Module 1: Overview of Generative AI and Common Use Cases on Business Automation
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Installation and Setup of ChatGPT and OpenAI API
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Benefits and Potential Concerns of Using Generative AI in Business Automation
Module 2: Implementation and Prompt Engineering with GPT Model
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Introduction to GPT Model Implementation and Prompt Engineering
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Understanding the Functioning of GPT Model
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Techniques for Prompt Engineering
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Exercise on Content Creation with ChatGPT
Module 3: Fine-tuning and Embedding Techniques for GPT Model
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Introduction to Fine-tuning and Embedding Techniques
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Different Approaches for Fine-tuning the GPT Model
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Embedding Techniques for GPT Model
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Optimizing the Fine-tuning Process
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Best Practices for Fine-tuning and Embedding the GPT Model
Module 4: Business Automation Use Case Part 1 - Translation of Plain English to SQL
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Introduction to Business Automation Use Case Part 1
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Use Case One: Translation of Plain English to SQL Statement
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Performing Automatic Queries and Retrieving Results Using Translated Plain English Statements
Module 5: Business Automation Use Case Part 2 - Local Content Chatbot
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Introduction to Business Automation Use Case Part 2
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Use Case Two: Local Content Chatbot with OpenAI Solution
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Creating a Chatbot to Answer User Queries with Local Content
Module 6: Business Automation Use Case Part 3 - Recommedation Engine
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Introduction to Business Automation Use Case Part 3
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Use Case Three: Recommendation Engine with ChatGPT
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Developing a Recommendation Engine to Suggest Products based on Customer Queries and Purchase History
Note: The course outline is subject to change based on the needs and requirements of the students and the latest updates in the market.
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