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Leveraging OpenAI for Enterprise Solutions Bootcamp (Business Focused / Intermediate)
Description
Leveraging OpenAI for Enterprise Solutions Introduction
“Leveraging OpenAI for Enterprise Solutions / AI for Business Bootcamp” is a four-day immersive course designed for experienced developers, data scientists, and business intelligence professionals. This course explores the potential of OpenAI in enhancing business processes and creating AI-driven applications.
Participants will learn to apply these technologies to real-world scenarios, thereby improving organizational operations and creating new business opportunities.
Guided by industry experts, you’ll master OpenAI’s large language models (LLMs), the OpenAI API (Python flavor), and GPT-3 & 4 Prompt Engineering. Ideal for those seeking to harness OpenAI technologies for business applications.
The course also covers OpenAI Whisper’s speech recognition capabilities and the OpenAI Embedding API for document search, alongside creating user-friendly front ends for OpenAI ChatGPT and Dall-E2 Apps, and integrating voice commands and live transcription into applications.
Leveraging OpenAI for Enterprise Solutions Objectives
Upon completion, participants will:
- Understand OpenAI and its applications in the business context.
- Gain proficiency in OpenAI API and Whisper for practical tasks.
- Learn to use the OpenAI Embedding API for document searches.
- Develop skills to create industry-specific advisors using GPT embeddings.
- Stay informed about the latest trends in Generative AI.
Prerequisites
- Basic working knowledge of Python programming.
- Understanding of AI and machine learning principles.
- Familiarity with API principles and NLP concepts.
- Experience in developing, testing, and deploying software applications.
Audience
This course is tailored for:
- Experienced Developers
- Data Scientists
- Business Intelligence Professionals
Leveraging OpenAI for Enterprise Solutions Outline
Day 1
Leveraging OpenAI and LLMs for Business Overview
- Introduction to OpenAI and its large language models (LLMs)
- Understanding the business implications of LLMs
- Identifying potential use-cases in your industry
Enterprise Strength Speech Recognition (with OpenAI Whisper)
- An introduction to Whisper and its capabilities
- Implementing Whisper for speech recognition tasks
- Overcoming challenges and ensuring accuracy
OpenAI API (Python Flavor)
- Understanding the OpenAI API and how to leverage it using Python
- Coding sessions to understand API calls and responses
- Error handling and optimization techniques
OpenAI GPT-3 & 4 Prompt Engineering for Business Class NLP
- Introduction to GPT-3 & GPT-4, and understanding their functionalities
- Learning prompt engineering for business class natural language processing
- Hands-on: Building simple NLP applications using GPT-3 & 4
Day 2
Leveraging OpenAI Embedding API (Searching Massive Collections of Business and Legal Documents)
- Detailed overview of OpenAI’s Embedding API
- Strategies for efficient document search in large datasets
- Hands-on: Implementing a document search engine for business and legal documents
Build a Front End for OpenAI ChatGPT and Dall-E2 Apps
- Designing and implementing user-friendly front-ends for AI applications
- Integrating ChatGPT and Dall-E2 into business applications
- User experience considerations for AI-powered apps
Voice Commands and Live Transcription
- Understanding the technology behind voice commands and live transcription
- Implementing these features into your applications
- Ensuring accuracy and handling potential errors
Day 3
Build an Industry Specific Advisor / Consultant using GPT Embeddings
- Understanding GPT embeddings and their use-cases
- Developing an industry-specific advisor or consultant using GPT embeddings
- Strategies for customization and optimization
AI in Your World: Reserved for Additional Topics and Q&A
- An open session for discussing additional topics of interest
- Interactive Q&A to address any queries or challenges encountered
Voice Cloning with GPT Embeddings
- Introduction to voice cloning technology
- Using GPT embeddings for voice cloning
- Ethical considerations and potential business applications
Day 4
Build a GPT model with Private Business Data
- Strategies for training GPT models with private data
- Ensuring data privacy and security
- Hands-on: Building a GPT model using business-specific data
End to End GPT App with Private Business Data
- Combining the skills learned to develop an end-to-end GPT application
- Deploying and maintaining your application
- Potential challenges and troubleshooting tips
$2695.00
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4 Days Course |