Digital Innovation and Transformation

ChatGPT: Document and Image Information Extraction

This course focuses on leveraging ChatGPT for effective document and image information extraction. Participants will learn to implement AI-driven techniques to automate data extraction processes, enhancing productivity and accuracy in various professional contexts, including data analysis, project management, and operational efficiency.

5 days Classroom or live online English

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Download the full standard outline: why attend, methodology, objectives, audience, competencies, the daily outline and current plans.

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Why attend

From knowledge to real-world impact.

Organisations frequently encounter challenges in efficiently extracting relevant information from vast amounts of documents and images. Manual extraction is often time-consuming and prone to errors, leading to inefficiencies and increased operational costs. This course addresses these issues by equipping professionals with the skills to utilise ChatGPT for automating information extraction, ensuring they can streamline workflows, reduce human error, and improve data handling. Participants will learn to assess the suitability of ChatGPT for their specific extraction needs and make informed decisions about its implementation in their operations, ultimately enhancing their overall productivity and decision-making capabilities.

Professionals will engage in practical exercises that simulate real-world scenarios, allowing them to apply ChatGPT's capabilities to extract structured data from unstructured sources. Mastering these techniques enhances their ability to make informed decisions based on accurate data, driving better business outcomes and fostering a data-driven culture within their organisations. Participants will also develop skills in designing workflows, evaluating extraction accuracy, and integrating AI tools into their existing processes, which are critical for maintaining competitiveness in a data-centric environment. This course empowers them to tackle complex extraction tasks with confidence.

Workplace challenges

Professional Problems This Course Is Designed to Solve

The programme explores practical approaches to the following challenges. Results depend on how the learning is applied in your organisation.

Difficulty translating subject knowledge into practical workplace decisions.
Inconsistent approaches to the activities covered in the course outline.
Lack of a structured plan for applying and reviewing new skills.

Course methodology

How you will learn.

The course employs a blend of hands-on workshops, case studies, and collaborative exercises to build practical capabilities. Participants will work on real-world scenarios where they will utilise ChatGPT to extract information from documents and images. Specific exercises include configuring ChatGPT for various document types, applying image processing techniques, and designing automated workflows. Participants will also engage in peer reviews to assess the effectiveness of their extraction methods. Outputs will include structured data sets, extraction reports, and workflow diagrams, demonstrating their ability to apply AI tools effectively in their roles. This practical approach ensures that participants leave with tangible skills and resources they can implement immediately in their professional environments.

Course objectives

What you'll take away.

By the end of this course, participants will be able to:

Evaluate the effectiveness of ChatGPT for document information extraction tasks.
Implement ChatGPT to extract structured data from various document formats.
Analyse image data to identify and extract relevant information using AI tools.
Design workflows that integrate ChatGPT for automated information retrieval processes.
Assess the accuracy of extracted data and refine extraction techniques as needed.
Construct a comprehensive report detailing the extraction process and outcomes.

Target audience

Who should attend.

This course is suitable for:

Data Analysts seeking to improve data extraction efficiency.
Project Managers needing to streamline documentation processes.
IT Professionals interested in AI applications for data handling.
Business Analysts focusing on data-driven decision-making.

Target competencies

Capabilities you will build.

Participants will develop competencies in:

Proficient in using ChatGPT for data extraction tasks.
Skilled in evaluating the accuracy of AI-generated outputs.
Capable of designing automated workflows for information retrieval.
Adept at analysing and interpreting extracted data for insights.
Experienced in integrating AI tools into existing data processes.
Knowledgeable in best practices for document and image data handling.

Course outline

Your learning journey.

A focused, practical outline with time to explore, apply and reflect.

Day 1Introduction to ChatGPT and Information Extraction

Applied activity: Participants will analyse a set of documents and images to identify key information that needs extraction. They will discuss the challenges faced in manual extraction and brainstorm potential AI solutions, focusing on specific workplace scenarios they encounter.

Output: A summary report outlining identified challenges and proposed AI solutions.

09:00–09:54Overview of ChatGPT and its capabilities in information extraction.
09:54–10:48Understanding different document formats and their challenges in extraction.
10:48–11:00Introduction to image data and common extraction techniques used in industry.
11:00–11:30Coffee break
11:30–12:12Introduction to image data and common extraction techniques used in industry. (continued)
12:12–13:06Identifying use cases for AI in document and image processing workflows.
13:06–14:00Ethical considerations and compliance in AI-driven data extraction.

