All Courseware Tracks

AI Software Development Courseware

Courseware tracks are designed to help training companies enrich their curriculum by providing exceptional and consistent materials that both your trainers and your students will appreciate. In addition to student manuals, most of the courses include presentation slides and the option to purchase pre-built lab environments, either directly through Courseware Store or from a third-party lab provider.

Description

The AI in Software Development courseware track is designed for people who want to use AI tools to help build applications and websites, even if they do not come from a traditional programming background. The track introduces learners to AI coding assistants such as Claude Code, ChatGPT, Codex, and GitHub Copilot, while emphasizing practical workflows that can be adapted to other agentic AI development tools.

Across the track, students progress from initial setup and first AI-assisted coding tasks to prompting, review, debugging, planning, testing, structured iteration, and release readiness. By the end of the track, students will have a practical foundation for using AI throughout the software development process while maintaining human judgment, quality control, and clear project direction.

Included Courses

Getting Started with AI Development

Length: 3 hours | $35.00 per copy

Getting Started with AI Development is for people who want to learn how to use AI to help build apps and websites, even if they do not have a programming background. The course introduces students to AI coding assistant tools such as Claude Code, Codex, and GitHub Copilot, while also showing how the same approach can be adapted to other agentic AI development tools.

Students will learn how to set up and work with AI coding assistants, ask for help effectively, review what the tools produce, and improve results through follow-up prompts. By the end of the course, students will have used AI to create and refine a simple webpage and will understand how to begin using AI tools more confidently in future app and website projects.

AI as a Coding Partner

Length: 3 hours | $35.00 per copy

AI as a Coding Partner is for people who want to move beyond simple AI prompts and learn how to work with AI tools more effectively while building apps and websites. The course shows students how to use chat-based tools and agentic coding assistants such as Claude Code, ChatGPT, Codex, and GitHub Copilot as practical partners for planning, creating, reviewing, and improving code.

Students will learn how to give AI better context, ask more precise questions, guide an AI assistant through small development tasks, and use AI to review and debug existing work. By the end of the course, students will be better prepared to collaborate with AI coding tools, catch mistakes, improve results, and use AI support more confidently throughout the development process.

Planning, Building, and Testing with AI

Length: 4 hours | $35.00 per copy

Planning, Building, and Testing with AI is for people who want to use AI tools to build apps and websites in a more organized, reliable way. The course shows students how to turn an idea or set of requirements into a clear plan, then use tools such as Claude Code, ChatGPT, Codex, and GitHub Copilot to help build from that plan.

Students will learn how to guide AI with specifications, break work into manageable steps, check whether the output matches the original goals, and improve the project through testing, review, and refinement. By the end of the course, students will have a practical process for using AI coding assistants to plan features, build with more control, catch problems earlier, and make improvements with greater confidence.

Agentic Coding Workflows

Length: 4 hours | $35.00 per copy

Agentic Coding Workflows is for anyone who want to use AI coding assistants to manage larger development tasks from start to finish. The course shows students how to work with tools such as Claude Code, Codex, and GitHub Copilot in more structured workflows that include planning, review, validation, documentation, and release readiness.

Students will learn how to guide AI through complete feature-building loops, review the results with clear roles and expectations, and prepare work for handoff or release. By the end of the course, students will understand how to use agentic AI coding tools more effectively across multi-step projects, while keeping human judgment, quality control, and project priorities at the center of the process.


All Courseware Tracks