impact of your solution.
-
Document your project and share your findings through a presentation, blog post, or GitHub repository.
Review of Machine Learning Basics
Show steps
Before diving into generative AI, ensure a solid foundation in machine learning. Review core concepts such as supervised and unsupervised learning, model evaluation, and feature engineering to enhance your understanding of the underlying principles.
Browse courses on
Machine Learning
Show steps
- Go over your notes or textbooks from previous machine learning courses.
- Take practice quizzes or solve coding challenges to test your understanding.
- Review online resources and tutorials to refresh your memory on key concepts.
A Guided Tour of Generative AI Concepts and Tools
Show steps
Begin by getting your feet wet with basic tutorials that introduce you to the world of generative AI, its key concepts, and the various tools available to get started with it.
Show steps
- Enroll in an online course or workshop on Generative AI.
- Explore online documentation and resources provided by platforms offering Generative AI services.
- Follow video tutorials and walkthroughs to understand the practical implementation of Generative AI.
Connect with Generative AI Experts
Show steps
Seek guidance and mentorship from individuals who have expertise in generative AI. Attend industry events, join online communities, or reach out directly to professionals in the field to gain valuable insights and advice.
Show steps
- Identify potential mentors who work in the field of generative AI.
- Reach out to them via email, LinkedIn, or other professional networking platforms.
- Set up informational interviews to learn about their experiences and perspectives.
Generative AI Study Group
Show steps
Join forces with fellow students to form a study group focused on generative AI. Engage in discussions, share insights, and tackle challenges together to deepen your understanding and reinforce your learning.
Show steps
- Find a group of classmates who share your interests in Generative AI.
- Establish a regular meeting schedule and agenda for your study group.
- Take turns presenting on different topics related to Generative AI.
- Engage in discussions and debates to explore diverse perspectives.
Practice using ChatGPT and other LLMs
Show steps
Experiment and learn how to optimize your use of LLMs in this hands-on practice activity.
Browse courses on
LLMs
Show steps
- Use ChatGPT to summarize a business idea.
- Ask Stable Diffusion to generate an image based on a text prompt.
- Fine-tune a LLM using RAG.
- Try using a LLM to debug code.
Generative AI Project Showcase
Show steps
Put your newfound knowledge into practice by developing a generative AI project that addresses a real-world problem or explores a creative concept. Showcase your project to demonstrate your understanding and proficiency in applying generative AI.
Browse courses on
Generative AI Applications
Show steps
- Identify a problem or opportunity that can be addressed using Generative AI.
- Design and develop a generative AI solution, utilizing appropriate tools and techniques.
- Evaluate the performance and impact of your solution.
- Document your project and share your findings through a presentation, blog post, or GitHub repository.
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