
Explore how traditional ai differs from gen ai, introduce foundation models, pre-training, fine tuning, and the transformer-based structures that enable llms and text generation.
Explore AWS PartyRock to build AI and machine learning apps and prototypes, log in to access sample apps across categories like Learning and Education, and test a Python learning companion.
Explains the limitations of llms such as knowledge cutoff, hallucinations, and biases, and outlines workarounds like reinforcement learning from human feedback and human-in-the-loop evaluation.
Clarify common misconceptions about LLMs and data usage, and summarize token-based pricing, privacy through local deployment, and how hallucination arises in non-deterministic outputs.
Explore generative AI platforms, apps, and use cases from content creation and coding to multi-modal tasks and AI agents, enabling smarter, scalable business solutions.
Learn to run LLMs locally on your laptop with Olama, download LLAMA2, and view training-based responses including quantum computing knowledge.
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.
PLEASE NOTE THIS IS NOT A PROGRAMMING COURSE.
IF YOU ARE INTERESTED IN LEARNING TO PROGRAM IN GENERATIVE AI, CHATGPT OR LLMs, PLEASE LOOK AT OTHER COURSES ON THIS TOPIC
This course 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.
It is taught by Chief Architect / CTO who is an AI / ML specialist and Generative AI enthusiast, 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
Module 8: Generative AI Apps, Platforms and Use Cases
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. And last but not the least, they will get a sneak preview of Agentic AI.
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 has a few simple quizzes to test your understanding of the material.
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
Learn about Generative AI apps, platforms and use cases, including Agentic AI.
Join the Generative AI revolution. Don't wait. Enroll now!