ChatGPT Masterclass for Programmers and Software Engineers

Learn practical coding skills for working professionally with AI, including GPT-4, Stable Diffusion, and GitHub Copilot.

Created by: Mike Taylor
Prompt Engineer

Created by: James Phoenix
Full Stack Data Engineer

What Will I Learn?

• Learn the strengths and weaknesses of ChatGPT, Midjourney, GitHub Copilot, Stable Diffusion & other major models.
• Recognize the "Five Principles of Prompting", as well as common tips & tricks for professional grade output.
• Apply what you’ve learned to generate new AI products in 15+ real-world projects for both text and image generation use cases.
• Understand the Python coding patterns and tooling you need to run and scale AI reliably in production, and start working as an AI Engineer.

Requirements

• Python Coding Required

Target audience

• AI power users who want to learn more advanced practices and learn to run Python code to use AI at scale.
• Developers interested in AI and hoping to learn how to get more reliable results in production.
• AI Engineers who want to keep up with the latest techniques and developments in the industry.