No-Code Generative AI for Business Professionals

Course details

In this course, Sudha Jamthe—technology futurist and generative AI author—teaches you how to build generative AI products for business. Because this course does not require coding, it’s ideal to help product and business professionals explore how generative AI can help them make the best use of their data and solve the business problems impacting their roles. This course will get you started on your learning journey with generative AI apps in no-code environments.

Learning objectives
Get an overview of Generative AI, and how it differs from traditional artificial intelligence models
Learn the key concepts of fine-tuning and RAG to use your company data to build GenAI products
Learn three easy steps to build any GAI application without coding
Get a clear understanding of the capabilities of Large Language Models (LLMs)
Get a hands-on lesson to build an intelligent chatbot for a business use case
Complete an exercise to make a GPT chatbot talk to your data to generate insights without using any coding
Learn how to build and automate AI and build a smart autonomous AI agent
Learn the business considerations, such as cost from token ethical and hallucination risks, in bringing generative AI to your business

Concepts

Introduction

Building generative AI with no code

Generative AI (GenAI) Foundations

Business applications with GenAI
Understanding capabilities of GenAI

Building Products with GenAI

Build GenAI products using the 1-2-3 framework
Understanding pre-training, fine-tuning, and inference models
Demo - Chat with your data with GPT using Akkio
Challenge - Chat with a dataset using GPT with no code
Solution - Chat with a dataset using GPT with no code

AI Assistant for Enterprise Summarization

What are foundational GenAI models
Fine-tuning and retrieval augmented generation (RAG)
Demo - Build an AI assistant for text summarization or query a book with h2oGPT
Demo - Summarize a video meeting using Gemini
Challenge - Summarize a customer meeting video with an AI assistant
Solution - Summarize a customer meeting video with an AI assistant

AI Agents with AgentGPT

What is an AI agent
Demo - Build an AI agent using AgentGPT
Challenge - Build an AI agent to research your industry
Solution - Build an AI agent to research your industry

Business Considerations

Understanding the token costs of generative AI
Selecting GenAI models - Open-source vs. closed platforms
Hallucinations and ethical considerations for GenAI
Choosing between fine-tuning vs. RAG

Conclusion

Closing out and next steps