Bridge product strategy and engineering execution with AI-first workflows using Claude Code.

AI coding agents are transforming how product and engineering teams plan, build, and deliver software. This immersive 1-day training introduces practical Claude Code and agentic engineering workflows to improve collaboration, accelerate delivery, and create scalable AI-assisted development practices.

  • Why get trained: Learn Claude Code, context management, Explore → Plan → Code → Commit workflows, reusable skills, subagents, MCP integrations, and AI-assisted implementation planning.
  • Why it matters: Improve product-engineering collaboration, reduce delivery friction, accelerate implementation, and establish structured AI-assisted workflows.
  • Who should attend: Product Managers, Product Owners, Technical Product Managers, Engineering Managers, Tech Leads, Software Engineers, Architects, Innovation Teams, and Startup Teams.

Gain hands-on experience through practical exercises, real-world product-to-engineering workflows, and AI-assisted delivery demonstrations. HRD Corp Claimable.

Overview

Software product development is rapidly evolving from traditional engineering practices toward AI-first product engineering, where product strategy, engineering execution, and AI-assisted workflows operate together to accelerate delivery and improve productivity.

AI coding agents such as Claude Code are transforming how modern teams explore and refine requirements, design solutions, generate and review code, manage project context, automate engineering workflows, improve collaboration across product and engineering teams, and accelerate feature delivery. However, organizations are discovering that real productivity gains require more than casual AI usage. Teams need structured workflows, context-driven engineering practices, reusable automation patterns, and practical AI-first collaboration models.

This immersive 1-day course helps product and engineering teams learn how to apply practical AI-assisted engineering workflows using Claude Code and modern agentic engineering concepts. Unlike traditional coding workshops, this program focuses on real-world engineering execution, AI-assisted delivery workflows, and scalable product-engineering collaboration practices.

Skills Covered

  • Understand AI-assisted engineering workflows
  • Understand how coding agents differ from chat-based AI
  • Understand the role of context, tools, and workflows in AI-assisted development
  • Install and configure Claude Code
  • Use Claude Code in practical workflows
  • Understand Explore → Plan → Code → Commit workflow
  • Translate product ideas into engineering workflows
  • Improve communication between product and engineering teams
  • Understand AI-assisted implementation planning
  • Use CLAUDE.md effectively
  • Manage reusable project context
  • Use skills, subagents, and reusable workflows
  • Understand MCP and tool integrations
  • Use hooks and automation concepts
  • Understand workflow orchestration and AI-assisted execution

Prerequisites

No prior experience needed. The program starts with practical foundations and gradually moves into advanced AI-assisted engineering workflows.

Target Audience

  • Product Managers
  • Product Owners
  • Technical Product Managers
  • Engineering Managers
  • Tech Leads
  • Software Engineers
  • Architects
  • Innovation Teams
  • Startup Teams

Course Curriculum

Module 1: Introduction to AI-First Product Engineering

  • What is AI-first product engineering?
  • What is Claude Code?
  • AI coding agents vs chat-based AI
  • Agentic engineering concepts
  • Human-in-the-loop engineering
  • Modern AI-assisted engineering workflows

Module 2: Getting Started with Claude Code

  • Installing Claude Code
  • Claude Code environments
  • Your first prompt
  • How Claude Code works
  • Context windows and permissions
  • Approval mode and Plan mode
  • Daily workflow fundamentals

Module 3: Explore → Plan → Code → Commit Workflow

  • Explore → Plan → Code → Commit workflow
  • Understanding implementation planning
  • AI-assisted feature exploration
  • Code review workflows
  • Iterative implementation

Module 4: Context Engineering with CLAUDE.md

  • What is CLAUDE.md?
  • Context engineering principles
  • Project-level instructions
  • Architecture and coding standards
  • Reusable engineering context
  • Context organization strategies

Module 5: Skills, Subagents, MCP & Hooks

  • Skills and reusable workflows
  • Subagents and delegation
  • MCP overview
  • Tool integrations
  • Hooks and automation
  • Workflow orchestration concepts

Module 6: AI-Assisted Product Engineering in Practice

  • Product-to-engineering collaboration
  • AI-assisted feature delivery
  • Working with legacy systems
  • AI-assisted refactoring
  • Engineering quality considerations
  • Responsible AI-assisted development

Module 7: Capstone – Designing an AI-First Engineering Workflow

  • Select a product or engineering scenario
  • Define workflow stages
  • Create reusable context
  • Identify AI-assisted opportunities
  • Present an AI-first workflow approach

Dates & Locations

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There’s no intakes scheduled for this course at the moment!

For enquiries, please contact our reps.

Exam & Certification

Complete the AI-First Product Engineering with Claude Code Training and receive your AI-First Product Engineering with Claude Code Training Certificate of Completion after successfully completing the 1-day program. This validates your skills in applying AI-assisted engineering workflows, coding agents, context management, reusable workflows, and AI-first collaboration practices using Claude Code.

Training & Certification Guide

Yes. Participants will receive a certification from Agilemania upon successful completion of the training.

Why train with Trainocate

You will learn how to use Claude Code for requirement exploration, code generation, workflow automation, collaboration, and AI-assisted product engineering.

The training focuses on practical engineering workflows and real-world AI usage rather than traditional coding exercises alone.

Yes. Participants will work through practical examples, AI-assisted workflows, and real engineering use cases during the session.

Unlike generic AI sessions, this program focuses specifically on AI-first product engineering and modern agentic development workflows.

Yes. Product managers, delivery leaders, and technical stakeholders can also benefit from understanding AI-assisted engineering collaboration.

Participants should have a laptop, internet access, and access to Claude or supported AI tooling for hands-on practice.

The training helps professionals build practical AI-first engineering skills that are becoming increasingly valuable across modern product teams.

Speak to a Training Consultant

All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631

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