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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.
Product Managers
Product Owners
Technical Product Managers
Engineering Managers
Tech Leads
Software Engineers
Architects
Innovation Teams
Startup Teams
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
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
Explore → Plan → Code → Commit workflow
Understanding implementation planning
AI-assisted feature exploration
Code review workflows
Iterative implementation
What is CLAUDE.md?
Context engineering principles
Project-level instructions
Architecture and coding standards
Reusable engineering context
Context organization strategies
Skills and reusable workflows
Subagents and delegation
MCP overview
Tool integrations
Hooks and automation
Workflow orchestration concepts
Product-to-engineering collaboration
AI-assisted feature delivery
Working with legacy systems
AI-assisted refactoring
Engineering quality considerations
Responsible AI-assisted development
Select a product or engineering scenario
Define workflow stages
Create reusable context
Identify AI-assisted opportunities
Present an AI-first workflow approach
Learn how to build products faster and smarter using AI and Claude Code. Download the brochure to explore the course overview, learning outcomes, and training details.
Upon successful completion of the AI-First Product Engineering with Claude Code training, participants will earn a certification from Agilemania. Participants will also learn how to apply AI-assisted engineering workflows to improve product delivery, collaboration, and development productivity.
This training is designed for software engineers, product managers, tech leads, architects, engineering managers, and AI-curious product teams.
No. The program starts with practical foundations and gradually moves into advanced AI-assisted engineering workflows.
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. Participants will receive a certification from Agilemania upon successful completion of the training.
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.
Yes! Cancellations made within 24 hours of registration qualify for a full refund (minus payment gateway charges). Contact connect@agilemania.com for refund requests.
You can pay using debit/credit cards (MasterCard, Visa, American Express) or PayPal. Once payment is completed, you’ll receive an email confirmation.
Leverage Our Tailor-Made Corporate AgileScrum, SAFe And DevOps Training Programs to Stay Ahead Of The Competition And Succeed In This Digital Economy.
AI-first product engineering is changing how modern teams build, collaborate, and deliver software. This training will help you learn practical AI-assisted workflows using Claude Code to improve engineering speed, product collaboration, and delivery efficiency. You’ll explore real-world agentic engineering practices, reusable automation workflows, and smarter ways to work across product and development teams.
If you want to stay relevant in the next era of software delivery and lead AI-driven engineering transformation with confidence, this is the right place to start. Enroll now and future-proof your engineering skills.
