Upcoming Trainings

The AI Agents and Workflows class focuses on building automated systems that can handle repetitive, time-consuming tasks with minimal human involvement. It introduces the concept of AI agents that can follow defined processes, make basic decisions, and interact with tools like email, help desk platforms, and phone systems. The course walks through how to design workflows that connect these agents to real business tasks, such as triaging support tickets, responding to common inquiries, and managing routine communications.

Key takeaways include understanding how to break down processes into clear, repeatable steps, selecting the right tools to support automation, and setting up agents that can reliably execute tasks without constant oversight. Learners also gain practical experience designing workflows for common use cases like customer support, inbox management, and call handling, along with strategies for monitoring performance and improving reliability over time.

Most people using ChatGPT are only scratching the surface. This training is designed to close that gap. We'll cover how to customize ChatGPT for your specific needs, advanced prompting strategies that actually hold up in real work, and how to plug it into the workflows your team is already running. You'll walk out using it differently than you walked in.

The AI for Programming course focuses on using AI tools like Claude Code to support the full software development lifecycle, from initial idea to a working end-to-end application. It covers how to collaborate with AI to write, review, and refine code while following established best practices for structure, readability, and maintainability. The course emphasizes practical workflows, showing how AI can speed up development without sacrificing code quality or clarity.

Key takeaways include learning how to effectively prompt AI for coding tasks, structure projects for scalability, and apply best practices such as modular design, version control, and testing. Learners will build a complete application while gaining experience using AI as a coding partner to debug issues, improve performance, and iterate quickly. By the end, students should feel confident using AI to accelerate development while maintaining strong engineering standards.

Prerequisite
This is not a beginner-level course. Students should have prior programming experience and be comfortable working with at least one programming language, as well as basic development tools and concepts.

*Claude Code or Codex license is required.

The Advanced Claude class focuses on helping users move beyond basic prompting and understand how to use the platform more effectively in real-world scenarios. It introduces tools like Artifacts for structured work, Projects for organizing related conversations, custom Skills for specialized tasks, and built-in web search to access up-to-date information. The course also explores different model types and when to use them, along with advanced capabilities such as extended thinking and research mode for more complex or analytical tasks.

Key takeaways include learning how to choose the right tool or model for a given job, structuring prompts to get more accurate and useful responses, and using Claude as a practical productivity assistant rather than just a question-answer tool. By the end, users should feel more confident integrating Claude into workflows like research, writing, planning, and problem-solving, with a better understanding of its strengths and limitations.

The Advanced ChatGPT class focuses on helping users move beyond basic prompting and understand how to use the platform more effectively in real-world scenarios. It introduces tools like Canvas for structured work, custom agents for specialized tasks, and built-in web search to access up-to-date information. The course also explores different model types and when to use them, along with advanced modes such as deep thinking and deep research for more complex or analytical tasks.

Key takeaways include learning how to choose the right tool or model for a given job, structuring prompts to get more accurate and useful responses, and using ChatGPT as a practical productivity assistant rather than just a question-answer tool. By the end, users should feel more confident integrating ChatGPT into workflows like research, writing, planning, and problem-solving, with a better understanding of its strengths and limitations.