AI with ChatGPT (Advanced Level) Training Course
ChatGPT is a robust AI platform that empowers technical professionals to create, integrate, and govern AI-driven systems for automation and analytics.
This instructor-led, live training (online or onsite) targets advanced-level professionals who wish to develop, customize, and securely manage ChatGPT-based solutions in corporate environments.
By the end of this training, participants will be able to:
- Integrate ChatGPT into enterprise systems through APIs and plugins.
- Design and deploy custom AI-powered solutions.
- Implement security, governance, and compliance controls for AI tools.
- Leverage ChatGPT for advanced data analysis and software development support.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Advanced AI Applications and Workflows
- Building AI-assisted technical processes
- Using ChatGPT for software documentation and testing
- AI support for data querying and analysis
Customizing and Extending ChatGPT
- Creating and managing Custom GPTs
- Using plugins to enhance functionality
- Developing tailored use cases for departments
Working with the OpenAI API
- API authentication and configuration
- Sending and managing API requests
- Automating processes with scripts and webhooks
Security, Ethics, and Compliance
- Establishing corporate AI governance policies
- Ensuring data protection and access control
- Addressing bias and responsible AI deployment
Integration and Automation
- Connecting ChatGPT with enterprise platforms
- Automating reports and analytics workflows
- Integrating AI into DevOps and infrastructure systems
Building AI-Powered Solutions
- Designing custom dashboards with ChatGPT
- Embedding AI features into existing applications
- Scaling solutions across business units
Capstone Project
- Defining a real-world business challenge
- Designing and implementing an AI-based solution
- Evaluation, presentation, and peer feedback
Summary and Next Steps
Requirements
- A solid understanding of ChatGPT prompt engineering
- Experience using AI for workflow automation or data-related tasks
- Basic knowledge of APIs or technical integrations
Audience
- Developers and engineers
- Data analysts and IT professionals
- Team leaders implementing AI governance
Open Training Courses require 5+ participants.
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Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
Brett McLaren - Zoll Itamar
Course - ChatGPT for Productivity: A Beginner’s Guide
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