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Course Overview
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 revolutionizing industries and reshaping the way we approach problem-solving and innovation. However, harnessing their full potential requires a deep understanding of their optimization and implementation. Our AI Integration & Workflow Development 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 revolutionize 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.
This course will contribute 21 PMIĀ® professional development units (PDUs) towards your chosen certification (18 Ways of Working and 3 Business Acumen).
Who Should Attend
Technology Professionals, Business Leaders, and anyone looking to master advanced prompt engineering
Course Objectives
- Prompt engineering techniques to effectively control and optimize GPT outputs.
- Creating and customizing purpose-built GPTs for specific business needs.
- Challenges in AI implementation, including inconsistent responses, hallucinations, and bias.
- Using Retrieval-Augmented Generation (RAG) to enhance GPT performance.
- Technical components of Generative AI, such as Large Language Models (LLMs), inference engines, and the role of GPUs.
- Methods for integrating domain knowledge into GPTs to ensure accurate and consistent responses.
- Developing advanced AI solutions using Python and custom code for specialized GPTs.
- Responsible, ethical and secure AI practices.
- Evaluating and leveraging GPT technology for business innovation and new business models.
Course Outline
- Introduction to GPTs
- Prompt Engineering Techniques
- Creating a GPT Challenge in AI
- Controlling Response Structures
- Controlling GPT Responses
- Applying Domain Expertise
- Applying Tribal Knowledge and Rules
- GPT Chaining and Extended Solutions
- Capstone GPT Project
- Responsible AI and Security
- Advanced AI Topics
- Support Project Team Performance
- Course Conclusion and Summary