No-Code Generative AI for Business Professionals

سرفصل های دوره

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.

01 - Introduction

01 - Building generative AI with no code

02 - 1. Generative AI (GenAI) Foundations

01 - Business applications with GenAI

02 - Understanding capabilities of GenAI

03 - 2. Building Products with GenAI

01 - Build GenAI products using the 1-2-3 framework

02 - Understanding pre-training, fine-tuning, and inference models

03 - Demo Chat with your data with GPT using Akkio

04 - Challenge Chat with a dataset using GPT with no code

05 - Solution Chat with a dataset using GPT with no code

04 - 3. AI Assistant for Enterprise Summarization

01 - What are foundational GenAI models

02 - Fine-tuning and retrieval augmented generation (RAG)

03 - Demo Build an AI assistant for text summarization or query a book with h2oGPT

04 - Demo Summarize a video meeting using Gemini

05 - Challenge Summarize a customer meeting video with an AI assistant

06 - Solution Summarize a customer meeting video with an AI assistant

05 - 4. AI Agents with AgentGPT

01 - What is an AI agent

02 - Demo Build an AI agent using AgentGPT

03 - Challenge Build an AI agent to research your industry

04 - Solution Build an AI agent to research your industry

06 - 5. Business Considerations

01 - Understanding the token costs of generative AI

02 - Selecting GenAI models Open-source vs. closed platforms

03 - Hallucinations and ethical considerations for GenAI

04 - Choosing between fine-tuning vs. RAG

07 - Conclusion

01 - Closing out and next steps

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تولید کننده: LinkedIn Learning (Lynda)