Day 2Setting Up ChatGPT for Document Extraction

Applied activity: Participants will set up ChatGPT to extract data from a provided set of documents, testing various configurations to optimise performance. They will document their findings, adjustments made, and the rationale behind their choices during the process.

Output: A configuration report detailing settings used, results obtained, and recommendations for future use.

09:00–09:54Configuring ChatGPT for optimal performance in information extraction tasks.
09:54–10:48Exploring APIs and tools for integrating ChatGPT with various document sources.
10:48–11:00Creating templates for structured data extraction from different document formats.
11:00–11:30Coffee break
11:30–12:12Creating templates for structured data extraction from different document formats. (continued)
12:12–13:06Testing ChatGPT with sample documents for initial results and adjustments.
13:06–14:00Evaluating the output quality and making necessary adjustments to improve accuracy.

Day 3Image Data Extraction Techniques

Applied activity: Participants will work with a set of images to extract relevant text and data using ChatGPT and image processing techniques. They will compare results with manual extraction methods, discussing the effectiveness of each approach in practical scenarios.

Output: A comparative analysis report of extraction methods used, including insights on efficiency and accuracy.

09:00–09:54Understanding image formats and their implications for effective data extraction.
09:54–10:48Utilising ChatGPT for text recognition in images through OCR techniques.
10:48–11:00Implementing image processing techniques to enhance data extraction outcomes.
11:00–11:30Coffee break
11:30–12:12Implementing image processing techniques to enhance data extraction outcomes. (continued)
12:12–13:06Integrating ChatGPT with image analysis tools for improved extraction results.
13:06–14:00Case studies of successful image data extraction projects in various industries.

Day 4Workflow Design for Automated Information Retrieval

Applied activity: Participants will design a workflow that incorporates ChatGPT for automated information extraction, testing it with sample data and refining it based on feedback from peers and instructors. They will focus on practical applications relevant to their roles.

Output: A workflow diagram and description of the automated extraction process, including roles and responsibilities.

09:00–09:54Mapping out workflows for integrating ChatGPT into existing data processes.
09:54–10:48Identifying key stakeholders and their roles in the extraction workflow.
10:48–11:00Creating a prototype workflow for document and image extraction tasks.
11:00–11:30Coffee break
11:30–12:12Creating a prototype workflow for document and image extraction tasks. (continued)
12:12–13:06Testing the workflow with real-time data extraction scenarios to assess performance.
13:06–14:00Gathering feedback and iterating on the workflow design based on participant experiences.

Day 5Integrated Application and Case Study

Applied activity: Participants will collaborate on a case study involving multiple document and image sources, using ChatGPT to extract and compile information. They will present their findings and extraction strategies to the group, focusing on practical implications and improvements.

Output: A presentation summarising the extraction process, challenges faced, and solutions implemented, along with a team reflection on the learning experience.

09:00–09:54Reviewing key concepts and techniques learned throughout the course.
09:54–10:48Conducting a comprehensive case study on a real-world extraction project.
10:48–11:00Collaborating in teams to apply ChatGPT for a multi-source extraction task.
11:00–11:30Coffee break
11:30–12:12Collaborating in teams to apply ChatGPT for a multi-source extraction task. (continued)
12:12–13:06Evaluating team outputs and refining extraction strategies based on results.
13:06–14:00Presenting findings and discussing lessons learned from the case study.

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Dates & venues

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Confirmed dates accept registration requests. Tentative dates are enquiry only.

Good to know

A few things to know.

How is the course delivered?

Our classroom programmes combine facilitated discussion, case studies, exercises and reflection. The precise format will be confirmed before enrolment.

Can you deliver this programme for our team?

Yes, you can enquire about a tailored programme. Share your goals, group size and preferred dates with our learning team.

Will I receive a certificate?

Participants who complete the programme receive a Smart Horizon certificate of attendance. Smart Horizon programmes are not externally accredited and do not award a professional qualification, licence or designation. Where a course title or outline refers to a professional certification (for example, AACE International's Certified Cost Professional), the programme supports learning and preparation only; the credential itself is awarded solely by the relevant professional body under its own application and examination requirements.

What should I confirm before booking travel?

Please confirm the session, exact venue, accessibility arrangements, fees and any visa requirements with the team before arranging travel. Tentative dates are not confirmed sessions.

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