Course Details
Course Code: – ;Â Â Duration: 1 Day; Instructor-led
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 workshop 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.
By the end of the workshop, teams will understand how to integrate AI into day-to-day engineering and product workflows to improve speed, quality, collaboration, and delivery effectiveness.
Audience
- Product Managers
- Product Owners
- Technical Product Managers
- Engineering Managers
- Tech Leads
- Software Engineers
- Architects
- Innovation Teams
- Startup Teams
Prerequisites
None
Methodology
- Live demonstrations
- Guided hands-on labs
- Workflow simulations
- Real-world engineering examples
- Collaborative exercises
Course Objectives
By the end of this program, participants will be able to:
Understand AI-First Product Engineering
- 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
Work Effectively with Claude Code
- Install and configure Claude Code
- Use Claude Code in practical workflows
- Understand Explore → Plan → Code → Commit workflow
Improve Product & Engineering Collaboration
- Translate product ideas into engineering workflows
- Improve communication between product and engineering teams
- Understand AI-assisted implementation planning
Use Context Engineering & Workflow Systems
- Use CLAUDE.md effectively
- Manage reusable project context
- Use skills, subagents, and reusable workflows
Understand Agentic Engineering Concepts
- Understand MCP and tool integrations
- Use hooks and automation concepts
- Understand workflow orchestration and AI-assisted execution
Outlines
This module introduces the concept of AI-first product engineering and explains how AI coding agents are transforming modern software development workflows. Participants learn how Claude Code fits into modern engineering systems and how AI-assisted workflows improve product delivery.
- 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
This module helps participants install, configure, and begin using Claude Code effectively in practical development workflows. Participants learn how Claude Code works with projects, context, permissions, and engineering tasks.
- 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
This module introduces the core Claude Code engineering workflow for structured AI-assisted software development. Participants learn how to break down implementation tasks and collaborate effectively with AI during development.
- Explore → Plan → Code → Commit workflow
- Understanding implementation planning
- AI-assisted feature exploration
- Code review workflows
- Iterative implementation
This module focuses on context engineering — one of the most important concepts in AI-assisted software development. Participants learn how a structured project context improves consistency, quality, and maintainability.
- What is CLAUDE.md?
- Context engineering principles
- Project-level instructions
- Architecture and coding standards
- Reusable engineering context
- Context organization strategies
This module introduces advanced Claude Code customization and workflow orchestration concepts. Participants learn how reusable skills, subagents, MCP integrations, and hooks improve AI-assisted engineering workflows.
- Skills and reusable workflows
- Subagents and delegation
- MCP overview
- Tool integrations
- Hooks and automation
- Workflow orchestration concepts
This module helps participants apply all workshop concepts to real product engineering workflows. Participants learn how product, engineering, and AI-assisted workflows come together in practical software delivery environments.
- Product-to-engineering collaboration
- AI-assisted feature delivery
- Working with legacy systems
- AI-assisted refactoring
- Engineering quality considerations
- Responsible AI-assisted development
Participants apply workshop concepts to design a practical AI-first engineering workflow for a product or delivery scenario.Â
- Select a product or engineering scenario
- Define workflow stages
- Create reusable context
- Identify AI-assisted opportunities
- Present an AI-first workflow approach
