Leave your query and we’ll reach out to you.
Software engineering is entering a new era in which development teams are increasingly moving from manually writing code to orchestrating AI-assisted engineering workflows. AI coding agents like Claude Code are changing how engineering firms design systems, manage large codebases, accelerate delivery, improve code quality, automate repetitive work, and scale productivity.
Sustainable productivity gains from AI tools are not casual. To maximize AI-assisted software engineering's value, organizations need structured AI-first engineering practices, context-aware workflows, governance models, reusable automation patterns, and scalable development methods.
This immersive 3-day enterprise training helps engineering teams adopt practical, scalable agentic software engineering practices using Claude Code. Unlike traditional coding courses, this program focuses on engineering transformation, enabling teams to build repeatable, scalable, and enterprise-ready AI-assisted engineering systems. By the end of the program, participants will understand how to integrate AI agents into real engineering workflows to improve delivery speed, reduce operational overhead, and modernize software engineering practices at scale.
What is Claude Code?
AI-assisted coding vs. agentic engineering
Evolution of engineering workflows
Human + AI collaboration models
Engineering productivity transformation
AI-first engineering concepts
Explore → Plan → Code → Commit workflows
Engineering operating model changes
Claude Code installation
Project configuration
Persistent project context
CLAUDE.md structure
Context hierarchy
User vs project configuration
Context windows
Managing engineering memory
Context engineering fundamentals
Context windows and token management
Context layering
Working memory vs persistent memory
Rules vs skills vs prompts
Scratchpads and summaries
Retrieval strategies
Session management
Context degradation
Compact and session optimization
Structured prompting
Few-shot engineering prompts
Code review prompts
Debugging prompts
Refactoring prompts
Test generation prompts
Architecture prompts
Workflow prompting
Reducing false positives
Structured outputs
Agentic loops
Coordinator/subagent patterns
Task decomposition
Parallel execution
Context passing between agents
Delegation strategies
Iterative refinement loops
Human-in-the-loop workflows
Reliability patterns
Custom slash commands
Skills and reusable workflows
Skill isolation
Workflow packaging
Team engineering standards
Reusable engineering playbooks
Engineering workflow standardization
Hooks and automation
PreToolUse vs PostToolUse
Tool interception
Event-driven engineering workflows
MCP fundamentals
MCP tools and resources
MCP server integration
Shared engineering services
Tool governance
Claude Code plugin architecture
Plugin ecosystem overview
Plugin vs Skill vs Hook vs MCP vs Command
Installing and managing plugins
Superpowers methodology overview
Reusable engineering systems
Internal plugin ecosystems
Technical debt analysis
Code smell analysis
AI-assisted refactoring
Test generation
Review workflows
Multi-pass review systems
Independent verification workflows
Architecture modernization
Legacy system exploration
AI-assisted PR reviews
CI/CD integration
Structured JSON outputs
Automated review systems
Batch workflows
AI quality gates
Delivery pipeline orchestration
GitHub integration patterns
AI-assisted release workflows
Governance frameworks
AI engineering guardrails
Approval workflows
Human review systems
Validation and retry loops
Confidence calibration
Escalation patterns
Reliability engineering
Secure AI workflow design
Plugin governance
Analyze a real engineering workflow
Design AI-assisted delivery systems
Configure CLAUDE.md
Implement commands and hooks
Integrate MCP services
Apply GitHub workflows
Improve engineering quality
Create reusable automation
Present an engineering transformation roadmap
Learn how to use AI-powered coding assistants to plan, build, test, and improve software more efficiently. Download the brochure to explore the course content, key learning outcomes, and training details.
Upon successful completion of the Agentic Software Engineering with Claude Code training, participants will receive a certification from Agilemania. Also, participants will be able to:
Claude Code helps teams move beyond manual coding by supporting AI-assisted development, workflow orchestration, code understanding, automation, and faster engineering execution.
Yes. The training covers how AI-assisted workflows can be applied to large and complex codebases using structured context management and scalable engineering practices.
Yes. Participants will learn the importance of governance models, workflow controls, reusable standards, and safe AI-assisted engineering practices for enterprise environments.
The program teaches structured prompting, context-aware workflows, validation techniques, and engineering review practices to improve output quality and consistency.
Yes. Participants learn how AI-assisted workflows can automate repetitive engineering activities, reduce manual coordination, and improve delivery efficiency.
Yes. The training is valuable for engineering leaders, architects, and tech decision-makers who want to build scalable AI-first engineering systems within their organizations.
Yes. Participants will learn how engineering teams can work effectively with AI agents across development, analysis, documentation, and delivery workflows.
The focus is on both. The training helps individuals improve productivity while also teaching organizations how to scale AI-assisted engineering practices across teams.
Software engineering is rapidly shifting toward AI-assisted execution. Teams that adopt structured AI-first engineering practices early will have a significant advantage in speed, scalability, and delivery efficiency.
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.
Modern software teams are rapidly moving toward AI-assisted engineering to improve delivery speed, reduce repetitive work, and scale development more efficiently. This training helps engineering professionals learn how to work with Claude Code to build smarter workflows, automate engineering tasks, improve code quality, and modernize software delivery practices.
Through hands-on labs, real engineering scenarios, workflow automation exercises, and practical AI-assisted development approaches, participants will gain the skills needed to work effectively in AI-driven engineering environments.
If you want to improve engineering productivity, accelerate delivery, reduce operational overhead, and stay ahead in the future of software engineering, enroll in this training today and start building scalable AI-assisted engineering workflows.
