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Description

This course uses applied examples and guided activities to help learners move from basic prompting to practical coding-agent workflows. Learners will explore how to plan a task, prepare context, work iteratively with an agent, review generated outputs, and decide when human judgment is required.

Activities may include workflow mapping, prompt and instruction design, code review exercises, test-generation activities, risk analysis, documentation review, and planning for responsible adoption.

Participants will also explore and compare popular coding agent tools and workflows, including Claude Code, OpenCode, Antigravity, and Codex.

Who should enrol?

This course is intended for professionals who want to use AI coding agents in software, data, automation, technical product, or digital transformation work. It is especially relevant for:

  • Software developers and engineers who want to improve productivity while maintaining code quality and accountability
  • Technical leads and engineering managers responsible for team workflows, standards, AI adoption, or code review practices
  • Data, automation, and IT professionals who create scripts, integrations, internal tools, or technical documentation
  • Product managers, business analysts, and innovation professionals who work closely with technical teams and need to understand what coding agents can and cannot do
  • Learners in software, AI, or digital transformation programs who want applied experience with agentic development workflows

 

What you will learn

  • How coding agents differ from standard AI coding assistants and chat-based code tools
  • How to define clear development tasks, constraints, context, and acceptance criteria for agentic coding workflows
  • How to use coding agents to support planning, code generation, debugging, refactoring, testing, documentation, and review
  • How to evaluate AI-generated code for correctness, maintainability, security, performance, and fit with project requirements
  • How to design human-in-the-loop checkpoints that reduce risk and improve confidence in AI-assisted work
  • How to create a practical adoption plan for using coding agents in an individual, team, or organizational setting

 

Skills you'll gain

By the end of this course, you will be able to:

  • Set up an appropriate coding agent toolset for a development workflow
  • Recognize and mitigate key risks when using coding agents
  • Use coding agents effectively in editor-based, editor-less, and multi-worktree scenarios
  • Manage agent swarms and parallel development workflows
  • Design continuous delivery workflows involving coding agents

Applies Towards the Following Certificates

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