About this course
ARE YOU READY TO HARNESS THE POWER OF GENERATIVE AI AND TRANSFORM YOUR BUSINESS?
Artificial Intelligence, particularly Generative Pre-trained Transformers (GPT) and Large Language Models (LLMs) is revolutionising industries and reshaping the way we approach problem-solving and innovation.
However, harnessing their full potential requires a deep understanding of their optimisation and implementation.
Our Purpose Built AI: GPT & LLMs course is designed to bridge the gap between theoretical knowledge and practical application and will equip you with the skills and hands-on knowledge needed to leverage these cutting edge technologies effectively.
Whether you're looking to revolutionise your business operations, enhance creativity, or solve complex problems, this course provides the insights you need to unlock the full potential of GPT and LLM technologies.
What you will gain
A Purpose Built AI: GPT & LLMs digital badge will be available upon successful completion of the course from Skills Development Group.
This course will contribute 21 PMI® professional development units (PDUs) towards your chosen certification (18 Ways of Working and 3 Business Acumen).
What you will learn
What you need
To get the most out of this course, it is recommended that participants have familiarity with Generative AI through formal training like our AI courses or hands-on experience
This course is great for
- Technology professionals, developers and data scientists wanting to leverage and implement custom GPTs and LLMs for specific business needs or industry applications
- Business leaders and innovators looking to leverage AI technology to drive organisational transformation and create new AI-powered products or services
- Anyone looking to master advanced prompt engineering and GPT finetuning techniques
Topics Covered
Introduction to GPTs
Prompt Engineering Techniques
- Temperature, seed and token size parameters
Creating a GPT Challenges in AI
- Understanding AI biases and hallucinations
- Bias control
Controlling Response Structures Retrieval-Augmented Generation (RAG) Controlling GPT Responses
Applying Domain Expertise
Applying Tribal Knowledge and Rules Purpose-Built GPTs
- Designing GPTs for specific business needs
- Executing versioning for client solutions
- Connecting GPT to other tools
GPT Chaining and Extended Solutions Capstone GPT Project
- Best practices and requirements
- Design and create your own GPT
Responsible AI and Security
- Ethical AI Practices
Advanced AI Topics
- Using AI agents and open-source integrations
- Using Python and custom code to create highly specialised GPTs
Support Project Team Performance
- Implement ongoing improvements
- Evaluate project progress
- Manage project issues, impediments and changes
Closing the Project / Phase
- Benefits realisation
- Knowledge Transfer