AI Integration & Workflow Development (SED)
Contact IT Dojo for current pricing, available dates, and a custom quote tailored to your team or organization.
Course Duration
5 Half-Day Sessions (22.5 Hours)
Audience
Employees of federal, state and local governments; and businesses working with the government.
Prerequisites
Familiarity with generative AI through prior AI training or hands-on experience.
Course Description
This course bridges the gap between knowing about generative AI and putting it to work. You will learn prompt engineering techniques and model parameters that control GPT output, create and customize purpose-built GPTs for specific business needs, and tackle real implementation challenges such as inconsistent responses, hallucinations, and bias. You will use retrieval-augmented generation (RAG) and domain knowledge to improve accuracy, connect GPTs to other tools, chain solutions together, and explore agents, open-source integrations, and Python for highly specialized solutions, all grounded in responsible, ethical, and secure AI practice. The course closes with a capstone in which you design and build your own GPT.
Learning Objectives
- Apply prompt engineering to control and optimize GPT output
- Create and customize purpose-built GPTs for business needs
- Address hallucinations, inconsistent responses, and bias
- Use retrieval-augmented generation to improve accuracy
- Explain LLMs, inference engines, and the role of GPUs
- Integrate domain knowledge for accurate, consistent responses
- Build advanced solutions with Python and custom code
- Apply responsible, ethical, and secure AI practices
Course Outline
1. Introduction to GPTs and Prompt Engineering
- How GPTs and LLMs work
- Prompt engineering techniques
- Temperature, seed, and token parameters
2. Challenges in AI
- Bias and hallucinations
- Bias control and controlling response structure
3. Retrieval-Augmented Generation and Domain Knowledge
- Using RAG to improve GPT performance
- Applying domain expertise, tribal knowledge, and rules
4. Purpose-Built GPTs
- Designing GPTs for specific business needs
- Versioning solutions
- Connecting GPTs to other tools and chaining solutions
5. Capstone GPT Project
- Best practices and requirements
- Design and build your own GPT
6. Responsible AI and Security
- Ethical AI practices
- Secure AI implementation
7. Advanced AI Topics
- AI agents and open-source integrations
- Using Python and custom code for specialized GPTs
- Evaluating GPT technology for business innovation
Frequently Asked Questions
What does the AI Integration & Workflow Development course cover?
Five half-day sessions. Build purpose-built GPTs, apply RAG and domain knowledge, control output quality, and connect AI to other tools. IT Dojo delivers it as live instructor-led training for government, DoD, and corporate teams.
How long is IT Dojo's AI Integration & Workflow Development training?
Course length: 5 Half-Day Sessions (22.5 Hours). It is available as live remote online instruction or as a private session for your team.
Is this course available as live remote online training?
Yes. IT Dojo offers AI Integration & Workflow Development as live remote online training led by an instructor in real time. Private sessions for your organization can also be scheduled.
Who should attend this course?
Technology professionals, developers, and data scientists implementing custom GPTs and LLMs for business needs, and business leaders driving AI-powered products and services.
How do I register for this course?
IT Dojo training is employer sponsored. Your organization registers and pays for seats. Contact IT Dojo via the Request Training form or call 757-216-3656 to schedule this course for your team.