Duration

1 Day

Audience

Employees of federal, state and local governments; and businesses working with the government.

Course Overview

AutoGPT, a powerful tool based on the GPT-4 architecture, is an advanced Artificial General Intelligence (AGI) model designed to perform a wide range of tasks beyond the scope of chat-based applications. While ChatGPT focuses primarily on generating human-like conversational responses, AutoGPT extends its capabilities to diverse business applications such as text generation and summarization, data extraction and analysis, natural language processing, chatbot development, and decision support systems. Learning AutoGPT empowers business users to harness the potential of AGI-driven solutions, streamline processes, enhance efficiency, and make data-driven decisions, ultimately fostering growth and success in the ever-evolving business landscape.

AutoGPT in Action: AGI Basics for Business Users is a two day hands-on course that provides you with the essential skills and hands-on experience required to tackle a wide range of projects, from marketing and data analysis to process automation and decision support. Whether you work in Sales & Marketing or Operations & Strategy, this immersive learning experience will help you gain confidence using these innovative, cutting edge technologies to solve complex problems quickly and efficiently. No coding, programming or deep math skills needed. This course will show you step-by-step how to put these tools to work for you.

Throughout the course, our engaging instructor will guide you through a wide array of valuable topics and hands-on activities, including text generation, data analysis, workflow automation, decision support, and team collaboration. You’ll gain solid practice working through real-world scenarios using a variety of tools and skills, ensuring you’ll gain the confidence and practical knowledge needed to tackle a variety of business challenges with ease. By the end of the course, you’ll have the hands-on know-how to implement AutoGPT’s capabilities across various business functions, streamlining processes and driving innovation in your workplace.

Learning Objectives

This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you’ll learn how to:

  • Generate high-quality text for various business applications, such as email drafting, report creation, and marketing material development, using AutoGPT’s text generation capabilities.
  • Analyze datasets and extract actionable insights to inform data-driven decision-making, leveraging AutoGPT’s data analysis features, including data visualization, time series forecasting, and integration with spreadsheet tools.
  • Implement workflow automation and streamline repetitive tasks by utilizing AutoGPT in conjunction with third-party integration tools, improving overall business efficiency.
  • Enhance team collaboration and project management by integrating AutoGPT into document review processes, remote communication, and knowledge management, fostering a more productive and connected work environment.
  • Customize and fine-tune AutoGPT models for specific business needs, enabling the development of tailored solutions that address unique challenges and requirements within the organization.
  • Apply best practices and troubleshooting techniques to optimize AutoGPT performance, ensuring the responsible and ethical use of AGI while maintaining high-quality output and mitigating potential issues.

If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.

Outline

Day 1

  1. Introduction to AutoGPT
  • Overview of Artificial General Intelligence (AGI) and AutoGPT
  • Common business use cases for AutoGPT
  • AutoGPT’s architecture and components
  • Data privacy and security considerations
  • Lab Exploring AutoGPT Familiarize yourself with the AutoGPT interface and available tools
  1. AutoGPT for Text Generation
  • Generating text for emails, reports, and marketing materials
  • Text summarization and information extraction
  • Optimizing text generation quality and controlling output
  • Ethics and responsible use of text generation
  • Formulating prompts and instructions
  • Configuring the model parameters (temperature, max tokens, etc.)
  • Handling long documents and generating coherent text
  • Fine-tuning and customizing the model for specific tasks
  • Lab: Text Generation and Summarization: Generate and summarize text using the AutoGPT web interface
  1. AutoGPT for Data Analysis
  • Analyzing datasets and generating insights with AutoGPT
  • Data visualization and chart creation
  • Time series forecasting
  • Integrating AutoGPT with Excel, Google Sheets, and other tools
  • Lab: Data Analysis and Visualization: Analyze a dataset and create visualizations using AutoGPT’s built-in tools
  1. AutoGPT for Automating Business Processes
  • Streamlining repetitive tasks with AutoGPT
  • Implementing basic chatbots and customer support
  • Workflow automation and integration with third-party tools
  • Monitoring and managing automation performance
  • Lab: Process Automation: Create a simple workflow automation using AutoGPT and a third-party integration tool (e.g., Zapier)

Day 2

  1. AutoGPT for Decision Support
  • Natural language processing for decision support
  • Sentiment analysis and customer feedback
  • Risk assessment and fraud detection
  • Market research and trend analysis
  • Lab: Decision Support: Use AutoGPT to analyze customer feedback and make data-driven decisions
  1. Customizing AutoGPT
  • Fine-tuning AutoGPT for specific business needs
  • Training new models on your data
  • Evaluating and improving model performance
  • Deploying custom models in your organization
  • Lab 6: Customizing and Training Models: Fine-tune an AutoGPT model for a specific business task
  1. AutoGPT for Collaboration and Teamwork
  • Collaborative editing and document review with AutoGPT
  • Enhancing communication and productivity in remote teams
  • AutoGPT for project management and planning
  • Managing and organizing shared knowledge using AutoGPT
  • Lab: Collaboration and Teamwork: Implement an AutoGPT-based workflow for document review and project management
  1. Best Practices and Troubleshooting
  • Ensuring high-quality output and avoiding common pitfalls
  • Monitoring usage and managing resources
  • Scaling AutoGPT for larger organizations
  • Staying up-to-date with AutoGPT developments and community resources
  • Lab: Troubleshooting and Optimization: Identify and resolve issues in an AutoGPT workflow using best practices

Next Steps and Post-Training Resources