Course Overview
You will write custom GPTs for AI-assisted application development. You will gain a clear understanding of prompting techniques, building/configuring a custom GPT, and end-to-end application development with AI assistance. With over 39 labs and lectures, this hands-on intensive course is ideal for anyone needing to develop applications with AI assistance. Direct access to the AI platform is not required, as all traffic is managed through the training provider. An OpenAI Plus subscription is required, as the course content utilizes ChatGPT Premium features.
Who should attend
- Application Developers
- Project Managers
- System Engineers
- DevOps Management
Prerequisites
- Previous exposure to any programming language, preferably Python
- Experience writing prompts, or previous prompt engineering training/experience helpful, but not required
Course Objectives
- Develop and Write Code with AI
- Plan and Scope a Project with AI
- Build and Configure a Custom GPT
- Fine-Tune a Custom GPT
- Deploy an Application with AI Assistance
- Understand Large Language Models and Prompting
- Deploy Advanced Prompting Techniques
- Learn Complex Programming Concepts with AI
- Develop Instructions for a Custom GPT
- Defining Prompts and Parameters
- Introduction to AI-Assisted Application Development
Outline: Developing AI-Powered Applications (ADAI)
Prompt Engineering
- Lecture: What is Intelligence?
- Lecture: Writing Prompts for LLMs
- Lecture + Lab: Prompting an AI Model
- Lecture + Lab: Define Prompt Parameters: Task/Inputs/Outputs/Constraints/Style
- Lecture + Lab: Prompt Techniques: Chaining, Set Role, Feedback, Examples
Class Project
- Challenge: Optional Class Project: Build and Deploy an Application with your own GPT
Build your own AI Application Development Assistant
- Lecture: Building Purpose Driven GPTs!
- Lecture + Lab: Develop Instructions for Custom GPT
- Lecture + Lab: Define Knowledge Base for a Custom GPT
- Lecture + Lab: Build a Custom GPT
- Challenge: Class Project: Build your own GPT Powered AI Application Development Assistant
Learn Programming Concepts with AI
- Lecture: Strategies for Learning with AI
- Lecture + Lab: Leveraging GPT for AI-Augmented Learning
Plan and Scope Application
- Lecture: AI-Augmented Project Planning
- Lecture + Lab: Project Plan/Scope Development with AI
- Challenge: Class Project: Scope out your Project /w AI
GitHub Copilot
- Lecture: Introduction to GitHub Copilot
- Lecture + Lab: GitHub Copilot Account Setup
- Lecture + Lab: Setup Copilot with VIM
- Lecture + Lab: Copilot in the CLI
AI Chat Interactions for Programing
- Lecture: ChatGPT 4 Code Interpreter (CI)
- Lecture: Optimizing Prompt Strategies for Code Generation
- Lecture + Lab: Execute Code using ChatGPT CI
Containerization and Microservices
- Lecture: Microservices Overview
- Lecture + Lab: Deploy Kubernetes Using Ansible
- Lecture + Lab: Using AI to Create/Manage a Docker Container
- Lecture + Lab: Deploy an Application in Kubernetes /w AI