Welcome to the Leveraging OpenAI for Enterprise Solutions / AI for Business Boot Camp, a four-day immersive course that explores the exciting opportunities OpenAI provides for improving business processes and creating innovative, AI-driven applications. Throughout the course, you'll learn to directly apply these new technologies to real-world situations, improving your organization's operations and creating new business opportunities. From enhancing customer service with automated voice commands to developing AI-driven applications, you'll acquire a set of powerful, versatile tools that have immediate, practical implications. Throughout the course, guided by our engaging AI expert instructor, you'll gain mastery over OpenAI's large language models (LLMs), the OpenAI API (Python flavor), and GPT-3 & 4 Prompt Engineering for Business Class NLP.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

Working in an interactive learning environment, led by our engaging AI expert you’ll:
Develop a robust understanding of OpenAI and its large language models (LLMs), along with their potential implications and applications within the business landscape.
Gain proficiency in the OpenAI API (Python flavor) to harness its capabilities effectively and efficiently for real-world tasks and projects.
Master Enterprise Strength Speech Recognition with OpenAI Whisper, learning how to integrate this powerful tool into business processes and overcome any associated challenges.
Learn to utilize the OpenAI Embedding API for effective searching within massive collections of business and legal
documents, enhancing efficiency and productivity.
Understand and implement the design and creation of user-friendly front-ends for AI applications, such as OpenAI
ChatGPT and Dall-E2 Apps, focusing on user experience and integration.
Acquire the skills to build an industry-specific advisor or consultant using GPT embeddings, customizing and optimizing this tool to suit your organization's specific needs and challenges.

1

  • 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

2

  • 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

3

  • 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

4

  • 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

5

  • 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

6

  • 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

7

  • 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

8

  • 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

9

  • 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

10

  • VOICE CLONING WITH GPT EMBEDDINGS

  • Introduction to voice cloning technology

    Using GPT embeddings for voice cloning

    Ethical considerations and potential business

    applications

11

  • BUILD A GPT MODEL WITH PRIVATE BUSINESS DATA

  • Strategies for training GPT models with private data

    Ensuring data privacy and security

12

  • 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

Audience

This intermediate and beyond level course is designed for experienced developers, data scientists, and business intelligence professionals looking to leverage OpenAI technologies for business applications.

Language

English

Prerequisites

This course is highly technical in nature. In order to gain the most from attending you should possess the following incoming skills: Basic working knowledge of Python programming, including data structures, control flow, and functions. Python programming experience (Python syntax and constructs, experience with NumPy and Pandas) Basic understanding of artificial intelligence and machine learning principles Understanding the basic principles of APIs, including how to make API calls and handle responses, is essential as the course includes hands-on sessions with the OpenAI API. Given that the course involves working with large language models (LLMs) and creating NLP applications, some prior exposure to NLP concepts would be beneficial. Experience in developing, testing, and deploying software applications can help participants understand the process of integrating AI capabilities into practical business applications.

$2,595

Length: 4.0 days (32 hours)

Level:

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