We may earn an affiliate commission when you visit our partners.
Course image
Varad V

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.

Read more

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.

Enroll now

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

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
Read more
Demo
Students will learn about how Generative AI differs from traditional AI, and learn about concepts like LLM, Transformers, Fine Tuning, RAG and many others
Concepts, terminology and how LLMs work
Students will learn about when LLMs would work and not work. They will be exposed to topics like knowledge cutoff, bias, toxicity and look at methods to get around these issues.
Customizing LLMs for your use case
Limitations of LLMs and workarounds
Students will learn about how to prepare for a world with Generative AI, what jobs will disappear and what jobs will be created.
The future, jobs and certifications
Students will learn about the concerns of Rogue AI, how to build safeguards and build responsible AI systems
Building safeguards
Bonus lecture

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops understanding of Generative Artificial Intelligence, which is a promising advancement in technology
Introduces concepts, terminologies, and functions of LLMs, which are important in the field of Generative Artificial Intelligence
Taught by an experienced instructor who possesses expertise in solution architecture for AWS, AI, ML, and Generative Artificial Intelligence
Covers ethical considerations and responsible use of AI, addressing important aspects of deploying and utilizing AI systems
Provides a comprehensive overview of Generative Artificial Intelligence, from its concepts to use cases, and covers potential jobs and certifications
Taught by an experienced instructor who possesses expertise in solution architecture for AWS, AI, ML, and Generative Artificial Intelligence

Save this course

Save Introduction to Generative AI and LLMs to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Generative AI and LLMs with these activities:
Review of Machine Learning Basics
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
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
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
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
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
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.
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.

Career center

Learners who complete Introduction to Generative AI and LLMs will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Introduction to Generative AI and LLMs.
Ethics & Generative AI (GenAI)
Most relevant
Developing Generative AI Applications with Python and...
Most relevant
LLMs Mastery: Complete Guide to Transformers & Generative...
Most relevant
Generative AI: Introduction and Applications
Most relevant
Introduction to Generative AI
Most relevant
Introduction to Prompt Engineering
Most relevant
ChatGPT and Generative AI: The Big Picture
Most relevant
Generative AI and LLMs: Architecture and Data Preparation
Most relevant
Generative AI with Large Language Models
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser