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Hands-On No Code AI Tools: Customize Your Own OpenAI GPTs, Claude Artifacts, and More

Published by O'Reilly Media, Inc.

Beginner to intermediate content levelBeginner to intermediate

From augmenting research to building a personal assistant for increased productivity

Course outcomes

  • Understand the basics for building and deploying custom GPTs without coding
  • Learn how to use custom GPTs to increase work productivity across multiple domains from organizing and analyzing data to summarizing multiple documents

Course description

Join expert Lucas Soares to dive into the world of artificial intelligence and unlock GPTs’ full potential for personal and professional growth—without having to code. You'll create specialized tutors, extract and summarize critical information from diverse sources like videos, papers, and images. You’ll learn to automate workflows for tasks like filling out forms, reading long documents, and more, and automate your personal calendar and create tailored schedules. In a few hours, you'll be equipped with the practical skills to transform your workflow.

What you’ll learn and how you can apply it

  • Leverage specialized functionalities of GPTs to perform research and write reports
  • Use custom GPTs to dive deeply into new topics by creating specialized tutors in different subjects
  • Use custom GPTs to extract and summarize information from any online source
  • Use custom GPTs to talk to documents like PDFs, CSVs, and more
  • Build specialized apps that can analyze data from multiple sources and produce data analysis reports with tailored insights for your use case

This live event is for you because...

  • You’re a business user who’s looking to increase your productivity, automate tasks, and tackle AI technologies.

Prerequisites

  • Familiarity with the ChatGPT interface
  • Basic research skills
  • A ChatGPT Plus subscription (includes a fee: subscription is optional if you want to follow along with the hands-on exercises)
  • A Claude subscription (includes a fee: subscription is optional if you want to follow along with the hands-on exercises)

Recommended preparation:

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Introduction (25 minutes)

  • Presentation: Introduction to the course, overview of ChatGPT, custom GPTs, Claude & Artifacts, and learning objectives
  • Hands-on exercise: Build your first custom GPT

Custom GPT basics (35 minutes)

  • Presentation: Fundamentals of custom GPT architecture and functionality
  • Hands-on exercise: Create a basic custom GPT for querying PDFs and CSVs
  • Q&A
  • Break

Application of custom GPTs (50 minutes)

  • Presentation: Research and data analysis with custom GPTs
  • Hands-on exercises: Develop custom GPTs for automating research reports and data analysis reports
  • Q&A
  • Break

Advanced custom GPT applications (30 minutes)

  • Presentation: Building specialized GPT tutors
  • Hands-on exercise: Create a specialized tutor for learning from documents
  • Q&A

Creating a multipurpose personal assistant (40 minutes)

  • Presentation: Custom GPTs as personal assistants
  • Hands-on exercises: Create a personal assistant for automating your schedule; execute multiple tasks
  • Q&A

No-code Use Cases for Claude 3.5 Sonnet + Artifacts (30 minutes)

  • Presentation: Intro to Claude 3.5 Sonnet + Artifacts
  • Hands-on exercise 1: Creating Interactive Quizzes from PDF with Artifacts
  • Hands-on exercise 2: Creating Automatic Dashboard Apps from .csv with Artifacts
  • Q&A

No-code Use Cases for Claude 3.5 Sonnet + Artifacts (30 minutes)

  • Presentation: Artifacts as a Bridge - From Static to Interactive
  • Hands-on exercises: Automating Data Analysis; Slides; Interactive Explanations
  • Q&A

Your Instructor

  • Lucas Soares

    Lucas Soares is a machine learning engineer who has worked at K1 Digital and Biometrid, where he developed computer vision and NLP models for applications such as document verification, OCR-based applications, and recommender systems. Lucas has also developed various ML models, including neural networks, Siamese networks, convolutional neural networks, LSTMs, and genetic algorithms.

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Skills covered

  • Claude
  • Generative AI